Matplotlib plots: removing axis, legends and white spaces

Question

I'm new to Python and Matplotlib, I would like to simply apply colormap to an image and write the resulting image, without using axes, labels, titles or anything usually automatically added by matplotlib. Here is what I did:

def make_image(inputname,outputname):     data = mpimg.imread(inputname)[:,:,0]     fig = plt.imshow(data)     fig.set_cmap('hot')     fig.axes.get_xaxis().set_visible(False)     fig.axes.get_yaxis().set_visible(False)     plt.savefig(outputname) 

It successfully removes the axis of the figure, but the figure saved presents a white padding and a frame around the actual image. How can I remove them (at least the white padding)? Thanks

Answer 1

I think that the command axis('off') takes care of one of the problems more succinctly than changing each axis and the border separately. 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.

Note that 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')