matplotlib · josesho · Aug 24, 2018 · Aug 24, 2018 · Aug 24, 2018 · Aug 24, 2018
diff --git a/doc/users/whats_new.rst b/doc/users/whats_new.rst
@@ -86,6 +86,13 @@ wrap around, they are a good choice for cyclic data such as phase
 angles, compass directions, or time of day. Like *viridis*, *twilight* is
 perceptually uniform and colorblind friendly.
 
+Add Solarized palette to named matplotlib colors
+-------------------------------------------------
+Ethan Schoonover's `Solarized palette <https://ethanschoonover.com/solarized/__`
+is now implemented as named matplotlib colors. Comprising of 16 colors, the
+colors can be accesseed by appending 'solarized-' to their name, e.g.
+`solarized-cyan` refers to cyan from the Solarized palette.
+
 
 Don't automatically rename duplicate file names
 -----------------------------------------------

diff --git a/examples/color/named_colors.py b/examples/color/named_colors.py
@@ -16,7 +16,8 @@
 from matplotlib import colors as mcolors
 
 
-colors = dict(mcolors.BASE_COLORS, **mcolors.CSS4_COLORS)
+colors = dict(mcolors.BASE_COLORS, **mcolors.CSS4_COLORS,
+                **mcolors.SOLARIZED_COLORS)
 
 # Sort colors by hue, saturation, value and name.
 by_hsv = sorted((tuple(mcolors.rgb_to_hsv(mcolors.to_rgba(color)[:3])), name)

diff --git a/lib/matplotlib/_color_data.py b/lib/matplotlib/_color_data.py
@@ -1142,3 +1142,26 @@
     'whitesmoke':           '#F5F5F5',
     'yellow':               '#FFFF00',
     'yellowgreen':          '#9ACD32'}
+
+# These are the 16 colors of the Solarized palette by Ethan Schoonover.
+# See https://ethanschoonover.com/solarized/
+# License: https://github.com/altercation/solarized/blob/master/LICENSE
+# Copyright (c) 2011 Ethan Schoonover
+SOLARIZED_COLORS = {
+    'solarized-base03':              '#002b36',
+    'solarized-base02':              '#073642',
+    'solarized-base01':              '#586e75',
+    'solarized-base00':              '#657b83',
+    'solarized-base0':               '#839496',
+    'solarized-base1':               '#93a1a1',
+    'solarized-base2':               '#eee8d5',
+    'solarized-base3':               '#fdf6e3',
+    'solarized-yellow':              '#b58900',
+    'solarized-orange':              '#cb4b16',
+    'solarized-red':                 '#dc322f',
+    'solarized-magenta':             '#d33682',
+    'solarized-violet':              '#6c71c4',
+    'solarized-blue':                '#268bd2',
+    'solarized-cyan':                '#2aa198',
+    'solarized-green':               '#859900',
+}
diff --git a/lib/matplotlib/colors.py b/lib/matplotlib/colors.py
@@ -50,7 +50,8 @@
 
 import numpy as np
 import matplotlib.cbook as cbook
-from ._color_data import BASE_COLORS, TABLEAU_COLORS, CSS4_COLORS, XKCD_COLORS
+from ._color_data import BASE_COLORS, TABLEAU_COLORS, CSS4_COLORS, \
+                         XKCD_COLORS, SOLARIZED_COLORS
 
 
 class _ColorMapping(dict):
@@ -69,6 +70,7 @@ def __delitem__(self, key):
 
 _colors_full_map = {}
 # Set by reverse priority order.
+_colors_full_map.update(SOLARIZED_COLORS)
 _colors_full_map.update(XKCD_COLORS)
 _colors_full_map.update({k.replace('grey', 'gray'): v
                          for k, v in XKCD_COLORS.items()