BUG: Series.mode with dt64tz or PeriodDtype #44582
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jreback
requested changes
Nov 25, 2021
pandas/core/arrays/datetimelike.py
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| # type, _SupportsDType, str, Union[Tuple[Any, int], Tuple[Any, Union[int, | ||
| # Sequence[int]]], List[Any], _DTypeDict, Tuple[Any, Any]]]" | ||
| return self._ndarray.view(dtype=dtype) # type: ignore[return-value,arg-type] | ||
| return super().view(dtype) |
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can you remove this entirely (since it will just user the super view anyhow)?
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not with the @overloads just above this
| assert res.dtype == ser.dtype | ||
| tm.assert_series_equal(res, ser) | ||
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| res = pd.core.algorithms.mode(ser._values) |
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don't we have a rule which prevents this? e.g. can you import at the top instead
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not sure about the rule. will move the import
4 tasks
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i ithink this needs a rebase as merged the underlying PR |
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Rebased +greenish |
jreback
approved these changes
Nov 26, 2021
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Sits on top of #44581