For quick plotting, you can't go wrong with matplotlib.
Sometimes you'd like to make figures in a grid. In these scenarios
you may find the
plt.subplot command useful. A demonstration of
this function is listed below.
import numpy as np import matplotlib.pylab as plt plt.figure(figsize=(7,7)) for i, mu in enumerate([0, 1, 2]): for j, sigma in enumerate([0.1, 0.2, 0.3]): x = np.random.normal(mu, sigma, (1000,)) plt.subplot(3, 3, 3 * i + j + 1) plt.hist(x) plt.xlim(-1, 4)
Feedback? See an issue? Feel free to mention it here.
If you want to be kept up to date, consider getting the newsletter.