import numpy as np
import matplotlib.pyplot as plt
with plt.xkcd():
    fig = plt.figure()
    ax = fig.add_axes((0.1, 0.2, 0.8, 0.7))
    ax.spines.right.set_color('none')
    ax.spines.top.set_color('none')
    ax.set_xticks([])
    ax.set_yticks([])
    ax.set_ylim([-30, 10])
    data = np.ones(100)
    data[70:] -= np.arange(30)
    ax.annotate('THE DAY I REALIZED\nI COULD COOK BACON\nWHENEVER I WANTED',
        xy=(70, 1), arrowprops=dict(arrowstyle='->'), xytext=(15, -10))
    ax.plot(data)
    ax.set_xlabel('time')
    ax.set_ylabel('my overall health')
    fig.text(0.5, 0.05,'from xkcd',ha='center')
plt.savefig('ex222_1.png', dpi=72)
plt.show()

with plt.xkcd():
    fig = plt.figure()
    ax = fig.add_axes((0.1, 0.2, 0.8, 0.7))
    ax.bar([0, 1], [0, 100], 0.25)
    ax.spines.right.set_color('none')
    ax.spines.top.set_color('none')
    ax.xaxis.set_ticks_position('bottom')
    ax.set_xticks([0, 1])
    ax.set_xticklabels(['CONFIRMED BY\nEXPERIMENT', 'REFUTED BY\nEXPERIMENT'])
    ax.set_xlim([-0.5, 1.5])
    ax.set_yticks([])
    ax.set_ylim([0, 110])
    ax.set_title("CLAIMS OF SUPERNATURAL POWERS")
    fig.text(0.5, 0.05,'from xkcd',ha='center')
plt.savefig('ex222_2.png', dpi=72)
plt.show()


Discover more from Tips and Hints for Aerospace Engineers

Subscribe now to keep reading and get access to the full archive.

Continue reading