type args and kwargs as Any in frame.pyi #1175
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MarcoGorelli
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Mar 18, 2025
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| ) -> Series: ... | ||
| @overload | ||
| def mode( | ||
| self, | ||
| axis: Axis = ..., | ||
| skipna: _bool = ..., | ||
| numeric_only: _bool = ..., | ||
| *, | ||
| level: Level, | ||
| **kwargs, | ||
| ) -> Self: ... | ||
| @overload | ||
| def mode( | ||
| self, | ||
| axis: Axis = ..., | ||
| skipna: _bool = ..., | ||
| level: None = ..., | ||
| numeric_only: _bool = ..., | ||
| **kwargs, | ||
| dropna: _bool = ..., | ||
| ) -> Series: ... |
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skipna and level aren't valid arguments to DataFrame.mode https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.mode.html
these may have been taken from a really old pandas version?
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skipnaandlevelaren't valid arguments toDataFrame.modehttps://pandas.pydata.org/docs/reference/api/pandas.DataFrame.mode.htmlthese may have been taken from a really old pandas version?
the original stubs created by Microsoft were based on pandas 1.3 (or maybe earlier). So there is still a lot of stuff remaining from that version that never got cleaned up. Including updates to pandas beyond that.
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ref #1168
These are all cases where
kwargs/argsjust exist for compatibility with numpyExceptions are:
query: typekwargsinDataFrame.queryaccording toDataFrame.eval#1173pct_change: typekwargsinpct_changeaccording to params inshift#1169to_clipboard: typekwargsinDataFrame.to_clipboardaccording toto_csv#1174assign: I'll open a separate PR for that one nowagg/transform: users can pass their own function so these can really beAnyCloses #xxxx (Replace xxxx with the Github issue number)
Tests added: Please use
assert_type()to assert the type of any return value