.. _color-named_colors: color example code: named_colors.py =================================== .. plot:: /home/tcaswell/other_source/matplotlib/doc/mpl_examples/color/named_colors.py :: """ Visualization of named colors. Simple plot example with the named colors and its visual representation. """ from __future__ import (absolute_import, division, print_function, unicode_literals) import six import numpy as np import matplotlib.pyplot as plt from matplotlib import colors colors_ = list(six.iteritems(colors.cnames)) # Add the single letter colors. for name, rgb in six.iteritems(colors.ColorConverter.colors): hex_ = colors.rgb2hex(rgb) colors_.append((name, hex_)) # Transform to hex color values. hex_ = [color[1] for color in colors_] # Get the rgb equivalent. rgb = [colors.hex2color(color) for color in hex_] # Get the hsv equivalent. hsv = [colors.rgb_to_hsv(color) for color in rgb] # Split the hsv values to sort. hue = [color[0] for color in hsv] sat = [color[1] for color in hsv] val = [color[2] for color in hsv] # Sort by hue, saturation and value. ind = np.lexsort((val, sat, hue)) sorted_colors = [colors_[i] for i in ind] n = len(sorted_colors) ncols = 3 nrows = int(np.ceil(1. * n / ncols)) fig = plt.figure(figsize=(ncols*2.5, nrows*2)) for i, (name, color) in enumerate(sorted_colors): ax = fig.add_subplot(nrows, ncols, i + 1) ax.text(0.55, 0.5, name, fontsize=12, horizontalalignment='left', verticalalignment='center') # Add extra black line a little bit thicker to make # clear colors more visible. ax.hlines(0.5, 0, 0.5, color='black', linewidth=10) ax.hlines(0.5, 0, 0.5, color=color, linewidth=8) ax.set_xlim(0, 1) ax.set_ylim(0, 1) ax.set_axis_off() fig.subplots_adjust(left=0.01, right=0.99, top=0.99, bottom=0.01, hspace=1, wspace=0.1) plt.show() Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)