Copy Coding

"""
========================
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)

    color_name = name + '(' + str(colors[name]) +')'
    if col == 3:
        print("{:35}".format( color_name ), end='\n')
    else:
        print("{:35}".format( color_name ), end = "")
    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()