Remove unnecessary comments in test_groupby_scatter_colors_differ

Author: myenugula

pandas/tests/plotting/test_groupby.py

@@ -1,5 +1,6 @@
 """Test cases for GroupBy.plot"""
 
+import matplotlib.pyplot as plt
 import numpy as np
 import pytest
 
@@ -156,10 +157,6 @@ def test_groupby_hist_series_with_legend_raises(self):
     def test_groupby_scatter_colors_differ(self):
         # GH 59846 - Test that scatter plots use different colors for different groups
         # similar to how line plots do
-        from matplotlib.collections import PathCollection
-        import matplotlib.pyplot as plt
-
-        # Create test data with distinct groups
         df = DataFrame(
             {
                 "x": [1, 2, 3, 4, 5, 6, 7, 8, 9],
@@ -168,36 +165,20 @@ def test_groupby_scatter_colors_differ(self):
             }
         )
 
-        # Set up a figure with both line and scatter plots
         fig, (ax1, ax2) = plt.subplots(1, 2)
-
-        # Plot line chart (known to use different colors for different groups)
         df.groupby("group").plot(x="x", y="y", ax=ax1, kind="line")
-
-        # Plot scatter chart (should also use different colors for different groups)
         df.groupby("group").plot(x="x", y="y", ax=ax2, kind="scatter")
 
-        # Get the colors used in the line plot and scatter plot
         line_colors = [line.get_color() for line in ax1.get_lines()]
+        scatter_colors = [
+            tuple(tuple(fc) for fc in scatter.get_facecolor())
+            for scatter in ax2.collections
+        ]
 
-        # Get scatter colors
-        scatter_colors = []
-        for collection in ax2.collections:
-            if isinstance(collection, PathCollection):  # This is a scatter plot
-                # Get the face colors (might be array of RGBA values)
-                face_colors = collection.get_facecolor()
-                # If multiple points with same color, we get the first one
-                if face_colors.ndim > 1:
-                    scatter_colors.append(tuple(face_colors[0]))
-                else:
-                    scatter_colors.append(tuple(face_colors))
-
-        # Assert that we have the right number of colors (one per group)
         assert len(line_colors) == 3
         assert len(scatter_colors) == 3
 
-        # Assert that the colors are all different
+        assert len(set(line_colors)) == 3
         assert len(set(scatter_colors)) == 3
-        assert len(line_colors) == 3
 
         plt.close(fig)