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: IntegerArray/FloatingArray ufunc with 'out' kwd #45122

Merged
merged 1 commit into from Dec 31, 2021

Conversation

jbrockmendel
Copy link
Member

  • closes #xxxx
  • tests added / passed
  • Ensure all linting tests pass, see here for how to run them
  • whatsnew entry

@jreback jreback added this to the 1.4 milestone Dec 31, 2021
@jreback jreback added the ExtensionArray Extending pandas with custom dtypes or arrays. label Dec 31, 2021
@jreback jreback merged commit b2d54d9 into pandas-dev:master Dec 31, 2021
@jbrockmendel jbrockmendel deleted the ref-array_ufunc branch December 31, 2021 16:48
@@ -939,6 +939,7 @@ ExtensionArray
- Bug in :func:`array` failing to preserve :class:`PandasArray` (:issue:`43887`)
- NumPy ufuncs ``np.abs``, ``np.positive``, ``np.negative`` now correctly preserve dtype when called on ExtensionArrays that implement ``__abs__, __pos__, __neg__``, respectively. In particular this is fixed for :class:`TimedeltaArray` (:issue:`43899`, :issue:`23316`)
- NumPy ufuncs ``np.minimum.reduce`` ``np.maximum.reduce``, ``np.add.reduce``, and ``np.prod.reduce`` now work correctly instead of raising ``NotImplementedError`` on :class:`Series` with ``IntegerDtype`` or ``FloatDtype`` (:issue:`43923`, :issue:`44793`)
- NumPy ufuncs with ``out`` keyword are now supported by arrays with ``IntegerDtype`` and ``FloatingDtype`` (:issue:`??`)
Copy link
Member

Choose a reason for hiding this comment

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

?? -> 45122

Copy link
Member Author

Choose a reason for hiding this comment

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

yep, its in my next CLN branch

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
ExtensionArray Extending pandas with custom dtypes or arrays.
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

3 participants