.. _color-named_colors: color example code: named_colors.py =================================== .. plot:: /home/tcaswell/src/p/matplotlib/doc/mpl_examples/color/named_colors.py :: """ ======================== Visualizing named colors ======================== Simple plot example with the named colors and its visual representation. """ from __future__ import division import matplotlib.pyplot as plt from matplotlib import colors as mcolors colors = dict(mcolors.BASE_COLORS, **mcolors.CSS4_COLORS) # 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] n = len(sorted_names) ncols = 4 nrows = n // ncols + 1 fig, ax = plt.subplots(figsize=(8, 5)) # Get height and width X, Y = fig.get_dpi() * fig.get_size_inches() h = Y / (nrows + 1) w = X / ncols for i, name in enumerate(sorted_names): col = i % ncols row = i // ncols y = Y - (row * h) - h xi_line = w * (col + 0.05) xf_line = w * (col + 0.25) xi_text = w * (col + 0.3) ax.text(xi_text, y, name, fontsize=(h * 0.8), horizontalalignment='left', verticalalignment='center') ax.hlines(y + h * 0.1, xi_line, xf_line, color=colors[name], linewidth=(h * 0.6)) ax.set_xlim(0, X) ax.set_ylim(0, Y) ax.set_axis_off() fig.subplots_adjust(left=0, right=1, top=1, bottom=0, hspace=0, wspace=0) plt.show() Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)