On Mon, Oct 13, 2008 at 6:56 PM, Eric Firing <[EMAIL PROTECTED]> wrote:
>> However, unfortunately there appears to be some problem with the
>> generation of the figures which are supposed to be embedded within that
>> documentation - they're all appearing as nothing but blank white spaces,
>> both
On Tue, Oct 14, 2008 at 7:35 AM, Michael Droettboom <[EMAIL PROTECTED]> wrote:
> I saw this blank image problem a couple of weeks ago, and I was seeing it in
> my local doc builds as well.
>
> It appeared then that this change broke inline plots:
>
> """
> r6089 | jdh2358 | 2008-09-13 10:28:09 -040
On Mon, Oct 13, 2008 at 3:59 PM, Eric Firing <[EMAIL PROTECTED]> wrote:
> Michael Lerner wrote:
>>
>> Hi,
>>
>> I'm trying to plot some data where certain values are marked by a
>> sentinel, as per the Cookbook example:
>>
>>
>> http://www.scipy.org/Cookbook/Matplotlib/Plotting_Images_with_Special_
Is there a routine in matplotlib for telling whether a point is inside a
convex 4 sided polygon?
Mathew
-
This SF.Net email is sponsored by the Moblin Your Move Developer's challenge
Build the coolest Linux based applicat
Can you send us some input and output that exhibits this problem, and
some information about your versions and platform?
[EMAIL PROTECTED] wrote:
> The plot PDFs that matplotlib makes by default seem to be too tiny to contain
> my biggest axis labels and my poor Latex stuff is chopped in half.
>
Mathew,
Have you tried the solution that was suggested by Angus yesterday on the numpy
mailing list ?
http://projects.scipy.org/pipermail/scipy-user/2008-February/015418.html
>>> import numpy as np
>>> import matplotlib.nxutils as nxutils
>>> polygon=np.array([(0,0),(0,1),(1,1),(1,0)])
>>> point
Thanks! Thats exactly what I was looking for!
Mathew
Michael Droettboom wrote:
> If you can convert your polygon to a path, you can use the
> "contains_point" method:
>
> >>> from matplotlib import path
> >>> p = path.Path([[0,0], [42, 3], [45, 23], [1, 32]])
> >>> p.contains_point([5,5])
> 1
>
Pierre GM wrote:
> Mathew,
> Have you tried the solution that was suggested by Angus yesterday on the
> numpy
> mailing list ?
>
> http://projects.scipy.org/pipermail/scipy-user/2008-February/015418.html
>
import numpy as np
import matplotlib.nxutils as nxutils
polygon=np.array([
[EMAIL PROTECTED] writes:
> I also attached the final PDF since you asked for it.
You didn't mention your matplotlib version, but the embedded pdf file
seems to come from matplotlib 0.91.2. That version had a bug where the
graphics context was not always restored properly, which could very well
b
On Tue, Oct 14, 2008 at 2:58 PM, Eric Firing <[EMAIL PROTECTED]> wrote:
> mask = (PyArrayObject *)PyArray_SimpleNew(1,dimensions,PyArray_INT);
>
> in nxutils.cpp would become
>
> mask = (PyArrayObject *)PyArray_SimpleNew(1,dimensions, NPY_BOOL);
>
> Can anyone think of anything this would break,
On Tue, Oct 14, 2008 at 03:00:05PM -0400, Michael Droettboom wrote:
> With the file you sent, I can see the messed up footer in xpdf, but not
> in acroread. There are a number of times that I have seen xpdf not
> completely support the PDF spec, and this may be one of them.
I installed acroread a
Jouni K. Seppänen <[EMAIL PROTECTED]> writes:
> 2008-03-23 Fix a pdf backend bug which sometimes caused the outermost
> gsave to not be balanced with a grestore. - JKS
>
> Can you upgrade to 0.91.4?
Here's the relevant patch, in case applying it is more convenient than
upgrading:
Angus originally suggest matplotlib. The other proposed solutions are
overkill, unless it turns out that performance is a problem
Thanks
Mathew
Pierre GM wrote:
> Mathew,
> Have you tried the solution that was suggested by Angus yesterday on the
> numpy
> mailing list ?
>
> http://projects.sci
If you can convert your polygon to a path, you can use the
"contains_point" method:
>>> from matplotlib import path
>>> p = path.Path([[0,0], [42, 3], [45, 23], [1, 32]])
>>> p.contains_point([5,5])
1
>>> p.contains_point([72, 3])
0
Mike
Mathew Yeates wrote:
> Is there a routine in matplotl
[EMAIL PROTECTED] wrote:
> LaTeX can accept embedded Python code with a python.sty file.
>
> This is handy to dynamically generate plots with Matplotlib for a LaTeX slide
> presentation.
>
> I successfully embedded lots of matplotlib plot code into my slides
> and then had problems with zorder.
>
>
With the file you sent, I can see the messed up footer in xpdf, but not
in acroread. There are a number of times that I have seen xpdf not
completely support the PDF spec, and this may be one of them.
Creating my own files, however, I'm not able to reproduce this here.
When I compile your tes
I saw this blank image problem a couple of weeks ago, and I was seeing
it in my local doc builds as well.
It appeared then that this change broke inline plots:
"""
r6089 | jdh2358 | 2008-09-13 10:28:09 -0400 (Sat, 13 Sep 2008) | 1 line
replaced ipython run magic with code.InteractiveConsole.run
On Tue, Oct 14, 2008 at 11:21:58PM +0300, Jouni K. Sepp?nen wrote:
> Jouni K. Sepp?nen <[EMAIL PROTECTED]> writes:
>
> > 2008-03-23 Fix a pdf backend bug which sometimes caused the outermost
> > gsave to not be balanced with a grestore. - JKS
> >
> > Can you upgrade to 0.91.4?
>
> He
Any help appreciated
I am displaying a line on a map ala
--
m=Basemap( )
xpt,ypt= m([],[])
outlines=m.plot(xpt,ypt,'r-')
-
and then in an update routine I do
def update(newxpts,newypts):
outlines[0].set_data(newxpst,newypts)
-
John Hunter wrote:
> On Tue, Oct 14, 2008 at 2:58 PM, Eric Firing <[EMAIL PROTECTED]> wrote:
>> mask = (PyArrayObject *)PyArray_SimpleNew(1,dimensions,PyArray_INT);
>>
>> in nxutils.cpp would become
>>
>> mask = (PyArrayObject *)PyArray_SimpleNew(1,dimensions, NPY_BOOL);
>>
>> Can anyone think of
I had a bug in my code, when I fixed it I can now see the lines.
If there is a better way to do what I'm doing, and love to hear it.
Mathew Yeates wrote:
> Any help appreciated
>
> I am displaying a line on a map ala
> --
> m=Basemap( )
> xpt,ypt= m([],[])
> outlines=m.plot(xp
Hi,
I've successfully compiled NumPy for Python 2.6 on Windows x64 (amd64).
NumPy seems so pass most of the unit tests, except for a few minor ones
where it seems nose (the unit testing harness) seems to have problems with
python 2.6.
After compiling MPL for 2.6 on x64 (which was a LENGTHY process
Could you please describe your build environment? I am interested in what
compiler you used and what OS you are running.
- Charlie
On Tue, Oct 14, 2008 at 8:23 PM, Dan Shechter <[EMAIL PROTECTED]> wrote:
> Hi,
> I've successfully compiled NumPy for Python 2.6 on Windows x64 (amd64).
> NumPy seem
Does not exist here:
http://matplotlib.sourceforge.net/doc/html/api/pyplot_api.html
Which is curious, because it's plainly shown (PUNZ!) here:
http://matplotlib.sourceforge.net/doc/html/users/pyplot_tutorial.html
Now here's t3h sex: given the documentation, I kind of expect this to work:
---Pyth
24 matches
Mail list logo
