BUG: Allow plotting boolean values

pandas/plotting/_matplotlib/core.py

@@ -106,6 +106,7 @@ def __init__(
         colormap=None,
         table=False,
         layout=None,
+        include_bool=False,
         **kwds
     ):
 
@@ -191,6 +192,7 @@ def __init__(
             self.colormap = colormap
 
         self.table = table
+        self.include_bool = include_bool
 
         self.kwds = kwds
 
@@ -400,9 +402,12 @@ def _compute_plot_data(self):
         # GH16953, _convert is needed as fallback, for ``Series``
         # with ``dtype == object``
         data = data._convert(datetime=True, timedelta=True)
-        numeric_data = data.select_dtypes(
-            include=[np.number, "datetime", "datetimetz", "timedelta"]
-        )
+        select_include_type = [np.number, "datetime", "datetimetz", "timedelta"]
+
+        # GH23719, allow plotting boolean
+        if self.include_bool is True:
+            select_include_type.append(np.bool_)
+        numeric_data = data.select_dtypes(include=select_include_type)
 
         try:
             is_empty = numeric_data.empty

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)