BUG: Matplotlib scatter datetime (#22039)

pandas-dev · Aug 2, 2018 · 115724a · 115724a
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diff --git a/doc/source/whatsnew/v0.24.0.txt b/doc/source/whatsnew/v0.24.0.txt
@@ -629,8 +629,8 @@ I/O
 Plotting
 ^^^^^^^^
 
-- Bug in :func:'DataFrame.plot.scatter' and :func:'DataFrame.plot.hexbin' caused x-axis label and ticklabels to disappear when colorbar was on in IPython inline backend (:issue:`10611`, :issue:`10678`, and :issue:`20455`)
--
+- Bug in :func:`DataFrame.plot.scatter` and :func:`DataFrame.plot.hexbin` caused x-axis label and ticklabels to disappear when colorbar was on in IPython inline backend (:issue:`10611`, :issue:`10678`, and :issue:`20455`)
+- Bug in plotting a Series with datetimes using :func:`matplotlib.axes.Axes.scatter` (:issue:`22039`)
 
 Groupby/Resample/Rolling
 ^^^^^^^^^^^^^^^^^^^^^^^^

diff --git a/pandas/plotting/_converter.py b/pandas/plotting/_converter.py
@@ -320,7 +320,11 @@ def try_parse(values):
             return values
         elif isinstance(values, compat.string_types):
             return try_parse(values)
-        elif isinstance(values, (list, tuple, np.ndarray, Index)):
+        elif isinstance(values, (list, tuple, np.ndarray, Index, ABCSeries)):
+            if isinstance(values, ABCSeries):
+                # https://github.com/matplotlib/matplotlib/issues/11391
+                # Series was skipped. Convert to DatetimeIndex to get asi8
+                values = Index(values)
             if isinstance(values, Index):
                 values = values.values
             if not isinstance(values, np.ndarray):

diff --git a/pandas/tests/plotting/test_datetimelike.py b/pandas/tests/plotting/test_datetimelike.py
@@ -1483,6 +1483,17 @@ def test_add_matplotlib_datetime64(self):
         l1, l2 = ax.lines
         tm.assert_numpy_array_equal(l1.get_xydata(), l2.get_xydata())
 
+    def test_matplotlib_scatter_datetime64(self):
+        # https://github.com/matplotlib/matplotlib/issues/11391
+        df = DataFrame(np.random.RandomState(0).rand(10, 2),
+                       columns=["x", "y"])
+        df["time"] = date_range("2018-01-01", periods=10, freq="D")
+        fig, ax = self.plt.subplots()
+        ax.scatter(x="time", y="y", data=df)
+        fig.canvas.draw()
+        label = ax.get_xticklabels()[0]
+        assert label.get_text() == '2017-12-12'
+
 
 def _check_plot_works(f, freq=None, series=None, *args, **kwargs):
     import matplotlib.pyplot as plt