On Sun, Mar 18, 2012 at 5:07 PM, Joshua Lande <joshuala...@gmail.com> wrote:
> Hello.
>
> I have run into a strange error where matplotlib compresses images
> that are saved with the eps backend. Strangely, this compression seems
> to happen only for images saved with certain figure sizes. I created a
> very simple example which produces this behavior.
>
> import pylab as P
> import numpy as np
> np.random.seed(0)
> z=np.random.uniform(size=(22,22))
>
> for figsize in [.5,.55]:
> F = P.figure(None,(figsize,figsize))
> ax = F.add_subplot(111)
> im = ax.imshow(z, origin="lower", interpolation="nearest")
> ax.xaxis.set_ticks([])
> ax.yaxis.set_ticks([])
>
> P.savefig('test_%.2f.eps' % figsize)
>
> This code produces test_0.50.eps (attached) which shows ugly
> compression whereas test_0.55.eps (also attached) is uncompressed.
>
> Is there an easy way to disable this compression?
>
> For reference, I am using python version 2.7.2, matplotlib version
> 1.1.0, and for clarity I do not have a matplotlibrc file.
>
> Thanks for your help,
>
> Joshua
>
>
Using Firefox, I see no difference between the two images. What are you
using?
Ben Root
------------------------------------------------------------------------------
This SF email is sponsosred by:
Try Windows Azure free for 90 days Click Here
http://p.sf.net/sfu/sfd2d-msazure
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
