matplotlib-users Mailing List for matplotlib

3D plotting in mpl should be considered, at best, to be experimental and 
unsupported. Some interesting and fairly extensive capabilities were 
added but have not been consistently maintained. Mpl is at heart 2D.
Eric
Lorenzo Isella wrote:
> Dear All,
> I would like to try out matplotlib for some basic 3D plotting.
> First of all, is matplotlib suitable for that? I am asking since I read 
> on the website that matplotlib's selling point is 2D plotting.
> What I would like to plot should be relatively easy: say that I have a 
> distribution (e.g. think of a Gaussian) whose features evolve as time 
> goes on.
> I aim at a 3D plot where time is the z coordinate, x is the independent 
> variable of my distribution at t fixed and y=f(x) is my Gaussian 
> distribution.
> The data I would like to plot are in the following form:
> 
> f(t_1,x_1),f(t_1,x_2)...f(t_1,x_n)
> f(t_2,x_1),f(t_2,x_2)...f(t_2,x_n)
> .
> .
> .
> f(t_m,x_1),f(t_m,x_2)...f(t_m,x_n)
> 
> and I know both the time sequence {t_1,t_2...t_m} and the x sequence 
> {x_1,x_2,x_n}.
> I got something roughly similar to what I had in mind using R, but I do 
> not think it is the right tool for that.
> Should I resort to Gnuplot by necessity or is Matplotlib up to the task?
> Judging from what I see on:
> http://www.scipy.org/Cookbook/Matplotlib/mplot3D
> that would seem the case.
> I have been trying to modify the last example with some artificially 
> generated data, but so far unsuccessfully.
> Any suggestions? I suppose I am not the first one to come across this!
> Many thanks
> 
> Lorenzo
> 
> 
> 
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Dear All,
I would like to try out matplotlib for some basic 3D plotting.
First of all, is matplotlib suitable for that? I am asking since I read 
on the website that matplotlib's selling point is 2D plotting.
What I would like to plot should be relatively easy: say that I have a 
distribution (e.g. think of a Gaussian) whose features evolve as time 
goes on.
I aim at a 3D plot where time is the z coordinate, x is the independent 
variable of my distribution at t fixed and y=f(x) is my Gaussian 
distribution.
The data I would like to plot are in the following form:
f(t_1,x_1),f(t_1,x_2)...f(t_1,x_n)
f(t_2,x_1),f(t_2,x_2)...f(t_2,x_n)
.
.
.
f(t_m,x_1),f(t_m,x_2)...f(t_m,x_n)
and I know both the time sequence {t_1,t_2...t_m} and the x sequence 
{x_1,x_2,x_n}.
I got something roughly similar to what I had in mind using R, but I do 
not think it is the right tool for that.
Should I resort to Gnuplot by necessity or is Matplotlib up to the task?
Judging from what I see on:
http://www.scipy.org/Cookbook/Matplotlib/mplot3D
that would seem the case.
I have been trying to modify the last example with some artificially 
generated data, but so far unsuccessfully.
Any suggestions? I suppose I am not the first one to come across this!
Many thanks
Lorenzo

John T Whelan <joh...@li...> writes:
> Shouldn't
> r"some label text ($\mu V$)"
> work?
It doesn't work in any released version, but it seems that Michael
Droettboom's recent mathtext improvements include this (and much more).
-- 
Jouni K. Seppänen
http://www.iki.fi/jks

"Jonathan Makem" <jma...@qu...>
writes:
> However, if I try:
> savefig('name.pdf')
> The program crashes. Is there anyway of solving this problem?
You'll need to provide more information than "the program crashes", but
if you're seeing the cp1252 bug, you'll need to use the bleeding-edge
svn version or apply the patch at
http://thread.gmane.org/gmane.comp.python.matplotlib.general/9792/focus=9796
-- 
Jouni K. Seppänen
http://www.iki.fi/jks

Brian Blais <bb...@br...> writes:
> and it works with pylab. But, if I use matplotlib.Figure directly in
> an app, and then call:
> myfig.savefig('blah.pdf') it saves it as 'blah.pdf.jpg', a jpeg file.
Sounds like you are using a backend other than the pdf one. Can you
write up a complete example of code that behaves like you describe?
-- 
Jouni K. Seppänen
http://www.iki.fi/jks

<html><body>
<p>Hi,<br>
<br>
I am installing matplotlib on a RedHat x86_64 machine, running Python 2=
.3.4. I could not find any binary for it on sourceforge and thus I have=
 to compile it. Has somebody tried this and are there some pitfalls? <b=
r>
Also, what does the setup utility peak do? Has anybody gotten it to wor=
k with 64bit under Python 2.3.4 (I'd like to avoid upgrading if possibl=
e).<br>
<br>
Any pointers are appreciated. Thanks a lot!<br>
<br>
Best regards,<br>
Berit<br>
<br>
<br>
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Hi,
 I'm havind difficulty plotting saving pylab images in pdf format. At =
the moment, they are saved as .png files by default using:=20
savefig('name',dpi=3D300)
However, if I try:
savefig('name.pdf')
The program crashes. Is there anyway of solving this problem?
Regards,
Jony

Hi,
 I'm havind difficulty plotting saving pylab images in pdf format. At =
the moment, they are saved as .png files by default using:=20
savefig('name',dpi=3D300)
However, if I try:
savefig('name.pdf')
The program crashes. Is there anyway of solving this problem?
Regards,
Jony

Hello
I am having trouble saving a figure to pdf on Mac OS X (matplotlib 
version 0.90.1). I applied the patch for pylab, here:
http://www.mail-archive.com/mat...@li.../ 
msg00940.html
and it works with pylab. But, if I use matplotlib.Figure directly in 
an app, and then call:
myfig.savefig('blah.pdf') it saves it as 'blah.pdf.jpg', a jpeg file.
any ideas? I can try to throw together some example, in case someone 
needs to repeat it.
		thanks,
			Brian Blais
-- 
Brian Blais
bb...@br...
http://web.bryant.edu/~bblais