matplotlib-users Mailing List for matplotlib

Torsten Hahn wrote:
> Hello,
> 
> i am having some trouble to make the pictures for my thesis look 
> good. I could not figure out, how i can change the space between the 
> axis and the tick-labels in my plots.
> 
> Can anyone help me?
There is an rcParams setting for this. You can set it in the 
matplotlibrc file, or directly in the script. For example,
from matplotlib import pyplot as plt
plt.rc(('xtick.major', 'ytick.major'), pad=20)
plt.plot([1,2,3])
plt.show()
(If this fails because you don't have pyplot--you are using an older 
version of mpl--change the import line to "import pylab as plt".)
Eric
> 
> 
> 
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Hello,
i am having some trouble to make the pictures for my thesis look 
good. I could not figure out, how i can change the space between the 
axis and the tick-labels in my plots.
Can anyone help me?

cyclopsvs wrote:
> Hello matplotlib users, 
> 
> I just recently started using the matplot library for generating simple
> graphs instead of using R. The problem i'm experiencing are the following. 
> 
> On my work station i had to enable x11 forwarding to be able to run a script
> generating plots on a server . The problem now is that my own computer is a
> mac and normally when i use the x11 app to connect to a server x forwarding
> is suited to run all script that use a x11 window. 
If you don't need interactive plots, you might consider doing it the
old-fashioned way: saving the plots as png files in batch mode
and displaying with firefox.
import matplotlib
matplotlib.use('Agg') #non-interacive back-end
import matplotlib.pyplot as plt
....
plt.savefig('/home/me/public_html/plots/thefile.png',dpi=100)
We've automated this so the python script makes the plots,
builds an image gallery with thumbnails and
then copies the plots off our cluster (which doesn't mount
the web server directory) and onto the web server
using rsync. For example
http://clouds.eos.ubc.ca/~phil/savefigs/E/
-- Phil

Eric Firing wrote:
> _backend_gdk.c and nxutils.c both call into the numpy C API; maybe some
> c++ code does also. It is not entirely clear to me whether 1.1 is 
> sufficiently binary-compatible that this is safe.
> 
The C API did not change (with the possible exception of additions). I'd 
be really surprised if this is an issue -- the numpy devs worked to make 
sure there would be no breakage at the C API level.
(And even if it did change, as it might one day in the future -- numpy 
2? -- there's a check that happens at numpy load time, during 
import_array(), that checks whether the version of numpy you compiled 
with is the version you're loading now and raises an exception if it's 
not. So, the old nightmares of numeric and numarray possibly being run 
against binary incompatible versions are a thing of the past. This check 
actually saved quite a few headaches during the runup to numpy 1.0, when 
there were a number of C API changes happening in quick succession as 
Travis worked to get it right. That machinery is still in there.)

On Thu, May 29, 2008 at 9:40 AM, cyclopsvs <men...@gm...> wrote:
> Does anyone had some experience with using apache and matplot lib together,
> if so could you share the experiences you had installing everything.
>
> I'd like to know before i continue developing these features of the
> application.
matplotlib renders to a number of different targets, eg user
interfaces, PNG, or postscript. The user interfaces require an x11
connection, but the image generation backends do not. Thjese are the
ones you will want to use with apache, django, etc. What you need to
do is set your default backend to "Agg" in your matplotlibrc file.
This file resides in site-packages/matplotlib/mpl-data and can be
moved into either HOME/..matplotlib or your working directory (eg
where your image generating code lives). Once this is done mpl will
generate PNGs w/o an X11 connection.
http://www.scipy.org/Cookbook/Matplotlib/Django has some information
on using mpl with django, but it is bit out of date because you no
longer need PIL to save to a file handle. mpl can now save PNG
directly to a file handle

Hello matplotlib users, 
I just recently started using the matplot library for generating simple
graphs instead of using R. The problem i'm experiencing are the following. 
On my work station i had to enable x11 forwarding to be able to run a script
generating plots on a server . The problem now is that my own computer is a
mac and normally when i use the x11 app to connect to a server x forwarding
is suited to run all script that use a x11 window. 
when i start a development server ( in Django ) from the my linux computer
it works but from apple it doesn't
In this case i get a error saying that i miss the DISPLAY variable. 
I talked to our sys administrator because i was thinking how it would
respond when i put the version in production in this case it would be behind
apache instead of a development server that i manually start in Django. He
told me that that could be a problem because apache doesn't connects to any
x11 display. 
Does anyone had some experience with using apache and matplot lib together,
if so could you share the experiences you had installing everything. 
I'd like to know before i continue developing these features of the
application.
Any help would be greatly appreciated. 
Regards, 
Richard Mendes
-- 
View this message in context: http://www.nabble.com/matplotlib-x11-usage-tp17536252p17536252.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

I've consistently been able to build matplotlib on OS X. Just make
sure you have all the dependencies installed. Personally, I have lbpng
and whatnot installed in /usr/local instead of /usr/X11. I don't know
if that'll help. Also, I use the GCC 4.2 that Apple has available for
download on developer.apple.com. Then you just change the Makefile in
the /Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/config/
directory to not use Wno-long-double or no-cpp-precomp. I also took
out all the ppc arch flags since it was causing some issues there with
my versions of libpng and whatnot technically not being universal
binaries. If you don't want to build univeral binary versions of your
dependencies or use the ones alread provided in /usr/X11 (which are
universal I think), you should make Python only build for your
architecture, which is what I did.
My only issue with matplotlib thusfar seems to be the inability to do
the plot3d examples from the scipy website, but I'm told that stuff is
officially unsupported anyway.
Josh
On Wed, May 28, 2008 at 3:35 PM, Eric Firing <ef...@ha...> wrote:
> Christopher Barker wrote:
>> Tommy Grav wrote:
>>>> I
>>>> don't know that it has ever all been consolidated into one easy-to-
>>>> find, easy-to-use set of instructions that will work for just about anyone.
>>
>> no, it hasn't.
> And one of the reasons may be that it is very complicated in practice,
> with all the possible variations of OSX versions, Xcode versions,
> processor architectures, and styles of build for python itself and
> various libraries. It seems to require learning a whole new jargon.
>>
>> However, I think:
>>
>> $ easy-install matplotlib
>>
>> should work, at least with the python.org python2.5
>>
>>>> Maybe someone can provide, or has provided, a universal binary of
>>>> 0.91.2 built against numpy 1.1?
>>
>> does it need to be "built against" numpy at all? I didn't think it was a
>> build-time dependency -- that is, any MPL 0.91.2 should do, and you can
>> drop a new numpy into it. I don't know if there is one yet, though...
>
> _backend_gdk.c and nxutils.c both call into the numpy C API; maybe some
> c++ code does also. It is not entirely clear to me whether 1.1 is
> sufficiently binary-compatible that this is safe.
>
>
>> There are essentially two options:
>>
>> 1) built it just for yourself -- I think the instructions John H. posted
>> are pretty easy to follow.
>
> That's the way they look, but having watched someone try it, I can
> testify that looks are deceptive. I would say that with 95%
> probability, if Tommy tried to follow John's instructions, he would not
> succeed.
>
> Eric
>
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