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BUG-24971 copying blocks also considers ndim #25521

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Merged
merged 5 commits into from
Mar 20, 2019
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BUG-24971 copying blocks also considers ndim #25521

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BUG-24971 copying blocks also considers ndim
JustinZhengBC Mar 3, 2019
3cfd808
BUG-24971 clarify whatsnew and move tests
JustinZhengBC Mar 3, 2019
e22d67c
fix test
JustinZhengBC Mar 4, 2019
6c75e77
rename test and add message
JustinZhengBC Mar 4, 2019
f7c9e3a
merge master
JustinZhengBC Mar 20, 2019
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2 changes: 1 addition & 1 deletion doc/source/whatsnew/v0.24.2.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -66,7 +66,7 @@ Bug Fixes

**Categorical**

-
- Bug where a copy of a categorical could have the wrong dimensions (:issue:`24971`)
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@jreback jreback Mar 3, 2019

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can you reword to make this more clear. mentione this is on a Series of categorical dtype. The dimenension issue is an internal one. You want to emphasize the user visible effects.

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@jreback jreback Mar 3, 2019

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this is visible when you call .replace()

-
-

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2 changes: 1 addition & 1 deletion pandas/core/internals/blocks.py
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Expand Up @@ -738,7 +738,7 @@ def copy(self, deep=True):
values = self.values
if deep:
values = values.copy()
return self.make_block_same_class(values)
return self.make_block_same_class(values, ndim=self.ndim)

def replace(self, to_replace, value, inplace=False, filter=None,
regex=False, convert=True):
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7 changes: 6 additions & 1 deletion pandas/tests/series/test_constructors.py
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Expand Up @@ -14,7 +14,7 @@
from pandas.compat import PY36, long, lrange, range, zip

from pandas.core.dtypes.common import (
is_categorical_dtype, is_datetime64tz_dtype)
is_categorical_dtype, is_datetime64tz_dtype, is_list_like)

import pandas as pd
from pandas import (
Expand Down Expand Up @@ -532,6 +532,11 @@ def test_constructor_copy(self):
assert x[0] == 2.
assert y[0] == 1.

def test_copy_categorical_ndim(self):
# GH 24971
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@jreback jreback Mar 3, 2019

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can you put all 3 tests from the OP here.

s = Series(Categorical(['A'], categories=['A']))
assert not is_list_like(s.replace({'A': 1})[0])
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@jreback jreback Mar 3, 2019

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use assert_series_equal


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this should go with the replace tests

@pytest.mark.parametrize(
"index",
[
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