Python Matplotlib trisurf绘图是如何工作的?

Python Matplotlib trisurf绘图是如何工作的?,python,matplotlib,Python,Matplotlib,我无法从matplotlib文档()了解trisurf绘图的工作原理。有人能解释一下X、Y和Z参数是如何产生三维图的吗?让我来给你讲讲这个从 x,y值是我们计算曲面的一系列值。对于每个(x,y)坐标对,我们有一个单独的z值,它表示该点处曲面的高度 ''' ====================== Triangular 3D surfaces ====================== Plot a 3D surface with a triangular mesh. ''' from

我无法从matplotlib文档()了解trisurf绘图的工作原理。有人能解释一下X、Y和Z参数是如何产生三维图的吗?

让我来给你讲讲这个从

x,y值是我们计算曲面的一系列值。对于每个(x,y)坐标对,我们有一个单独的z值,它表示该点处曲面的高度

'''
======================
Triangular 3D surfaces
======================

Plot a 3D surface with a triangular mesh.
'''

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np


n_radii = 8
n_angles = 36

# Make radii and angles spaces (radius r=0 omitted to eliminate duplication).
radii = np.linspace(0.125, 1.0, n_radii)
angles = np.linspace(0, 2*np.pi, n_angles, endpoint=False)

# Repeat all angles for each radius.
angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)

# Convert polar (radii, angles) coords to cartesian (x, y) coords.
# (0, 0) is manually added at this stage,  so there will be no duplicate
# points in the (x, y) plane.
x = np.append(0, (radii*np.cos(angles)).flatten())
y = np.append(0, (radii*np.sin(angles)).flatten())

# Compute z to make the pringle surface.
z = np.sin(-x*y)

fig = plt.figure()
ax = fig.gca(projection='3d')

ax.plot_trisurf(x, y, z, linewidth=0.2, antialiased=True)

plt.show()