Hi Eric,
> I have modified your LogNorm, added it to colors.py, made some changes
> to colorbar.py, and added a stripped-down version of your pcolor_log.py
> to the examples directory. If you update your mpl from svn, then I
> think you will find that pcolor_log now works the way you expected it
Hi Eric,
Thanks for your reply. It made me realise a few things
> But when I add a colorbar it goes wrong. The colorbar is labelled with
> the log of the values, rather
> than values, and the colour only fills the top third of the colorbar.
In the absence of additional kwargs, colorbar uses
Hi,
I'm trying to do a pcolor plot with a log normalised colour scale.
Following advice from past posts
to this list I specialised the matplotlib.colors.normalize class, and
passed an instance of that to
pcolor using the norm kwarg.
This works fine :-)
But when I add a colorbar it goes wrong. T
> There are two kinds of images in matplotlib -- AxesImage and
> FigureImage. By definition, the AxesImage is interpolated to fit into
> the Axes box. You can control the aspect ratio of the interpolation,
> but it will be interpolated. FigureImage, on the other hand, performs
> a pixel dump to
> I don't think this is a problem with the postscript backend. You're rescaling
> the image in your script. Try something like this:
>
> from pylab import *
>
> rc('text', usetex=True)
> rc('ps', usedistiller="xpdf")
>
> figure(1,figsize=(6, 4))
> im=imread('image.png')
> imshow(im,interpolation='n
> Would you post an example where the ps2pdf flags make a big difference on the
> output? I just tried with the above png, but I cant tell the difference
> between the results with/without the new flags.
http://jimmacdonald.co.uk/matplotlib/MPD_SinPulse_g0.500.png
JIM
---
> I'll look into this soon. I'm hesitant to add another rc option, maybe we can
> consider using these settings as the defaults. I'll post again after I have
> had a chance to play with it.
Defaulting to lossless FlateEncode compression seems like a good idea,
if the file is too big you can always
Hi,
I've just moved from MATLAB to matplotlib, and I'm really impressed
with the quality of the PS figures it generates with usetex and the
xpdf distiller. I've hit a couple of problems though, one I've manged
to solve (patch against 0.87.4 attached) and the other I'd be greatful
if you could hel
