Skip to content
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

fix(python): raise error when pandas df's some index name duplicates some column name #16023

Closed
wants to merge 5 commits into from
Closed

fix(python): raise error when pandas df's some index name duplicates some column name #16023

Changes from 2 commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
1d072ee
fix: raise ValueError when convert from pandas when index name duplic…
piri-p May 2, 2024
8eeb0b5
fix: raise ValueError when convert from pandas when index name duplic…
piri-p May 2, 2024
679940e
fix: raise ValueError when convert from pandas when index name duplic…
piri-p May 2, 2024
019506b
fix: raise ValueError when convert from pandas when index name duplic…
piri-p May 2, 2024
2a5dccf
fix: raise ValueError when convert from pandas when index name duplic…
piri-p May 2, 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
3 changes: 3 additions & 0 deletions py-polars/polars/_utils/construction/dataframe.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1020,6 +1020,9 @@ def pandas_to_pydf(
) -> PyDataFrame:
"""Construct a PyDataFrame from a pandas DataFrame."""
convert_index = include_index and not _pandas_has_default_index(data)
if convert_index and (data.index.name in data.columns):
msg = "cannot convert pandas DataFrame when index name duplicates some column name"
raise ValueError(msg)
piri-p marked this conversation as resolved.
Show resolved Hide resolved
if not convert_index and all(
is_simple_numpy_backed_pandas_series(data[col]) for col in data.columns
):
Expand Down
Loading