diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index ba8c3fbb18fe7..fae1a7abba6a8 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -92,14 +92,12 @@ 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.groups SA01" \
         -i "pandas.core.groupby.DataFrameGroupBy.indices SA01" \
         -i "pandas.core.groupby.DataFrameGroupBy.nth PR02" \
         -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.groups SA01" \
         -i "pandas.core.groupby.SeriesGroupBy.indices SA01" \
         -i "pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing SA01" \
         -i "pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing SA01" \
@@ -107,7 +105,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -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.groups SA01" \
         -i "pandas.core.resample.Resampler.indices SA01" \
         -i "pandas.core.resample.Resampler.max PR01,RT03,SA01" \
         -i "pandas.core.resample.Resampler.mean SA01" \
diff --git a/pandas/core/groupby/groupby.py b/pandas/core/groupby/groupby.py
index 8f2e5d2ee09d4..9c30132347111 100644
--- a/pandas/core/groupby/groupby.py
+++ b/pandas/core/groupby/groupby.py
@@ -435,6 +435,20 @@ def groups(self) -> dict[Hashable, Index]:
         """
         Dict {group name -> group labels}.
 
+        This property provides a dictionary representation of the groupings formed
+        during a groupby operation, where each key represents a unique group value from
+        the specified column(s), and each value is a list of index labels
+        that belong to that group.
+
+        See Also
+        --------
+        core.groupby.DataFrameGroupBy.get_group : Retrieve group from a
+            ``DataFrameGroupBy`` object with provided name.
+        core.groupby.SeriesGroupBy.get_group : Retrieve group from a
+            ``SeriesGroupBy`` object with provided name.
+        core.resample.Resampler.get_group : Retrieve group from a
+            ``Resampler`` object with provided name.
+
         Examples
         --------