diff --git a/doc/source/whatsnew/v1.0.0.rst b/doc/source/whatsnew/v1.0.0.rst
index 58918f2d8c40e..974d14a4b424c 100644
--- a/doc/source/whatsnew/v1.0.0.rst
+++ b/doc/source/whatsnew/v1.0.0.rst
@@ -163,7 +163,7 @@ I/O
 Plotting
 ^^^^^^^^
 
--
+- Bug in :meth:`Series.plot` not able to plot boolean values (:issue:`23719`)
 -
 
 Groupby/resample/rolling
diff --git a/pandas/plotting/_core.py b/pandas/plotting/_core.py
index a3c1499845c2a..ec5c609c1b267 100644
--- a/pandas/plotting/_core.py
+++ b/pandas/plotting/_core.py
@@ -586,6 +586,8 @@ class PlotAccessor(PandasObject):
     mark_right : bool, default True
         When using a secondary_y axis, automatically mark the column
         labels with "(right)" in the legend
+    include_bool : bool, default is False
+        If True, boolean values can be plotted
     `**kwds` : keywords
         Options to pass to matplotlib plotting method
 
diff --git a/pandas/plotting/_matplotlib/core.py b/pandas/plotting/_matplotlib/core.py
index c2b37bb297ecb..50f0d16631a15 100644
--- a/pandas/plotting/_matplotlib/core.py
+++ b/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
diff --git a/pandas/tests/plotting/test_series.py b/pandas/tests/plotting/test_series.py
index 8b4a78e9195b5..111c3a70fc09c 100644
--- a/pandas/tests/plotting/test_series.py
+++ b/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)