Skip to content

STY: apply b905 strict limit to zip in pandas/core/reshape/reshape.py #63054

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

Open
wants to merge 5 commits into
base: main
Choose a base branch
from
+2 −2
Open

STY: apply b905 strict limit to zip in pandas/core/reshape/reshape.py #63054

Changes from all commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
166e8f0
apply b905 strict limit in concat.py
AnonToky Nov 4, 2025
590cd2f
Merge branch 'pandas-dev:main' into sty-b905
AnonToky Nov 9, 2025
eca6a66
Fix zip function to enforce strict matching
AnonToky Nov 9, 2025
bcdc06b
Fix zip function to enforce strict matching
AnonToky Nov 9, 2025
7b793d5
Merge pull request #1 from AnonToky/AnonToky-patch-1
AnonToky Nov 9, 2025
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
4 changes: 2 additions & 2 deletions pandas/core/reshape/reshape.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -778,7 +778,7 @@ def _stack_multi_column_index(columns: MultiIndex) -> MultiIndex | Index:

levs = (
[lev[c] if c >= 0 else None for c in codes]
for lev, codes in zip(columns.levels[:-1], columns.codes[:-1])
for lev, codes in zip(columns.levels[:-1], columns.codes[:-1], strict = True)
)

# Remove duplicate tuples in the MultiIndex.
Expand All @@ -792,7 +792,7 @@ def _stack_multi_column_index(columns: MultiIndex) -> MultiIndex | Index:
[
# Not all indices can accept None values.
Index(new_lev, dtype=lev.dtype) if None not in new_lev else new_lev
for new_lev, lev in zip(new_levs, columns.levels)
for new_lev, lev in zip(new_levs, columns.levels, strict = True)
],
names=columns.names[:-1],
)
Expand Down
Loading