matplotlib-users Mailing List for matplotlib

i created the project for 'mplrc' here
https://code.google.com/p/mplrc/

let me know what you all think. if you all send me your publications'
settings i can add them, or if you want an account ill make you one. 

one thing to mention is that the params dictionary probably should set
all possible settings so that there is no ambiguity. i have yet to do
this.

here is an example of my ieee format


On Fri, 2011-04-15 at 14:09 -0400, Tony Yu wrote:
> 
> 
> On Fri, Apr 15, 2011 at 8:36 AM, Auré Gourrier
> <aur...@ya...> wrote:
>         Good Idea !
>         I'm also using mpl for other publications than ieee and it
>         sounds like a small mplrc data base with targeted journal
>         specifications would be worthwhile doing ! I would be ready to
>         contribute.
>         Cheers,
>         Auré
>         
>         
>         
> 
> Is there any reason this needs to done with rc files? I prefer to put
> document-specific configuration into modules. For example, you could
> have a module that looks like:
> 
> mplrc/
>     __init__.py
>     aps_fullpage.py
>     aps_twocolumn.py
>     ieee.py
>     ...
> 
> (`aps` could even be directory). And each module would set rc
> parameters using function calls; for example, aps_twocolumn.py might
> look like:
> 
> import matplotlib.pyplot as plt
> plt.rc('axes', labelsize=10)
> plt.rc('text', fontsize=10)
> plt.rc('legend', fontsize=10)
> plt.rc('xtick', labelsize=8)
> plt.rc('ytick', labelsize=8)
> plt.rc('text', usetex=False)
> plt.rc('figure', figsize=(3.4039, 2.1037))
> 
> (Alternatively, you could create a separate rc file and just have the
> module load that rc file). The advantage of this module-based approach
> is that you could simply import the module whenever you need it (e.g.,
> just add `import mplrc.aps_twocolumn` at the top of your script). If I
> used an rc file instead, I'd have to copy the rc file to my working
> directory each time, or somehow, manually load the rc file from a
> path.
> 
> Just a suggestion.
> 
> -Tony
> 

Is there a way to control the distance between the axis label and the 
tick labels with mplot3d.Axes3D? For small figure sizes they overlap and 
I haven't found a way to fix that. My last resort was to remove the tick 
labels but that sucks for publication-quality plots.

Cheers,
-- 
Giovanni Luca Ciampaglia

Ph.D. Candidate
Faculty of Informatics
University of Lugano
Web: http://www.inf.usi.ch/phd/ciampaglia/

Bertastraße 36 ∙ 8003 Zürich ∙ Switzerland

Hello,

check the help ;). you can set aspect='auto' or something fixed.

Regards,

Sebastian

On Sat, 2011-04-16 at 10:43 +0200, Paolo Zaffino wrote:
> Hi at all,
> I have a numpy matrix (an image) and I'd like to show it.
> I thought to use show function, but I have a question.
> I don't want that the pixel have dimension 1x1 unit but I want for 
> example 1X1.5 unit (I don't want a square but a rectangle).
> How can I do this?
> Thanks in advance.
> Paolo
> 
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Hi at all,
I have a numpy matrix (an image) and I'd like to show it.
I thought to use show function, but I have a question.
I don't want that the pixel have dimension 1x1 unit but I want for 
example 1X1.5 unit (I don't want a square but a rectangle).
How can I do this?
Thanks in advance.
Paolo

On 04/15/2011 12:08 PM, Thomas Robitaille wrote:
> Hi,
>
> The following code causes matplotlib to hang:
>
> ---
>
> import numpy as np
>
> import matplotlib as mpl
> mpl.use('Agg')
> import matplotlib.pyplot as plt
> from matplotlib.patches import Circle
>
> fig = plt.figure()
> ax = fig.add_subplot(1,1,1)
> ax.add_patch(Circle((1.e17, 1.e17), radius=1.e15))
> fig.savefig('test.png')
>
> ---
>
> Am I doing something wrong?

You found a bug, presumably in extension code, since Ctl-C doesn't bring 
it to a halt.

Eric

>
> Thanks for any help,
>
> Cheers,
> Tom