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# Seaborn example

This example demonstrates a Seaborn plot. Figures produced Matplotlib and by any package that is based on Matplotlib (e.g., Seaborn), will be captured by default. See Image scrapers for details.

    # Author: Michael Waskom & Lucy Liu
    # License: BSD 3 clause

    from __future__ import division, absolute_import, print_function

    import numpy as np
    import seaborn as sns
    import matplotlib.pyplot as plt

    # Enforce the use of default set style

    # Create a noisy periodic dataset
    y_array = np.array([])
    x_array = np.array([])
    rs = np.random.RandomState(8)
    for _ in range(15):
        x = np.linspace(0, 30 / 2, 30)
        y = np.sin(x) + rs.normal(0, 1.5) + rs.normal(0, .3, 30)
        y_array = np.append(y_array, y)
        x_array = np.append(x_array, x)

    # Plot the average over replicates with confidence interval
    sns.lineplot(y=y_array, x=x_array)
    # to avoid text output
    plt.show()

Estimated memory usage: 54 MB

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