Skip to content

Conversation

@jbrockmendel
Copy link
Member

  • closes #xxxx (Replace xxxx with the Github issue number)
  • Tests added and passed if fixing a bug or adding a new feature
  • All code checks passed.
  • Added type annotations to new arguments/methods/functions.
  • Added an entry in the latest doc/source/whatsnew/vX.X.X.rst file if fixing a bug or adding a new feature.

dta = DatetimeArray._simple_new(arr, dtype=arr.dtype)
dta = DatetimeArray._simple_new(arr, dtype=dtype)

# FIXME: assert (dti == dta).all()
Copy link
Member

Choose a reason for hiding this comment

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

Worth xfailing?

Copy link
Member Author

Choose a reason for hiding this comment

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

not really; im already working on the next branch that sits on top of this

@mroeschke mroeschke added Datetime Datetime data dtype Non-Nano datetime64/timedelta64 with non-nanosecond resolution labels Jun 10, 2022
@mroeschke mroeschke added this to the 1.5 milestone Jun 10, 2022
@mroeschke mroeschke merged commit a93e8df into pandas-dev:main Jun 10, 2022
@jbrockmendel jbrockmendel deleted the nano-box_func branch June 10, 2022 19:36
yehoshuadimarsky pushed a commit to yehoshuadimarsky/pandas that referenced this pull request Jul 13, 2022
* ENH: support reso in DTA._box_func

* mypy fixup
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

Datetime Datetime data dtype Non-Nano datetime64/timedelta64 with non-nanosecond resolution

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants