>>> """
====================================
Colors in the default property cycle
====================================

Display the colors from the default prop_cycle, which is obtained from the
:doc:`rc parameters</tutorials/introductory/customizing>`.
"""
... 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 = 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): %g, %g' % (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()
... 
... #############################################################################
... #
... # .. admonition:: References
... #
... #    The use of the following functions, methods, classes and modules is shown
... #    in this example:
... #
... #    - `matplotlib.axes.Axes.axhline` / `matplotlib.pyplot.axhline`
... #    - `matplotlib.axes.Axes.axvline` / `matplotlib.pyplot.axvline`
... #    - `matplotlib.axes.Axes.set_facecolor`
... #    - `matplotlib.figure.Figure.suptitle`
...