pylab matplotlib imagemap
UPDATE 7-10-08: + add example for scatter plot + link to ken-ichi === Figuring how to make a client side image map from a matplotlib image has stumped me more than once. Andrew Dalke does have a working example. Below, I have the minimal example. It's simple once you get the steps right: just use mpl's transform() to convert the data into the image's coordinate system. Then flip the y-axis as required by the imagemap, then do the normal imagemap stuff and save the html. The only real gotcha, is to make sure to put the dpi in the call to savefig(). import pylab import sys import random name = 'imap' # make some fake data xs = range(15) ys = [random.choice(xs) for i in range(len(xs))] xys = zip(xs, ys) # can also use : f = pylab.subplot(121) f, = pylab.plot(xs, ys, 'ro') dpi = f.figure.get_dpi() height = f.figure.get_figheight() * dpi # convert the x,y coords into image coords. transform = f.get_transform() icoords = transform.transform(xys) # the minimal &#