[WIP] DOC Fixes #8447 fixed issues and shortened the number of examples for return_type

Author: mabelvj

pandas/plotting/_core.py

@@ -2005,7 +2005,7 @@ def plot_series(data, kind='line', ax=None,                    # Series unique
     ax : object of class matplotlib.axes.Axes, optional
         The matplotlib axes to be used by boxplot.
     fontsize : float or str
-        Tick label font size in points or as a string (e.g., ‘large’).
+        Tick label font size in points or as a string (e.g., `large`).
     rot : int or float, default 0
         The rotation angle of labels (in degrees)
         with respect to the screen coordinate sytem.
@@ -2111,59 +2111,16 @@ def plot_series(data, kind='line', ax=None,                    # Series unique
 
         >>> boxplot = df.boxplot(grid=False, rot=45, fontsize=15)
 
-
     The parameter ``return_type`` can be used to select the type of element
     returned by `boxplot`.  When ``return_type='axes'`` is selected,
     the matplotlib axes on which the boxplot is drawn are returned:
 
         >>> df.boxplot(column=['Col1','Col2'], return_type='axes')
         <matplotlib.axes._subplots.AxesSubplot object at ...>
 
-    If selecting ``return_type='dict'`` a dictionary containing the
-    lines is returned:
-
-        >>> df.boxplot(column=['Col1','Col2'], return_type='dict')
-            {'boxes': [<matplotlib.lines.Line2D at ...>,
-              <matplotlib.lines.Line2D at ...>],
-             'caps': [<matplotlib.lines.Line2D at ...>,
-              <matplotlib.lines.Line2D at ...>,
-              <matplotlib.lines.Line2D at ...>,
-              <matplotlib.lines.Line2D at ...>],
-             'fliers': [<matplotlib.lines.Line2D at ...>,
-              <matplotlib.lines.Line2D at ...>],
-             'means': [],
-             'medians': [<matplotlib.lines.Line2D at ...>,
-              <matplotlib.lines.Line2D at ...>],
-             'whiskers': [<matplotlib.lines.Line2D at ...>,
-              <matplotlib.lines.Line2D at ...>,
-              <matplotlib.lines.Line2D at ...>,
-              <matplotlib.lines.Line2D at ...>]}
-
-    If selecting ``return_type='both'``, a namedtuple with matplotlib axes and
-    Line objets is returned:
-
-        >>> df.boxplot(column=['Col1','Col2'], return_type='both')
-            Boxplot(ax=<matplotlib.axes._subplots.AxesSubplot object
-            at 0x115821128>, lines={'whiskers':
-            [<matplotlib.lines.Line2D object at ...>,
-            <matplotlib.lines.Line2D object at ...>,
-            <matplotlib.lines.Line2D object at ...>,
-            <matplotlib.lines.Line2D object at ...>],
-            'caps': [<matplotlib.lines.Line2D object at ...>,
-            <matplotlib.lines.Line2D object at ...>,
-            <matplotlib.lines.Line2D object at ...>,
-            <matplotlib.lines.Line2D object at ...>],
-            'boxes': [<matplotlib.lines.Line2D object at ...>,
-            <matplotlib.lines.Line2D object at ...>],
-            'medians': [<matplotlib.lines.Line2D object at ...>,
-            <matplotlib.lines.Line2D object at ...>],
-            'fliers': [<matplotlib.lines.Line2D object at ...>,
-            <matplotlib.lines.Line2D object at ...>], 'means': []})
-
     When grouping with ``by``, a Series mapping columns to ``return_type``
     is returned:
 
-
         >>> df.boxplot(column=['Col1','Col2'], by='X', return_type='axes')
             Col1         AxesSubplot(0.1,0.15;0.363636x0.75)
             Col2    AxesSubplot(0.536364,0.15;0.363636x0.75)
@@ -2176,9 +2133,9 @@ def plot_series(data, kind='line', ax=None,                    # Series unique
             array([<matplotlib.axes._subplots.AxesSubplot object at ...>,
                    <matplotlib.axes._subplots.AxesSubplot object at ...>],
                    dtype=object)
-
     """
 
+
 @Appender(_shared_docs['boxplot'] % _shared_doc_kwargs)
 def boxplot(data, column=None, by=None, ax=None, fontsize=None,
             rot=0, grid=True, figsize=None, layout=None, return_type=None,