Skip to content

DOC: fix SA01,ES01 for pandas.errors.CategoricalConversionWarning #60011

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 1 commit into from
Oct 9, 2024
Merged

DOC: fix SA01,ES01 for pandas.errors.CategoricalConversionWarning #60011

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
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: 0 additions & 1 deletion ci/code_checks.sh
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -134,7 +134,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
-i "pandas.core.resample.Resampler.var SA01" \
-i "pandas.errors.AttributeConflictWarning SA01" \
-i "pandas.errors.CSSWarning SA01" \
-i "pandas.errors.CategoricalConversionWarning SA01" \
-i "pandas.errors.ChainedAssignmentError SA01" \
-i "pandas.errors.DataError SA01" \
-i "pandas.errors.DuplicateLabelError SA01" \
Expand Down
9 changes: 9 additions & 0 deletions pandas/errors/__init__.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -731,6 +731,15 @@ class CategoricalConversionWarning(Warning):
"""
Warning is raised when reading a partial labeled Stata file using a iterator.

This warning helps ensure data integrity and alerts users to potential issues
during the incremental reading of Stata files with labeled data, allowing for
additional checks and adjustments as necessary.

See Also
--------
read_stata : Read a Stata file into a DataFrame.
Categorical : Represents a categorical variable in pandas.

Examples
--------
>>> from pandas.io.stata import StataReader
Expand Down
Loading