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# Errorbar Subsample

Demo for the errorevery keyword to show data full accuracy data plots with few errorbars.

    import numpy as np
    import matplotlib.pyplot as plt

    # example data
    x = np.arange(0.1, 4, 0.1)
    y = np.exp(-x)

    # example variable error bar values
    yerr = 0.1 + 0.1*np.sqrt(x)

    # Now switch to a more OO interface to exercise more features.
    fig, axs = plt.subplots(nrows=1, ncols=2, sharex=True)
    ax = axs[0]
    ax.errorbar(x, y, yerr=yerr)
    ax.set_title('all errorbars')

    ax = axs[1]
    ax.errorbar(x, y, yerr=yerr, errorevery=5)
    ax.set_title('only every 5th errorbar')

    fig.suptitle('Errorbar subsampling for better appearance')

    plt.show()

Total running time of the script: ( 0 minutes 0.050 seconds)

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