axis('off') method resolves one of the problems more succinctly than separately changing each axis and border. It still leaves the white space around the border however. Adding
bbox_inches="tight" to the
savefig command almost gets you there; you can see in the example below that the white space left is much smaller, but still present.
Newer versions of matplotlib may require
bbox_inches=0 instead of the string
'tight' (via @episodeyang and @kadrach)
from numpy import random import matplotlib.pyplot as plt data = random.random((5,5)) img = plt.imshow(data, interpolation='nearest') img.set_cmap('hot') plt.axis('off') plt.savefig("test.png", bbox_inches="tight")
You may Also Like: