ENH GH11978 access pd.plotting._misc from plot accessor (pandas-dev#2…

…3811)

doc/source/whatsnew/v0.24.0.rst

@@ -371,6 +371,7 @@ Other Enhancements
 - :meth:`MultiIndex.to_flat_index` has been added to flatten multiple levels into a single-level :class:`Index` object.
 - :meth:`DataFrame.to_stata` and :class:`pandas.io.stata.StataWriter117` can write mixed sting columns to Stata strl format (:issue:`23633`)
 - :meth:`DataFrame.between_time` and :meth:`DataFrame.at_time` have gained the an ``axis`` parameter (:issue:`8839`)
+- The ``scatter_matrix``, ``andrews_curves``, ``parallel_coordinates``, ``lag_plot``, ``autocorrelation_plot``, ``bootstrap_plot``, and ``radviz`` plots from the ``pandas.plotting`` module are now accessible from calling :meth:`DataFrame.plot` (:issue:`11978`)
 - :class:`IntervalIndex` has gained the :attr:`~IntervalIndex.is_overlapping` attribute to indicate if the ``IntervalIndex`` contains any overlapping intervals (:issue:`23309`)
 
 .. _whatsnew_0240.api_breaking:

pandas/plotting/_core.py

@@ -26,6 +26,7 @@
 from pandas.core.generic import _shared_doc_kwargs, _shared_docs
 
 from pandas.io.formats.printing import pprint_thing
+from pandas.plotting import _misc as misc
 from pandas.plotting._compat import _mpl_ge_3_0_0
 from pandas.plotting._style import _get_standard_colors, plot_params
 from pandas.plotting._tools import (
@@ -2905,6 +2906,15 @@ def pie(self, **kwds):
         """
         return self(kind='pie', **kwds)
 
+    def lag(self, *args, **kwds):
+        return misc.lag_plot(self._parent, *args, **kwds)
+
+    def autocorrelation(self, *args, **kwds):
+        return misc.autocorrelation_plot(self._parent, *args, **kwds)
+
+    def bootstrap(self, *args, **kwds):
+        return misc.bootstrap_plot(self._parent, *args, **kwds)
+
 
 class FramePlotMethods(BasePlotMethods):
     """DataFrame plotting accessor and method
@@ -3600,3 +3610,16 @@ def hexbin(self, x, y, C=None, reduce_C_function=None, gridsize=None,
         if gridsize is not None:
             kwds['gridsize'] = gridsize
         return self(kind='hexbin', x=x, y=y, C=C, **kwds)
+
+    def scatter_matrix(self, *args, **kwds):
+        return misc.scatter_matrix(self._parent, *args, **kwds)
+
+    def andrews_curves(self, class_column, *args, **kwds):
+        return misc.andrews_curves(self._parent, class_column, *args, **kwds)
+
+    def parallel_coordinates(self, class_column, *args, **kwds):
+        return misc.parallel_coordinates(self._parent, class_column,
+                                         *args, **kwds)
+
+    def radviz(self, class_column, *args, **kwds):
+        return misc.radviz(self._parent, class_column, *args, **kwds)

pandas/tests/plotting/test_frame.py

@@ -2988,6 +2988,22 @@ def test_secondary_axis_font_size(self, method):
         self._check_ticks_props(axes=ax.right_ax,
                                 ylabelsize=fontsize)
 
+    def test_misc_bindings(self, mock):
+        df = pd.DataFrame(randn(10, 10), columns=list('abcdefghij'))
+        p1 = mock.patch('pandas.plotting._misc.scatter_matrix',
+                        return_value=2)
+        p2 = mock.patch('pandas.plotting._misc.andrews_curves',
+                        return_value=2)
+        p3 = mock.patch('pandas.plotting._misc.parallel_coordinates',
+                        return_value=2)
+        p4 = mock.patch('pandas.plotting._misc.radviz',
+                        return_value=2)
+        with p1, p2, p3, p4:
+            assert df.plot.scatter_matrix() == 2
+            assert df.plot.andrews_curves('a') == 2
+            assert df.plot.parallel_coordinates('a') == 2
+            assert df.plot.radviz('a') == 2
+
 
 def _generate_4_axes_via_gridspec():
     import matplotlib.pyplot as plt

pandas/tests/plotting/test_series.py

@@ -877,3 +877,16 @@ def test_custom_business_day_freq(self):
             freq=CustomBusinessDay(holidays=['2014-05-26'])))
 
         _check_plot_works(s.plot)
+
+    def test_misc_bindings(self, mock):
+        s = Series(randn(10))
+        p1 = mock.patch('pandas.plotting._misc.lag_plot',
+                        return_value=2)
+        p2 = mock.patch('pandas.plotting._misc.autocorrelation_plot',
+                        return_value=2)
+        p3 = mock.patch('pandas.plotting._misc.bootstrap_plot',
+                        return_value=2)
+        with p1, p2, p3:
+            assert s.plot.lag() == 2
+            assert s.plot.autocorrelation() == 2
+            assert s.plot.bootstrap() == 2