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.

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

BUG: IntervalIndex.get_indexer incorrectly matching ints to datetimes #54964

Merged
merged 7 commits into from
Sep 20, 2023

Conversation

jbrockmendel
Copy link
Member

@mroeschke mroeschke added the Interval Interval data type label Sep 5, 2023
@mroeschke mroeschke added this to the 2.2 milestone Sep 20, 2023
@mroeschke
Copy link
Member

Thanks @jbrockmendel

@mroeschke mroeschke merged commit 28f274c into pandas-dev:main Sep 20, 2023
@jbrockmendel jbrockmendel deleted the bug-cut branch September 20, 2023 21:43
@rhshadrach
Copy link
Member

This patch may have induced a performance regression. If it was a necessary behavior change, this may have been expected and everything is okay.

Please check the links below. If any ASVs are parameterized, the combinations of parameters that a regression has been detected for appear as subbullets.

Subsequent benchmarks may have skipped some commits. The link below lists the commits that are between the two benchmark runs where the regression was identified.

a98be06...28f274c

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Interval Interval data type
Projects
None yet
Development

Successfully merging this pull request may close these issues.

API: IntervalIndex.get_indexer not strict about passed target values dtype
3 participants