"""
Accompanying source to "Python Plotting With Matplotlib (Guide)"

Note: charts in "Python Plotting With Matplotlib (Guide)" were
generated using a custom matplotlibrc file.

Outputs may look different stylistically using default matplotlib styling.
"""

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(444)


def main():
    x = np.random.randint(low=1, high=11, size=50)
    y = x + np.random.randint(1, 5, size=x.size)
    data = np.column_stack((x, y))

    fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2,
                                   figsize=(8, 4))
    ax1.scatter(x=x, y=y, marker='o', c='r', edgecolor='b')
    ax1.set_title('Scatter: $x$ versus $y$')
    ax1.set_xlabel('$x$')
    ax1.set_ylabel('$y$')
    ax2.hist(data, bins=np.arange(data.min(), data.max()),
             label=('x', 'y'))
    ax2.legend(loc=(0.65, 0.8))
    ax2.set_title('Frequencies of $x$ and $y$')
    ax2.yaxis.tick_right()


if __name__ == '__main__':
    plt.ioff()
    main()
    plt.show()