BUG: boxplot does not work when data has datetime column

doc/source/whatsnew/v1.0.0.rst

@@ -165,6 +165,7 @@ Plotting
 
 -
 -
+- Bug in :meth:`DataFrame.plot` when ``kind='box'`` and data contains datatime column (:issue:`22799`)
 
 Groupby/resample/rolling
 ^^^^^^^^^^^^^^^^^^^^^^^^

pandas/plotting/_matplotlib/core.py

@@ -400,9 +400,14 @@ 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"]
-        )
+
+        # GH22799, exclude datatime type for boxplot
+        include_type = [np.number, "datetime", "datetimetz", "timedelta"]
+        if self._kind == "box":
+            include_type.remove("datetime")
+
+        # GH22799, skip datetime type data for computation
+        numeric_data = data.select_dtypes(include=include_type)
 
         try:
             is_empty = numeric_data.empty

pandas/tests/plotting/test_boxplot_method.py

@@ -9,7 +9,7 @@
 
 import pandas.util._test_decorators as td
 
-from pandas import DataFrame, MultiIndex, Series
+from pandas import DataFrame, MultiIndex, Series, date_range
 from pandas.tests.plotting.common import TestPlotBase, _check_plot_works
 import pandas.util.testing as tm
 
@@ -160,6 +160,19 @@ def test_fontsize(self):
             df.boxplot("a", fontsize=16), xlabelsize=16, ylabelsize=16
         )
 
+    def test_boxplot_numeric_data(self):
+        # GH 22799
+        df = DataFrame(
+            {
+                "a": date_range("2012-01-01", periods=100),
+                "b": np.random.randn(100),
+                "c": np.random.randn(100) + 2,
+                "d": date_range("2012-01-01", periods=100).astype(str),
+            }
+        )
+        ax = df.plot(kind="box")
+        assert [x.get_text() for x in ax.get_xticklabels()] == ["b", "c"]
+
 
 @td.skip_if_no_mpl
 class TestDataFrameGroupByPlots(TestPlotBase):