You are reading an old version of the documentation (v2.0.0). For the latest version see


This Page

color example code: color_cycle_default.pyΒΆ

(Source code, png, pdf)

Colors in the default property cycle

Display the colors from the default prop_cycle.
import numpy as np
import matplotlib.pyplot as plt

prop_cycle = plt.rcParams['axes.prop_cycle']
colors = prop_cycle.by_key()['color']

lwbase = plt.rcParams['lines.linewidth']
thin = float('%.1f' % (lwbase / 2))
thick = lwbase * 3

fig, axs = plt.subplots(nrows=2, ncols=2, sharex=True, sharey=True)
for icol in range(2):
    if icol == 0:
        lwx, lwy = thin, lwbase
        lwx, lwy = lwbase, thick
    for irow in range(2):
        for i, color in enumerate(colors):
            axs[irow, icol].axhline(i, color=color, lw=lwx)
            axs[irow, icol].axvline(i, color=color, lw=lwy)

    axs[1, icol].set_facecolor('k')
    axs[1, icol].xaxis.set_ticks(np.arange(0, 10, 2))
    axs[0, icol].set_title('line widths (pts): %.1f, %.1f' % (lwx, lwy),

for irow in range(2):
    axs[irow, 0].yaxis.set_ticks(np.arange(0, 10, 2))

fig.suptitle('Colors in the default prop_cycle', fontsize='large')

Keywords: python, matplotlib, pylab, example, codex (see Search examples)