Skip to content

WARN: Remove non-actionable warning in value_counts #54789

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.

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
Aug 28, 2023

Conversation

phofl
Copy link
Member

@phofl phofl commented Aug 28, 2023

cc @rhshadrach maybe?

@phofl phofl added Groupby Regression Functionality that used to work in a prior pandas version Categorical Categorical Data Type labels Aug 28, 2023
@phofl phofl added this to the 2.1 milestone Aug 28, 2023
@phofl phofl mentioned this pull request Aug 28, 2023
Copy link
Member

@MarcoGorelli MarcoGorelli left a comment

Choose a reason for hiding this comment

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

as far as I can tell, this is correct

@phofl phofl merged commit 94dcf24 into pandas-dev:main Aug 28, 2023
@phofl phofl deleted the value_counts branch August 28, 2023 10:35
meeseeksmachine pushed a commit to meeseeksmachine/pandas that referenced this pull request Aug 28, 2023
phofl added a commit that referenced this pull request Aug 28, 2023
…ng in value_counts) (#54795)

Backport PR #54789: WARN: Remove non-actionable warning in value_counts

Co-authored-by: Patrick Hoefler <61934744+phofl@users.noreply.github.com>
@rhshadrach
Copy link
Member

Thanks @phofl - changes look great. Looks like we didn't have any test coverage here - I've opened #54836

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Categorical Categorical Data Type Groupby Regression Functionality that used to work in a prior pandas version
Projects
None yet
Development

Successfully merging this pull request may close these issues.

BUG: Un-actionable FutureWarning in DataFrame.value_counts with categorical column(s)
3 participants