Update generic.py

Author: AnonToky

pandas/core/groupby/generic.py

@@ -1565,6 +1565,14 @@ def corr(
         See Also
         --------
         Series.corr : Equivalent method on ``Series``.
+
+        
+         Examples
+         --------
+         >>> import pandas as pd
+         >>> s = pd.Series([1, 2, 3, 4], index=[0, 0, 1, 1])
+         >>> g = s.groupby([0, 0, 1, 1])
+         >>> g.corr()  # doctest: +SKIP
         """
         result = self._op_via_apply(
             "corr", other=other, method=method, min_periods=min_periods
@@ -1595,6 +1603,13 @@ def cov(
         See Also
         --------
         Series.cov : Equivalent method on ``Series``.
+
+        Examples
+        --------
+        >>> import pandas as pd
+        >>> s = pd.Series([1, 2, 3, 4], index=[0, 0, 1, 1])
+        >>> g = s.groupby([0, 0, 1, 1])
+        >>> g.cov()  # doctest: +SKIP
         """
         result = self._op_via_apply(
             "cov", other=other, min_periods=min_periods, ddof=ddof
@@ -1669,9 +1684,31 @@ def hist(
 
         Parameters
         ----------
-        by, ax, grid, xlabelsize, xrot, ylabelsize, yrot, figsize, bins, backend,
-        legend, **kwargs
-            See :meth:`Series.hist` for full parameter descriptions.
+        by : object, optional
+            Grouping key.
+        ax : matplotlib.axes.Axes, optional
+            Axis to draw the histogram on.
+        grid : bool, default True
+            Show axis grid lines.
+        xlabelsize : int, default None
+            X axis label size.
+        xrot : float, default None
+            Rotation for x ticks.
+        ylabelsize : int, default None
+            Y axis label size.
+        yrot : float, default None
+            Rotation for y ticks.
+        figsize : tuple, optional
+            Figure size in inches.
+        bins : int or sequence, default 10
+            Number of histogram bins or bin edges.
+        backend : str or callable or None, optional
+            Plotting backend to use (e.g. 'matplotlib'). If None, use the default
+            plotting backend.
+        legend : bool, default False
+            Whether to draw the legend.
+        **kwargs
+            Additional keyword arguments passed to :meth:`Series.hist`.
 
         Returns
         -------
@@ -1681,6 +1718,13 @@ def hist(
         See Also
         --------
         Series.hist : Equivalent histogram plotting method on Series.
+
+        Examples
+        --------
+        >>> import pandas as pd
+        >>> df = pd.DataFrame({"val": [1, 2, 2, 3, 3, 3]}, index=[0, 0, 1, 1, 2, 2])
+        >>> g = df["val"].groupby([0, 0, 1, 1, 2, 2])
+        >>> g.hist()  # doctest: +SKIP
         """
         result = self._op_via_apply(
             "hist",