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

* Added See Also Sections

* pre-commit checks

* Update code_checks.sh

* Udpate code_checks.sh

* Update ci/code_checks.sh

Author: thedataninja1786

ci/code_checks.sh

@@ -86,19 +86,15 @@ 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" \

pandas/core/groupby/generic.py

@@ -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(

pandas/core/groupby/groupby.py

@@ -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: