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 Fix: Allow using datetime64[ns, UTC] in IntervalDtype #47208

Merged
merged 12 commits into from
Jun 7, 2022

Conversation

weikhor
Copy link
Contributor

@weikhor weikhor commented Jun 3, 2022

@mroeschke mroeschke added Timezones Timezone data dtype Interval Interval data type labels Jun 3, 2022
@weikhor weikhor requested a review from mroeschke June 6, 2022 08:14
@mroeschke mroeschke added this to the 1.5 milestone Jun 6, 2022
Copy link
Member

@mroeschke mroeschke left a comment

Choose a reason for hiding this comment

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

LGTM (failures unrelated)

@mroeschke mroeschke merged commit 1e9c151 into pandas-dev:main Jun 7, 2022
@mroeschke
Copy link
Member

Thanks @weikhor!

@weikhor weikhor deleted the datetime_interval_dtype branch June 8, 2022 00:17
yehoshuadimarsky pushed a commit to yehoshuadimarsky/pandas that referenced this pull request Jul 13, 2022
…#47208)

* add test

* repair by comment

* repair by comment

* repair by comment

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

Successfully merging this pull request may close these issues.

BUG: Allow using datetime64[ns, UTC] in IntervalDtype
3 participants