默认属性循环中的颜色#

显示来自默认 prop_cycle 的颜色，该颜色是从 rc 参数获得的。

import matplotlib.pyplot as plt
import numpy as np

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

lwbase = plt.rcParams['lines.linewidth']
thin = 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
    else:
        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(f'line widths (pts): {lwx:g}, {lwy:g}',
                           fontsize='medium')

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')

plt.show()

Colors in the default prop_cycle, line widths (pts): 0.75, 1.5, line widths (pts): 1.5, 4.5

参考资料

本示例展示了以下函数、方法、类和模块的使用

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