pandas-dev · jreback · Aug 20, 2015 · Aug 20, 2015 · Aug 20, 2015
diff --git a/doc/source/whatsnew/v0.17.0.txt b/doc/source/whatsnew/v0.17.0.txt
@@ -198,6 +198,8 @@ Other enhancements
 
   ``tolerance`` is also exposed by the lower level ``Index.get_indexer`` and ``Index.get_loc`` methods.
 
+- Support pickling of ``Period`` objects (:issue:`10439`)
+
 .. _whatsnew_0170.api:
 
 .. _whatsnew_0170.api_breaking:

diff --git a/pandas/io/tests/data/legacy_msgpack/0.16.2/0.16.2_x86_64_darwin_2.7.10.msgpack b/pandas/io/tests/data/legacy_msgpack/0.16.2/0.16.2_x86_64_darwin_2.7.10.msgpack
diff --git a/pandas/io/tests/data/legacy_pickle/0.16.2/0.16.2_x86_64_darwin_2.7.10.pickle b/pandas/io/tests/data/legacy_pickle/0.16.2/0.16.2_x86_64_darwin_2.7.10.pickle
diff --git a/pandas/io/tests/generate_legacy_storage_files.py b/pandas/io/tests/generate_legacy_storage_files.py
@@ -4,7 +4,8 @@
 from pandas import (Series, TimeSeries, DataFrame, Panel,
                     SparseSeries, SparseTimeSeries, SparseDataFrame, SparsePanel,
                     Index, MultiIndex, PeriodIndex, bdate_range, to_msgpack,
-                    date_range, period_range, bdate_range, Timestamp, Categorical)
+                    date_range, period_range, bdate_range, Timestamp, Categorical,
+                    Period)
 import os
 import sys
 import numpy as np
@@ -63,6 +64,10 @@ def create_data():
         'E': [0., 1, Timestamp('20100101'), 'foo', 2.]
     }
 
+    scalars = dict(timestamp=Timestamp('20130101'))
+    if LooseVersion(pandas.__version__) >= '0.17.0':
+        scalars['period'] = Period('2012','M')
+
     index = dict(int=Index(np.arange(10)),
                  date=date_range('20130101', periods=10),
                  period=period_range('2013-01-01', freq='M', periods=10))
@@ -79,6 +84,8 @@ def create_data():
                                                          names=['one', 'two'])),
                   dup=Series(np.arange(5).astype(np.float64), index=['A', 'B', 'C', 'D', 'A']),
                   cat=Series(Categorical(['foo', 'bar', 'baz'])))
+    if LooseVersion(pandas.__version__) >= '0.17.0':
+        series['period'] = Series([Period('2000Q1')] * 5)
 
     mixed_dup_df = DataFrame(data)
     mixed_dup_df.columns = list("ABCDA")
@@ -107,6 +114,7 @@ def create_data():
                 frame=frame,
                 panel=panel,
                 index=index,
+                scalars=scalars,
                 mi=mi,
                 sp_series=dict(float=_create_sp_series(),
                                ts=_create_sp_tsseries()),

diff --git a/pandas/io/tests/test_pickle.py b/pandas/io/tests/test_pickle.py
@@ -48,7 +48,7 @@ def compare_element(self, typ, result, expected):
             comparator = getattr(test_sparse,"assert_%s_equal" % typ)
             comparator(result,expected,exact_indices=False)
         else:
-            comparator = getattr(tm,"assert_%s_equal" % typ)
+            comparator = getattr(tm,"assert_%s_equal" % typ,tm.assert_almost_equal)
             comparator(result,expected)
 
     def compare(self, vf):

diff --git a/pandas/src/period.pyx b/pandas/src/period.pyx
@@ -969,6 +969,14 @@ cdef class Period(object):
         value = ("%s" % formatted)
         return value
 
+    def __setstate__(self, state):
+        self.freq=state[1]
+        self.ordinal=state[2]
+
+    def __reduce__(self):
+        object_state = None, self.freq, self.ordinal
+        return (Period, object_state)
+
     def strftime(self, fmt):
         """
         Returns the string representation of the :class:`Period`, depending

diff --git a/pandas/tseries/tests/test_period.py b/pandas/tseries/tests/test_period.py
@@ -2471,7 +2471,6 @@ def test_append_concat(self):
 
     def test_pickle_freq(self):
         # GH2891
-        import pickle
         prng = period_range('1/1/2011', '1/1/2012', freq='M')
         new_prng = self.round_trip_pickle(prng)
         self.assertEqual(new_prng.freq,'M')
@@ -2536,6 +2535,12 @@ def test_searchsorted(self):
             ValueError, 'Different period frequency: H',
             lambda: pidx.searchsorted(pd.Period('2014-01-01', freq='H')))
 
+    def test_round_trip(self):
+
+        p = Period('2000Q1')
+        new_p = self.round_trip_pickle(p)
+        self.assertEqual(new_p, p)
+
 def _permute(obj):
     return obj.take(np.random.permutation(len(obj)))