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6 changes: 0 additions & 6 deletions ci/code_checks.sh
Original file line number Diff line number Diff line change
Expand Up @@ -87,20 +87,14 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
-i "pandas.arrays.NumpyExtensionArray SA01" \
-i "pandas.arrays.TimedeltaArray PR07,SA01" \
-i "pandas.core.groupby.DataFrameGroupBy.boxplot PR07,RT03,SA01" \
-i "pandas.core.groupby.DataFrameGroupBy.get_group RT03,SA01" \
-i "pandas.core.groupby.DataFrameGroupBy.nunique SA01" \
-i "pandas.core.groupby.DataFrameGroupBy.plot PR02" \
-i "pandas.core.groupby.DataFrameGroupBy.sem SA01" \
-i "pandas.core.groupby.SeriesGroupBy.get_group RT03,SA01" \
-i "pandas.core.groupby.SeriesGroupBy.plot PR02" \
-i "pandas.core.groupby.SeriesGroupBy.sem SA01" \
-i "pandas.core.resample.Resampler.get_group RT03,SA01" \
-i "pandas.core.resample.Resampler.max PR01,RT03,SA01" \
-i "pandas.core.resample.Resampler.mean SA01" \
-i "pandas.core.resample.Resampler.min PR01,RT03,SA01" \
-i "pandas.core.resample.Resampler.prod SA01" \
-i "pandas.core.resample.Resampler.quantile PR01,PR07" \
-i "pandas.core.resample.Resampler.sem SA01" \
-i "pandas.core.resample.Resampler.std SA01" \
-i "pandas.core.resample.Resampler.transform PR01,RT03,SA01" \
-i "pandas.core.resample.Resampler.var SA01" \
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19 changes: 18 additions & 1 deletion pandas/core/groupby/groupby.py
Original file line number Diff line number Diff line change
Expand Up @@ -715,7 +715,19 @@ def get_group(self, name) -> DataFrame | Series:

Returns
-------
DataFrame or Series
Series or DataFrame
Get the respective Series or DataFrame corresponding to the group provided.

See Also
--------
DataFrameGroupBy.groups: Dictionary representation of the groupings formed
during a groupby operation.
DataFrameGroupBy.indices: Provides a mapping of group rows to positions
of the elements.
SeriesGroupBy.groups: Dictionary representation of the groupings formed
during a groupby operation.
SeriesGroupBy.indices: Provides a mapping of group rows to positions
of the elements.

Examples
--------
Expand Down Expand Up @@ -2658,6 +2670,11 @@ def sem(self, ddof: int = 1, numeric_only: bool = False) -> NDFrameT:
Series or DataFrame
Standard error of the mean of values within each group.

See Also
--------
DataFrame.sem : Return unbiased standard error of the mean over requested axis.
Series.sem : Return unbiased standard error of the mean over requested axis.

Examples
--------
For SeriesGroupBy:
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