Animate A 3D Matrix With Matplotlib In Jupyter Notebook
I have a 3D matrix of shape (100,50,50), e.g. import numpy as np data = np.random.random(100,50,50) And I want to create an animation that shows each of the 2D slices of size (50,
Solution 1:
Several issues:
- You have a lot of missing imports.
numpy.random.random
takes a tuple as input, not 3 argumentsimshow
needs an array as input, not an empty list.imshow
returns anAxesImage
, which cannot be unpacked. Hence no,
on the assignment..set_data()
expects the data, not the framenumber as input.
Complete code:
from IPython.display import HTML
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
data = np.random.rand(100,50,50)
fig, ax = plt.subplots()
ax.set_xlim((0, 50))
ax.set_ylim((0, 50))
im = ax.imshow(data[0,:,:])
def init():
im.set_data(data[0,:,:])
return (im,)
# animation function. This is called sequentially
def animate(i):
data_slice = data[i,:,:]
im.set_data(data_slice)
return (im,)
# call the animator. blit=True means only re-draw the parts that have changed.
anim = animation.FuncAnimation(fig, animate, init_func=init,
frames=100, interval=20, blit=True)
HTML(anim.to_html5_video())
Post a Comment for "Animate A 3D Matrix With Matplotlib In Jupyter Notebook"