make changes minimal

Author: Moritz Schreiber

pandas/tests/plotting/frame/test_frame.py

@@ -831,7 +831,6 @@ def test_plot_bar(self):
         _check_plot_works(df.plot.bar)
 
         df = DataFrame({"a": [0, 1], "b": [1, 0]})
-
         ax = _check_plot_works(df.plot.bar)
         self._check_ticks_props(ax, xrot=90)
 

pandas/tests/plotting/frame/test_frame_color.py

@@ -119,7 +119,7 @@ def test_bar_colors(self):
         tm.close()
 
         custom_colors = "rgcby"
-        ax = df.plot.bar(color="rgcby")
+        ax = df.plot.bar(color=custom_colors)
         self._check_colors(ax.patches[::5], facecolors=custom_colors)
         tm.close()
 
@@ -151,14 +151,14 @@ def test_bar_user_colors(self):
         )
         # This should *only* work when `y` is specified, else
         # we use one color per column
+        ax = df.plot.bar(y="A", color=df["color"])
+        result = [p.get_facecolor() for p in ax.patches]
         expected = [
             (1.0, 0.0, 0.0, 1.0),
             (0.0, 0.0, 1.0, 1.0),
             (0.0, 0.0, 1.0, 1.0),
             (1.0, 0.0, 0.0, 1.0),
         ]
-        ax = df.plot.bar(y="A", color=df["color"])
-        result = [p.get_facecolor() for p in ax.patches]
         assert result == expected
 
     def test_if_scatterplot_colorbar_affects_xaxis_visibility(self):

pandas/tests/plotting/test_series.py

@@ -270,16 +270,14 @@ def test_bar_ignore_index(self):
 
     def test_bar_user_colors(self):
         s = Series([1, 2, 3, 4])
-
+        ax = s.plot.bar(color=["red", "blue", "blue", "red"])
+        result = [p.get_facecolor() for p in ax.patches]
         expected = [
             (1.0, 0.0, 0.0, 1.0),
             (0.0, 0.0, 1.0, 1.0),
             (0.0, 0.0, 1.0, 1.0),
             (1.0, 0.0, 0.0, 1.0),
         ]
-
-        ax = s.plot.bar(color=["red", "blue", "blue", "red"])
-        result = [p.get_facecolor() for p in ax.patches]
         assert result == expected
 
     def test_rotation(self):