Colormap issue using animation in matplotlib

问题:

I use matplotlib.animation to animate data in a 3D array named arr. I read data from a h5 file using h5py library and everything is OK. But when using animation, the colormap got stuck in first frame of the data range, and after some steps it shows unnormalized colors while plotting.

Here is my code:

import numpy as np
import h5py
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import matplotlib.cm as cm

f = h5py.File('ez.h5','r')
arr = f["ez"][:,:,:]
f.close()

fig = plt.figure()

i = 0
p = plt.imshow(arr[:,:,0], interpolation='bilinear', cmap=cm.RdYlGn)

def updatefig(*args):
    global i
    i += 1
    if (i==333):
        i = 0
    p.set_array(arr[:,:,i])
    plt.clim()
    return p,

ani = animation.FuncAnimation(fig, updatefig, interval=50, blit=True)
plt.show()

回答1:

I think you want to replace set_clim() with

p.autoscale()

With no arguments, set_clim() is a no-op.

That said, changing your color scale in the middle of an animations seems very misleading.

You should also use set_data instead of set_array (according to the docs).