Reputation: 793
I plot figures in a for loop which is a loop for my time, basically at each time step I plot a surf out of my data as below:
for time_step in range(0,nt):
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
x = np.arange(xmin, xmax+dx, dx)
z = np.arange(zmin, zmax+dz, dz)
X, Z = np.meshgrid(x, z)
ax.plot_surface(X, Z, w1[time_step])
plt.show()
Suppose that w1[time_step] changes in the loop and is sth different at each time step, all other assumptions you can have. I plot but don't know only how to make them into a video.
I have done it matlab, but I want to do sth similar in Python
Upvotes: 3
Views: 3136
Reputation: 13465
Matplotlib as some animation features you might want to use. Check the following recipe (that I collected from here):
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
import numpy as np
import time
def generate(X, Y, phi):
R = 1 - np.sqrt(X**2 + Y**2)
return np.cos(2 * np.pi * X + phi) * R
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
xs = np.linspace(-1, 1, 50)
ys = np.linspace(-1, 1, 50)
X, Y = np.meshgrid(xs, ys)
Z = generate(X, Y, 0.0)
wframe = None
tstart = time.time()
for phi in np.linspace(0, 360 / 2 / np.pi, 100):
oldcol = wframe
Z = generate(X, Y, phi)
wframe = ax.plot_wireframe(X, Y, Z, rstride=2, cstride=2)
# Remove old line collection before drawing
if oldcol is not None:
ax.collections.remove(oldcol)
plt.pause(.001)
print('FPS: %f' % (100 / (time.time() - tstart)))
Just replace the wireframe plot for whatever you want (and also use your data obviously) and you should have what you are looking for.
Upvotes: 1