We will plot a simple three-dimensional function:
Use the 3D keyword to specify a three-dimensional projection for the plot:
ax = fig.add_subplot(111, projection='3d')
To create a square two-dimensional grid, use the
meshgrid()function to initialize thexandyvalues:u = np.linspace(-1, 1, 100) x, y = np.meshgrid(u, u)
We will specify the row strides, column strides, and the color map for the surface plot. The strides determine the size of the tiles in the surface. The choice for color map is a matter of taste:
ax.plot_surface(x, y, z, rstride=4, cstride=4, cmap=cm.YlGnBu_r)
The result is the following three-dimensional plot:
We created a plot of a three-dimensional function (see three_d.py):
from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt import numpy as np from matplotlib import cm fig = plt.figure() ax = fig.add_subplot(111, projection='3d') u = np.linspace(-1, 1, 100) x, y = np.meshgrid(u, u) z...