DOC: fix PR02 errors in docstring for pandas.core.groupby.DataFrameGr…

…oupBy.hist (#57304)

* DOC: fix PR02 errors in docstring for pandas.core.groupby.DataFrameGroupBy.hist

* update example for df.groupby().hist()

ci/code_checks.sh

@@ -140,7 +140,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.core.groupby.DataFrameGroupBy.rolling\
         pandas.core.groupby.SeriesGroupBy.nth\
         pandas.core.groupby.SeriesGroupBy.rolling\
-        pandas.core.groupby.DataFrameGroupBy.hist\
         pandas.core.groupby.DataFrameGroupBy.plot\
         pandas.core.groupby.SeriesGroupBy.plot # There should be no backslash in the final line, please keep this comment in the last ignored function
     RET=$(($RET + $?)) ; echo $MSG "DONE"

pandas/core/groupby/generic.py

@@ -2595,7 +2595,6 @@ def cov(
         )
         return result
 
-    @doc(DataFrame.hist.__doc__)
     def hist(
         self,
         column: IndexLabel | None = None,
@@ -2615,6 +2614,92 @@ def hist(
         legend: bool = False,
         **kwargs,
     ):
+        """
+        Make a histogram of the DataFrame's columns.
+
+        A `histogram`_ is a representation of the distribution of data.
+        This function calls :meth:`matplotlib.pyplot.hist`, on each series in
+        the DataFrame, resulting in one histogram per column.
+
+        .. _histogram: https://en.wikipedia.org/wiki/Histogram
+
+        Parameters
+        ----------
+        column : str or sequence, optional
+            If passed, will be used to limit data to a subset of columns.
+        by : object, optional
+            If passed, then used to form histograms for separate groups.
+        grid : bool, default True
+            Whether to show axis grid lines.
+        xlabelsize : int, default None
+            If specified changes the x-axis label size.
+        xrot : float, default None
+            Rotation of x axis labels. For example, a value of 90 displays the
+            x labels rotated 90 degrees clockwise.
+        ylabelsize : int, default None
+            If specified changes the y-axis label size.
+        yrot : float, default None
+            Rotation of y axis labels. For example, a value of 90 displays the
+            y labels rotated 90 degrees clockwise.
+        ax : Matplotlib axes object, default None
+            The axes to plot the histogram on.
+        sharex : bool, default True if ax is None else False
+            In case subplots=True, share x axis and set some x axis labels to
+            invisible; defaults to True if ax is None otherwise False if an ax
+            is passed in.
+            Note that passing in both an ax and sharex=True will alter all x axis
+            labels for all subplots in a figure.
+        sharey : bool, default False
+            In case subplots=True, share y axis and set some y axis labels to
+            invisible.
+        figsize : tuple, optional
+            The size in inches of the figure to create. Uses the value in
+            `matplotlib.rcParams` by default.
+        layout : tuple, optional
+            Tuple of (rows, columns) for the layout of the histograms.
+        bins : int or sequence, default 10
+            Number of histogram bins to be used. If an integer is given, bins + 1
+            bin edges are calculated and returned. If bins is a sequence, gives
+            bin edges, including left edge of first bin and right edge of last
+            bin. In this case, bins is returned unmodified.
+
+        backend : str, default None
+            Backend to use instead of the backend specified in the option
+            ``plotting.backend``. For instance, 'matplotlib'. Alternatively, to
+            specify the ``plotting.backend`` for the whole session, set
+            ``pd.options.plotting.backend``.
+
+        legend : bool, default False
+            Whether to show the legend.
+
+        **kwargs
+            All other plotting keyword arguments to be passed to
+            :meth:`matplotlib.pyplot.hist`.
+
+        Returns
+        -------
+        matplotlib.Axes or numpy.ndarray of them
+
+        See Also
+        --------
+        matplotlib.pyplot.hist : Plot a histogram using matplotlib.
+
+        Examples
+        --------
+        This example draws a histogram based on the length and width of
+        some animals, displayed in three bins
+
+        .. plot::
+            :context: close-figs
+
+            >>> data = {
+            ...     "length": [1.5, 0.5, 1.2, 0.9, 3],
+            ...     "width": [0.7, 0.2, 0.15, 0.2, 1.1],
+            ... }
+            >>> index = ["pig", "rabbit", "duck", "chicken", "horse"]
+            >>> df = pd.DataFrame(data, index=index)
+            >>> hist = df.groupby("length").hist(bins=3)
+        """
         result = self._op_via_apply(
             "hist",
             column=column,