diff --git a/doc/users/next_whats_new/solarized_palette.rst b/doc/users/next_whats_new/solarized_palette.rst
new file mode 100644
index 000000000000..282f2b1bca91
--- /dev/null
+++ b/doc/users/next_whats_new/solarized_palette.rst
@@ -0,0 +1,6 @@
+Solarized palette are now named matplotlib colors
+-------------------------------------------------
+Ethan Schoonover's `Solarized palette `_;.
For more information on colors in matplotlib see
diff --git a/examples/color/named_colors.py b/examples/color/named_colors.py
index 5a16c2d813f1..bcfbcd7982ad 100644
--- a/examples/color/named_colors.py
+++ b/examples/color/named_colors.py
@@ -11,53 +11,77 @@
* the `matplotlib.colors` API;
* the :doc:`/gallery/color/color_demo`.
"""
-
-import matplotlib.pyplot as plt
from matplotlib import colors as mcolors
-colors = dict(mcolors.BASE_COLORS, **mcolors.CSS4_COLORS)
+# First, we define a custom plotting function that accepts a dictionary
+# from one of matplotlib's named color palettes.
+def plot_colors(colors, title, sort_colors=True, ncols=4):
+
+ import matplotlib.pyplot as plt
+ from matplotlib.colors import rgb_to_hsv, to_rgba
+
+ extra_rows = 2 # Additional space for title.
+ cell_width = 225
+ cell_height = 30
+ swatch_width = 50
+
+ # Sort colors by hue, saturation, value and name.
+ by_hsv = ((tuple(rgb_to_hsv(to_rgba(color)[:3])), name)
+ for name, color in colors.items())
+ if sort_colors is True:
+ by_hsv = sorted(by_hsv)
+ names = [name for hsv, name in by_hsv]
+
+ n = len(names)
+ nrows = (n + 1) // ncols
+
+ width = cell_width * ncols
+ height = cell_height * (nrows + extra_rows)
+ dpi = 72
+ fig, ax = plt.subplots(figsize=(width / dpi, height / dpi), dpi=dpi)
-# Sort colors by hue, saturation, value and name.
-by_hsv = sorted((tuple(mcolors.rgb_to_hsv(mcolors.to_rgba(color)[:3])), name)
- for name, color in colors.items())
-sorted_names = [name for hsv, name in by_hsv]
+ ax.set_xlim(0, width)
+ ax.set_ylim(height, 0)
+ ax.yaxis.set_visible(False)
+ ax.xaxis.set_visible(False)
+ ax.set_axis_off()
+ ax.text(0, cell_height, title, fontsize=20)
-n = len(sorted_names)
-ncols = 4
-nrows = n // ncols
+ for i, name in enumerate(names):
+ row = i % nrows
+ col = i // nrows
+ y = (row + extra_rows) * cell_height
-fig, ax = plt.subplots(figsize=(9, 8))
+ swatch_start_x = cell_width * col
+ swatch_end_x = cell_width * col + swatch_width
+ text_pos_x = cell_width * col + swatch_width + 5
-# Get height and width
-X, Y = fig.get_dpi() * fig.get_size_inches()
-h = Y / (nrows + 1)
-w = X / ncols
+ ax.text(text_pos_x, y, name, fontsize=14,
+ horizontalalignment='left',
+ verticalalignment='center')
-for i, name in enumerate(sorted_names):
- row = i % nrows
- col = i // nrows
- y = Y - (row * h) - h
+ ax.hlines(y, swatch_start_x, swatch_end_x,
+ color=colors[name], linewidth=20)
- xi_line = w * (col + 0.05)
- xf_line = w * (col + 0.25)
- xi_text = w * (col + 0.3)
+ plt.show()
- ax.text(xi_text, y, name, fontsize=(h * 0.5),
- horizontalalignment='left',
- verticalalignment='center')
+# Display the 8 base colors in matplotlib.
+plot_colors(mcolors.BASE_COLORS, "Base Colors", sort_colors=False,
+ ncols=3)
- ax.hlines(y + h * 0.1, xi_line, xf_line,
- color=colors[name], linewidth=(h * 0.6))
+# Displays named colors as defined by the CSS specification.
+# For more on CSS colors, see https://www.w3.org/TR/css-color-4/
+plot_colors(mcolors.CSS4_COLORS, "CSS Colors")
-ax.set_xlim(0, X)
-ax.set_ylim(0, Y)
-ax.set_axis_off()
+# The Solarized palette is a 16-color palette designed for screen use.
+# For more information, see https://ethanschoonover.com/solarized/
+plot_colors(mcolors.SOLARIZED_COLORS, "Solarized Palette",
+ sort_colors=False)
-fig.subplots_adjust(left=0, right=1,
- top=1, bottom=0,
- hspace=0, wspace=0)
-plt.show()
+# This displays the classic 10-color default palette in Tableau.
+plot_colors(mcolors.TABLEAU_COLORS, "Tableau Palette", sort_colors=False,
+ ncols=2)
#############################################################################
#
@@ -73,7 +97,5 @@
matplotlib.colors
matplotlib.colors.rgb_to_hsv
matplotlib.colors.to_rgba
-matplotlib.figure.Figure.get_size_inches
-matplotlib.figure.Figure.subplots_adjust
matplotlib.axes.Axes.text
matplotlib.axes.Axes.hlines
diff --git a/lib/matplotlib/_color_data.py b/lib/matplotlib/_color_data.py
index 973f4a2f2435..5a50ca71e578 100644
--- 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
index 82969ed18cb7..ad35a2c130d9 100644
--- a/lib/matplotlib/colors.py
+++ b/lib/matplotlib/colors.py
@@ -36,6 +36,12 @@
'tab:red', 'tab:purple', 'tab:brown', 'tab:pink',
'tab:gray', 'tab:olive', 'tab:cyan'}`` which are the Tableau Colors from the
'T10' categorical palette (which is the default color cycle);
+* one of ``{'solarized:base03', 'solarized:base02', 'solarized:base01',
+ 'solarized:base00', 'solarized:base0', 'solarized:base1', 'solarized:base2',
+ 'solarized:base3', 'solarized:yellow', 'solarized:orange', 'solarized:red',
+ 'solarized:magenta', 'solarized:violet', 'solarized:blue', 'solarized:cyan',
+ 'solarized:green'}`` which are the colors from Ethan Schoonover's
+ `Solarized palette `_;.
* a "CN" color spec, i.e. `'C'` followed by a single digit, which is an index
into the default property cycle (``matplotlib.rcParams['axes.prop_cycle']``);
the indexing occurs at artist creation time and defaults to black if the
@@ -50,7 +56,8 @@
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 +76,7 @@ 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()
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