10000 API: re-allow duplicate index level names by jorisvandenbossche · Pull Request #21423 · pandas-dev/pandas · GitHub
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API: re-allow duplicate index level names #21423

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re-enable tests
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jorisvandenbossche committed Jun 27, 2018
commit 4872a7c6f6ec3f7b84884ad9714365ebcbc74fa8
22 changes: 19 additions & 3 deletions pandas/tests/frame/test_alter_axes.py
Original file line number Diff line number Diff line change
Expand Up @@ -145,9 +145,12 @@ def test_set_index_duplicate_names(self, level):
result = df.set_index([level], append=True)
tm.assert_index_equal(result.index, expected)

# Pass twice the same level name:
df.index.name = 'c'
# pytest.raises(ValueError, df.set_index, [level, level])
# Pass twice the same level name (only works with passing actual data)
if isinstance(level, pd.Series):
result = df.set_index([level, level])
expected = pd.MultiIndex.from_tuples(
[(0, 0), (2, 2), (4, 4), (6, 6)], names=['a', 'a'])
tm.assert_index_equal(result.index, expected)

def test_set_index_nonuniq(self):
df = DataFrame({'A': ['foo', 'foo', 'foo', 'bar', 'bar'],
Expand Down Expand Up @@ -622,6 +625,19 @@ def test_reorder_levels(self):
index=e_idx)
assert_frame_equal(result, expected)

result = df.reorder_levels([0, 0, 0])
e_idx = MultiIndex(levels=[['bar'], ['bar'], ['bar']],
labels=[[0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0]],
names=['L0', 'L0', 'L0'])
expected = DataFrame({'A': np.arange(6), 'B': np.arange(6)},
index=e_idx)
assert_frame_equal(result, expected)

result = df.reorder_levels(['L0', 'L0', 'L0'])
assert_frame_equal(result, expected)

def test_reset_index(self):
stacked = self.frame.stack()[::2]
stacked = DataFrame({'foo': stacked, 'bar': stacked})
Expand Down
10 changes: 10 additions & 0 deletions pandas/tests/frame/test_reshape.py
Original file line number Diff line number Diff line change
Expand Up @@ -560,6 +560,16 @@ def test_unstack_dtypes(self):
assert left.shape == (3, 2)
tm.assert_frame_equal(left, right)

def test_unstack_non_unique_index_names(self):
idx = MultiIndex.from_tuples([('a', 'b'), ('c', 'd')],
names=['c1', 'c1'])
df = DataFrame([1, 2], index=idx)
with pytest.raises(ValueError):
df.unstack('c1')

with pytest.raises(ValueError):
df.T.stack('c1')

def test_unstack_unused_levels(self):
# GH 17845: unused labels in index make unstack() cast int to float
idx = pd.MultiIndex.from_product([['a'], ['A', 'B', 'C', 'D']])[:-1]
Expand Down
4 changes: 0 additions & 4 deletions pandas/tests/groupby/test_categorical.py
Original file line number Diff line number Diff line change
Expand Up @@ -560,10 +560,6 @@ def test_as_index():
result = df.groupby(['cat', s], as_index=False, observed=True).sum()
tm.assert_frame_equal(result, expected)

# # GH18872: conflicting names in desired index
# with pytest.raises(ValueError):
# df.groupby(['cat', s.rename('cat')], observed=True).sum()

# is original index dropped?
group_columns = ['cat', 'A']
expected = DataFrame(
Expand Down
39 changes: 23 additions & 16 deletions pandas/tests/indexes/test_multi.py
Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,8 @@
from datetime import timedelta
from itertools import product

import six

import pytest

import numpy as np
Expand Down Expand Up @@ -656,22 +658,27 @@ def test_constructor_nonhashable_names(self):
# With .set_names()
tm.assert_raises_regex(TypeError, message, mi.set_names, names=renamed)

# @pytest.mark.parametrize('names', [['a', 'b', 'a'], ['1', '1', '2'],
# ['1', 'a', '1']])
# def test_duplicate_level_names(self, names):
# # GH18872
# pytest.raises(ValueError, pd.MultiIndex.from_product,
# [[0, 1]] * 3, names=names)

# # With .rename()
# mi = pd.MultiIndex.from_product([[0, 1]] * 3)
# tm.assert_raises_regex(ValueError, "Duplicated level name:",
# mi.rename, names)

# # With .rename(., level=)
# mi.rename(names[0], level=1, inplace=True)
# tm.assert_raises_regex(ValueError, "Duplicated level name:",
# mi.rename, names[:2], level=[0, 2])
@pytest.mark.parametrize('names', [['a', 'b', 'a'], [1, 1, 2],
[1, 'a', 1]])
def test_duplicate_level_names(self, names):
# GH18872, GH19029
mi = pd.MultiIndex.from_product([[0, 1]] * 3, names=names)
assert mi.names == names

# With .rename()
mi = pd.MultiIndex.from_product([[0, 1]] * 3)
mi = mi.rename(names)
assert mi.names == names

# With .rename(., level=)
mi.rename(names[1], level=1, inplace=True)
mi = mi.rename([names[0], names[2]], level=[0, 2])
assert mi.names == names

def test_duplicate_level_names_access_raises(self):
self.index.names = ['foo', 'foo']
tm.assert_raises_regex(KeyError, 'Level foo not found',
self.index._get_level_number, 'foo')

def assert_multiindex_copied(self, copy, original):
# Levels should be (at least, shallow copied)
Expand Down
6 changes: 6 additions & 0 deletions pandas/tests/io/test_pytables.py
Original file line number Diff line number Diff line change
Expand Up @@ -1893,6 +1893,12 @@ def make_index(names=None):
'a', 'b'], index=make_index(['date', 'a', 't']))
pytest.raises(ValueError, store.append, 'df', df)

# dup within level
_maybe_remove(store, 'df')
df = DataFrame(np.zeros((12, 2)), columns=['a', 'b'],
index=make_index(['date', 'date', 'date']))
pytest.raises(ValueError, store.append, 'df', df)

# fully names
_maybe_remove(store, 'df')
df = DataFrame(np.zeros((12, 2)), columns=[
Expand Down
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