matplotlib-users Mailing List for matplotlib (Page 6)

Instead of learning VTK, you may find it easier to start with Mayavi 2
(written on VTK).
On Wed, Oct 1, 2014 at 2:27 PM, Fabrice C. <kap...@ya...>
wrote:
> Dear Ben,
>
> Thank you for the explanation. Too bad mplot3d cannot display textured
> polygons.
> I did have a look at glumpy and it does part of what I am looking for.
> However, glumpy does not support being embedded in a wxpython application
> which is a requisite for me.
>
> I guess I just have to learn VTK...
>
> Thanks again,
>
> Fabrice
>
>
> Benjamin Root <ben...@ou...> wrote:
>
> I tried something like this awhile back to no avail. Because of the kludgy
> nature of mplot3d, we are lucky we even can display 2d artists like
> polygons (and, this is me speaking as the de facto maintainer of mplot3d!).
> Images are an entirely different beast, unfortunately.
>
> What *might* work is getting a pcolormesh object converted into 3d. Not
> pcolor (as that is an image-based object), but the QuadMesh object that
> gets returned by pcolormesh(). I haven't tried to convert that into a 3d
> equivalent, but it might be feasible.
>
> I would also check out glumpy: https://code.google.com/p/glumpy/. I could
> have sworn I have seen examples of glumpy treating images as "texture" data
> for surfaces.
>
> I hope this points you in a useful direction!
> Ben Root
>
>
> On Tue, Sep 30, 2014 at 5:54 PM, Fabrice C. <kap...@ya...>
> wrote:
>
>> Dear list,
>>
>> I would like to display a 2D image in a mplot3d axe in order to combine
>> it with a surface3D or a bar3d plot for instance. The effect I am
>> looking for is similar to what can be seen in the bottom XY plane of
>> http://matplotlib.org/1.4.0/examples/mplot3d/contourf3d_demo2.html,
>> except that I would like to have a custom image instead of the filled
>> contours.
>>
>> I googled the subject and found only messages dating at best from 2010.
>> These messages mentioned that the imshow() method did not work on a
>> mplot3d. Indeed it does not.
>> The only alternatives offered by the googled answer to my problem were
>> to switch to VTK or Mayavi. For one thing, I never managed to install
>> VTK on my PC, and I already have other matplotlib figures in my wxpython
>> application so I would really like to stick to matplotlib.
>>
>> Does anyone have pointers as to how I could display a 2D image in
>> mplot3d? Do I need to create a new artist in order to replace the
>> non-functionning imshow?
>> I see that patch collections work fine in mplot3D. Would it be feasible
>> to load an image and have it displayed as a patch collection (1 patch
>> for each pixel)?
>>
>> Any advice would be highly appreciated,
>>
>> Fabrice
>>
>>
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Dear Ben,
Thank you for the explanation. Too bad mplot3d cannot display textured polygons.
I did have a look at glumpy and it does part of what I am looking for. However, glumpy does not support being embedded in a wxpython application which is a requisite for me.
I guess I just have to learn VTK... 
Thanks again,
Fabrice
Benjamin Root <ben...@ou...> wrote:
>I tried something like this awhile back to no avail. Because of the kludgy
>nature of mplot3d, we are lucky we even can display 2d artists like
>polygons (and, this is me speaking as the de facto maintainer of mplot3d!).
>Images are an entirely different beast, unfortunately.
>
>What *might* work is getting a pcolormesh object converted into 3d. Not
>pcolor (as that is an image-based object), but the QuadMesh object that
>gets returned by pcolormesh(). I haven't tried to convert that into a 3d
>equivalent, but it might be feasible.
>
>I would also check out glumpy: https://code.google.com/p/glumpy/. I could
>have sworn I have seen examples of glumpy treating images as "texture" data
>for surfaces.
>
>I hope this points you in a useful direction!
>Ben Root
>
>
>On Tue, Sep 30, 2014 at 5:54 PM, Fabrice C. <kap...@ya...>
>wrote:
>
>> Dear list,
>>
>> I would like to display a 2D image in a mplot3d axe in order to combine
>> it with a surface3D or a bar3d plot for instance. The effect I am
>> looking for is similar to what can be seen in the bottom XY plane of
>> http://matplotlib.org/1.4.0/examples/mplot3d/contourf3d_demo2.html,
>> except that I would like to have a custom image instead of the filled
>> contours.
>>
>> I googled the subject and found only messages dating at best from 2010.
>> These messages mentioned that the imshow() method did not work on a
>> mplot3d. Indeed it does not.
>> The only alternatives offered by the googled answer to my problem were
>> to switch to VTK or Mayavi. For one thing, I never managed to install
>> VTK on my PC, and I already have other matplotlib figures in my wxpython
>> application so I would really like to stick to matplotlib.
>>
>> Does anyone have pointers as to how I could display a 2D image in
>> mplot3d? Do I need to create a new artist in order to replace the
>> non-functionning imshow?
>> I see that patch collections work fine in mplot3D. Would it be feasible
>> to load an image and have it displayed as a patch collection (1 patch
>> for each pixel)?
>>
>> Any advice would be highly appreciated,
>>
>> Fabrice
>>
>>
>> ---
>> This email is free from viruses and malware because avast! Antivirus
>> protection is active.
>> http://www.avast.com
>>
>>
>>
>> ------------------------------------------------------------------------------
>> Meet PCI DSS 3.0 Compliance Requirements with EventLog Analyzer
>> Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS Reports
>> Are you Audit-Ready for PCI DSS 3.0 Compliance? Download White paper
>> Comply to PCI DSS 3.0 Requirement 10 and 11.5 with EventLog Analyzer
>>
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>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>

You mean matplotlib 1.3.1 and numpy 1.8.1, right?--
Paul Hobson
Sorry if this is unintelligible. I'm on my phone.
On Wed, Oct 1, 2014 at 9:36 AM, Steve McAfee <smc...@gm...>
wrote:
> This is really old. It's a readynas from netgear running etch with a bunch
> of backports. It seems that something in numpy or matplotlib changed in the
> last 6 months that caused this. There is a lengthy procedure to getting
> virtualbox running on this config. The instructions for doing this are on
> the readynas forum. I ran through them and they worked 6 months ago, but I
> reinstalled the system for an unrelated reason and when I went back to the
> instructions they wouldn't work at the step to install matplotlib. After I
> realized it was because these versions were updated I got it to work by
> selecting numpy 1.3.1 and matplotlib 1.8.1 which were available (by date)
> the last time it worked.
> Gdb was strange, the calling function showed the meta variable as a
> pointer, but in the failing function it was 0x10. 0x10 happens to be the
> first value in the meta data structure so it seems like a function
> definition or compiler issue. Wierd, but I'm ok running the old version on
> this box that doesn't change very often.
> steve
> On Wed, Oct 1, 2014 at 11:48 AM, Paul Hobson <pmh...@gm...> wrote:
>> Which OS are you on?
>>
>> Before Anaconda, I would use "sudo apt-get build-dep python-matplotlib" to
>> get all of the dependencies and then "sudo python setup.py install" from
>> the matplotlib directory and it would work fine.
>>
>> Now that Anaconda is around, I just "conda create --name=mpldev matplotlib
>> python=3.3" and then "source activate "mpldev" followed by "pip install -e
>> ." from the matplotlib source directory.
>>
>> On Wed, Oct 1, 2014 at 6:40 AM, Steve <smc...@gm...> wrote:
>>
>>> I had installed these a couple of months ago successfully so I tried
>>> versions
>>> from that timeframe (numby 1.3.1 and matplotlib 1.8.1) and that worked
>>> fine.
>>>
>>> FWIW with the latest versions the crash was at line 1965 of datetime.c.
>>> The
>>> meta variable was not a pointer. It was actually the value of the first
>>> member of the meta variable passed in by the calling function. I'm using
>>> gcc
>>> 4.1.1.
>>>
>>> steve
>>>
>>>
>>>
>>> --
>>> View this message in context:
>>> http://matplotlib.1069221.n5.nabble.com/seg-fault-installing-tp44049p44050.html
>>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>>
>>>
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>>> _______________________________________________
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>>> Mat...@li...
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>>>
>>
>>

Hi all guys,
I am trying for a while to set width of the legend box to constant value,
independent of the text inside. So far I tried with following approach:
l1.get_frame().set_width(2.0)
where l1 is object of legend type. After this line nothing actually
happens. I was also not able to find the solution on the web. Is there any
suggestion how to solve this?
Thanx and chhers
-- 
Nemanja Savić

I had installed these a couple of months ago successfully so I tried versions
from that timeframe (numby 1.3.1 and matplotlib 1.8.1) and that worked fine. 
FWIW with the latest versions the crash was at line 1965 of datetime.c. The
meta variable was not a pointer. It was actually the value of the first
member of the meta variable passed in by the calling function. I'm using gcc
4.1.1.
steve
--
View this message in context: http://matplotlib.1069221.n5.nabble.com/seg-fault-installing-tp44049p44050.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

I'm using pip but even without it when I run setup.py build or setup.py
install in the matplotlib directory I get a segfault early in the run. If I
trace it, the seg fault is shortly after numbers.pyc is loaded from numpy,
but even if I uninstall numpy I still get a segfault when I try to install
mapplotlib. Only matplotlib has this issue. Other packages can uninstall
and reinstall fine.
steve
# pip install matplotlib
Downloading/unpacking matplotlib
 Downloading matplotlib-1.4.0.tar.gz (51.2MB): 51.2MB downloaded
 Running setup.py (path:/tmp/pip_build_root/matplotlib/setup.py) egg_info
for package matplotlib
 Downloading
http://pypi.python.org/packages/source/d/distribute/distribute-0.6.28.tar.gz
 Extracting in /tmp/tmp6VPGqi
 Now working in /tmp/tmp6VPGqi/distribute-0.6.28
 Building a Distribute egg in /tmp/pip_build_root/matplotlib
 /tmp/pip_build_root/matplotlib/distribute-0.6.28-py2.7.egg
 Complete output from command python setup.py egg_info:
 Downloading
http://pypi.python.org/packages/source/d/distribute/distribute-0.6.28.tar.gz
Extracting in /tmp/tmp6VPGqi
Now working in /tmp/tmp6VPGqi/distribute-0.6.28
Building a Distribute egg in /tmp/pip_build_root/matplotlib
/tmp/pip_build_root/matplotlib/distribute-0.6.28-py2.7.egg
----------------------------------------
Cleaning up...
Command python setup.py egg_info failed with error code -11 in
/tmp/pip_build_root/matplotlib
Storing debug log for failure in /root/.pip/pip.log
# tail -20 /root/.pip/pip.log
/tmp/pip_build_root/matplotlib/distribute-0.6.28-py2.7.egg
----------------------------------------
Cleaning up...
 Removing temporary dir /tmp/pip_build_root...
Command python setup.py egg_info failed with error code -11 in
/tmp/pip_build_root/matplotlib
Exception information:
Traceback (most recent call last):
 File "/usr/local/lib/python2.7/site-packages/pip/basecommand.py", line
122, in main
 status = self.run(options, args)
 File "/usr/local/lib/python2.7/site-packages/pip/commands/install.py",
line 278, in run
 requirement_set.prepare_files(finder, force_root_egg_info=self.bundle,
bundle=self.bundle)
 File "/usr/local/lib/python2.7/site-packages/pip/req.py", line 1229, in
prepare_files
 req_to_install.run_egg_info()
 File "/usr/local/lib/python2.7/site-packages/pip/req.py", line 325, in
run_egg_info
 command_desc='python setup.py egg_info')
 File "/usr/local/lib/python2.7/site-packages/pip/util.py", line 697, in
call_subprocess
 % (command_desc, proc.returncode, cwd))
InstallationError: Command python setup.py egg_info failed with error code
-11 in /tmp/pip_build_root/matplotlib

I tried something like this awhile back to no avail. Because of the kludgy
nature of mplot3d, we are lucky we even can display 2d artists like
polygons (and, this is me speaking as the de facto maintainer of mplot3d!).
Images are an entirely different beast, unfortunately.
What *might* work is getting a pcolormesh object converted into 3d. Not
pcolor (as that is an image-based object), but the QuadMesh object that
gets returned by pcolormesh(). I haven't tried to convert that into a 3d
equivalent, but it might be feasible.
I would also check out glumpy: https://code.google.com/p/glumpy/. I could
have sworn I have seen examples of glumpy treating images as "texture" data
for surfaces.
I hope this points you in a useful direction!
Ben Root
On Tue, Sep 30, 2014 at 5:54 PM, Fabrice C. <kap...@ya...>
wrote:
> Dear list,
>
> I would like to display a 2D image in a mplot3d axe in order to combine
> it with a surface3D or a bar3d plot for instance. The effect I am
> looking for is similar to what can be seen in the bottom XY plane of
> http://matplotlib.org/1.4.0/examples/mplot3d/contourf3d_demo2.html,
> except that I would like to have a custom image instead of the filled
> contours.
>
> I googled the subject and found only messages dating at best from 2010.
> These messages mentioned that the imshow() method did not work on a
> mplot3d. Indeed it does not.
> The only alternatives offered by the googled answer to my problem were
> to switch to VTK or Mayavi. For one thing, I never managed to install
> VTK on my PC, and I already have other matplotlib figures in my wxpython
> application so I would really like to stick to matplotlib.
>
> Does anyone have pointers as to how I could display a 2D image in
> mplot3d? Do I need to create a new artist in order to replace the
> non-functionning imshow?
> I see that patch collections work fine in mplot3D. Would it be feasible
> to load an image and have it displayed as a patch collection (1 patch
> for each pixel)?
>
> Any advice would be highly appreciated,
>
> Fabrice
>
>
> ---
> This email is free from viruses and malware because avast! Antivirus
> protection is active.
> http://www.avast.com
>
>
>
> ------------------------------------------------------------------------------
> Meet PCI DSS 3.0 Compliance Requirements with EventLog Analyzer
> Achieve PCI DSS 3.0 Compliant Status with Out-of-the-box PCI DSS Reports
> Are you Audit-Ready for PCI DSS 3.0 Compliance? Download White paper
> Comply to PCI DSS 3.0 Requirement 10 and 11.5 with EventLog Analyzer
>
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> _______________________________________________
> Matplotlib-users mailing list
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>