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# Labeling ticks using engineering notation

Demo to show use of the engineering Formatter.

    import matplotlib.pyplot as plt
    import numpy as np

    from matplotlib.ticker import EngFormatter

    # Fixing random state for reproducibility
    prng = np.random.RandomState(19680801)

    fig, ax = plt.subplots()
    ax.set_xscale('log')
    formatter = EngFormatter(unit='Hz')
    ax.xaxis.set_major_formatter(formatter)

    xs = np.logspace(1, 9, 100)
    ys = (0.8 + 0.4 * prng.uniform(size=100)) * np.log10(xs)**2
    ax.plot(xs, ys)

    plt.show()

Total running time of the script: ( 0 minutes 0.035 seconds)

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