Skip to content

fixed pivot_table sort argument in pandas_stubs #1077

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 4 commits into from
Dec 26, 2024
Merged

fixed pivot_table sort argument in pandas_stubs #1077

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
0f70c14
fixed pivot_table sort argument in pandas_stubs
Mariihmp Dec 24, 2024
affdb26
fixed pivot_table argument and test_pivot_table
Mariihmp Dec 24, 2024
dd2af98
replaced single-quote with double
Mariihmp Dec 24, 2024
284e6bc
applied pre-commit hooks formated lint code
Mariihmp Dec 26, 2024
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
1 change: 1 addition & 0 deletions pandas-stubs/core/frame.pyi
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1295,6 +1295,7 @@ class DataFrame(NDFrame, OpsMixin):
dropna: _bool = ...,
margins_name: _str = ...,
observed: _bool = ...,
sort: _bool = ...,
) -> DataFrame: ...
@overload
def stack(
Expand Down
11 changes: 11 additions & 0 deletions tests/test_frame.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1088,6 +1088,17 @@ def test_types_pivot_table() -> None:
)


def test_pivot_table_sort():
df = pd.DataFrame({"a": [1, 2], "b": [3, 4], "c": [5, 6], "d": [7, 8]})

check(
assert_type(
df.pivot_table(values="a", index="b", columns="c", sort=True), pd.DataFrame
),
pd.DataFrame,
)


def test_types_groupby_as_index() -> None:
"""Test type of groupby.size method depending on `as_index`."""
df = pd.DataFrame({"a": [1, 2, 3]})
Expand Down
Loading