fix failed cicd

Author: joyahuang

pandas/plotting/_matplotlib/boxplot.py

@@ -212,9 +212,10 @@ def _make_plot(self, fig: Figure) -> None:
 
                     # When `by` is assigned, the ticklabels will become unique grouped
                     # values, instead of label which is used as subtitle in this case.
-                    # error: "Index" has no attribute "levels"; maybe "nlevels"?
-                    levels = self.data.columns.levels  # type: ignore[attr-defined]
-                    ticklabels = [pprint_thing(col) for col in self.data.columns.get_level_values(0)] # 
+                    ticklabels = [
+                        pprint_thing(col)
+                        for col in self.data.columns.get_level_values(0)
+                    ]
                 else:
                     ticklabels = [pprint_thing(label)]
 

pandas/tests/plotting/test_boxplot_method.py

@@ -410,13 +410,18 @@ def test_boxplot_group_no_xlabel_ylabel(self, vert, request):
             assert target_label == pprint_thing(["group"])
 
     @pytest.mark.filterwarnings("ignore:set_ticklabels:UserWarning")
-    def test_boxplot_group_xlabel_ylabel(self, vert):
-        df = DataFrame({'value': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
-                   'label': ['c', 'c', 'c', 'c', 'b', 'b', 'b', 'b', 'a', 'a']})
-        df.label = Categorical(df.label, categories=['c', 'b', 'a'], ordered=True)
+    def test_boxplot_group_ordered_ticklabel(self, vert):
+        df = DataFrame(
+            {
+                "value": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
+                "label": ["c", "c", "c", "c", "b", "b", "b", "b", "a", "a"],
+            }
+        )
+        df.label = Categorical(df.label, categories=["c", "b", "a"], ordered=True)
         ax = df.boxplot(by="label")
         xticklabels = ax.get_xticklabels()
-        assert [x.get_text() for x in xticklabels] == ['c', 'b', 'a']
+        assert [x.get_text() for x in xticklabels] == ["c", "b", "a"]
+
 
 class TestDataFrameGroupByPlots:
     def test_boxplot_legacy1(self, hist_df):