BUG: Allow plotting boolean values

pandas/plotting/_matplotlib/__init__.py

@@ -46,7 +46,7 @@
     register(explicit=False)
 
 
-def plot(data, kind, **kwargs):
+def plot(data, kind, include_bool=False, **kwargs):
     # Importing pyplot at the top of the file (before the converters are
     # registered) causes problems in matplotlib 2 (converters seem to not
     # work)
@@ -59,7 +59,7 @@ def plot(data, kind, **kwargs):
                 ax = plt.gca()
             kwargs["ax"] = getattr(ax, "left_ax", ax)
     plot_obj = PLOT_CLASSES[kind](data, **kwargs)
-    plot_obj.generate()
+    plot_obj.generate(include_bool=include_bool)
     plot_obj.draw()
     return plot_obj.result
 

pandas/plotting/_matplotlib/core.py

@@ -274,9 +274,9 @@ def nseries(self):
     def draw(self):
         self.plt.draw_if_interactive()
 
-    def generate(self):
+    def generate(self, include_bool=False):
         self._args_adjust()
-        self._compute_plot_data()
+        self._compute_plot_data(include_bool=include_bool)
         self._setup_subplots()
         self._make_plot()
         self._add_table()
@@ -388,7 +388,7 @@ def result(self):
             else:
                 return self.axes[0]
 
-    def _compute_plot_data(self):
+    def _compute_plot_data(self, include_bool=False):
         data = self.data
 
         if isinstance(data, ABCSeries):
@@ -400,8 +400,11 @@ def _compute_plot_data(self):
         # GH16953, _convert is needed as fallback, for ``Series``
         # with ``dtype == object``
         data = data._convert(datetime=True, timedelta=True)
+        select_include_type = [np.number, "datetime", "datetimetz", "timedelta"]
+        if include_bool is True:
+            select_include_type.append(np.bool_)
         numeric_data = data.select_dtypes(
-            include=[np.number, "datetime", "datetimetz", "timedelta"]
+            include=select_include_type
         )
 
         try:

pandas/tests/plotting/test_series.py

@@ -167,6 +167,15 @@ def test_label(self):
         ax.legend()  # draw it
         self._check_legend_labels(ax, labels=["LABEL"])
 
+    def test_boolean(self):
+        # GH 23719
+        s = Series([False, False, True])
+        _check_plot_works(s.plot, include_bool=True)
+
+        msg = 'no numeric data to plot'
+        with pytest.raises(TypeError, match=msg):
+            _check_plot_works(s.plot)
+
     def test_line_area_nan_series(self):
         values = [1, 2, np.nan, 3]
         s = Series(values)