.. _color-named_colors:

color example code: named_colors.py
===================================



.. plot:: /home/travis/build/jenshnielsen/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 = 4
    nrows = int(np.ceil(1. * n / ncols))
    
    fig = plt.figure()
    ax = fig.add_subplot(111)
    
    X, Y = fig.get_dpi() * fig.get_size_inches()
    
    # row height
    h = Y / (nrows + 1)
    # col width
    w = X / ncols
    
    for i, (name, color) in enumerate(sorted_colors):
        col = i % ncols
        row = int(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')
    
    #     Add extra black line a little bit thicker to make
    #     clear colors more visible.
        ax.hlines(y, xi_line, xf_line, color='black', linewidth=(h * 0.7))
        ax.hlines(y + h * 0.1, xi_line, xf_line, color=color, 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`)