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# Tick formatting using the ScalarFromatter

The example shows use of ScalarFormatter with different settings.

Example 1 : Default

Example 2 : With no Numerical Offset

Example 3 : With Mathtext

    import matplotlib.pyplot as plt
    import numpy as np
    from matplotlib.ticker import ScalarFormatter

    # Example 1
    x = np.arange(0, 1, .01)
    fig, [[ax1, ax2], [ax3, ax4]] = plt.subplots(2, 2, figsize=(6, 6))
    fig.text(0.5, 0.975, 'The new formatter, default settings',
             horizontalalignment='center',
             verticalalignment='top')

    ax1.plot(x * 1e5 + 1e10, x * 1e-10 + 1e-5)
    ax1.xaxis.set_major_formatter(ScalarFormatter())
    ax1.yaxis.set_major_formatter(ScalarFormatter())

    ax2.plot(x * 1e5, x * 1e-4)
    ax2.xaxis.set_major_formatter(ScalarFormatter())
    ax2.yaxis.set_major_formatter(ScalarFormatter())

    ax3.plot(-x * 1e5 - 1e10, -x * 1e-5 - 1e-10)
    ax3.xaxis.set_major_formatter(ScalarFormatter())
    ax3.yaxis.set_major_formatter(ScalarFormatter())

    ax4.plot(-x * 1e5, -x * 1e-4)
    ax4.xaxis.set_major_formatter(ScalarFormatter())
    ax4.yaxis.set_major_formatter(ScalarFormatter())

    fig.subplots_adjust(wspace=0.7, hspace=0.6)

    # Example 2
    x = np.arange(0, 1, .01)
    fig, [[ax1, ax2], [ax3, ax4]] = plt.subplots(2, 2, figsize=(6, 6))
    fig.text(0.5, 0.975, 'The new formatter, no numerical offset',
             horizontalalignment='center',
             verticalalignment='top')

    ax1.plot(x * 1e5 + 1e10, x * 1e-10 + 1e-5)
    ax1.xaxis.set_major_formatter(ScalarFormatter(useOffset=False))
    ax1.yaxis.set_major_formatter(ScalarFormatter(useOffset=False))

    ax2.plot(x * 1e5, x * 1e-4)
    ax2.xaxis.set_major_formatter(ScalarFormatter(useOffset=False))
    ax2.yaxis.set_major_formatter(ScalarFormatter(useOffset=False))

    ax3.plot(-x * 1e5 - 1e10, -x * 1e-5 - 1e-10)
    ax3.xaxis.set_major_formatter(ScalarFormatter(useOffset=False))
    ax3.yaxis.set_major_formatter(ScalarFormatter(useOffset=False))

    ax4.plot(-x * 1e5, -x * 1e-4)
    ax4.xaxis.set_major_formatter(ScalarFormatter(useOffset=False))
    ax4.yaxis.set_major_formatter(ScalarFormatter(useOffset=False))

    fig.subplots_adjust(wspace=0.7, hspace=0.6)

    # Example 3
    x = np.arange(0, 1, .01)
    fig, [[ax1, ax2], [ax3, ax4]] = plt.subplots(2, 2, figsize=(6, 6))
    fig.text(0.5, 0.975, 'The new formatter, with mathtext',
             horizontalalignment='center',
             verticalalignment='top')

    ax1.plot(x * 1e5 + 1e10, x * 1e-10 + 1e-5)
    ax1.xaxis.set_major_formatter(ScalarFormatter(useMathText=True))
    ax1.yaxis.set_major_formatter(ScalarFormatter(useMathText=True))

    ax2.plot(x * 1e5, x * 1e-4)
    ax2.xaxis.set_major_formatter(ScalarFormatter(useMathText=True))
    ax2.yaxis.set_major_formatter(ScalarFormatter(useMathText=True))

    ax3.plot(-x * 1e5 - 1e10, -x * 1e-5 - 1e-10)
    ax3.xaxis.set_major_formatter(ScalarFormatter(useMathText=True))
    ax3.yaxis.set_major_formatter(ScalarFormatter(useMathText=True))

    ax4.plot(-x * 1e5, -x * 1e-4)
    ax4.xaxis.set_major_formatter(ScalarFormatter(useMathText=True))
    ax4.yaxis.set_major_formatter(ScalarFormatter(useMathText=True))

    fig.subplots_adjust(wspace=0.7, hspace=0.6)

    plt.show()

Total running time of the script: ( 0 minutes 0.272 seconds)

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