| """ | |
| ======================= | |
| Plot 2D data on 3D plot | |
| ======================= | |
| Demonstrates using ax.plot's *zdir* keyword to plot 2D data on | |
| selective axes of a 3D plot. | |
| """ | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| ax = plt.figure().add_subplot(projection='3d') | |
| # Plot a sin curve using the x and y axes. | |
| x = np.linspace(0, 1, 100) | |
| y = np.sin(x * 2 * np.pi) / 2 + 0.5 | |
| ax.plot(x, y, zs=0, zdir='z', label='curve in (x, y)') | |
| # Plot scatterplot data (20 2D points per colour) on the x and z axes. | |
| colors = ('r', 'g', 'b', 'k') | |
| # Fixing random state for reproducibility | |
| np.random.seed(19680801) | |
| x = np.random.sample(20 * len(colors)) | |
| y = np.random.sample(20 * len(colors)) | |
| c_list = [] | |
| for c in colors: | |
| c_list.extend([c] * 20) | |
| # By using zdir='y', the y value of these points is fixed to the zs value 0 | |
| # and the (x, y) points are plotted on the x and z axes. | |
| ax.scatter(x, y, zs=0, zdir='y', c=c_list, label='points in (x, z)') | |
| # Make legend, set axes limits and labels | |
| ax.legend() | |
| ax.set_xlim(0, 1) | |
| ax.set_ylim(0, 1) | |
| ax.set_zlim(0, 1) | |
| ax.set_xlabel('X') | |
| ax.set_ylabel('Y') | |
| ax.set_zlabel('Z') | |
| # Customize the view angle so it's easier to see that the scatter points lie | |
| # on the plane y=0 | |
| ax.view_init(elev=20., azim=-35, roll=0) | |
| plt.show() | |