8000 ENH: Period pickle by jreback · Pull Request #10866 · pandas-dev/pandas · GitHub
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ENH: Period pickle #10866

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Merged
merged 2 commits into from
Aug 20, 2015
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ENH: Period pickle #10866

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0525684
ENH: pickle support for Period #10439
Aug 20, 2015
aa04812
update legacy_storage for pickles
jreback Aug 20, 2015
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update legacy_storage for pickles
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@jreback
jreback committed Aug 20, 2015
commit aa04812aa8da5505a52b094acffb8296f041b637
2 changes: 2 additions & 0 deletions doc/source/whatsnew/v0.17.0.txt
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Expand Up @@ -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:
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13 changes: 10 additions & 3 deletions pandas/io/tests/generate_legacy_storage_files.py
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Expand Up @@ -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
Expand Down Expand Up @@ -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))
Expand All @@ -78,8 +83,9 @@ def create_data():
index=MultiIndex.from_tuples(tuple(zip(*[[1, 1, 2, 2, 2], [3, 4, 3, 4, 5]])),
names=['one', 'two'])),
dup=Series(np.arange(5).astype(np.float64), index=['A', 'B', 'C', 'D', 'A']),
cat=Series(Categorical(['foo', 'bar', 'baz'])),
per=Series([Period('2000Q1')] * 5))
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")
Expand Down Expand Up @@ -108,6 +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()),
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2 changes: 1 addition & 1 deletion pandas/io/tests/test_pickle.py
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Expand Up @@ -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):
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6 changes: 0 additions & 6 deletions pandas/tseries/tests/test_period.py
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Expand Up @@ -6,9 +6,6 @@

"""

import pickle
import os

from datetime import datetime, date, timedelta

from numpy.ma.testutils import assert_equal
Expand Down Expand Up @@ -2474,7 +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')
Expand Down Expand Up @@ -2541,9 +2537,7 @@ def test_searchsorted(self):

def test_round_trip(self):

import pickle
p = Period('2000Q1')

new_p = self.round_trip_pickle(p)
self.assertEqual(new_p, p)

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