| """ | |
| ======================================== | |
| Create 2D bar graphs in different planes | |
| ======================================== | |
| Demonstrates making a 3D plot which has 2D bar graphs projected onto | |
| planes y=0, y=1, etc. | |
| """ | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| # Fixing random state for reproducibility | |
| np.random.seed(19680801) | |
| fig = plt.figure() | |
| ax = fig.add_subplot(projection='3d') | |
| colors = ['r', 'g', 'b', 'y'] | |
| yticks = [3, 2, 1, 0] | |
| for c, k in zip(colors, yticks): | |
| # Generate the random data for the y=k 'layer'. | |
| xs = np.arange(20) | |
| ys = np.random.rand(20) | |
| # You can provide either a single color or an array with the same length as | |
| # xs and ys. To demonstrate this, we color the first bar of each set cyan. | |
| cs = [c] * len(xs) | |
| cs[0] = 'c' | |
| # Plot the bar graph given by xs and ys on the plane y=k with 80% opacity. | |
| ax.bar(xs, ys, zs=k, zdir='y', color=cs, alpha=0.8) | |
| ax.set_xlabel('X') | |
| ax.set_ylabel('Y') | |
| ax.set_zlabel('Z') | |
| # On the y-axis let's only label the discrete values that we have data for. | |
| ax.set_yticks(yticks) | |
| plt.show() | |