.. _color-named_colors:

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



.. plot:: /build/matplotlib-2.0.0+dfsg1/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 as mcolors
    
    
    colors = dict(mcolors.BASE_COLORS, **mcolors.CSS4_COLORS)
    
    # Sort 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())
    
    # Get the sorted color names.
    sorted_names = [name for hsv, name in by_hsv]
    
    n = len(sorted_names)
    ncols = 4
    nrows = int(np.ceil(1. * n / ncols))
    
    fig, ax = plt.subplots(figsize=(8, 5))
    
    X, Y = fig.get_dpi() * fig.get_size_inches()
    
    # row height
    h = Y / (nrows + 1)
    # col width
    w = X / ncols
    
    for i, name in enumerate(sorted_names):
        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')
    
        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`)