DOC: Fix ES01 for pandas.api.typing.Resampler

ci/code_checks.sh

@@ -250,22 +250,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.read_sas ES01" \
         -i "pandas.read_spss ES01" \
         -i "pandas.read_stata ES01" \
-        -i "pandas.api.typing.Resampler.get_group ES01" \
-        -i "pandas.api.typing.Resampler.apply ES01" \
-        -i "pandas.api.typing.Resampler.aggregate ES01" \
-        -i "pandas.api.typing.Resampler.asfreq ES01" \
-        -i "pandas.api.typing.Resampler.count ES01" \
-        -i "pandas.api.typing.Resampler.nunique ES01" \
-        -i "pandas.api.typing.Resampler.first ES01" \
-        -i "pandas.api.typing.Resampler.last ES01" \
-        -i "pandas.api.typing.Resampler.max ES01" \
-        -i "pandas.api.typing.Resampler.mean ES01" \
-        -i "pandas.api.typing.Resampler.min ES01" \
-        -i "pandas.api.typing.Resampler.ohlc ES01" \
-        -i "pandas.api.typing.Resampler.prod ES01" \
-        -i "pandas.api.typing.Resampler.size ES01" \
-        -i "pandas.api.typing.Resampler.std ES01" \
-        -i "pandas.api.typing.Resampler.var ES01" \
         -i "pandas.plotting.parallel_coordinates ES01" \
         -i "pandas.bdate_range ES01" \
         -i "pandas.timedelta_range ES01" \
@@ -411,8 +395,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.api.indexers.BaseIndexer ES01" \
         -i "pandas.api.indexers.FixedForwardWindowIndexer ES01" \
         -i "pandas.api.indexers.VariableOffsetWindowIndexer ES01" \
-        -i "pandas.api.typing.DataFrameGroupBy.get_group ES01" \
-        -i "pandas.api.typing.SeriesGroupBy.get_group ES01" \
         -i "pandas.NamedAgg ES01" \
         -i "pandas.api.typing.DataFrameGroupBy.all ES01" \
         -i "pandas.api.typing.DataFrameGroupBy.any ES01" \

pandas/core/groupby/groupby.py

@@ -799,6 +799,9 @@ def get_group(self, name) -> DataFrame | Series:
         """
         Construct DataFrame from group with provided name.
 
+        This method retrieves all rows belonging to a specific group identified
+        by the given name.
+
         Parameters
         ----------
         name : object

pandas/core/resample.py

@@ -347,6 +347,9 @@ def aggregate(self, func=None, *args, **kwargs):
         """
         Aggregate using one or more operations over the specified axis.
 
+        This method applies aggregation functions to resampled groups, enabling
+        summary statistics to be computed for each time period.
+
         Parameters
         ----------
         func : function, str, list or dict
@@ -1058,6 +1061,9 @@ def asfreq(self, fill_value=None):
         """
         Return the values at the new freq, essentially a reindex.
 
+        This method selects data at the specified frequency without aggregation,
+        useful for upsampling to a higher frequency or selecting specific time points.
+
         Parameters
         ----------
         fill_value : scalar, optional
@@ -1165,6 +1171,9 @@ def prod(
         """
         Compute prod of group values.
 
+        This method calculates the product of all values within each resampled
+        time period.
+
         Parameters
         ----------
         numeric_only : bool, default False
@@ -1220,6 +1229,8 @@ def min(
         """
         Compute min value of group.
 
+        This method returns the minimum value within each resampled time period.
+
         Parameters
         ----------
         numeric_only : bool, default False
@@ -1275,6 +1286,8 @@ def max(
         """
         Compute max value of group.
 
+        This method returns the maximum value within each resampled time period.
+
         Parameters
         ----------
         numeric_only : bool, default False
@@ -1331,6 +1344,9 @@ def first(
         """
         Compute the first non-null entry of each column.
 
+        This method returns the first value encountered in each resampled time
+        period, skipping missing values by default.
+
         Parameters
         ----------
         numeric_only : bool, default False
@@ -1384,6 +1400,9 @@ def last(
         """
         Compute the last non-null entry of each column.
 
+        This method returns the last value encountered in each resampled time
+        period, skipping missing values by default.
+
         Parameters
         ----------
         numeric_only : bool, default False
@@ -1485,6 +1504,9 @@ def mean(
         """
         Compute mean of groups, excluding missing values.
 
+        This method calculates the arithmetic mean of values within each
+        resampled time period.
+
         Parameters
         ----------
         numeric_only : bool, default False
@@ -1540,6 +1562,9 @@ def std(
         """
         Compute standard deviation of groups, excluding missing values.
 
+        This method calculates the sample standard deviation of values within
+        each resampled time period.
+
         Parameters
         ----------
         ddof : int, default 1
@@ -1596,6 +1621,9 @@ def var(
         """
         Compute variance of groups, excluding missing values.
 
+        This method calculates the sample variance of values within each
+        resampled time period.
+
         Parameters
         ----------
         ddof : int, default 1
@@ -1710,6 +1738,9 @@ def ohlc(self):
         """
         Compute open, high, low and close values of a group, excluding missing values.
 
+        This method computes OHLC (Open-High-Low-Close) values, commonly used
+        in financial data analysis to summarize price movements within time periods.
+
         Returns
         -------
         DataFrame
@@ -1764,6 +1795,9 @@ def nunique(self):
         """
         Return number of unique elements in the group.
 
+        This method counts the number of distinct values within each resampled
+        time period.
+
         Returns
         -------
         Series
@@ -1799,6 +1833,9 @@ def size(self):
         """
         Compute group sizes.
 
+        This method returns the number of rows in each resampled time period,
+        including rows with missing values.
+
         Returns
         -------
         Series
@@ -1848,6 +1885,9 @@ def count(self):
         """
         Compute count of group, excluding missing values.
 
+        This method returns the number of non-null values in each resampled
+        time period.
+
         Returns
         -------
         Series or DataFrame