matplotlib
diff --git a/‎lib/matplotlib/colors.py
Copy file name to clipboardExpand all lines: lib/matplotlib/colors.py
+2-1Lines changed: 2 additions & 1 deletion b/‎lib/matplotlib/colors.py
Copy file name to clipboardExpand all lines: lib/matplotlib/colors.py
+2-1Lines changed: 2 additions & 1 deletion
diff --git a/‎lib/matplotlib/tests/test_colors.py
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+21Lines changed: 21 additions & 0 deletions b/‎lib/matplotlib/tests/test_colors.py
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+21Lines changed: 21 additions & 0 deletions
@@ -852,7 +852,8 @@ def _resample(self, lutsize):
         """
         Return a new color map with *lutsize* entries.
         """
-        return ListedColormap(self.name, self.colors, lutsize)
+        vals = self(np.linspace(0, 1, lutsize))
+        return ListedColormap(vals, name=self.name)
 
 
 class Normalize(object):
 
@@ -17,6 +17,27 @@
 from matplotlib.testing.decorators import (image_comparison,
                                            cleanup, knownfailureif)
 
+def test_resample():
+    """
+    Github issue #6025 pointed to incorrect ListedColormap._resample;
+    here we test the method for LinearSegmentedColormap as well.
+    """
+    n = 101
+    colorlist = np.empty((n, 4), float)
+    colorlist[:, 0] = np.linspace(0, 1, n)
+    colorlist[:, 1] = 0.2
+    colorlist[:, 2] = np.linspace(1, 0, n)
+    colorlist[:, 3] = 0.7
+    lsc = mcolors.LinearSegmentedColormap.from_list('lsc', colorlist)
+    lc = mcolors.ListedColormap(colorlist)
+    lsc3 = lsc._resample(3)
+    lc3 = lc._resample(3)
+    expected = np.array([[0.0, 0.2, 1.0, 0.7],
+                         [0.5, 0.2, 0.5, 0.7],
+                         [1.0, 0.2, 0.0, 0.7]], float)
+    assert_array_almost_equal(lsc3([0, 0.5, 1]), expected)
+    assert_array_almost_equal(lc3([0, 0.5, 1]), expected)
+
 
 def test_colormap_endian():
     """