Skip to content

BUG: Fixed upcast dtype for datetime64 in merge #31211

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 2 commits into from
Jan 23, 2020

Conversation

TomAugspurger
Copy link
Contributor

Closes #31208

@TomAugspurger TomAugspurger added this to the 1.0.0 milestone Jan 22, 2020
@jbrockmendel
Copy link
Member

LGTM

@jreback jreback added Bug Dtype Conversions Unexpected or buggy dtype conversions Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Reshaping Concat, Merge/Join, Stack/Unstack, Explode labels Jan 23, 2020
@jreback jreback merged commit e83a6bd into pandas-dev:master Jan 23, 2020
@jreback
Copy link
Contributor

jreback commented Jan 23, 2020

thanks @TomAugspurger

meeseeksmachine pushed a commit to meeseeksmachine/pandas that referenced this pull request Jan 23, 2020
@TomAugspurger TomAugspurger deleted the 31208-concat-datetime branch January 23, 2020 20:57
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Bug Dtype Conversions Unexpected or buggy dtype conversions Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Reshaping Concat, Merge/Join, Stack/Unstack, Explode
Projects
None yet
Development

Successfully merging this pull request may close these issues.

dtypes convert to object on merge on 1.0.0rc0
3 participants