问题:

This question already has an answer here:

surface plots in matplotlib 7 answers

I am trying to make a simple 3D surface plot with matplotlib but the plot does not show at the end. I only get an empty 3D axes. Here is what I did

from mpl_toolkits.mplot3d import Axes3D

x= np.arange(1, 100, 1)

y= np.arange(1, 100, 1)

z= np.arange(1, 100, 1)

fig= figure()

ax= fig.add_subplot(111, projection ='3d')

ax.plot_surface(x, y, z, rstride= 5, cstride= 5)

show()

So I get this

Any suggestions?

回答1:

You are not plotting a surface: x, y and z needs to be 2D arrays. Look at this example: http://matplotlib.org/examples/mplot3d/surface3d_demo.html.

回答2:

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import axes3d, Axes3D
from scipy.interpolate import griddata

x= np.arange(1, 100, 1)
y= np.arange(1, 100, 1)
z= np.arange(1, 100, 1)
fig = plt.figure()
ax = fig.gca(projection='3d')
xi = np.linspace(x.min(), x.max(), 50)
yi = np.linspace(y.min(), y.max(), 50)
zi = griddata((x, y), z, (xi[None, :], yi[:, None]), method='nearest')    # create a uniform spaced grid
xig, yig = np.meshgrid(xi, yi)
surf = ax.plot_wireframe(X=xig, Y=yig, Z=zi, rstride=5, cstride=3, linewidth=1)   # 3d plot
plt.show()