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  • Closes #xxxx (Replace xxxx with the Github issue number)
  • Tests added: Please use assert_type() to assert the type of any return value

limit: int | None = ...,
fill_axis: Axis = ...,
broadcast_axis: Axis | None = ...,
fill_value: Hashable | None = ...,
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some methods use Hashable for fill_value, others Scalar, I'm not sure. anyway for now in this PR I'm just going with what's in pandas

@MarcoGorelli MarcoGorelli marked this pull request as ready for review March 2, 2025 16:45
limit: int | None = ...,
fill_axis: Axis = ...,
broadcast_axis: Axis | None = ...,
fill_value: Hashable | None = ...,
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This should be Scalar | NAType | None . In the stubs, we want to promote "good" behavior, and Hashable is too wide. In addition, the docs say "fill value: scalar, default np.nan" . Maybe the pandas source should change??

limit: int | None = ...,
fill_axis: AxisIndex = ...,
broadcast_axis: AxisIndex | None = ...,
fill_value: Hashable | None = ...,
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Use Scalar | NAType | None

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By the way, hope it's OK to ask, is a release planned any time soon? Some of the recent improvements would help out with internal type checking in Narwhals (no hurry / pressure of course!)

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Dr-Irv commented Mar 4, 2025

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Yes. I think once your other PR's are done, I will do a release. I was going to do one this past Saturday, but had to wait for pyright to be updated, and by the time that happened, you had created a bunch of PRs!!

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Thanks @MarcoGorelli

@Dr-Irv Dr-Irv merged commit bdd0946 into pandas-dev:main Mar 4, 2025
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Dr-Irv commented Mar 8, 2025

By the way, hope it's OK to ask, is a release planned any time soon? Some of the recent improvements would help out with internal type checking in Narwhals (no hurry / pressure of course!)

@MarcoGorelli I just did a release today

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