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BUG: Ensure .astype doesn't use PandasArray #24866

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Merged
merged 5 commits into from
Apr 28, 2019
Merged

BUG: Ensure .astype doesn't use PandasArray #24866

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9f74737
BUG: Ensure .astype doesn't use PandasArray
TomAugspurger Jan 21, 2019
e881e6e
Merge remote-tracking branch 'upstream/master' into astype-pandas-dtype
TomAugspurger Jan 22, 2019
548377f
simplify, move
TomAugspurger Jan 22, 2019
d6de645
Move to make_block
TomAugspurger Jan 22, 2019
6a37fa1
Merge branch 'master' into PR_TOOL_MERGE_PR_24866
jreback Apr 28, 2019
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8 changes: 5 additions & 3 deletions pandas/core/internals/blocks.py
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Original file line number Diff line number Diff line change
Expand Up @@ -35,7 +35,7 @@

import pandas.core.algorithms as algos
from pandas.core.arrays import (
Categorical, DatetimeArray, ExtensionArray, TimedeltaArray)
Categorical, DatetimeArray, ExtensionArray, PandasDtype, TimedeltaArray)
from pandas.core.base import PandasObject
import pandas.core.common as com
from pandas.core.indexes.datetimes import DatetimeIndex
Expand Down Expand Up @@ -530,6 +530,10 @@ def f(m, v, i):
return self.split_and_operate(None, f, False)

def astype(self, dtype, copy=False, errors='raise', values=None, **kwargs):
dtype = pandas_dtype(dtype)
if isinstance(dtype, PandasDtype):
dtype = dtype.numpy_dtype

return self._astype(dtype, copy=copy, errors=errors, values=values,
**kwargs)

Expand Down Expand Up @@ -591,8 +595,6 @@ def _astype(self, dtype, copy=False, errors='raise', values=None,

return self.make_block(Categorical(self.values, dtype=dtype))

# convert dtypes if needed
dtype = pandas_dtype(dtype)
# astype processing
if is_dtype_equal(self.dtype, dtype):
if copy:
Expand Down
5 changes: 5 additions & 0 deletions pandas/tests/series/test_internals.py
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Expand Up @@ -315,6 +315,11 @@ def test_constructor_no_pandas_array(self):
tm.assert_series_equal(ser, result)
assert isinstance(result._data.blocks[0], IntBlock)

def test_astype_no_pandas_dtype(self):
ser = pd.Series([1, 2], dtype="int64")
result = ser.astype(ser.array.dtype)
tm.assert_series_equal(result, ser)

def test_from_array(self):
result = pd.Series(pd.array(['1H', '2H'], dtype='timedelta64[ns]'))
assert result._data.blocks[0].is_extension is False
Expand Down