| """ | |
| ============================== | |
| Create 3D histogram of 2D data | |
| ============================== | |
| Demo of a histogram for 2D data as a bar graph in 3D. | |
| """ | |
| 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') | |
| x, y = np.random.rand(2, 100) * 4 | |
| hist, xedges, yedges = np.histogram2d(x, y, bins=4, range=[[0, 4], [0, 4]]) | |
| # Construct arrays for the anchor positions of the 16 bars. | |
| xpos, ypos = np.meshgrid(xedges[:-1] + 0.25, yedges[:-1] + 0.25, indexing="ij") | |
| xpos = xpos.ravel() | |
| ypos = ypos.ravel() | |
| zpos = 0 | |
| # Construct arrays with the dimensions for the 16 bars. | |
| dx = dy = 0.5 * np.ones_like(zpos) | |
| dz = hist.ravel() | |
| ax.bar3d(xpos, ypos, zpos, dx, dy, dz, zsort='average') | |
| plt.show() | |