I'd like to use the same patch to clip two images that share the same axes, and extract values from the un-clipped region of both arrays. Unfortunately this seems harder than expected. Code & questions below, Thanks!
from matplotlib.patches import Polygon import matplotlib.pyplot as plt from numpy import random poly = patches.Circle((5,5), radius=3, fill=False, ec='none') fig = plt.figure() ax = fig.add_subplot(121) ax.autoscale_view(0,0,0) test = random.rand(10,10) im = ax.imshow(test) test1 = random.rand(10,10) # How to prevent automatic axis scaling? ax1 = fig.add_subplot(122, sharex=ax, sharey=ax) im1 = ax1.imshow(test1) ax.add_patch(poly) im.set_clip_path(poly) # Doesn't work b/c poly vertices auto-transformed to display coords by add_patch? ax1.add_patch(poly) im1.set_clip_path(poly) # How to extract non-clipped values instead of full array? clipped_data = im.get_array() plt.show() ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
