Hi all,
I'm having a problem with resizing a FigureCanvas using the Qt4 backend when
the FigureCanvas is used alongside some dock widgets. What happens is that
the figure never grows beyond the original size set when the window or other
dock widgets are expanded. It's probably easier to look at
Le mercredi 01 juillet 2009 à 10:13 +0200, Sandro Tosi a écrit :
> On Tue, Jun 30, 2009 at 14:12, Fabrice Silva wrote:
> > Le lundi 29 juin 2009 à 16:11 -0400, Jae-Joon Lee a écrit :
> >> In the svn version of matplotlib, there are some helper classes to
> >> ease this job a bit.
> > Thanks for you
Hi,
I am thinking about a plotting problem with the data set like this:
[3,2,4,100,5]
If I plot this list, then 100 will be very high and 3, 2, 4 and 5 will be
almost near 0. So, can I use a discontinued Y-axis, which has two ranges,
from 0 to 10 and from 90 to 110. Of course, there needs a tear
Alexandar Hansen wrote:
> Hello,
>
> I've been struggling with this for a while now and have effectively
> two issues. One, how can I define the range over which hexbin ...
> bins? And two, how do I change the background color of a plot?
Alexandar: To change the background color to the lowest v
Hi,
I just downloaded matplotlib-0.98.5.3.win32-py2.6.exe from sourceforge.
I have an existing Application that works fine with
python : 2.5.4 final 0
pyGTK: 2.12.1
GTK+ : 2.14.7
numpy: 1.2.1
matplotlib : 0.98.5.2
Now I am trying the same App on
python version
As usual, I ended up figuring this out after I sent this question.
The trick was adding the central widget (FigureCanvas) to a QLayout, and
just ignoring the resizeEvent. So, I just did:
vbox = QVBoxLayout()
vbox.addWidget(self.canvas)
self.setLayout(vbox)
in the custom QWidget which holds the
Hi,
I am working on a PyQt4 application with some embedded MPL figures, and am
also trying to save some figures as png's without displaying them. I am
observing huge memory increases (10s or 100s of Mb) the moment I try to save
a png. I reproduced the issue by combining two mpl examples,
http://ma
On Wed, Jul 1, 2009 at 3:25 PM, David Paulsen wrote:
> Script passed the previous error point, and a different error string this
> time:
>
> File "3D_line_plot_ex.py", line 32, in
> ax.add_collection3d(poly, zs=zs, zdir='y')
>
> File
> "/Library/Frameworks/Python.framework/Versions/4.2.30201/
This should now be fixed on the maintenance branch and trunk. A Numpy
array allocation was not being NULL-checked in _path.cpp:affine_transform.
I know a MemoryError doesn't help the user much more than a segfault,
but it always makes me feel better to get a real Python exception rather
than
I tracked this down do line 962 of the _path.cpp.
double* vertex_out = (double*)PyArray_DATA(result);
My guess is that PyArray_SimpleNew at line 957 returns NULL for a
memory error instead of raising an exception, which makes result=NULL
and causes a segfault at line 962.
Since I'm n
On Wed, Jul 1, 2009 at 2:34 PM, Michael Droettboom wrote:
> I agree with Jae-Joon here -- try to reduce the number of points before
> passing it to matplotlib.
>
> However, I'm a little concerned about the segfault -- I'd rather matplotlib
> give a MemoryError exception if that's in fact what is ha
I agree with Jae-Joon here -- try to reduce the number of points before
passing it to matplotlib.
However, I'm a little concerned about the segfault -- I'd rather
matplotlib give a MemoryError exception if that's in fact what is
happening. Jae-Joon -- can you share your test that causes the s
A snippet of code does not help much.
Please try to post a small concise standalone example that we can run and test.
A general advise is to try to reduce the number of plot call, i.e.,
plot as may points as possible with a single plot call.
However, 50million points seems to be awful a lot.
6 i
yscale("log")
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.yscale
However the bars in the stem plot will be gone (because of the log 0).
It seems that there is no option for controling the baseline location
in the stem command.
However, the code for stem command is qui
On Wed, Jul 1, 2009 at 9:55 AM, David Paulsen wrote:
> Dear List,
>
> I tried running examples of 3D plots given from the matplotlib webpage, but
> encountered the following error:
>
>
> from mpl_toolkits.mplot3d import Axes3D
> ImportError: No module named mplot3d
>
> I am using the enthought
> I think what you want is
>
> ax = fig.add_subplot(111,frameon=False)
>
> JLS
D'oh, I knew it had to be easy. Thanks JLS.
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On Wed, Jul 1, 2009 at 16:55, David Paulsen wrote:
> from mpl_toolkits.mplot3d import Axes3D
> ImportError: No module named mplot3d
>
> I am using the enthought package with matplotlib version 0.98.5.2
>
> Any help on how to recover mplot 3d would be appreciated.
mplot3d still lives only under
Mark Larsen wrote:
> Hopefully a really simple question. How do I remove the "box" (the
> black rectangle) around the plot.
>
> I tried
>
> ax = fig.add_subplot(111)
> ax.patch.set_visible(False)
>
> but this makes the entire patch invisible.
>
> Thanks,
>
> Mark
>
>
Dear List,
I tried running examples of 3D plots given from the matplotlib webpage, but
encountered the following error:
from mpl_toolkits.mplot3d import Axes3D
ImportError: No module named mplot3d
I am using the enthought package with matplotlib version 0.98.5.2
Any help on how to recover
Hopefully a really simple question. How do I remove the "box" (the
black rectangle) around the plot.
I tried
ax = fig.add_subplot(111)
ax.patch.set_visible(False)
but this makes the entire patch invisible.
Thanks,
Mark
-
Him
I had a stem plot. Now I want to make the Y axis of log scale. But I do not
want to use semilogy since I prefer the bars in stem plot. Do you know how
to only scale the Y axis?
Cheers,
Forrest
Forrest Sheng Bao, BSEE, Graduate Student
Dept. of Computer Science/Electrical Engineering
Texas Te
Hallöchen!
I have a grid in my plot, but additionally I'd like to highlight the
"zero" axes, where x=0 or y=0, e.g. by showing them in red, or with
thicker lines. How is this possible?
Tschö,
Torsten.
--
Torsten Bronger, aquisgrana, europa vetus
Jabber ID: torsten.bron...@ja
On Tue, Jun 30, 2009 at 14:12, Fabrice Silva wrote:
> Le lundi 29 juin 2009 à 16:11 -0400, Jae-Joon Lee a écrit :
>> In the svn version of matplotlib, there are some helper classes to
>> ease this job a bit.
> Thanks for your pointer. Sadly the mpl.toolkits.axes_grid is not shipped
> by debian pack
Hi,
On Mon, Jun 1, 2009 at 10:20 PM, Fernando Perez wrote:
> The time for the Scipy'09 conference is rapidly approaching, and we
> would like to both announce the plan for tutorials and solicit
> feedback from everyone on topics of interest.
rather than rehash much here, where it's not easy to pa
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