matplotlib
diff --git a/‎lib/matplotlib/colors.py
Copy file name to clipboardExpand all lines: lib/matplotlib/colors.py
+14-10Lines changed: 14 additions & 10 deletions b/‎lib/matplotlib/colors.py
Copy file name to clipboardExpand all lines: lib/matplotlib/colors.py
+14-10Lines changed: 14 additions & 10 deletions
diff --git a/‎lib/matplotlib/tests/test_colors.py
Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_colors.py
+10Lines changed: 10 additions & 0 deletions b/‎lib/matplotlib/tests/test_colors.py
Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_colors.py
+10Lines changed: 10 additions & 0 deletions
@@ -419,16 +419,20 @@ def makeMappingArray(N, data, gamma=1.0):
     if (np.diff(x) < 0).any():
         raise ValueError("data mapping points must have x in increasing order")
     # begin generation of lookup table
-    x = x * (N - 1)
-    xind = (N - 1) * np.linspace(0, 1, N) ** gamma
-    ind = np.searchsorted(x, xind)[1:-1]
-
-    distance = (xind[1:-1] - x[ind - 1]) / (x[ind] - x[ind - 1])
-    lut = np.concatenate([
-        [y1[0]],
-        distance * (y0[ind] - y1[ind - 1]) + y1[ind - 1],
-        [y0[-1]],
-    ])
+    if N == 1:
+        # convention: use the y = f(x=1) value for a 1-element lookup table
+        lut = np.array(y0[-1])
+    else:
+        x = x * (N - 1)
+        xind = (N - 1) * np.linspace(0, 1, N) ** gamma
+        ind = np.searchsorted(x, xind)[1:-1]
+
+        distance = (xind[1:-1] - x[ind - 1]) / (x[ind] - x[ind - 1])
+        lut = np.concatenate([
+            [y1[0]],
+            distance * (y0[ind] - y1[ind - 1]) + y1[ind - 1],
+            [y0[-1]],
+        ])
     # ensure that the lut is confined to values between 0 and 1 by clipping it
     return np.clip(lut, 0.0, 1.0)
 
 
@@ -16,6 +16,16 @@
 from matplotlib.testing.decorators import image_comparison
 
 
+@pytest.mark.parametrize('N, result', [
+    (5, [1, .6, .2, .1, 0]),
+    (2, [1, 0]),
+    (1, [0]),
+])
+def test_makeMappingArray(N, result):
+    data = [(0.0, 1.0, 1.0), (0.5, 0.2, 0.2), (1.0, 0.0, 0.0)]
+    assert_array_almost_equal(mcolors.makeMappingArray(N, data), result)
+
+
 def test_resample():
     """
     Github issue #6025 pointed to incorrect ListedColormap._resample;