Skip to content

BUG: setitem with boolean mask and series as value is broken for Series with EA type #37676

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 12 commits into from
Nov 17, 2020
Merged

BUG: setitem with boolean mask and series as value is broken for Series with EA type #37676

Changes from 2 commits
Commits
Show all changes
12 commits
Select commit Hold shift + click to select a range
b48c9da
Add test for 26468
phofl Nov 6, 2020
6cf8b26
Change import order
phofl Nov 6, 2020
ee18953
Simplify test
phofl Nov 7, 2020
22a6bff
Delete import
phofl Nov 7, 2020
88fe157
Adress review comments
phofl Nov 8, 2020
7bed804
Modify test
phofl Nov 8, 2020
b2efced
Change dtype
phofl Nov 9, 2020
f471060
Merge branch 'master' of https://github.com/pandas-dev/pandas into 26468
phofl Nov 10, 2020
0fe21c6
Enhance test
phofl Nov 14, 2020
dd8aed3
Run black
phofl Nov 14, 2020
81d4d60
Add new fixture
phofl Nov 15, 2020
5eb5506
Merge branch 'master' of https://github.com/pandas-dev/pandas into 26468
phofl Nov 15, 2020
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 12 additions & 0 deletions pandas/tests/series/indexing/test_setitem.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,11 +4,13 @@
import pytest

from pandas import (
DataFrame,
DatetimeIndex,
MultiIndex,
NaT,
Series,
Timestamp,
array,
date_range,
period_range,
)
Expand Down Expand Up @@ -126,6 +128,16 @@ def test_setitem_boolean_different_order(self, string_series):

tm.assert_series_equal(copy, expected)

def test_setitem_boolean_ea_type(self):
# GH: 26468
df = DataFrame(
{"a": [0, 0, np.nan, np.nan], "b": array(range(4), dtype="Int64")}
)
s = Series(array([1] * 4, dtype="Int64"))
s[df["a"].isna()] = df.loc[df["a"].isna(), "b"]
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

can you do this without constructing a DataFrame

Copy link
Member Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Avoided the DataFrame construction. Checked, that this raised the same error as reported in the issue.

expected = Series([1, 1, 2, 3], dtype="Int64")
tm.assert_series_equal(s, expected)


class TestSetitemViewCopySemantics:
def test_setitem_invalidates_datetime_index_freq(self):
Expand Down