BUG: support non-nano times in ewm #56262
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mroeschke
reviewed
Nov 30, 2023
doc/source/whatsnew/v2.2.0.rst
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| - Bug in :meth:`DataFrameGroupBy.value_counts` and :meth:`SeriesGroupBy.value_count` could result in incorrect sorting if the columns of the DataFrame or name of the Series are integers (:issue:`55951`) | ||
| - Bug in :meth:`DataFrameGroupBy.value_counts` and :meth:`SeriesGroupBy.value_count` would not respect ``sort=False`` in :meth:`DataFrame.groupby` and :meth:`Series.groupby` (:issue:`55951`) | ||
| - Bug in :meth:`DataFrameGroupBy.value_counts` and :meth:`SeriesGroupBy.value_count` would sort by proportions rather than frequencies when ``sort=True`` and ``normalize=True`` (:issue:`55951`) | ||
| - Bug in :meth:`DataFrame.ewm` when passed ``times`` with non-nanosecond ``datetime64`` or :class:`DatetimeTZDtype` dtype (:issue:`??`) |
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Suggested change
| - Bug in :meth:`DataFrame.ewm` when passed ``times`` with non-nanosecond ``datetime64`` or :class:`DatetimeTZDtype` dtype (:issue:`??`) | |
| - Bug in :meth:`DataFrame.ewm` when passed ``times`` with non-nanosecond ``datetime64`` or :class:`DatetimeTZDtype` dtype (:issue:`56262`) |
mroeschke
reviewed
Nov 30, 2023
pandas/core/window/ewm.py
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| is_datetime64_dtype(times_dtype) | ||
| or isinstance(times_dtype, DatetimeTZDtype) | ||
| ): | ||
| raise ValueError("times must be datetime64[ns] dtype.") |
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Suggested change
| raise ValueError("times must be datetime64[ns] dtype.") | |
| raise ValueError("times must be datetime64 dtype.") |
mroeschke
added
Window
|
updated+green |
mroeschke
approved these changes
Nov 30, 2023
|
Thanks @jbrockmendel |
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doc/source/whatsnew/vX.X.X.rstfile if fixing a bug or adding a new feature.