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DOC: fix SA01,ES01 for pandas.core.groupby.DataFrameGroupBy.groups
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ci/code_checks.sh

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@@ -100,15 +100,13 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.core.groupby.DataFrameGroupBy.plot PR02" \
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-i "pandas.core.groupby.DataFrameGroupBy.sem SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.get_group RT03,SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.groups SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.indices SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.nth PR02" \
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-i "pandas.core.groupby.SeriesGroupBy.plot PR02" \
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-i "pandas.core.groupby.SeriesGroupBy.sem SA01" \
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-i "pandas.core.resample.Resampler.get_group RT03,SA01" \
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-i "pandas.core.resample.Resampler.groups SA01" \
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-i "pandas.core.resample.Resampler.indices SA01" \
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-i "pandas.core.resample.Resampler.max PR01,RT03,SA01" \
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-i "pandas.core.resample.Resampler.mean SA01" \

pandas/core/groupby/groupby.py

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@@ -442,10 +442,12 @@ def groups(self) -> dict[Hashable, Index]:
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See Also
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--------
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core.groupby.DataFrameGroupBy.get_group : Get a DataFrame or Series that
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contains the rows belonging to the specified group.
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core.groupby.DataFrameGroupBy.indices : Get a dict with group labels as keys
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and lists of integer indices of rows in each group as values.
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core.groupby.DataFrameGroupBy.get_group : Retrieve group from a
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``DataFrameGroupBy`` object with provided name.
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core.groupby.SeriesGroupBy.get_group : Retrieve group from a
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``SeriesGroupBy`` object with provided name.
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core.resample.Resampler.get_group : Retrieve group from a
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``Resampler`` object with provided name.
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Examples
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--------

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