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Adds See Also sections to pandas.core.groupby.DataFrameGroupBy.sem, pandas.core.groupby.DataFrameGroupBy.nunique #60480

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Dec 3, 2024
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Adds See Also sections to pandas.core.groupby.DataFrameGroupBy.sem, pandas.core.groupby.DataFrameGroupBy.nunique #60480

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a95924c
Added See Also Sections
thedataninja1786 Dec 3, 2024
29774e6
pre-commit checks
thedataninja1786 Dec 3, 2024
a0e3160
Update code_checks.sh
thedataninja1786 Dec 3, 2024
0443ae8
Merge remote-tracking branch 'upstream/main' into #60365-enforce-nump…
thedataninja1786 Dec 3, 2024
7ed9c5d
Udpate code_checks.sh
thedataninja1786 Dec 3, 2024
d63df4d
Update ci/code_checks.sh
thedataninja1786 Dec 3, 2024
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4 changes: 0 additions & 4 deletions ci/code_checks.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -88,19 +88,15 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
-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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4 changes: 4 additions & 0 deletions pandas/core/groupby/generic.py
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Expand Up @@ -2453,6 +2453,10 @@ def nunique(self, dropna: bool = True) -> DataFrame:
nunique: DataFrame
Counts of unique elements in each position.

See Also
--------
DataFrame.nunique : Count number of distinct elements in specified axis.

Examples
--------
>>> df = pd.DataFrame(
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5 changes: 5 additions & 0 deletions pandas/core/groupby/groupby.py
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Expand Up @@ -2658,6 +2658,11 @@ 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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