> In the process, I also skimmed the 1.3 release notes. What's this? How
> was it that I missed the new xkcd style???
Did you know about
http://matplotlib.org/xkcd/gallery.html
>
> I don't know who is responsible for your marketing, but they clearly
> need to blanket the world with press relea
At work both mpl 1.1 and mpl 1.2 are installed. (I have no idea why.)
Vagaries of our current packaging cause problems (import finds 1.1
before 1.2 in sys.path). The question was what to do. I took a look at
the latest What's New document and concluded that removing 1.1 would
be the best route.
In
Would something like this suit your needs ?
import matplotlib.pyplot as plt
# Image size
width,height = 640,480
# Pixel border around image
border = 1
dpi = 72.0
figsize= (width+2*border)/float(dpi), (height+2*border)/float(dpi)
fig = plt.figure(figsize=figsize, dpi=dpi, facecolor="white")
hpi
>
> Unfortunately, figaspect is only an approximate solution, as it simply
> uses the aspect ration of the image for the whole figure (with axes and
> labels).
>
> I wonder how difficult it would be to teach matplotlib to tightly fit
> the axes around an image, and, ideally, output the figure cro
Benjamin Root writes:
> I particularly like using the figaspect() function:
>
> (...)
>
> It isn't perfect, but for its simplicity, it gets it mostly right.
Thanks, Benjamin, for your quick reply.
Unfortunately, figaspect is only an approximate solution, as it simply
uses the aspect ration of th
On Thu, Oct 17, 2013 at 8:20 AM, Christoph Groth wrote:
> Hello,
>
> I'm stuck trying to find a solution to the following problem.
>
> I'd like to show an array using imshow preserving the 1:1 aspect ratio
> of its pixels. At the same time, I would like the axes to fit around
> the image tightly
Hello,
I'm stuck trying to find a solution to the following problem.
I'd like to show an array using imshow preserving the 1:1 aspect ratio
of its pixels. At the same time, I would like the axes to fit around
the image tightly.
Is there some way to, for example, choose a certain figure width, a
