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# 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
        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('line widths (pts): %.1f, %.1f' % (lwx, lwy),
                               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()

Total running time of the script: ( 0 minutes 0.325 seconds)

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