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# Styling with cycler

Demo of custom property-cycle settings to control colors and other style properties for multi-line plots.

This example demonstrates two different APIs:

> 1. Setting the default rc parameter specifying the property cycle. This affects all subsequent axes (but not axes already created).
> 2. Setting the property cycle for a single pair of axes.

    from cycler import cycler
    import numpy as np
    import matplotlib.pyplot as plt

    x = np.linspace(0, 2 * np.pi)
    offsets = np.linspace(0, 2*np.pi, 4, endpoint=False)
    # Create array with shifted-sine curve along each column
    yy = np.transpose([np.sin(x + phi) for phi in offsets])

    # 1. Setting prop cycle on default rc parameter
    plt.rc('lines', linewidth=4)
    plt.rc('axes', prop_cycle=(cycler('color', ['r', 'g', 'b', 'y']) +
                               cycler('linestyle', ['-', '--', ':', '-.'])))
    fig, (ax0, ax1) = plt.subplots(nrows=2)
    ax0.plot(yy)
    ax0.set_title('Set default color cycle to rgby')

    # 2. Define prop cycle for single set of axes
    ax1.set_prop_cycle(cycler('color', ['c', 'm', 'y', 'k']) +
                       cycler('lw', [1, 2, 3, 4]))
    ax1.plot(yy)
    ax1.set_title('Set axes color cycle to cmyk')

    # Tweak spacing between subplots to prevent labels from overlapping
    fig.subplots_adjust(hspace=0.3)
    plt.show()

Total running time of the script: ( 0 minutes 0.072 seconds)

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