python 3d图

import numpy as np

import matplotlib.pyplot as plt

from mpl_toolkits.mplot3d import Axes3D



fig = plt.figure()

ax = Axes3D(fig)

X = np.arange(-4, 4, 0.25)

Y = np.arange(-4, 4, 0.25)

X, Y = np.meshgrid(X, Y)

R = np.sqrt(X ** 2 + Y ** 2)

# height value

Z = np.sin(R)

ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=plt.get_cmap('rainbow'))

   Argument      Description

    ============= ================================================

    *X*, *Y*, *Z* Data values as 2D arrays

    *rstride*     Array row stride (step size), defaults to 10

    *cstride*     Array column stride (step size), defaults to 10

    *color*       Color of the surface patches

    *cmap*        A colormap for the surface patches.

    *facecolors*  Face colors for the individual patches

    *norm*        An instance of Normalize to map values to colors

    *vmin*        Minimum value to map

    *vmax*        Maximum value to map

    *shade*       Whether to shade the facecolors

ax.plot_surface(X, Y, Z, rstride=5, cstride=5, cmap=plt.get_cmap('rainbow'))

ax.contourf(X, Y, Z, zdir='z', offset=-2, cmap=plt.get_cmap('rainbow')

    ==========  ================================================

    *X*, *Y*,   Data values as numpy.arrays

    *Z*

    *zdir*      The direction to use: x, y or z (default)

    *offset*    If specified plot a projection of the filled contour

                on this position in plane normal to zdir