python : 2D perspective projection of a 3D surface plot
Panchi
I am making a 3D surface plot using matplotlib (python). I want to visualize the shadow (2D perspective projection) of the 3D surface on xy xz and yz surface.
In matlab, SHADOWPLOT does the needed work. Does anyone know if Python has something similar that can be used for the same?
Developer
Example from {here}:
"""
.. versionadded:: 1.1.0
This demo depends on new features added to contourf3d.
"""
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
from matplotlib import cm
fig = plt.figure()
ax = fig.gca(projection='3d')
X, Y, Z = axes3d.get_test_data(0.05)
ax.plot_surface(X, Y, Z, rstride=8, cstride=8, alpha=0.3)
cset = ax.contourf(X, Y, Z, zdir='z', offset=-100, cmap=cm.coolwarm)
cset = ax.contourf(X, Y, Z, zdir='x', offset=-40, cmap=cm.coolwarm)
cset = ax.contourf(X, Y, Z, zdir='y', offset=40, cmap=cm.coolwarm)
ax.set_xlabel('X')
ax.set_xlim(-40, 40)
ax.set_ylabel('Y')
ax.set_ylim(-40, 40)
ax.set_zlabel('Z')
ax.set_zlim(-100, 100)
plt.show()
and result:
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