尽管不理想，但屏蔽零值仍然有效。您可以使用来控制它的显示cmap.set_bad()。
from matplotlib.colors import LinearSegmentedColormap
import matplotlib.pyplot as plt
import numpy as np
dic = {'red': ((0., 1, 0),
(0.66, 1, 1),
(0.89,1, 1),
(1, 0.5, 0.5)),
'green': ((0., 1, 0),
(0.375,1, 1),
(0.64,1, 1),
(0.91,0,0),
(1, 0, 0)),
'blue': ((0., 1, 1),
(0.34, 1, 1),
(0.65,0, 0),
(1, 0, 0))}
a = np.random.rand(10,10)
a[0,:2] = 0
a[0,2:4] = 0.0001
fig, ax = plt.subplots(1,1, figsize=(6,6))
cmap = LinearSegmentedColormap('custom_cmap', dic)
cmap.set_bad('white')
ax.imshow(np.ma.masked_values(a, 0), interpolation='none', cmap=cmap)
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