8000 BUG: Fix #25959 - Don't call .array in DatetimeLikeArrayMixin's map by ThomasKluiters · Pull Request #25964 · pandas-dev/pandas · GitHub
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BUG: Fix #25959 - Don't call .array in DatetimeLikeArrayMixin's map #25964

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Merged
merged 8 commits into from
May 19, 2019
Merged

BUG: Fix #25959 - Don't call .array in DatetimeLikeArrayMixin's map #25964

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223f59f
BUG: Fix apply on series backed by datetime aware values (#25959)
ThomasKluiters Apr 2, 2019
eb37d2e
Merge branch 'master' into fix-25959
ThomasKluiters Apr 21, 2019
4ab1005
Merge branch 'master' of https://github.com/pandas-dev/pandas into fi…
ThomasKluiters Apr 29, 2019
339b155
Fix isort issue
ThomasKluiters May 7, 2019
440a2b3
Merge branch 'master' of https://github.com/pandas-dev/pandas into fi…
ThomasKluiters May 7, 2019
8f6054e
Merge branch 'master' of https://github.com/pandas-dev/pandas into fi…
ThomasKluiters May 14, 2019
4ad0bae
Use constructor_expanddim instead of DataFrame
ThomasKluiters May 18, 2019
36429a0
Add regression test and fix PEP
ThomasKluiters May 18, 2019
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Fix isort issue
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@ThomasKluiters
ThomasKluiters committed May 7, 2019
commit 339b155cfab6f01e9f4d65ea88b2b649eb010d70
6 changes: 3 additions & 3 deletions pandas/core/series.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@
import warnings

import numpy as np
import pandas as pd

from pandas._config import get_option

from pandas._libs import iNaT, index as libindex, lib, tslibs
Expand All @@ -28,6 +28,7 @@
from pandas.core.dtypes.missing import (
isna, na_value_for_dtype, notna, remove_na_arraylike)

import pandas as pd
from pandas.core import algorithms, base, generic, nanops, ops
from pandas.core.accessor import CachedAccessor
from pandas.core.arrays import ExtensionArray, SparseArray
Expand Down Expand Up @@ -3679,10 +3680,9 @@ def f(x):
mapped = lib.map_infer(values, f, convert=convert_dtype)

if len(mapped) and isinstance(mapped[0], Series):
from pandas.core.frame import DataFrame
# GH 25959 use pd.array instead of tolist
# so extension arrays can be used
return DataFrame(pd.array(mapped), index=self.index)
return pd.DataFrame(pd.array(mapped), index=self.index)
else:
return self._constructor(mapped,
index=self.index).__finalize__(self)
Expand Down
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