Simplify BiOrangeBlue definition

ayshih · ayshih · commit 6baabe1cf262 · 2025-12-09T12:28:59.000-05:00
diff --git a/lib/matplotlib/_cm_bivar.py b/lib/matplotlib/_cm_bivar.py
@@ -1,9 +1,8 @@
-# auto-generated by https://github.com/trygvrad/multivariate_colormaps
-# date: 2024-05-24
-
 import numpy as np
 from matplotlib.colors import SegmentedBivarColormap
 
+# auto-generated by https://github.com/trygvrad/multivariate_colormaps
+# date: 2024-05-24
 BiPeak = np.array(
     [0.000, 0.674, 0.931, 0.000, 0.680, 0.922, 0.000, 0.685, 0.914, 0.000,
      0.691, 0.906, 0.000, 0.696, 0.898, 0.000, 0.701, 0.890, 0.000, 0.706,
@@ -1276,32 +1275,9 @@
      ]).reshape((65, 65, 3))
 
 BiOrangeBlue = np.array(
-    [0.000, 0.000, 0.000, 0.000, 0.0625, 0.125, 0.000, 0.125, 0.250, 0.000,
-     0.1875, 0.375, 0.000, 0.250, 0.500, 0.000, 0.3125, 0.625, 0.000, 0.375,
-     0.750, 0.000, 0.4375, 0.875, 0.000, 0.500, 1.000, 0.125, 0.0625, 0.000,
-     0.125, 0.125, 0.125, 0.125, 0.1875, 0.250, 0.125, 0.250, 0.375, 0.125,
-     0.3125, 0.500, 0.125, 0.375, 0.625, 0.125, 0.4375, 0.750, 0.125, 0.500,
-     0.875, 0.125, 0.5625, 1.000, 0.250, 0.125, 0.000, 0.250, 0.1875, 0.125,
-     0.250, 0.250, 0.250, 0.250, 0.3125, 0.375, 0.250, 0.375, 0.500, 0.250,
-     0.4375, 0.625, 0.250, 0.500, 0.750, 0.250, 0.5625, 0.875, 0.250, 0.625,
-     1.000, 0.375, 0.1875, 0.000, 0.375, 0.250, 0.125, 0.375, 0.3125, 0.250,
-     0.375, 0.375, 0.375, 0.375, 0.4375, 0.500, 0.375, 0.500, 0.625, 0.375,
-     0.5625, 0.750, 0.375, 0.625, 0.875, 0.375, 0.6875, 1.000, 0.500, 0.250,
-     0.000, 0.500, 0.3125, 0.125, 0.500, 0.375, 0.250, 0.500, 0.4375, 0.375,
-     0.500, 0.500, 0.500, 0.500, 0.5625, 0.625, 0.500, 0.625, 0.750, 0.500,
-     0.6875, 0.875, 0.500, 0.750, 1.000, 0.625, 0.3125, 0.000, 0.625, 0.375,
-     0.125, 0.625, 0.4375, 0.250, 0.625, 0.500, 0.375, 0.625, 0.5625, 0.500,
-     0.625, 0.625, 0.625, 0.625, 0.6875, 0.750, 0.625, 0.750, 0.875, 0.625,
-     0.8125, 1.000, 0.750, 0.375, 0.000, 0.750, 0.4375, 0.125, 0.750, 0.500,
-     0.250, 0.750, 0.5625, 0.375, 0.750, 0.625, 0.500, 0.750, 0.6875, 0.625,
-     0.750, 0.750, 0.750, 0.750, 0.8125, 0.875, 0.750, 0.875, 1.000, 0.875,
-     0.4375, 0.000, 0.875, 0.500, 0.125, 0.875, 0.5625, 0.250, 0.875, 0.625,
-     0.375, 0.875, 0.6875, 0.500, 0.875, 0.750, 0.625, 0.875, 0.8125, 0.750,
-     0.875, 0.875, 0.875, 0.875, 0.9375, 1.000, 1.000, 0.500, 0.000, 1.000,
-     0.5625, 0.125, 1.000, 0.625, 0.250, 1.000, 0.6875, 0.375, 1.000, 0.750,
-     0.500, 1.000, 0.8125, 0.625, 1.000, 0.875, 0.750, 1.000, 0.9375, 0.875,
-     1.000, 1.000, 1.000,
-     ]).reshape((9, 9, 3))
+    [0.0, 0.0, 0.0, 0.0, 0.5, 1.0,
+     1.0, 0.5, 0.0, 1.0, 1.0, 1.0,
+     ]).reshape((2, 2, 3))
 
 cmaps = {
     "BiPeak": SegmentedBivarColormap(
