matplotlib-users Mailing List for matplotlib (Page 49)

That's too bad. Faulthandler is limited on windows systems, but I was
hoping it would give us something.

Anyway, I looked at the error log again (I didn't see anything relevant the
first time), and I noticed the following:

LoadedModule[5]=C:\WINDOWS\WinSxS\amd64_microsoft.vc90.crt_1fc8b3b9a1e18e3b_9.0.30729.8387_none_08e793bfa83a89b5\MSVCR90.dll

Two things the caught my eye about this line. First of all, just about
everything else appears to be 32-bit, but this might be 64-bit (maybe, I am
guessing). Also, (and I am a long time removed from development work on
Windows), I don't recall this directory for stock installs. Did you build
any part of your anaconda stack yourself? Or did everything come pre-built
through the normal anaconda channels?

Ben Root


On Tue, Nov 18, 2014 at 12:04 PM, Geoffrey Mégardon <
geo...@gm...> wrote:

> I tried that:
>
> from mpl_toolkits.mplot3d import axes3d
> import matplotlib
> import matplotlib.pyplot as plt
> import faulthandler
> import os
>
> print os.getcwd()
> #with open("./error-log.txt", "wb") as f:
> #    faulthandler.enable(f)
> faulthandler.enable()
>
> fig = plt.figure()
> ax = fig.add_subplot(111, projection='3d')
> X, Y, Z = axes3d.get_test_data(0.05)
> cset = ax.contour(X, Y, Z)
> ax.clabel(cset, fontsize=9, inline=1)
>
> plt.show()
>
> And I don't get any error, even if it still crashes :)
>
> Do you have an idea to make the faulthandler able to catch the errors?
> Did you received the Windows error log/traceback I sent you? I think it is
> the most detailed traceback we have for now.
>
>
> On 15 November 2014 09:50, Benjamin Root <ben...@ou...> wrote:
>
>> I was waiting for the results from using faulthandler. It is very easy to
>> use, and I think it will be very illuminating.
>>
>> Ben Root
>>
>> On Sat, Nov 15, 2014 at 8:50 AM, Geoffrey Mégardon <
>> geo...@gm...> wrote:
>>
>>> So, are there new ideas about this problem?
>>> My case seems quite rare :/
>>>
>>> On 13 November 2014 17:46, Geoffrey Mégardon <
>>> geo...@gm...> wrote:
>>>
>>>> sorry to double post,
>>>>
>>>> I don't know if it is linked but Pycharms complains about Skeleton
>>>> Generation Problems, among the errors there is one which has matplotlib
>>>> inside:
>>>>
>>>> *Failed modules*
>>>> Python 2.7.8 (C:\Anaconda\python.exe)
>>>> dde
>>>> matplotlib._cntr
>>>> win32ui
>>>> win32uiole
>>>> Generation of skeletons for the modules above will be tried again when
>>>> the modules are updated or a new version of generator is available
>>>>
>>>> On 13 November 2014 17:35, Geoffrey Mégardon <
>>>> geo...@gm...> wrote:
>>>>
>>>>> I will have a look to faulthandler but I never used it before.
>>>>>
>>>>> To use savefig() leads to the same crash.
>>>>>
>>>>> The two first examples on this pages work fine:
>>>>> http://matplotlib.org/mpl_toolkits/axes_grid/users/overview.html
>>>>>
>>>>> The first example from:
>>>>> http://matplotlib.org/basemap/users/examples.html
>>>>> send back an error telling I do not have a module Basemap:
>>>>> Traceback (most recent call last):
>>>>>   File "C:\Users\User\Google Drive\Work\tryAxesGrid.py", line 1, in
>>>>> <module>
>>>>>     from mpl_toolkits.basemap import Basemap
>>>>> ImportError: No module named basemap
>>>>>
>>>>> Here the previously cited traceback provided by windows 8.1:
>>>>>
>>>>> Version=1
>>>>> EventType=APPCRASH
>>>>> EventTime=130603719401981342
>>>>> ReportType=2
>>>>> Consent=1
>>>>> UploadTime=130603719404121474
>>>>> ReportIdentifier=4a8084e1-6b57-11e4-bebc-48d22435da2b
>>>>> IntegratorReportIdentifier=4a8084e0-6b57-11e4-bebc-48d22435da2b
>>>>> NsAppName=python.exe
>>>>> Response.type=4
>>>>> Sig[0].Name=Application Name
>>>>> Sig[0].Value=python.exe
>>>>> Sig[1].Name=Application Version
>>>>> Sig[1].Value=0.0.0.0
>>>>> Sig[2].Name=Application Timestamp
>>>>> Sig[2].Value=53b4679e
>>>>> Sig[3].Name=Fault Module Name
>>>>> Sig[3].Value=_dotblas.pyd
>>>>> Sig[4].Name=Fault Module Version
>>>>> Sig[4].Value=0.0.0.0
>>>>> Sig[5].Name=Fault Module Timestamp
>>>>> Sig[5].Value=545678cb
>>>>> Sig[6].Name=Exception Code
>>>>> Sig[6].Value=c000001d
>>>>> Sig[7].Name=Exception Offset
>>>>> Sig[7].Value=0000000000324022
>>>>> DynamicSig[1].Name=OS Version
>>>>> DynamicSig[1].Value=6.3.9600.2.0.0.768.101
>>>>> DynamicSig[2].Name=Locale ID
>>>>> DynamicSig[2].Value=2057
>>>>> DynamicSig[22].Name=Additional Information 1
>>>>> DynamicSig[22].Value=00a8
>>>>> DynamicSig[23].Name=Additional Information 2
>>>>> DynamicSig[23].Value=00a81cae033b06467abfa2fb5dae54f2
>>>>> DynamicSig[24].Name=Additional Information 3
>>>>> DynamicSig[24].Value=bca9
>>>>> DynamicSig[25].Name=Additional Information 4
>>>>> DynamicSig[25].Value=bca99a98a9c8e88898e6500171ba1359
>>>>> UI[2]=C:\Users\User\Anaconda\python.exe
>>>>> UI[3]=python.exe has stopped working
>>>>> UI[4]=Windows can check online for a solution to the problem.
>>>>> UI[5]=Check online for a solution and close the program
>>>>> UI[6]=Check online for a solution later and close the program
>>>>> UI[7]=Close the program
>>>>> LoadedModule[0]=C:\Users\User\Anaconda\python.exe
>>>>> LoadedModule[1]=C:\WINDOWS\SYSTEM32\ntdll.dll
>>>>> LoadedModule[2]=C:\WINDOWS\system32\KERNEL32.DLL
>>>>> LoadedModule[3]=C:\WINDOWS\system32\KERNELBASE.dll
>>>>> LoadedModule[4]=C:\Users\User\Anaconda\python27.dll
>>>>>
>>>>> LoadedModule[5]=C:\WINDOWS\WinSxS\amd64_microsoft.vc90.crt_1fc8b3b9a1e18e3b_9.0.30729.8387_none_08e793bfa83a89b5\MSVCR90.dll
>>>>> LoadedModule[6]=C:\WINDOWS\system32\USER32.dll
>>>>> LoadedModule[7]=C:\WINDOWS\system32\ADVAPI32.dll
>>>>> LoadedModule[8]=C:\WINDOWS\system32\SHELL32.dll
>>>>> LoadedModule[9]=C:\WINDOWS\system32\GDI32.dll
>>>>> LoadedModule[10]=C:\WINDOWS\system32\msvcrt.dll
>>>>> LoadedModule[11]=C:\WINDOWS\SYSTEM32\sechost.dll
>>>>> LoadedModule[12]=C:\WINDOWS\system32\RPCRT4.dll
>>>>> LoadedModule[13]=C:\WINDOWS\SYSTEM32\combase.dll
>>>>> LoadedModule[14]=C:\WINDOWS\system32\SHLWAPI.dll
>>>>> LoadedModule[15]=C:\WINDOWS\system32\IMM32.DLL
>>>>> LoadedModule[16]=C:\WINDOWS\system32\MSCTF.dll
>>>>> LoadedModule[17]=C:\Users\User\Anaconda\DLLs\_hashlib.pyd
>>>>> LoadedModule[18]=C:\WINDOWS\SYSTEM32\CRYPTSP.dll
>>>>> LoadedModule[19]=C:\WINDOWS\system32\rsaenh.dll
>>>>> LoadedModule[20]=C:\WINDOWS\SYSTEM32\bcrypt.dll
>>>>> LoadedModule[21]=C:\WINDOWS\SYSTEM32\CRYPTBASE.dll
>>>>> LoadedModule[22]=C:\WINDOWS\SYSTEM32\bcryptPrimitives.dll
>>>>> LoadedModule[23]=C:\Users\User\Anaconda\DLLs\_socket.pyd
>>>>> LoadedModule[24]=C:\WINDOWS\system32\WS2_32.dll
>>>>> LoadedModule[25]=C:\WINDOWS\system32\NSI.dll
>>>>> LoadedModule[26]=C:\Users\User\Anaconda\DLLs\_ssl.pyd
>>>>>
>>>>> LoadedModule[27]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\multiarray.pyd
>>>>>
>>>>> LoadedModule[28]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\umath.pyd
>>>>>
>>>>> LoadedModule[29]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\_dotblas.pyd
>>>>>
>>>>> LoadedModule[30]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\libiomp5md.dll
>>>>>
>>>>> LoadedModule[31]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\scalarmath.pyd
>>>>>
>>>>> LoadedModule[32]=C:\Users\User\Anaconda\lib\site-packages\numpy\lib\_compiled_base.pyd
>>>>>
>>>>> LoadedModule[33]=C:\Users\User\Anaconda\lib\site-packages\numpy\linalg\lapack_lite.pyd
>>>>>
>>>>> LoadedModule[34]=C:\Users\User\Anaconda\lib\site-packages\numpy\linalg\_umath_linalg.pyd
>>>>>
>>>>> LoadedModule[35]=C:\Users\User\Anaconda\lib\site-packages\numpy\fft\fftpack_lite.pyd
>>>>>
>>>>> LoadedModule[36]=C:\Users\User\Anaconda\lib\site-packages\numpy\random\mtrand.pyd
>>>>> LoadedModule[37]=C:\Users\User\Anaconda\DLLs\_ctypes.pyd
>>>>> LoadedModule[38]=C:\WINDOWS\system32\ole32.dll
>>>>> LoadedModule[39]=C:\WINDOWS\system32\OLEAUT32.dll
>>>>>
>>>>> LoadedModule[40]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_path.pyd
>>>>>
>>>>> LoadedModule[41]=C:\WINDOWS\WinSxS\amd64_microsoft.vc90.crt_1fc8b3b9a1e18e3b_9.0.30729.8387_none_08e793bfa83a89b5\MSVCP90.dll
>>>>>
>>>>> LoadedModule[42]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\ft2font.pyd
>>>>> LoadedModule[43]=C:\Users\User\Anaconda\DLLs\unicodedata.pyd
>>>>>
>>>>> LoadedModule[44]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_png.pyd
>>>>> LoadedModule[45]=C:\Users\User\Anaconda\DLLs\_tkinter.pyd
>>>>> LoadedModule[46]=C:\Users\User\Anaconda\DLLs\tcl85.dll
>>>>> LoadedModule[47]=C:\Users\User\Anaconda\DLLs\tk85.dll
>>>>> LoadedModule[48]=C:\WINDOWS\system32\COMDLG32.dll
>>>>>
>>>>> LoadedModule[49]=C:\WINDOWS\WinSxS\amd64_microsoft.windows.common-controls_6595b64144ccf1df_5.82.9600.16384_none_34a8918f959016ea\COMCTL32.dll
>>>>> LoadedModule[50]=C:\WINDOWS\SYSTEM32\SHCORE.DLL
>>>>>
>>>>> LoadedModule[51]=C:\Users\User\Anaconda\lib\site-packages\PIL\_imaging.pyd
>>>>>
>>>>> LoadedModule[52]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_cntr.pyd
>>>>>
>>>>> LoadedModule[53]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_image.pyd
>>>>>
>>>>> LoadedModule[54]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_tri.pyd
>>>>>
>>>>> LoadedModule[55]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_qhull.pyd
>>>>>
>>>>> LoadedModule[56]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\backends\_backend_agg.pyd
>>>>> LoadedModule[57]=C:\Users\User\Anaconda\lib\site-packages\sip.pyd
>>>>>
>>>>> LoadedModule[58]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtCore.pyd
>>>>>
>>>>> LoadedModule[59]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtCore4.dll
>>>>>
>>>>> LoadedModule[60]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtGui.pyd
>>>>>
>>>>> LoadedModule[61]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtGui4.dll
>>>>> LoadedModule[62]=C:\WINDOWS\SYSTEM32\WINMM.dll
>>>>> LoadedModule[63]=C:\WINDOWS\SYSTEM32\WINSPOOL.DRV
>>>>> LoadedModule[64]=C:\WINDOWS\SYSTEM32\WINMMBASE.dll
>>>>> LoadedModule[65]=C:\WINDOWS\SYSTEM32\cfgmgr32.dll
>>>>> LoadedModule[66]=C:\WINDOWS\SYSTEM32\DEVOBJ.dll
>>>>> LoadedModule[67]=C:\WINDOWS\system32\uxtheme.dll
>>>>> LoadedModule[68]=C:\WINDOWS\system32\dwmapi.dll
>>>>> LoadedModule[69]=C:\WINDOWS\SYSTEM32\kernel.appcore.dll
>>>>> FriendlyEventName=Stopped working
>>>>> ConsentKey=APPCRASH
>>>>> AppName=python.exe
>>>>> AppPath=C:\Users\User\Anaconda\python.exe
>>>>> NsPartner=windows
>>>>> NsGroup=windows8
>>>>> ApplicationIdentity=5B036AF1EC2E20F320DBF28D119DE93D
>>>>>
>>>>> On 13 November 2014 17:05, Benjamin Root <ben...@ou...> wrote:
>>>>>
>>>>>> Yeah, I am at a real loss here. Can you try one of the axes_grid1
>>>>>> examples? Also, how about the basemap examples? Those are both mpl_toolkit
>>>>>> packages as well and might behave similarly. Also, it would be interesting
>>>>>> to figure out at exactly which step the failure happens. There is a package
>>>>>> called "faulthandler" that is really useful for that:
>>>>>> http://faulthandler.readthedocs.org/en/latest/ It is a bit limited
>>>>>> on Windows, but it is better than nothing.
>>>>>> Also, does it fail regardless if you are doing savefig() or show()?
>>>>>>
>>>>>> Unfortunately, the "traceback" info you provided doesn't seem to be
>>>>>> encoded properly (or at least, not auto-detectable).
>>>>>>
>>>>>> Ben Root
>>>>>>
>>>>>> On Thu, Nov 13, 2014 at 4:57 PM, Geoffrey Mégardon <
>>>>>> geo...@gm...> wrote:
>>>>>>
>>>>>>> That returns:
>>>>>>> C:\Anaconda\lib\site-packages\matplotlib\__init__.pyc
>>>>>>> C:\Anaconda\lib\site-packages\mpl_toolkits\mplot3d\__init__.pyc
>>>>>>>
>>>>>>> On 13 November 2014 16:40, Benjamin Root <ben...@ou...> wrote:
>>>>>>>
>>>>>>>> No OpenGL. The 3d graphics all goes through the same layering
>>>>>>>> engine as the 2D plots. They aren't real 3D plots but rather what I like to
>>>>>>>> call "2.1D" plots. A single point of a 3D element is chosen to determine
>>>>>>>> how to layer it with everything else. So, it is very easy to get
>>>>>>>> visualization artifacts, especially with polygons.
>>>>>>>>
>>>>>>>> Do this from python:
>>>>>>>>
>>>>>>>> import matplotlib
>>>>>>>> import mpl_toolkits.mplot3d
>>>>>>>> print matplotlib.__file__
>>>>>>>> print mpl_toolkits.mplot3d.__file__
>>>>>>>>
>>>>>>>> And tell us what that returns.
>>>>>>>>
>>>>>>>> Cheers!
>>>>>>>> Ben Root
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> On Thu, Nov 13, 2014 at 3:49 PM, Paul Hobson <pmh...@gm...>
>>>>>>>> wrote:
>>>>>>>>
>>>>>>>>> No clue about that. BTW, I'll i was suggestion was to create a new
>>>>>>>>> conda enviorment:
>>>>>>>>> > conda create --name=mpl3dtest matplotlib ipython-notebook
>>>>>>>>> python=3.4
>>>>>>>>> ...
>>>>>>>>> > activate mpl3dtest
>>>>>>>>> > ipython notebook
>>>>>>>>> > [test out 3d plotting]
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> On Thu, Nov 13, 2014 at 12:44 PM, Geoffrey Mégardon <
>>>>>>>>> geo...@gm...> wrote:
>>>>>>>>>
>>>>>>>>>> I uninstall and reinstall Anaconda.
>>>>>>>>>> That still does not work :/
>>>>>>>>>> Is it possible there is like OpenGL problem, graphic card driver
>>>>>>>>>> problem, or something linked to  displaying 3d?
>>>>>>>>>>
>>>>>>>>>> On 13 November 2014 13:32, Paul Hobson <pmh...@gm...>
>>>>>>>>>> wrote:
>>>>>>>>>>
>>>>>>>>>>> Does a fresh conda environment help?
>>>>>>>>>>>
>>>>>>>>>>> On Wed, Nov 12, 2014 at 5:38 PM, Geoffrey Mégardon <
>>>>>>>>>>> geo...@gm...> wrote:
>>>>>>>>>>>
>>>>>>>>>>>> Yes, I may forget to tell, but this code is 100% working, it
>>>>>>>>>>>> work on other installations I have. So the problem is not in the code.
>>>>>>>>>>>>
>>>>>>>>>>>> It is just that on my current laptop, I don't know why, this
>>>>>>>>>>>> code, which tries to display a 3d plot, leads to a crash.
>>>>>>>>>>>> Note that 2D plots work fine on their side.
>>>>>>>>>>>>
>>>>>>>>>>>> I have an other PC on windows 8.1, and everything work fine on
>>>>>>>>>>>> it, I installed the same Anaconda 64-bit version.
>>>>>>>>>>>>
>>>>>>>>>>>> So it is something to do with my environment, but it is not
>>>>>>>>>>>> linked to the OS itself, and it is linked with 3D displaying only I would
>>>>>>>>>>>> say.
>>>>>>>>>>>>
>>>>>>>>>>>> Any idea? :)
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> On 12 November 2014 18:44, Jerzy Karczmarczuk <
>>>>>>>>>>>> jer...@un...> wrote:
>>>>>>>>>>>>
>>>>>>>>>>>>>
>>>>>>>>>>>>> Le 13/11/2014 00:13, Geoffrey Mégardon a écrit :
>>>>>>>>>>>>>
>>>>>>>>>>>>> ...
>>>>>>>>>>>>>
>>>>>>>>>>>>>>     But to create the 3D axes, to draw in it, and then to
>>>>>>>>>>>>>>> show the figure, that crashes:
>>>>>>>>>>>>>>>  from mpl_toolkits.mplot3d import axes3d
>>>>>>>>>>>>>>> import matplotlib
>>>>>>>>>>>>>>> matplotlib.use("agg")
>>>>>>>>>>>>>>> import matplotlib.pyplot as plt
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> fig = plt.figure()
>>>>>>>>>>>>>>> ax = fig.add_subplot(111, projection='3d')
>>>>>>>>>>>>>>> X, Y, Z = axes3d.get_test_data(0.05)
>>>>>>>>>>>>>>> cset = ax.contour(X, Y, Z)
>>>>>>>>>>>>>>> ax.clabel(cset, fontsize=9, inline=1)
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> plt.show()
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>> Basically on iPython QT console I would get an error like:
>>>>>>>>>>>>>>> ""Kernel died, restarting""
>>>>>>>>>>>>>>>
>>>>>>>>>>>>>>    Perhaps it is your environment, not Matplotlib.
>>>>>>>>>>>>> A copy-paste of this program run without problems on my
>>>>>>>>>>>>> system.
>>>>>>>>>>>>> Anaconda 64 bits, IPython console (within Spyder).
>>>>>>>>>>>>> But *Windows 7*, not 8.
>>>>>>>>>>>>>
>>>>>>>>>>>>> Jerzy Karczmarczuk
>>>>>>>>>>>>>
>>>>>>>>>>>>>
>>>>>>>>>>>>> ------------------------------------------------------------------------------
>>>>>>>>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>>>>>>>>> Monitor 10 servers for $9/Month.
>>>>>>>>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>>>>>>>>> notifications.
>>>>>>>>>>>>> Take corrective actions from your mobile device.
>>>>>>>>>>>>>
>>>>>>>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>>>>>>>>> _______________________________________________
>>>>>>>>>>>>> Matplotlib-users mailing list
>>>>>>>>>>>>> Mat...@li...
>>>>>>>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>>>>>>>
>>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> --
>>>>>>>>>>>> --
>>>>>>>>>>>> MEGARDON Geoffrey
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> ------------------------------------------------------------------------------
>>>>>>>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>>>>>>>> Monitor 10 servers for $9/Month.
>>>>>>>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>>>>>>>> notifications.
>>>>>>>>>>>> Take corrective actions from your mobile device.
>>>>>>>>>>>>
>>>>>>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>>>>>>>> _______________________________________________
>>>>>>>>>>>> Matplotlib-users mailing list
>>>>>>>>>>>> Mat...@li...
>>>>>>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> --
>>>>>>>>>> --
>>>>>>>>>> MEGARDON Geoffrey
>>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> ------------------------------------------------------------------------------
>>>>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>>>>> Monitor 10 servers for $9/Month.
>>>>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>>>>> notifications.
>>>>>>>>> Take corrective actions from your mobile device.
>>>>>>>>>
>>>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>>>>> _______________________________________________
>>>>>>>>> Matplotlib-users mailing list
>>>>>>>>> Mat...@li...
>>>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>>>
>>>>>>>>>
>>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> --
>>>>>>> --
>>>>>>> MEGARDON Geoffrey
>>>>>>>
>>>>>>
>>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> --
>>>>> MEGARDON Geoffrey
>>>>>
>>>>
>>>>
>>>>
>>>> --
>>>> --
>>>> MEGARDON Geoffrey
>>>>
>>>
>>>
>>>
>>> --
>>> --
>>> MEGARDON Geoffrey
>>>
>>
>>
>
>
> --
> --
> MEGARDON Geoffrey
>

I tried that:

from mpl_toolkits.mplot3d import axes3d
import matplotlib
import matplotlib.pyplot as plt
import faulthandler
import os

print os.getcwd()
#with open("./error-log.txt", "wb") as f:
#    faulthandler.enable(f)
faulthandler.enable()

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
X, Y, Z = axes3d.get_test_data(0.05)
cset = ax.contour(X, Y, Z)
ax.clabel(cset, fontsize=9, inline=1)

plt.show()

And I don't get any error, even if it still crashes :)

Do you have an idea to make the faulthandler able to catch the errors?
Did you received the Windows error log/traceback I sent you? I think it is
the most detailed traceback we have for now.


On 15 November 2014 09:50, Benjamin Root <ben...@ou...> wrote:

> I was waiting for the results from using faulthandler. It is very easy to
> use, and I think it will be very illuminating.
>
> Ben Root
>
> On Sat, Nov 15, 2014 at 8:50 AM, Geoffrey Mégardon <
> geo...@gm...> wrote:
>
>> So, are there new ideas about this problem?
>> My case seems quite rare :/
>>
>> On 13 November 2014 17:46, Geoffrey Mégardon <geo...@gm...
>> > wrote:
>>
>>> sorry to double post,
>>>
>>> I don't know if it is linked but Pycharms complains about Skeleton
>>> Generation Problems, among the errors there is one which has matplotlib
>>> inside:
>>>
>>> *Failed modules*
>>> Python 2.7.8 (C:\Anaconda\python.exe)
>>> dde
>>> matplotlib._cntr
>>> win32ui
>>> win32uiole
>>> Generation of skeletons for the modules above will be tried again when
>>> the modules are updated or a new version of generator is available
>>>
>>> On 13 November 2014 17:35, Geoffrey Mégardon <
>>> geo...@gm...> wrote:
>>>
>>>> I will have a look to faulthandler but I never used it before.
>>>>
>>>> To use savefig() leads to the same crash.
>>>>
>>>> The two first examples on this pages work fine:
>>>> http://matplotlib.org/mpl_toolkits/axes_grid/users/overview.html
>>>>
>>>> The first example from:
>>>> http://matplotlib.org/basemap/users/examples.html
>>>> send back an error telling I do not have a module Basemap:
>>>> Traceback (most recent call last):
>>>>   File "C:\Users\User\Google Drive\Work\tryAxesGrid.py", line 1, in
>>>> <module>
>>>>     from mpl_toolkits.basemap import Basemap
>>>> ImportError: No module named basemap
>>>>
>>>> Here the previously cited traceback provided by windows 8.1:
>>>>
>>>> Version=1
>>>> EventType=APPCRASH
>>>> EventTime=130603719401981342
>>>> ReportType=2
>>>> Consent=1
>>>> UploadTime=130603719404121474
>>>> ReportIdentifier=4a8084e1-6b57-11e4-bebc-48d22435da2b
>>>> IntegratorReportIdentifier=4a8084e0-6b57-11e4-bebc-48d22435da2b
>>>> NsAppName=python.exe
>>>> Response.type=4
>>>> Sig[0].Name=Application Name
>>>> Sig[0].Value=python.exe
>>>> Sig[1].Name=Application Version
>>>> Sig[1].Value=0.0.0.0
>>>> Sig[2].Name=Application Timestamp
>>>> Sig[2].Value=53b4679e
>>>> Sig[3].Name=Fault Module Name
>>>> Sig[3].Value=_dotblas.pyd
>>>> Sig[4].Name=Fault Module Version
>>>> Sig[4].Value=0.0.0.0
>>>> Sig[5].Name=Fault Module Timestamp
>>>> Sig[5].Value=545678cb
>>>> Sig[6].Name=Exception Code
>>>> Sig[6].Value=c000001d
>>>> Sig[7].Name=Exception Offset
>>>> Sig[7].Value=0000000000324022
>>>> DynamicSig[1].Name=OS Version
>>>> DynamicSig[1].Value=6.3.9600.2.0.0.768.101
>>>> DynamicSig[2].Name=Locale ID
>>>> DynamicSig[2].Value=2057
>>>> DynamicSig[22].Name=Additional Information 1
>>>> DynamicSig[22].Value=00a8
>>>> DynamicSig[23].Name=Additional Information 2
>>>> DynamicSig[23].Value=00a81cae033b06467abfa2fb5dae54f2
>>>> DynamicSig[24].Name=Additional Information 3
>>>> DynamicSig[24].Value=bca9
>>>> DynamicSig[25].Name=Additional Information 4
>>>> DynamicSig[25].Value=bca99a98a9c8e88898e6500171ba1359
>>>> UI[2]=C:\Users\User\Anaconda\python.exe
>>>> UI[3]=python.exe has stopped working
>>>> UI[4]=Windows can check online for a solution to the problem.
>>>> UI[5]=Check online for a solution and close the program
>>>> UI[6]=Check online for a solution later and close the program
>>>> UI[7]=Close the program
>>>> LoadedModule[0]=C:\Users\User\Anaconda\python.exe
>>>> LoadedModule[1]=C:\WINDOWS\SYSTEM32\ntdll.dll
>>>> LoadedModule[2]=C:\WINDOWS\system32\KERNEL32.DLL
>>>> LoadedModule[3]=C:\WINDOWS\system32\KERNELBASE.dll
>>>> LoadedModule[4]=C:\Users\User\Anaconda\python27.dll
>>>>
>>>> LoadedModule[5]=C:\WINDOWS\WinSxS\amd64_microsoft.vc90.crt_1fc8b3b9a1e18e3b_9.0.30729.8387_none_08e793bfa83a89b5\MSVCR90.dll
>>>> LoadedModule[6]=C:\WINDOWS\system32\USER32.dll
>>>> LoadedModule[7]=C:\WINDOWS\system32\ADVAPI32.dll
>>>> LoadedModule[8]=C:\WINDOWS\system32\SHELL32.dll
>>>> LoadedModule[9]=C:\WINDOWS\system32\GDI32.dll
>>>> LoadedModule[10]=C:\WINDOWS\system32\msvcrt.dll
>>>> LoadedModule[11]=C:\WINDOWS\SYSTEM32\sechost.dll
>>>> LoadedModule[12]=C:\WINDOWS\system32\RPCRT4.dll
>>>> LoadedModule[13]=C:\WINDOWS\SYSTEM32\combase.dll
>>>> LoadedModule[14]=C:\WINDOWS\system32\SHLWAPI.dll
>>>> LoadedModule[15]=C:\WINDOWS\system32\IMM32.DLL
>>>> LoadedModule[16]=C:\WINDOWS\system32\MSCTF.dll
>>>> LoadedModule[17]=C:\Users\User\Anaconda\DLLs\_hashlib.pyd
>>>> LoadedModule[18]=C:\WINDOWS\SYSTEM32\CRYPTSP.dll
>>>> LoadedModule[19]=C:\WINDOWS\system32\rsaenh.dll
>>>> LoadedModule[20]=C:\WINDOWS\SYSTEM32\bcrypt.dll
>>>> LoadedModule[21]=C:\WINDOWS\SYSTEM32\CRYPTBASE.dll
>>>> LoadedModule[22]=C:\WINDOWS\SYSTEM32\bcryptPrimitives.dll
>>>> LoadedModule[23]=C:\Users\User\Anaconda\DLLs\_socket.pyd
>>>> LoadedModule[24]=C:\WINDOWS\system32\WS2_32.dll
>>>> LoadedModule[25]=C:\WINDOWS\system32\NSI.dll
>>>> LoadedModule[26]=C:\Users\User\Anaconda\DLLs\_ssl.pyd
>>>>
>>>> LoadedModule[27]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\multiarray.pyd
>>>>
>>>> LoadedModule[28]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\umath.pyd
>>>>
>>>> LoadedModule[29]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\_dotblas.pyd
>>>>
>>>> LoadedModule[30]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\libiomp5md.dll
>>>>
>>>> LoadedModule[31]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\scalarmath.pyd
>>>>
>>>> LoadedModule[32]=C:\Users\User\Anaconda\lib\site-packages\numpy\lib\_compiled_base.pyd
>>>>
>>>> LoadedModule[33]=C:\Users\User\Anaconda\lib\site-packages\numpy\linalg\lapack_lite.pyd
>>>>
>>>> LoadedModule[34]=C:\Users\User\Anaconda\lib\site-packages\numpy\linalg\_umath_linalg.pyd
>>>>
>>>> LoadedModule[35]=C:\Users\User\Anaconda\lib\site-packages\numpy\fft\fftpack_lite.pyd
>>>>
>>>> LoadedModule[36]=C:\Users\User\Anaconda\lib\site-packages\numpy\random\mtrand.pyd
>>>> LoadedModule[37]=C:\Users\User\Anaconda\DLLs\_ctypes.pyd
>>>> LoadedModule[38]=C:\WINDOWS\system32\ole32.dll
>>>> LoadedModule[39]=C:\WINDOWS\system32\OLEAUT32.dll
>>>>
>>>> LoadedModule[40]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_path.pyd
>>>>
>>>> LoadedModule[41]=C:\WINDOWS\WinSxS\amd64_microsoft.vc90.crt_1fc8b3b9a1e18e3b_9.0.30729.8387_none_08e793bfa83a89b5\MSVCP90.dll
>>>>
>>>> LoadedModule[42]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\ft2font.pyd
>>>> LoadedModule[43]=C:\Users\User\Anaconda\DLLs\unicodedata.pyd
>>>>
>>>> LoadedModule[44]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_png.pyd
>>>> LoadedModule[45]=C:\Users\User\Anaconda\DLLs\_tkinter.pyd
>>>> LoadedModule[46]=C:\Users\User\Anaconda\DLLs\tcl85.dll
>>>> LoadedModule[47]=C:\Users\User\Anaconda\DLLs\tk85.dll
>>>> LoadedModule[48]=C:\WINDOWS\system32\COMDLG32.dll
>>>>
>>>> LoadedModule[49]=C:\WINDOWS\WinSxS\amd64_microsoft.windows.common-controls_6595b64144ccf1df_5.82.9600.16384_none_34a8918f959016ea\COMCTL32.dll
>>>> LoadedModule[50]=C:\WINDOWS\SYSTEM32\SHCORE.DLL
>>>>
>>>> LoadedModule[51]=C:\Users\User\Anaconda\lib\site-packages\PIL\_imaging.pyd
>>>>
>>>> LoadedModule[52]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_cntr.pyd
>>>>
>>>> LoadedModule[53]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_image.pyd
>>>>
>>>> LoadedModule[54]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_tri.pyd
>>>>
>>>> LoadedModule[55]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_qhull.pyd
>>>>
>>>> LoadedModule[56]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\backends\_backend_agg.pyd
>>>> LoadedModule[57]=C:\Users\User\Anaconda\lib\site-packages\sip.pyd
>>>>
>>>> LoadedModule[58]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtCore.pyd
>>>>
>>>> LoadedModule[59]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtCore4.dll
>>>>
>>>> LoadedModule[60]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtGui.pyd
>>>>
>>>> LoadedModule[61]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtGui4.dll
>>>> LoadedModule[62]=C:\WINDOWS\SYSTEM32\WINMM.dll
>>>> LoadedModule[63]=C:\WINDOWS\SYSTEM32\WINSPOOL.DRV
>>>> LoadedModule[64]=C:\WINDOWS\SYSTEM32\WINMMBASE.dll
>>>> LoadedModule[65]=C:\WINDOWS\SYSTEM32\cfgmgr32.dll
>>>> LoadedModule[66]=C:\WINDOWS\SYSTEM32\DEVOBJ.dll
>>>> LoadedModule[67]=C:\WINDOWS\system32\uxtheme.dll
>>>> LoadedModule[68]=C:\WINDOWS\system32\dwmapi.dll
>>>> LoadedModule[69]=C:\WINDOWS\SYSTEM32\kernel.appcore.dll
>>>> FriendlyEventName=Stopped working
>>>> ConsentKey=APPCRASH
>>>> AppName=python.exe
>>>> AppPath=C:\Users\User\Anaconda\python.exe
>>>> NsPartner=windows
>>>> NsGroup=windows8
>>>> ApplicationIdentity=5B036AF1EC2E20F320DBF28D119DE93D
>>>>
>>>> On 13 November 2014 17:05, Benjamin Root <ben...@ou...> wrote:
>>>>
>>>>> Yeah, I am at a real loss here. Can you try one of the axes_grid1
>>>>> examples? Also, how about the basemap examples? Those are both mpl_toolkit
>>>>> packages as well and might behave similarly. Also, it would be interesting
>>>>> to figure out at exactly which step the failure happens. There is a package
>>>>> called "faulthandler" that is really useful for that:
>>>>> http://faulthandler.readthedocs.org/en/latest/ It is a bit limited on
>>>>> Windows, but it is better than nothing.
>>>>> Also, does it fail regardless if you are doing savefig() or show()?
>>>>>
>>>>> Unfortunately, the "traceback" info you provided doesn't seem to be
>>>>> encoded properly (or at least, not auto-detectable).
>>>>>
>>>>> Ben Root
>>>>>
>>>>> On Thu, Nov 13, 2014 at 4:57 PM, Geoffrey Mégardon <
>>>>> geo...@gm...> wrote:
>>>>>
>>>>>> That returns:
>>>>>> C:\Anaconda\lib\site-packages\matplotlib\__init__.pyc
>>>>>> C:\Anaconda\lib\site-packages\mpl_toolkits\mplot3d\__init__.pyc
>>>>>>
>>>>>> On 13 November 2014 16:40, Benjamin Root <ben...@ou...> wrote:
>>>>>>
>>>>>>> No OpenGL. The 3d graphics all goes through the same layering engine
>>>>>>> as the 2D plots. They aren't real 3D plots but rather what I like to call
>>>>>>> "2.1D" plots. A single point of a 3D element is chosen to determine how to
>>>>>>> layer it with everything else. So, it is very easy to get visualization
>>>>>>> artifacts, especially with polygons.
>>>>>>>
>>>>>>> Do this from python:
>>>>>>>
>>>>>>> import matplotlib
>>>>>>> import mpl_toolkits.mplot3d
>>>>>>> print matplotlib.__file__
>>>>>>> print mpl_toolkits.mplot3d.__file__
>>>>>>>
>>>>>>> And tell us what that returns.
>>>>>>>
>>>>>>> Cheers!
>>>>>>> Ben Root
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> On Thu, Nov 13, 2014 at 3:49 PM, Paul Hobson <pmh...@gm...>
>>>>>>> wrote:
>>>>>>>
>>>>>>>> No clue about that. BTW, I'll i was suggestion was to create a new
>>>>>>>> conda enviorment:
>>>>>>>> > conda create --name=mpl3dtest matplotlib ipython-notebook
>>>>>>>> python=3.4
>>>>>>>> ...
>>>>>>>> > activate mpl3dtest
>>>>>>>> > ipython notebook
>>>>>>>> > [test out 3d plotting]
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> On Thu, Nov 13, 2014 at 12:44 PM, Geoffrey Mégardon <
>>>>>>>> geo...@gm...> wrote:
>>>>>>>>
>>>>>>>>> I uninstall and reinstall Anaconda.
>>>>>>>>> That still does not work :/
>>>>>>>>> Is it possible there is like OpenGL problem, graphic card driver
>>>>>>>>> problem, or something linked to  displaying 3d?
>>>>>>>>>
>>>>>>>>> On 13 November 2014 13:32, Paul Hobson <pmh...@gm...> wrote:
>>>>>>>>>
>>>>>>>>>> Does a fresh conda environment help?
>>>>>>>>>>
>>>>>>>>>> On Wed, Nov 12, 2014 at 5:38 PM, Geoffrey Mégardon <
>>>>>>>>>> geo...@gm...> wrote:
>>>>>>>>>>
>>>>>>>>>>> Yes, I may forget to tell, but this code is 100% working, it
>>>>>>>>>>> work on other installations I have. So the problem is not in the code.
>>>>>>>>>>>
>>>>>>>>>>> It is just that on my current laptop, I don't know why, this
>>>>>>>>>>> code, which tries to display a 3d plot, leads to a crash.
>>>>>>>>>>> Note that 2D plots work fine on their side.
>>>>>>>>>>>
>>>>>>>>>>> I have an other PC on windows 8.1, and everything work fine on
>>>>>>>>>>> it, I installed the same Anaconda 64-bit version.
>>>>>>>>>>>
>>>>>>>>>>> So it is something to do with my environment, but it is not
>>>>>>>>>>> linked to the OS itself, and it is linked with 3D displaying only I would
>>>>>>>>>>> say.
>>>>>>>>>>>
>>>>>>>>>>> Any idea? :)
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> On 12 November 2014 18:44, Jerzy Karczmarczuk <
>>>>>>>>>>> jer...@un...> wrote:
>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> Le 13/11/2014 00:13, Geoffrey Mégardon a écrit :
>>>>>>>>>>>>
>>>>>>>>>>>> ...
>>>>>>>>>>>>
>>>>>>>>>>>>>     But to create the 3D axes, to draw in it, and then to
>>>>>>>>>>>>>> show the figure, that crashes:
>>>>>>>>>>>>>>  from mpl_toolkits.mplot3d import axes3d
>>>>>>>>>>>>>> import matplotlib
>>>>>>>>>>>>>> matplotlib.use("agg")
>>>>>>>>>>>>>> import matplotlib.pyplot as plt
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> fig = plt.figure()
>>>>>>>>>>>>>> ax = fig.add_subplot(111, projection='3d')
>>>>>>>>>>>>>> X, Y, Z = axes3d.get_test_data(0.05)
>>>>>>>>>>>>>> cset = ax.contour(X, Y, Z)
>>>>>>>>>>>>>> ax.clabel(cset, fontsize=9, inline=1)
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> plt.show()
>>>>>>>>>>>>>>
>>>>>>>>>>>>>>
>>>>>>>>>>>>>> Basically on iPython QT console I would get an error like:
>>>>>>>>>>>>>> ""Kernel died, restarting""
>>>>>>>>>>>>>>
>>>>>>>>>>>>>    Perhaps it is your environment, not Matplotlib.
>>>>>>>>>>>> A copy-paste of this program run without problems on my system.
>>>>>>>>>>>> Anaconda 64 bits, IPython console (within Spyder).
>>>>>>>>>>>> But *Windows 7*, not 8.
>>>>>>>>>>>>
>>>>>>>>>>>> Jerzy Karczmarczuk
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> ------------------------------------------------------------------------------
>>>>>>>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>>>>>>>> Monitor 10 servers for $9/Month.
>>>>>>>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>>>>>>>> notifications.
>>>>>>>>>>>> Take corrective actions from your mobile device.
>>>>>>>>>>>>
>>>>>>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>>>>>>>> _______________________________________________
>>>>>>>>>>>> Matplotlib-users mailing list
>>>>>>>>>>>> Mat...@li...
>>>>>>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> --
>>>>>>>>>>> --
>>>>>>>>>>> MEGARDON Geoffrey
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> ------------------------------------------------------------------------------
>>>>>>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>>>>>>> Monitor 10 servers for $9/Month.
>>>>>>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>>>>>>> notifications.
>>>>>>>>>>> Take corrective actions from your mobile device.
>>>>>>>>>>>
>>>>>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>>>>>>> _______________________________________________
>>>>>>>>>>> Matplotlib-users mailing list
>>>>>>>>>>> Mat...@li...
>>>>>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> --
>>>>>>>>> --
>>>>>>>>> MEGARDON Geoffrey
>>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> ------------------------------------------------------------------------------
>>>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>>>> Monitor 10 servers for $9/Month.
>>>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>>>> notifications.
>>>>>>>> Take corrective actions from your mobile device.
>>>>>>>>
>>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>>>> _______________________________________________
>>>>>>>> Matplotlib-users mailing list
>>>>>>>> Mat...@li...
>>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>>
>>>>>>>>
>>>>>>>
>>>>>>
>>>>>>
>>>>>> --
>>>>>> --
>>>>>> MEGARDON Geoffrey
>>>>>>
>>>>>
>>>>>
>>>>
>>>>
>>>> --
>>>> --
>>>> MEGARDON Geoffrey
>>>>
>>>
>>>
>>>
>>> --
>>> --
>>> MEGARDON Geoffrey
>>>
>>
>>
>>
>> --
>> --
>> MEGARDON Geoffrey
>>
>
>


-- 
--
MEGARDON Geoffrey

from matplotlib.pylab import *
fig = plt.figure(1) 
fig.clf() 
data = np.random.random((3,3)) 
xaxis = np.arange(0,3) 
yaxis = np.arange(0,3) 
ax1 = fig.add_subplot(211) 
im = ax1.imshow(data, interpolation='none') 
c = ax1.contour(xaxis, yaxis, data, colors='k') 
#----------------
# draw ax1 first, so you can get proper position of ax1
fig.canvas.draw() 
point_bl, point_tr = ax1.get_position().get_points()  # ax1's bottom-left
and top-right
ax2 = fig.add_subplot(212)
space = 0.45  # space between ax2's bottom left and ax1's bottom left in
percentage
ax2.set_position([point_bl[0], point_bl[1]-space, 
                  point_tr[0] - point_bl[0], point_tr[1] - point_bl[1]])
plt.show()


You can adjust that variable "space" as you need.

If someone has some more easy ways to do this, please let me know.



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Hi List,

How can I make a plot have the same width as an image? The image (and
contour) have a fixed aspect ratio defined by the data. Now I'd like to
plot something under that image, with the same width.

I think this is trivial. I think I've done this in the past. But I
cannot find the code. Searching online and with experiments I've looked
into "sharex", and tried using "extent" and the bbox,
ax.transData.inverted(), etc. but I have not had any success, hence my
post here.

The following code demonstrates the problem. The 2nd axis is wider than
the first that contains the image.

Thanks,

  -k.
  

fig = plt.figure(1)
fig.clf()

data = np.random.random((3,3))
xaxis = np.arange(0,3)
yaxis = np.arange(0,3)

ax = fig.add_subplot(211)
im = ax.imshow(data, interpolation='none')
c = ax.contour(xaxis, yaxis, data, colors='k')

ax2 = fig.add_subplot(212)

Thanks! I did use geopandas and it seems it is the easiest method of
creating a choropleth in Python. Support for displaying a colorbar for
noncategorical data is missing so I implemented it but my PR hasn't
been merged yet.

On Fri, Nov 14, 2014 at 6:07 PM, Benjamin Root <ben...@ou...> wrote:
> Sorry for the delay. Here is an example I came across today using geopandas
> and pysal:
> http://nbviewer.ipython.org/github/geopandas/geopandas/blob/master/examples/choropleths.ipynb
>
> Cheers!
> Ben Root
>
> On Fri, Oct 24, 2014 at 3:59 PM, Christian Alis <ia...@gm...> wrote:
>>
>> Hi Ben,
>>
>> Yes, indeed. I'm referring to a choropleth. :)
>>
>> Thanks,
>>
>> Christian
>>
>> On Oct 24, 2014 8:23 PM, "Benjamin Root" <ben...@ou...> wrote:
>>>
>>> Do you mean choropleth? http://en.wikipedia.org/wiki/Choropleth_map
>>>
>>> On Fri, Oct 24, 2014 at 1:18 PM, ianalis <ia...@gm...> wrote:
>>>>
>>>> I have been creating chloropleth maps in Python by adding patches and/or
>>>> polygons in a matplotlib Axes but I'm looking for something easier to
>>>> use.
>>>>
>>>> Ideally, the interface should be similar to how contour maps or
>>>> pseudocolor
>>>> plots are created where, at the minimum, only one call to a function is
>>>> needed to create these plots from data. Colors are automatically
>>>> assigned
>>>> and normalized based on values. A colorbar can then be added by calling
>>>> another function.
>>>>
>>>> So far, the closest package seems to be geopandas. Is there an another
>>>> package that is nearer to what I want? That is, is there a package that
>>>> can
>>>> make a (basic) chloropleth of values stored as a dictionary, numpy array
>>>> or
>>>> pandas dataframe in one call?
>>>>
>>>> I'm willing to contribute code and help develop the chloropleth
>>>> capability
>>>> of a package since I currently end up creating my own function and
>>>> manipulating Axes internals just to create a chloropleth.
>>>>
>>>>
>>>>
>>>> --
>>>> View this message in context:
>>>> http://matplotlib.1069221.n5.nabble.com/Easiest-way-to-create-a-chloropleth-in-Python-tp44195.html
>>>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>>>
>>>>
>>>> ------------------------------------------------------------------------------
>>>> _______________________________________________
>>>> Matplotlib-users mailing list
>>>> Mat...@li...
>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>>
>

On 2014/11/16, 10:21 AM, j1 wrote:
> I have posted this in the user sub forum as well because i'm not sure that it
> is a user issue or development issue.
> Information about my problem and my code are here
>
> http://matplotlib.1069221.n5.nabble.com/Assign-labels-to-colorbar-extensions-user-or-development-issue-td44392.html
> <http://matplotlib.1069221.n5.nabble.com/Assign-labels-to-colorbar-extensions-user-or-development-issue-td44392.html>
>
> Is it possible to assign tick labels/values to extensions?

You would have to do it manually; you can put marks and text anywhere 
you want in a matplotlib figure, but there is no mechanism for adding 
ticks to the extensions.  That's simply not what they are for.  They are 
intended only to indicate a single color to which values outside the 
vmin-to-vmax range of the norm are assigned.

>
> If so, how can I do it

It looks like you might be able to achieve what you want *without* using 
extensions, by using a custom colormap and/or norm.  You would extend 
the actual contour levels to include the full range you want "ticked and 
labeled", but you would use the colormap and/or norm to ensure those 
beyond a given range are mapped to the appropriate end color(s).

Eric

I am not sure if this is a user issue or a development issue.
Using version 1.4.2
My code allows the user to hone in on a specific contour range, by changing
the minimum and maximum of the contour and the number of levels.
I am using colorbar "extend" to prevent any white patches, as the data may
have values outside the contour range.

I want the extensions to have tick values but I can't seem to figure out,
how to do it?

This is my code

import numpy as np
import matplotlib.pyplot as plt
xi = np.array([0., 0.5, 1.0])#xi data
yi = np.array([0., 0.5, 1.0])#yi data
zi = np.array([[0., 1.0, 2.0],[0., 1.0, 2.0],[-0.1, 1.0, 2.0]])#zi data
n=5#number of levels of user specified range
umin=0.5#user defined minimum of contour
umax=1#user defined maximum of contout
u = np.linspace(umin, umax, n)#user specified contour levels
cbtics = np.hstack([zi.min(),u,zi.max()])#contour ticks including maximum
and minimum of zi
plt.contourf(xi, yi, zi, u, cmap=plt.cm.jet,extend='both')#plot contour
cbar=plt.colorbar(extendrect='True',extendfrac='auto',spacing='proportional')#plot
colorbar
print cbar.ax.get_ylim()#show y limits
print cbar.ax.get_yticks()#show yticks
plt.show()


Using the user entered values:
ylim are (-0.25, 1.25)
but the yticks are:
[ 0.   0.2  0.4  0.6  0.8  1. ] range from 0 to 1

I'm guessing that the difference between ylim (-0.25 to 1.25) and yticks (0
to 1) is that I am using extensions, so is there no way to update y ticks to
include the extensions so that I can  assign labels to the extensions?



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Sent from the matplotlib - users mailing list archive at Nabble.com.

I was waiting for the results from using faulthandler. It is very easy to
use, and I think it will be very illuminating.

Ben Root

On Sat, Nov 15, 2014 at 8:50 AM, Geoffrey Mégardon <
geo...@gm...> wrote:

> So, are there new ideas about this problem?
> My case seems quite rare :/
>
> On 13 November 2014 17:46, Geoffrey Mégardon <geo...@gm...>
> wrote:
>
>> sorry to double post,
>>
>> I don't know if it is linked but Pycharms complains about Skeleton
>> Generation Problems, among the errors there is one which has matplotlib
>> inside:
>>
>> *Failed modules*
>> Python 2.7.8 (C:\Anaconda\python.exe)
>> dde
>> matplotlib._cntr
>> win32ui
>> win32uiole
>> Generation of skeletons for the modules above will be tried again when
>> the modules are updated or a new version of generator is available
>>
>> On 13 November 2014 17:35, Geoffrey Mégardon <geo...@gm...
>> > wrote:
>>
>>> I will have a look to faulthandler but I never used it before.
>>>
>>> To use savefig() leads to the same crash.
>>>
>>> The two first examples on this pages work fine:
>>> http://matplotlib.org/mpl_toolkits/axes_grid/users/overview.html
>>>
>>> The first example from:
>>> http://matplotlib.org/basemap/users/examples.html
>>> send back an error telling I do not have a module Basemap:
>>> Traceback (most recent call last):
>>>   File "C:\Users\User\Google Drive\Work\tryAxesGrid.py", line 1, in
>>> <module>
>>>     from mpl_toolkits.basemap import Basemap
>>> ImportError: No module named basemap
>>>
>>> Here the previously cited traceback provided by windows 8.1:
>>>
>>> Version=1
>>> EventType=APPCRASH
>>> EventTime=130603719401981342
>>> ReportType=2
>>> Consent=1
>>> UploadTime=130603719404121474
>>> ReportIdentifier=4a8084e1-6b57-11e4-bebc-48d22435da2b
>>> IntegratorReportIdentifier=4a8084e0-6b57-11e4-bebc-48d22435da2b
>>> NsAppName=python.exe
>>> Response.type=4
>>> Sig[0].Name=Application Name
>>> Sig[0].Value=python.exe
>>> Sig[1].Name=Application Version
>>> Sig[1].Value=0.0.0.0
>>> Sig[2].Name=Application Timestamp
>>> Sig[2].Value=53b4679e
>>> Sig[3].Name=Fault Module Name
>>> Sig[3].Value=_dotblas.pyd
>>> Sig[4].Name=Fault Module Version
>>> Sig[4].Value=0.0.0.0
>>> Sig[5].Name=Fault Module Timestamp
>>> Sig[5].Value=545678cb
>>> Sig[6].Name=Exception Code
>>> Sig[6].Value=c000001d
>>> Sig[7].Name=Exception Offset
>>> Sig[7].Value=0000000000324022
>>> DynamicSig[1].Name=OS Version
>>> DynamicSig[1].Value=6.3.9600.2.0.0.768.101
>>> DynamicSig[2].Name=Locale ID
>>> DynamicSig[2].Value=2057
>>> DynamicSig[22].Name=Additional Information 1
>>> DynamicSig[22].Value=00a8
>>> DynamicSig[23].Name=Additional Information 2
>>> DynamicSig[23].Value=00a81cae033b06467abfa2fb5dae54f2
>>> DynamicSig[24].Name=Additional Information 3
>>> DynamicSig[24].Value=bca9
>>> DynamicSig[25].Name=Additional Information 4
>>> DynamicSig[25].Value=bca99a98a9c8e88898e6500171ba1359
>>> UI[2]=C:\Users\User\Anaconda\python.exe
>>> UI[3]=python.exe has stopped working
>>> UI[4]=Windows can check online for a solution to the problem.
>>> UI[5]=Check online for a solution and close the program
>>> UI[6]=Check online for a solution later and close the program
>>> UI[7]=Close the program
>>> LoadedModule[0]=C:\Users\User\Anaconda\python.exe
>>> LoadedModule[1]=C:\WINDOWS\SYSTEM32\ntdll.dll
>>> LoadedModule[2]=C:\WINDOWS\system32\KERNEL32.DLL
>>> LoadedModule[3]=C:\WINDOWS\system32\KERNELBASE.dll
>>> LoadedModule[4]=C:\Users\User\Anaconda\python27.dll
>>>
>>> LoadedModule[5]=C:\WINDOWS\WinSxS\amd64_microsoft.vc90.crt_1fc8b3b9a1e18e3b_9.0.30729.8387_none_08e793bfa83a89b5\MSVCR90.dll
>>> LoadedModule[6]=C:\WINDOWS\system32\USER32.dll
>>> LoadedModule[7]=C:\WINDOWS\system32\ADVAPI32.dll
>>> LoadedModule[8]=C:\WINDOWS\system32\SHELL32.dll
>>> LoadedModule[9]=C:\WINDOWS\system32\GDI32.dll
>>> LoadedModule[10]=C:\WINDOWS\system32\msvcrt.dll
>>> LoadedModule[11]=C:\WINDOWS\SYSTEM32\sechost.dll
>>> LoadedModule[12]=C:\WINDOWS\system32\RPCRT4.dll
>>> LoadedModule[13]=C:\WINDOWS\SYSTEM32\combase.dll
>>> LoadedModule[14]=C:\WINDOWS\system32\SHLWAPI.dll
>>> LoadedModule[15]=C:\WINDOWS\system32\IMM32.DLL
>>> LoadedModule[16]=C:\WINDOWS\system32\MSCTF.dll
>>> LoadedModule[17]=C:\Users\User\Anaconda\DLLs\_hashlib.pyd
>>> LoadedModule[18]=C:\WINDOWS\SYSTEM32\CRYPTSP.dll
>>> LoadedModule[19]=C:\WINDOWS\system32\rsaenh.dll
>>> LoadedModule[20]=C:\WINDOWS\SYSTEM32\bcrypt.dll
>>> LoadedModule[21]=C:\WINDOWS\SYSTEM32\CRYPTBASE.dll
>>> LoadedModule[22]=C:\WINDOWS\SYSTEM32\bcryptPrimitives.dll
>>> LoadedModule[23]=C:\Users\User\Anaconda\DLLs\_socket.pyd
>>> LoadedModule[24]=C:\WINDOWS\system32\WS2_32.dll
>>> LoadedModule[25]=C:\WINDOWS\system32\NSI.dll
>>> LoadedModule[26]=C:\Users\User\Anaconda\DLLs\_ssl.pyd
>>>
>>> LoadedModule[27]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\multiarray.pyd
>>>
>>> LoadedModule[28]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\umath.pyd
>>>
>>> LoadedModule[29]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\_dotblas.pyd
>>>
>>> LoadedModule[30]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\libiomp5md.dll
>>>
>>> LoadedModule[31]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\scalarmath.pyd
>>>
>>> LoadedModule[32]=C:\Users\User\Anaconda\lib\site-packages\numpy\lib\_compiled_base.pyd
>>>
>>> LoadedModule[33]=C:\Users\User\Anaconda\lib\site-packages\numpy\linalg\lapack_lite.pyd
>>>
>>> LoadedModule[34]=C:\Users\User\Anaconda\lib\site-packages\numpy\linalg\_umath_linalg.pyd
>>>
>>> LoadedModule[35]=C:\Users\User\Anaconda\lib\site-packages\numpy\fft\fftpack_lite.pyd
>>>
>>> LoadedModule[36]=C:\Users\User\Anaconda\lib\site-packages\numpy\random\mtrand.pyd
>>> LoadedModule[37]=C:\Users\User\Anaconda\DLLs\_ctypes.pyd
>>> LoadedModule[38]=C:\WINDOWS\system32\ole32.dll
>>> LoadedModule[39]=C:\WINDOWS\system32\OLEAUT32.dll
>>>
>>> LoadedModule[40]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_path.pyd
>>>
>>> LoadedModule[41]=C:\WINDOWS\WinSxS\amd64_microsoft.vc90.crt_1fc8b3b9a1e18e3b_9.0.30729.8387_none_08e793bfa83a89b5\MSVCP90.dll
>>>
>>> LoadedModule[42]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\ft2font.pyd
>>> LoadedModule[43]=C:\Users\User\Anaconda\DLLs\unicodedata.pyd
>>>
>>> LoadedModule[44]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_png.pyd
>>> LoadedModule[45]=C:\Users\User\Anaconda\DLLs\_tkinter.pyd
>>> LoadedModule[46]=C:\Users\User\Anaconda\DLLs\tcl85.dll
>>> LoadedModule[47]=C:\Users\User\Anaconda\DLLs\tk85.dll
>>> LoadedModule[48]=C:\WINDOWS\system32\COMDLG32.dll
>>>
>>> LoadedModule[49]=C:\WINDOWS\WinSxS\amd64_microsoft.windows.common-controls_6595b64144ccf1df_5.82.9600.16384_none_34a8918f959016ea\COMCTL32.dll
>>> LoadedModule[50]=C:\WINDOWS\SYSTEM32\SHCORE.DLL
>>>
>>> LoadedModule[51]=C:\Users\User\Anaconda\lib\site-packages\PIL\_imaging.pyd
>>>
>>> LoadedModule[52]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_cntr.pyd
>>>
>>> LoadedModule[53]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_image.pyd
>>>
>>> LoadedModule[54]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_tri.pyd
>>>
>>> LoadedModule[55]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_qhull.pyd
>>>
>>> LoadedModule[56]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\backends\_backend_agg.pyd
>>> LoadedModule[57]=C:\Users\User\Anaconda\lib\site-packages\sip.pyd
>>>
>>> LoadedModule[58]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtCore.pyd
>>>
>>> LoadedModule[59]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtCore4.dll
>>> LoadedModule[60]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtGui.pyd
>>>
>>> LoadedModule[61]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtGui4.dll
>>> LoadedModule[62]=C:\WINDOWS\SYSTEM32\WINMM.dll
>>> LoadedModule[63]=C:\WINDOWS\SYSTEM32\WINSPOOL.DRV
>>> LoadedModule[64]=C:\WINDOWS\SYSTEM32\WINMMBASE.dll
>>> LoadedModule[65]=C:\WINDOWS\SYSTEM32\cfgmgr32.dll
>>> LoadedModule[66]=C:\WINDOWS\SYSTEM32\DEVOBJ.dll
>>> LoadedModule[67]=C:\WINDOWS\system32\uxtheme.dll
>>> LoadedModule[68]=C:\WINDOWS\system32\dwmapi.dll
>>> LoadedModule[69]=C:\WINDOWS\SYSTEM32\kernel.appcore.dll
>>> FriendlyEventName=Stopped working
>>> ConsentKey=APPCRASH
>>> AppName=python.exe
>>> AppPath=C:\Users\User\Anaconda\python.exe
>>> NsPartner=windows
>>> NsGroup=windows8
>>> ApplicationIdentity=5B036AF1EC2E20F320DBF28D119DE93D
>>>
>>> On 13 November 2014 17:05, Benjamin Root <ben...@ou...> wrote:
>>>
>>>> Yeah, I am at a real loss here. Can you try one of the axes_grid1
>>>> examples? Also, how about the basemap examples? Those are both mpl_toolkit
>>>> packages as well and might behave similarly. Also, it would be interesting
>>>> to figure out at exactly which step the failure happens. There is a package
>>>> called "faulthandler" that is really useful for that:
>>>> http://faulthandler.readthedocs.org/en/latest/ It is a bit limited on
>>>> Windows, but it is better than nothing.
>>>> Also, does it fail regardless if you are doing savefig() or show()?
>>>>
>>>> Unfortunately, the "traceback" info you provided doesn't seem to be
>>>> encoded properly (or at least, not auto-detectable).
>>>>
>>>> Ben Root
>>>>
>>>> On Thu, Nov 13, 2014 at 4:57 PM, Geoffrey Mégardon <
>>>> geo...@gm...> wrote:
>>>>
>>>>> That returns:
>>>>> C:\Anaconda\lib\site-packages\matplotlib\__init__.pyc
>>>>> C:\Anaconda\lib\site-packages\mpl_toolkits\mplot3d\__init__.pyc
>>>>>
>>>>> On 13 November 2014 16:40, Benjamin Root <ben...@ou...> wrote:
>>>>>
>>>>>> No OpenGL. The 3d graphics all goes through the same layering engine
>>>>>> as the 2D plots. They aren't real 3D plots but rather what I like to call
>>>>>> "2.1D" plots. A single point of a 3D element is chosen to determine how to
>>>>>> layer it with everything else. So, it is very easy to get visualization
>>>>>> artifacts, especially with polygons.
>>>>>>
>>>>>> Do this from python:
>>>>>>
>>>>>> import matplotlib
>>>>>> import mpl_toolkits.mplot3d
>>>>>> print matplotlib.__file__
>>>>>> print mpl_toolkits.mplot3d.__file__
>>>>>>
>>>>>> And tell us what that returns.
>>>>>>
>>>>>> Cheers!
>>>>>> Ben Root
>>>>>>
>>>>>>
>>>>>>
>>>>>> On Thu, Nov 13, 2014 at 3:49 PM, Paul Hobson <pmh...@gm...>
>>>>>> wrote:
>>>>>>
>>>>>>> No clue about that. BTW, I'll i was suggestion was to create a new
>>>>>>> conda enviorment:
>>>>>>> > conda create --name=mpl3dtest matplotlib ipython-notebook
>>>>>>> python=3.4
>>>>>>> ...
>>>>>>> > activate mpl3dtest
>>>>>>> > ipython notebook
>>>>>>> > [test out 3d plotting]
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> On Thu, Nov 13, 2014 at 12:44 PM, Geoffrey Mégardon <
>>>>>>> geo...@gm...> wrote:
>>>>>>>
>>>>>>>> I uninstall and reinstall Anaconda.
>>>>>>>> That still does not work :/
>>>>>>>> Is it possible there is like OpenGL problem, graphic card driver
>>>>>>>> problem, or something linked to  displaying 3d?
>>>>>>>>
>>>>>>>> On 13 November 2014 13:32, Paul Hobson <pmh...@gm...> wrote:
>>>>>>>>
>>>>>>>>> Does a fresh conda environment help?
>>>>>>>>>
>>>>>>>>> On Wed, Nov 12, 2014 at 5:38 PM, Geoffrey Mégardon <
>>>>>>>>> geo...@gm...> wrote:
>>>>>>>>>
>>>>>>>>>> Yes, I may forget to tell, but this code is 100% working, it work
>>>>>>>>>> on other installations I have. So the problem is not in the code.
>>>>>>>>>>
>>>>>>>>>> It is just that on my current laptop, I don't know why, this
>>>>>>>>>> code, which tries to display a 3d plot, leads to a crash.
>>>>>>>>>> Note that 2D plots work fine on their side.
>>>>>>>>>>
>>>>>>>>>> I have an other PC on windows 8.1, and everything work fine on
>>>>>>>>>> it, I installed the same Anaconda 64-bit version.
>>>>>>>>>>
>>>>>>>>>> So it is something to do with my environment, but it is not
>>>>>>>>>> linked to the OS itself, and it is linked with 3D displaying only I would
>>>>>>>>>> say.
>>>>>>>>>>
>>>>>>>>>> Any idea? :)
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> On 12 November 2014 18:44, Jerzy Karczmarczuk <
>>>>>>>>>> jer...@un...> wrote:
>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> Le 13/11/2014 00:13, Geoffrey Mégardon a écrit :
>>>>>>>>>>>
>>>>>>>>>>> ...
>>>>>>>>>>>
>>>>>>>>>>>>     But to create the 3D axes, to draw in it, and then to show
>>>>>>>>>>>>> the figure, that crashes:
>>>>>>>>>>>>>  from mpl_toolkits.mplot3d import axes3d
>>>>>>>>>>>>> import matplotlib
>>>>>>>>>>>>> matplotlib.use("agg")
>>>>>>>>>>>>> import matplotlib.pyplot as plt
>>>>>>>>>>>>>
>>>>>>>>>>>>> fig = plt.figure()
>>>>>>>>>>>>> ax = fig.add_subplot(111, projection='3d')
>>>>>>>>>>>>> X, Y, Z = axes3d.get_test_data(0.05)
>>>>>>>>>>>>> cset = ax.contour(X, Y, Z)
>>>>>>>>>>>>> ax.clabel(cset, fontsize=9, inline=1)
>>>>>>>>>>>>>
>>>>>>>>>>>>> plt.show()
>>>>>>>>>>>>>
>>>>>>>>>>>>>
>>>>>>>>>>>>> Basically on iPython QT console I would get an error like:
>>>>>>>>>>>>> ""Kernel died, restarting""
>>>>>>>>>>>>>
>>>>>>>>>>>>    Perhaps it is your environment, not Matplotlib.
>>>>>>>>>>> A copy-paste of this program run without problems on my system.
>>>>>>>>>>> Anaconda 64 bits, IPython console (within Spyder).
>>>>>>>>>>> But *Windows 7*, not 8.
>>>>>>>>>>>
>>>>>>>>>>> Jerzy Karczmarczuk
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> ------------------------------------------------------------------------------
>>>>>>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>>>>>>> Monitor 10 servers for $9/Month.
>>>>>>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>>>>>>> notifications.
>>>>>>>>>>> Take corrective actions from your mobile device.
>>>>>>>>>>>
>>>>>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>>>>>>> _______________________________________________
>>>>>>>>>>> Matplotlib-users mailing list
>>>>>>>>>>> Mat...@li...
>>>>>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> --
>>>>>>>>>> --
>>>>>>>>>> MEGARDON Geoffrey
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> ------------------------------------------------------------------------------
>>>>>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>>>>>> Monitor 10 servers for $9/Month.
>>>>>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>>>>>> notifications.
>>>>>>>>>> Take corrective actions from your mobile device.
>>>>>>>>>>
>>>>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>>>>>> _______________________________________________
>>>>>>>>>> Matplotlib-users mailing list
>>>>>>>>>> Mat...@li...
>>>>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> --
>>>>>>>> --
>>>>>>>> MEGARDON Geoffrey
>>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> ------------------------------------------------------------------------------
>>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>>> Monitor 10 servers for $9/Month.
>>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>>> notifications.
>>>>>>> Take corrective actions from your mobile device.
>>>>>>>
>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>>> _______________________________________________
>>>>>>> Matplotlib-users mailing list
>>>>>>> Mat...@li...
>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>
>>>>>>>
>>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> --
>>>>> MEGARDON Geoffrey
>>>>>
>>>>
>>>>
>>>
>>>
>>> --
>>> --
>>> MEGARDON Geoffrey
>>>
>>
>>
>>
>> --
>> --
>> MEGARDON Geoffrey
>>
>
>
>
> --
> --
> MEGARDON Geoffrey
>

So, are there new ideas about this problem?
My case seems quite rare :/

On 13 November 2014 17:46, Geoffrey Mégardon <geo...@gm...>
wrote:

> sorry to double post,
>
> I don't know if it is linked but Pycharms complains about Skeleton
> Generation Problems, among the errors there is one which has matplotlib
> inside:
>
> *Failed modules*
> Python 2.7.8 (C:\Anaconda\python.exe)
> dde
> matplotlib._cntr
> win32ui
> win32uiole
> Generation of skeletons for the modules above will be tried again when the
> modules are updated or a new version of generator is available
>
> On 13 November 2014 17:35, Geoffrey Mégardon <geo...@gm...>
> wrote:
>
>> I will have a look to faulthandler but I never used it before.
>>
>> To use savefig() leads to the same crash.
>>
>> The two first examples on this pages work fine:
>> http://matplotlib.org/mpl_toolkits/axes_grid/users/overview.html
>>
>> The first example from: http://matplotlib.org/basemap/users/examples.html
>> send back an error telling I do not have a module Basemap:
>> Traceback (most recent call last):
>>   File "C:\Users\User\Google Drive\Work\tryAxesGrid.py", line 1, in
>> <module>
>>     from mpl_toolkits.basemap import Basemap
>> ImportError: No module named basemap
>>
>> Here the previously cited traceback provided by windows 8.1:
>>
>> Version=1
>> EventType=APPCRASH
>> EventTime=130603719401981342
>> ReportType=2
>> Consent=1
>> UploadTime=130603719404121474
>> ReportIdentifier=4a8084e1-6b57-11e4-bebc-48d22435da2b
>> IntegratorReportIdentifier=4a8084e0-6b57-11e4-bebc-48d22435da2b
>> NsAppName=python.exe
>> Response.type=4
>> Sig[0].Name=Application Name
>> Sig[0].Value=python.exe
>> Sig[1].Name=Application Version
>> Sig[1].Value=0.0.0.0
>> Sig[2].Name=Application Timestamp
>> Sig[2].Value=53b4679e
>> Sig[3].Name=Fault Module Name
>> Sig[3].Value=_dotblas.pyd
>> Sig[4].Name=Fault Module Version
>> Sig[4].Value=0.0.0.0
>> Sig[5].Name=Fault Module Timestamp
>> Sig[5].Value=545678cb
>> Sig[6].Name=Exception Code
>> Sig[6].Value=c000001d
>> Sig[7].Name=Exception Offset
>> Sig[7].Value=0000000000324022
>> DynamicSig[1].Name=OS Version
>> DynamicSig[1].Value=6.3.9600.2.0.0.768.101
>> DynamicSig[2].Name=Locale ID
>> DynamicSig[2].Value=2057
>> DynamicSig[22].Name=Additional Information 1
>> DynamicSig[22].Value=00a8
>> DynamicSig[23].Name=Additional Information 2
>> DynamicSig[23].Value=00a81cae033b06467abfa2fb5dae54f2
>> DynamicSig[24].Name=Additional Information 3
>> DynamicSig[24].Value=bca9
>> DynamicSig[25].Name=Additional Information 4
>> DynamicSig[25].Value=bca99a98a9c8e88898e6500171ba1359
>> UI[2]=C:\Users\User\Anaconda\python.exe
>> UI[3]=python.exe has stopped working
>> UI[4]=Windows can check online for a solution to the problem.
>> UI[5]=Check online for a solution and close the program
>> UI[6]=Check online for a solution later and close the program
>> UI[7]=Close the program
>> LoadedModule[0]=C:\Users\User\Anaconda\python.exe
>> LoadedModule[1]=C:\WINDOWS\SYSTEM32\ntdll.dll
>> LoadedModule[2]=C:\WINDOWS\system32\KERNEL32.DLL
>> LoadedModule[3]=C:\WINDOWS\system32\KERNELBASE.dll
>> LoadedModule[4]=C:\Users\User\Anaconda\python27.dll
>>
>> LoadedModule[5]=C:\WINDOWS\WinSxS\amd64_microsoft.vc90.crt_1fc8b3b9a1e18e3b_9.0.30729.8387_none_08e793bfa83a89b5\MSVCR90.dll
>> LoadedModule[6]=C:\WINDOWS\system32\USER32.dll
>> LoadedModule[7]=C:\WINDOWS\system32\ADVAPI32.dll
>> LoadedModule[8]=C:\WINDOWS\system32\SHELL32.dll
>> LoadedModule[9]=C:\WINDOWS\system32\GDI32.dll
>> LoadedModule[10]=C:\WINDOWS\system32\msvcrt.dll
>> LoadedModule[11]=C:\WINDOWS\SYSTEM32\sechost.dll
>> LoadedModule[12]=C:\WINDOWS\system32\RPCRT4.dll
>> LoadedModule[13]=C:\WINDOWS\SYSTEM32\combase.dll
>> LoadedModule[14]=C:\WINDOWS\system32\SHLWAPI.dll
>> LoadedModule[15]=C:\WINDOWS\system32\IMM32.DLL
>> LoadedModule[16]=C:\WINDOWS\system32\MSCTF.dll
>> LoadedModule[17]=C:\Users\User\Anaconda\DLLs\_hashlib.pyd
>> LoadedModule[18]=C:\WINDOWS\SYSTEM32\CRYPTSP.dll
>> LoadedModule[19]=C:\WINDOWS\system32\rsaenh.dll
>> LoadedModule[20]=C:\WINDOWS\SYSTEM32\bcrypt.dll
>> LoadedModule[21]=C:\WINDOWS\SYSTEM32\CRYPTBASE.dll
>> LoadedModule[22]=C:\WINDOWS\SYSTEM32\bcryptPrimitives.dll
>> LoadedModule[23]=C:\Users\User\Anaconda\DLLs\_socket.pyd
>> LoadedModule[24]=C:\WINDOWS\system32\WS2_32.dll
>> LoadedModule[25]=C:\WINDOWS\system32\NSI.dll
>> LoadedModule[26]=C:\Users\User\Anaconda\DLLs\_ssl.pyd
>>
>> LoadedModule[27]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\multiarray.pyd
>>
>> LoadedModule[28]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\umath.pyd
>>
>> LoadedModule[29]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\_dotblas.pyd
>>
>> LoadedModule[30]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\libiomp5md.dll
>>
>> LoadedModule[31]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\scalarmath.pyd
>>
>> LoadedModule[32]=C:\Users\User\Anaconda\lib\site-packages\numpy\lib\_compiled_base.pyd
>>
>> LoadedModule[33]=C:\Users\User\Anaconda\lib\site-packages\numpy\linalg\lapack_lite.pyd
>>
>> LoadedModule[34]=C:\Users\User\Anaconda\lib\site-packages\numpy\linalg\_umath_linalg.pyd
>>
>> LoadedModule[35]=C:\Users\User\Anaconda\lib\site-packages\numpy\fft\fftpack_lite.pyd
>>
>> LoadedModule[36]=C:\Users\User\Anaconda\lib\site-packages\numpy\random\mtrand.pyd
>> LoadedModule[37]=C:\Users\User\Anaconda\DLLs\_ctypes.pyd
>> LoadedModule[38]=C:\WINDOWS\system32\ole32.dll
>> LoadedModule[39]=C:\WINDOWS\system32\OLEAUT32.dll
>>
>> LoadedModule[40]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_path.pyd
>>
>> LoadedModule[41]=C:\WINDOWS\WinSxS\amd64_microsoft.vc90.crt_1fc8b3b9a1e18e3b_9.0.30729.8387_none_08e793bfa83a89b5\MSVCP90.dll
>>
>> LoadedModule[42]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\ft2font.pyd
>> LoadedModule[43]=C:\Users\User\Anaconda\DLLs\unicodedata.pyd
>>
>> LoadedModule[44]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_png.pyd
>> LoadedModule[45]=C:\Users\User\Anaconda\DLLs\_tkinter.pyd
>> LoadedModule[46]=C:\Users\User\Anaconda\DLLs\tcl85.dll
>> LoadedModule[47]=C:\Users\User\Anaconda\DLLs\tk85.dll
>> LoadedModule[48]=C:\WINDOWS\system32\COMDLG32.dll
>>
>> LoadedModule[49]=C:\WINDOWS\WinSxS\amd64_microsoft.windows.common-controls_6595b64144ccf1df_5.82.9600.16384_none_34a8918f959016ea\COMCTL32.dll
>> LoadedModule[50]=C:\WINDOWS\SYSTEM32\SHCORE.DLL
>> LoadedModule[51]=C:\Users\User\Anaconda\lib\site-packages\PIL\_imaging.pyd
>>
>> LoadedModule[52]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_cntr.pyd
>>
>> LoadedModule[53]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_image.pyd
>>
>> LoadedModule[54]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_tri.pyd
>>
>> LoadedModule[55]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_qhull.pyd
>>
>> LoadedModule[56]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\backends\_backend_agg.pyd
>> LoadedModule[57]=C:\Users\User\Anaconda\lib\site-packages\sip.pyd
>> LoadedModule[58]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtCore.pyd
>>
>> LoadedModule[59]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtCore4.dll
>> LoadedModule[60]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtGui.pyd
>> LoadedModule[61]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtGui4.dll
>> LoadedModule[62]=C:\WINDOWS\SYSTEM32\WINMM.dll
>> LoadedModule[63]=C:\WINDOWS\SYSTEM32\WINSPOOL.DRV
>> LoadedModule[64]=C:\WINDOWS\SYSTEM32\WINMMBASE.dll
>> LoadedModule[65]=C:\WINDOWS\SYSTEM32\cfgmgr32.dll
>> LoadedModule[66]=C:\WINDOWS\SYSTEM32\DEVOBJ.dll
>> LoadedModule[67]=C:\WINDOWS\system32\uxtheme.dll
>> LoadedModule[68]=C:\WINDOWS\system32\dwmapi.dll
>> LoadedModule[69]=C:\WINDOWS\SYSTEM32\kernel.appcore.dll
>> FriendlyEventName=Stopped working
>> ConsentKey=APPCRASH
>> AppName=python.exe
>> AppPath=C:\Users\User\Anaconda\python.exe
>> NsPartner=windows
>> NsGroup=windows8
>> ApplicationIdentity=5B036AF1EC2E20F320DBF28D119DE93D
>>
>> On 13 November 2014 17:05, Benjamin Root <ben...@ou...> wrote:
>>
>>> Yeah, I am at a real loss here. Can you try one of the axes_grid1
>>> examples? Also, how about the basemap examples? Those are both mpl_toolkit
>>> packages as well and might behave similarly. Also, it would be interesting
>>> to figure out at exactly which step the failure happens. There is a package
>>> called "faulthandler" that is really useful for that:
>>> http://faulthandler.readthedocs.org/en/latest/ It is a bit limited on
>>> Windows, but it is better than nothing.
>>> Also, does it fail regardless if you are doing savefig() or show()?
>>>
>>> Unfortunately, the "traceback" info you provided doesn't seem to be
>>> encoded properly (or at least, not auto-detectable).
>>>
>>> Ben Root
>>>
>>> On Thu, Nov 13, 2014 at 4:57 PM, Geoffrey Mégardon <
>>> geo...@gm...> wrote:
>>>
>>>> That returns:
>>>> C:\Anaconda\lib\site-packages\matplotlib\__init__.pyc
>>>> C:\Anaconda\lib\site-packages\mpl_toolkits\mplot3d\__init__.pyc
>>>>
>>>> On 13 November 2014 16:40, Benjamin Root <ben...@ou...> wrote:
>>>>
>>>>> No OpenGL. The 3d graphics all goes through the same layering engine
>>>>> as the 2D plots. They aren't real 3D plots but rather what I like to call
>>>>> "2.1D" plots. A single point of a 3D element is chosen to determine how to
>>>>> layer it with everything else. So, it is very easy to get visualization
>>>>> artifacts, especially with polygons.
>>>>>
>>>>> Do this from python:
>>>>>
>>>>> import matplotlib
>>>>> import mpl_toolkits.mplot3d
>>>>> print matplotlib.__file__
>>>>> print mpl_toolkits.mplot3d.__file__
>>>>>
>>>>> And tell us what that returns.
>>>>>
>>>>> Cheers!
>>>>> Ben Root
>>>>>
>>>>>
>>>>>
>>>>> On Thu, Nov 13, 2014 at 3:49 PM, Paul Hobson <pmh...@gm...>
>>>>> wrote:
>>>>>
>>>>>> No clue about that. BTW, I'll i was suggestion was to create a new
>>>>>> conda enviorment:
>>>>>> > conda create --name=mpl3dtest matplotlib ipython-notebook python=3.4
>>>>>> ...
>>>>>> > activate mpl3dtest
>>>>>> > ipython notebook
>>>>>> > [test out 3d plotting]
>>>>>>
>>>>>>
>>>>>>
>>>>>> On Thu, Nov 13, 2014 at 12:44 PM, Geoffrey Mégardon <
>>>>>> geo...@gm...> wrote:
>>>>>>
>>>>>>> I uninstall and reinstall Anaconda.
>>>>>>> That still does not work :/
>>>>>>> Is it possible there is like OpenGL problem, graphic card driver
>>>>>>> problem, or something linked to  displaying 3d?
>>>>>>>
>>>>>>> On 13 November 2014 13:32, Paul Hobson <pmh...@gm...> wrote:
>>>>>>>
>>>>>>>> Does a fresh conda environment help?
>>>>>>>>
>>>>>>>> On Wed, Nov 12, 2014 at 5:38 PM, Geoffrey Mégardon <
>>>>>>>> geo...@gm...> wrote:
>>>>>>>>
>>>>>>>>> Yes, I may forget to tell, but this code is 100% working, it work
>>>>>>>>> on other installations I have. So the problem is not in the code.
>>>>>>>>>
>>>>>>>>> It is just that on my current laptop, I don't know why, this code,
>>>>>>>>> which tries to display a 3d plot, leads to a crash.
>>>>>>>>> Note that 2D plots work fine on their side.
>>>>>>>>>
>>>>>>>>> I have an other PC on windows 8.1, and everything work fine on it,
>>>>>>>>> I installed the same Anaconda 64-bit version.
>>>>>>>>>
>>>>>>>>> So it is something to do with my environment, but it is not linked
>>>>>>>>> to the OS itself, and it is linked with 3D displaying only I would say.
>>>>>>>>>
>>>>>>>>> Any idea? :)
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> On 12 November 2014 18:44, Jerzy Karczmarczuk <
>>>>>>>>> jer...@un...> wrote:
>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> Le 13/11/2014 00:13, Geoffrey Mégardon a écrit :
>>>>>>>>>>
>>>>>>>>>> ...
>>>>>>>>>>
>>>>>>>>>>>     But to create the 3D axes, to draw in it, and then to show
>>>>>>>>>>>> the figure, that crashes:
>>>>>>>>>>>>  from mpl_toolkits.mplot3d import axes3d
>>>>>>>>>>>> import matplotlib
>>>>>>>>>>>> matplotlib.use("agg")
>>>>>>>>>>>> import matplotlib.pyplot as plt
>>>>>>>>>>>>
>>>>>>>>>>>> fig = plt.figure()
>>>>>>>>>>>> ax = fig.add_subplot(111, projection='3d')
>>>>>>>>>>>> X, Y, Z = axes3d.get_test_data(0.05)
>>>>>>>>>>>> cset = ax.contour(X, Y, Z)
>>>>>>>>>>>> ax.clabel(cset, fontsize=9, inline=1)
>>>>>>>>>>>>
>>>>>>>>>>>> plt.show()
>>>>>>>>>>>>
>>>>>>>>>>>>
>>>>>>>>>>>> Basically on iPython QT console I would get an error like:
>>>>>>>>>>>> ""Kernel died, restarting""
>>>>>>>>>>>>
>>>>>>>>>>>    Perhaps it is your environment, not Matplotlib.
>>>>>>>>>> A copy-paste of this program run without problems on my system.
>>>>>>>>>> Anaconda 64 bits, IPython console (within Spyder).
>>>>>>>>>> But *Windows 7*, not 8.
>>>>>>>>>>
>>>>>>>>>> Jerzy Karczmarczuk
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> ------------------------------------------------------------------------------
>>>>>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>>>>>> Monitor 10 servers for $9/Month.
>>>>>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>>>>>> notifications.
>>>>>>>>>> Take corrective actions from your mobile device.
>>>>>>>>>>
>>>>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>>>>>> _______________________________________________
>>>>>>>>>> Matplotlib-users mailing list
>>>>>>>>>> Mat...@li...
>>>>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> --
>>>>>>>>> --
>>>>>>>>> MEGARDON Geoffrey
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> ------------------------------------------------------------------------------
>>>>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>>>>> Monitor 10 servers for $9/Month.
>>>>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>>>>> notifications.
>>>>>>>>> Take corrective actions from your mobile device.
>>>>>>>>>
>>>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>>>>> _______________________________________________
>>>>>>>>> Matplotlib-users mailing list
>>>>>>>>> Mat...@li...
>>>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>>>
>>>>>>>>>
>>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> --
>>>>>>> --
>>>>>>> MEGARDON Geoffrey
>>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> ------------------------------------------------------------------------------
>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>> Monitor 10 servers for $9/Month.
>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>> notifications.
>>>>>> Take corrective actions from your mobile device.
>>>>>>
>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>> _______________________________________________
>>>>>> Matplotlib-users mailing list
>>>>>> Mat...@li...
>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>
>>>>>>
>>>>>
>>>>
>>>>
>>>> --
>>>> --
>>>> MEGARDON Geoffrey
>>>>
>>>
>>>
>>
>>
>> --
>> --
>> MEGARDON Geoffrey
>>
>
>
>
> --
> --
> MEGARDON Geoffrey
>



-- 
--
MEGARDON Geoffrey

And it works perfectly, thank you very much!



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In your case don't use colorbar() function,

You can add a customized colorbar.

See these examples:
http://matplotlib.org/examples/api/colorbar_only.html
<http://matplotlib.org/examples/api/colorbar_only.html>  



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I think that "1e4" is a offset text, and not a part of ax2's yticklabels, so
any color or font settings for yticklabels will not affect it.

It's seems the offset text only uses matplotlib's default rcParams to draw, 
so my solution is to change rcParams.

Try add these 4 lines before your plot code:

import matplotlib as mpl
mpl.rcParams['ytick.labelsize']='18'
mpl.rcParams['ytick.color']='r'
mpl.rcParams['font.sans-serif']='Arial'

What you set here will become default settings of matplotlib.
For more details of rcParams, check this:
http://matplotlib.org/users/customizing.html
<http://matplotlib.org/users/customizing.html>  
I hope this will solve your problems.



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Can you provide a reproducible example?  There is not really enough here to
sort out what is going wrong or why it is going wrong.  Ideally the example
should be self contained (code + synthetic data).

What versions of mpl + numpy + python are you using everywhere?

Tom

On Fri Nov 14 2014 at 7:25:15 AM Torsten Bronger <
br...@ph...> wrote:

> Hallöchen!
>
> I've had a very odd observation today: I call matplotlib 1.3.1 from
> Django 1.7 code running on Apache under Ubuntu 14.04.  The relevant
> code is:
>
>     figure = Figure(frameon=False, figsize=(4, 3))
>     canvas = FigureCanvasAgg(figure)
>     axes = figure.add_subplot(111)
>     ...
>     canvas.print_figure(plot_filepath)
>
> The last command hangs.
>
> Funny enough, if I run the very same code on Django's testserver, it
> works.
>
> First, I thought of http://stackoverflow.com/questions/22337250 but
> this is not the case here.  I've really assured that "Agg" is used,
> also by providing a proper config file.
>
> The oddest part is, if I replace in matplotlib/scale.py, line 136,
>
>         return ma.power(10.0, a) / 10.0
>
> with
>
>         return np.power(10.0, a) / 10.0
>
> it works!
>
> Can anybody explain this?
>
> Regards,
> Torsten.
>
> --
> Torsten Bronger    Jabber ID: tor...@ja...
>                                   or http://bronger-jmp.appspot.com
>
>
> ------------------------------------------------------------
> ------------------
> Comprehensive Server Monitoring with Site24x7.
> Monitor 10 servers for $9/Month.
> Get alerted through email, SMS, voice calls or mobile push notifications.
> Take corrective actions from your mobile device.
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> iu=/4140/ostg.clktrk
> _______________________________________________
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> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Sorry for the delay. Here is an example I came across today using geopandas
and pysal:
http://nbviewer.ipython.org/github/geopandas/geopandas/blob/master/examples/choropleths.ipynb

Cheers!
Ben Root

On Fri, Oct 24, 2014 at 3:59 PM, Christian Alis <ia...@gm...> wrote:

> Hi Ben,
>
> Yes, indeed. I'm referring to a choropleth. :)
>
> Thanks,
>
> Christian
> On Oct 24, 2014 8:23 PM, "Benjamin Root" <ben...@ou...> wrote:
>
>> Do you mean choropleth? http://en.wikipedia.org/wiki/Choropleth_map
>>
>> On Fri, Oct 24, 2014 at 1:18 PM, ianalis <ia...@gm...> wrote:
>>
>>> I have been creating chloropleth maps in Python by adding patches and/or
>>> polygons in a matplotlib Axes but I'm looking for something easier to
>>> use.
>>>
>>> Ideally, the interface should be similar to how contour maps or
>>> pseudocolor
>>> plots are created where, at the minimum, only one call to a function is
>>> needed to create these plots from data. Colors are automatically assigned
>>> and normalized based on values. A colorbar can then be added by calling
>>> another function.
>>>
>>> So far, the closest package seems to be geopandas. Is there an another
>>> package that is nearer to what I want? That is, is there a package that
>>> can
>>> make a (basic) chloropleth of values stored as a dictionary, numpy array
>>> or
>>> pandas dataframe in one call?
>>>
>>> I'm willing to contribute code and help develop the chloropleth
>>> capability
>>> of a package since I currently end up creating my own function and
>>> manipulating Axes internals just to create a chloropleth.
>>>
>>>
>>>
>>> --
>>> View this message in context:
>>> http://matplotlib.1069221.n5.nabble.com/Easiest-way-to-create-a-chloropleth-in-Python-tp44195.html
>>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Mat...@li...
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>
>>

On 14/11/2014 16:02, Thomas Caswell wrote:
> The positions are stored in offsets, the array property is the color 
> mapping.
>

Thanks a lot!

Armando

On 14/11/2014 15:49, Benjamin Root wrote:
> It is possible. Those examples were merely showing different ways to 
> do similar things (and there are more ways to do it, btw). The 
> techniques can be used for different artist types. I guess the 
> important question is, do you need the *exact* coordinates of the artist,

Just in case my previous mail was confusing. I need the "exact" 
coordinates of the artist.

Armando

On 14/11/2014 15:49, Benjamin Root wrote:
> It is possible. Those examples were merely showing different ways to 
> do similar things (and there are more ways to do it, btw). The 
> techniques can be used for different artist types. I guess the 
> important question is, do you need the *exact* coordinates of the 
> artist, or just the coordinates where the mouse clicked? If it is just 
> the location of the mouse click, then the "xdata" and "ydata" 
> attributes should be all you need.
>
> For picking events, the event object will have an "artist" attribute 
> that will point to the artist that was "picked". For collection type 
> artists, there should be an "ind" attribute to the event object that 
> provides the index into the array held by the collection artist. You 
> can then index the data contained by the collection object already. 
> Different collection objects, unfortunately, have slightly different 
> getters. So, while some might have get_xdata() and get_ydata(), others 
> might have get_points() or something like that. I never get them 
> straight in my head.
>

yes, I know the exact coordinates of the marker. For lines is not a 
problem (using ind) but for a collection I have not found a built-in 
way. I have made a print(dir(artist)) and the only thing I found 
interesting was get_array(), but it gave me back None ...

Armando

It is possible. Those examples were merely showing different ways to do
similar things (and there are more ways to do it, btw). The techniques can
be used for different artist types. I guess the important question is, do
you need the *exact* coordinates of the artist, or just the coordinates
where the mouse clicked? If it is just the location of the mouse click,
then the "xdata" and "ydata" attributes should be all you need.

For picking events, the event object will have an "artist" attribute that
will point to the artist that was "picked". For collection type artists,
there should be an "ind" attribute to the event object that provides the
index into the array held by the collection artist. You can then index the
data contained by the collection object already. Different collection
objects, unfortunately, have slightly different getters. So, while some
might have get_xdata() and get_ydata(), others might have get_points() or
something like that. I never get them straight in my head.

Cheers!
Ben Root

<shameless_plug>There will be some useful examples of this and a deeper
explanation in my upcoming book on interactive matplotlib. Stay tuned to
this mailing list for announcements</shameless_plug>


On Fri, Nov 14, 2014 at 9:03 AM, V. Armando Sole <so...@es...> wrote:

> Hello,
>
> Looking at the picking demo:
>
> http://matplotlib.org/examples/event_handling/pick_event_demo.html
>
> I see that one can recover the coordinates from the picked artist in the
> case of images, and lines. However, in case 3 of the example (scatter
> plot) the x and y data have to be supplied in order to retrieve the
> coordinates. Is there a way to recover them from the artist? I got the
> (wrong?) feeling that the data must be hidden somewhere ... If that is
> not possible I'll have to keep a copy of the data used to generate the
> artist, but I would not like to do so.
>
> Any hint?
>
> Thanks,
>
> Armando
>
>
> ------------------------------------------------------------------------------
> Comprehensive Server Monitoring with Site24x7.
> Monitor 10 servers for $9/Month.
> Get alerted through email, SMS, voice calls or mobile push notifications.
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>

Hello,

Looking at the picking demo:

http://matplotlib.org/examples/event_handling/pick_event_demo.html

I see that one can recover the coordinates from the picked artist in the 
case of images, and lines. However, in case 3 of the example (scatter 
plot) the x and y data have to be supplied in order to retrieve the 
coordinates. Is there a way to recover them from the artist? I got the 
(wrong?) feeling that the data must be hidden somewhere ... If that is 
not possible I'll have to keep a copy of the data used to generate the 
artist, but I would not like to do so.

Any hint?

Thanks,

Armando

Most of my issues have been answered through previous posts, but this is such
a specific problem, that I can't find the answer anywhere. I'm new to
matplotlib and therefore learning some of the basic things. My code is:

import matplotlib
import matplotlib.pyplot as plt
import matplotlib.pylab as plb
import matplotlib.font_manager as font_manager
import numpy as np

#Changing font at once
##font = {'family' : 'monospace',
##        'weight' : 'bold',
##        'size'   : 18}
##matplotlib.rc('font', **font)

#Changing font individually
axis_font = {'fontname':'Arial', 'size':'18'}
font_path = 'C:\Windows\Fonts\Arial.ttf'
font_prop = font_manager.FontProperties(fname=font_path, size=20)

x = np.genfromtxt('test.txt',
skiprows=(3),usecols=(0),delimiter='',dtype=None)
y =
np.genfromtxt('test.txt',skiprows=(3),usecols=(1),delimiter='',dtype=None)
z =
np.genfromtxt('test.txt',skiprows=(3),usecols=(2),delimiter='',dtype=None)

fig, ax1 = plt.subplots()
ax1.errorbar(x, y, fmt = 'b-', linewidth=3.0, xerr = 0.0, yerr = z,
label="Linear")
ax1.set_xlabel('x-values', **axis_font)
ax1.set_ylabel('linear y-values', color='b', **axis_font)
for tl in ax1.get_yticklabels():
    tl.set_color('b')
ax1.legend(loc=2, prop=font_prop)
for label in (ax1.get_xticklabels() + ax1.get_yticklabels()):
    label.set_fontname('Arial')
    label.set_fontsize(18)

ax2 = ax1.twinx()
y2 = np.exp(x)
ax2.errorbar(x, y2, fmt = 'r-', linewidth=3.0, xerr = 0.0, yerr = 1000*z,
label="Exponential")
ax2.set_ylabel('exponential y-values', color='r', **axis_font)
for tl in ax2.get_yticklabels():
    tl.set_color('r')
ax2.legend(loc=1, prop=font_prop)
for label in ax2.get_yticklabels():
    label.set_fontname('Arial')
    label.set_fontsize(18)
#ax2.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax2.get_yaxis().get_major_formatter().set_powerlimits((2,2))

plb.savefig('test.png', bbox_inches='tight')
plt.show()

Which generates the plot shown below.

test.png <http://matplotlib.1069221.n5.nabble.com/file/n44376/test.png>  

Now the question is about the line (two ways of doing the same):
#ax2.ticklabel_format(axis='y', style='sci', scilimits=(-2,2))
ax2.get_yaxis().get_major_formatter().set_powerlimits((2,2))

As can be seen from the plot, the 1e4 has both a different size and color
than the rest of the y-axis. I have tried so many methods, but it just
remains the same no matter. Can anyone help?



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Hallöchen!

I've had a very odd observation today: I call matplotlib 1.3.1 from
Django 1.7 code running on Apache under Ubuntu 14.04.  The relevant
code is:

    figure = Figure(frameon=False, figsize=(4, 3))
    canvas = FigureCanvasAgg(figure)
    axes = figure.add_subplot(111)
    ...
    canvas.print_figure(plot_filepath)

The last command hangs.

Funny enough, if I run the very same code on Django's testserver, it
works.

First, I thought of http://stackoverflow.com/questions/22337250 but
this is not the case here.  I've really assured that "Agg" is used,
also by providing a proper config file.

The oddest part is, if I replace in matplotlib/scale.py, line 136,

        return ma.power(10.0, a) / 10.0

with

        return np.power(10.0, a) / 10.0

it works!

Can anybody explain this?

Regards,
Torsten.

-- 
Torsten Bronger    Jabber ID: tor...@ja...
                                  or http://bronger-jmp.appspot.com

sorry to double post,

I don't know if it is linked but Pycharms complains about Skeleton
Generation Problems, among the errors there is one which has matplotlib
inside:

*Failed modules*
Python 2.7.8 (C:\Anaconda\python.exe)
dde
matplotlib._cntr
win32ui
win32uiole
Generation of skeletons for the modules above will be tried again when the
modules are updated or a new version of generator is available

On 13 November 2014 17:35, Geoffrey Mégardon <geo...@gm...>
wrote:

> I will have a look to faulthandler but I never used it before.
>
> To use savefig() leads to the same crash.
>
> The two first examples on this pages work fine:
> http://matplotlib.org/mpl_toolkits/axes_grid/users/overview.html
>
> The first example from: http://matplotlib.org/basemap/users/examples.html
> send back an error telling I do not have a module Basemap:
> Traceback (most recent call last):
>   File "C:\Users\User\Google Drive\Work\tryAxesGrid.py", line 1, in
> <module>
>     from mpl_toolkits.basemap import Basemap
> ImportError: No module named basemap
>
> Here the previously cited traceback provided by windows 8.1:
>
> Version=1
> EventType=APPCRASH
> EventTime=130603719401981342
> ReportType=2
> Consent=1
> UploadTime=130603719404121474
> ReportIdentifier=4a8084e1-6b57-11e4-bebc-48d22435da2b
> IntegratorReportIdentifier=4a8084e0-6b57-11e4-bebc-48d22435da2b
> NsAppName=python.exe
> Response.type=4
> Sig[0].Name=Application Name
> Sig[0].Value=python.exe
> Sig[1].Name=Application Version
> Sig[1].Value=0.0.0.0
> Sig[2].Name=Application Timestamp
> Sig[2].Value=53b4679e
> Sig[3].Name=Fault Module Name
> Sig[3].Value=_dotblas.pyd
> Sig[4].Name=Fault Module Version
> Sig[4].Value=0.0.0.0
> Sig[5].Name=Fault Module Timestamp
> Sig[5].Value=545678cb
> Sig[6].Name=Exception Code
> Sig[6].Value=c000001d
> Sig[7].Name=Exception Offset
> Sig[7].Value=0000000000324022
> DynamicSig[1].Name=OS Version
> DynamicSig[1].Value=6.3.9600.2.0.0.768.101
> DynamicSig[2].Name=Locale ID
> DynamicSig[2].Value=2057
> DynamicSig[22].Name=Additional Information 1
> DynamicSig[22].Value=00a8
> DynamicSig[23].Name=Additional Information 2
> DynamicSig[23].Value=00a81cae033b06467abfa2fb5dae54f2
> DynamicSig[24].Name=Additional Information 3
> DynamicSig[24].Value=bca9
> DynamicSig[25].Name=Additional Information 4
> DynamicSig[25].Value=bca99a98a9c8e88898e6500171ba1359
> UI[2]=C:\Users\User\Anaconda\python.exe
> UI[3]=python.exe has stopped working
> UI[4]=Windows can check online for a solution to the problem.
> UI[5]=Check online for a solution and close the program
> UI[6]=Check online for a solution later and close the program
> UI[7]=Close the program
> LoadedModule[0]=C:\Users\User\Anaconda\python.exe
> LoadedModule[1]=C:\WINDOWS\SYSTEM32\ntdll.dll
> LoadedModule[2]=C:\WINDOWS\system32\KERNEL32.DLL
> LoadedModule[3]=C:\WINDOWS\system32\KERNELBASE.dll
> LoadedModule[4]=C:\Users\User\Anaconda\python27.dll
>
> LoadedModule[5]=C:\WINDOWS\WinSxS\amd64_microsoft.vc90.crt_1fc8b3b9a1e18e3b_9.0.30729.8387_none_08e793bfa83a89b5\MSVCR90.dll
> LoadedModule[6]=C:\WINDOWS\system32\USER32.dll
> LoadedModule[7]=C:\WINDOWS\system32\ADVAPI32.dll
> LoadedModule[8]=C:\WINDOWS\system32\SHELL32.dll
> LoadedModule[9]=C:\WINDOWS\system32\GDI32.dll
> LoadedModule[10]=C:\WINDOWS\system32\msvcrt.dll
> LoadedModule[11]=C:\WINDOWS\SYSTEM32\sechost.dll
> LoadedModule[12]=C:\WINDOWS\system32\RPCRT4.dll
> LoadedModule[13]=C:\WINDOWS\SYSTEM32\combase.dll
> LoadedModule[14]=C:\WINDOWS\system32\SHLWAPI.dll
> LoadedModule[15]=C:\WINDOWS\system32\IMM32.DLL
> LoadedModule[16]=C:\WINDOWS\system32\MSCTF.dll
> LoadedModule[17]=C:\Users\User\Anaconda\DLLs\_hashlib.pyd
> LoadedModule[18]=C:\WINDOWS\SYSTEM32\CRYPTSP.dll
> LoadedModule[19]=C:\WINDOWS\system32\rsaenh.dll
> LoadedModule[20]=C:\WINDOWS\SYSTEM32\bcrypt.dll
> LoadedModule[21]=C:\WINDOWS\SYSTEM32\CRYPTBASE.dll
> LoadedModule[22]=C:\WINDOWS\SYSTEM32\bcryptPrimitives.dll
> LoadedModule[23]=C:\Users\User\Anaconda\DLLs\_socket.pyd
> LoadedModule[24]=C:\WINDOWS\system32\WS2_32.dll
> LoadedModule[25]=C:\WINDOWS\system32\NSI.dll
> LoadedModule[26]=C:\Users\User\Anaconda\DLLs\_ssl.pyd
>
> LoadedModule[27]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\multiarray.pyd
>
> LoadedModule[28]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\umath.pyd
>
> LoadedModule[29]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\_dotblas.pyd
>
> LoadedModule[30]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\libiomp5md.dll
>
> LoadedModule[31]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\scalarmath.pyd
>
> LoadedModule[32]=C:\Users\User\Anaconda\lib\site-packages\numpy\lib\_compiled_base.pyd
>
> LoadedModule[33]=C:\Users\User\Anaconda\lib\site-packages\numpy\linalg\lapack_lite.pyd
>
> LoadedModule[34]=C:\Users\User\Anaconda\lib\site-packages\numpy\linalg\_umath_linalg.pyd
>
> LoadedModule[35]=C:\Users\User\Anaconda\lib\site-packages\numpy\fft\fftpack_lite.pyd
>
> LoadedModule[36]=C:\Users\User\Anaconda\lib\site-packages\numpy\random\mtrand.pyd
> LoadedModule[37]=C:\Users\User\Anaconda\DLLs\_ctypes.pyd
> LoadedModule[38]=C:\WINDOWS\system32\ole32.dll
> LoadedModule[39]=C:\WINDOWS\system32\OLEAUT32.dll
>
> LoadedModule[40]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_path.pyd
>
> LoadedModule[41]=C:\WINDOWS\WinSxS\amd64_microsoft.vc90.crt_1fc8b3b9a1e18e3b_9.0.30729.8387_none_08e793bfa83a89b5\MSVCP90.dll
>
> LoadedModule[42]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\ft2font.pyd
> LoadedModule[43]=C:\Users\User\Anaconda\DLLs\unicodedata.pyd
>
> LoadedModule[44]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_png.pyd
> LoadedModule[45]=C:\Users\User\Anaconda\DLLs\_tkinter.pyd
> LoadedModule[46]=C:\Users\User\Anaconda\DLLs\tcl85.dll
> LoadedModule[47]=C:\Users\User\Anaconda\DLLs\tk85.dll
> LoadedModule[48]=C:\WINDOWS\system32\COMDLG32.dll
>
> LoadedModule[49]=C:\WINDOWS\WinSxS\amd64_microsoft.windows.common-controls_6595b64144ccf1df_5.82.9600.16384_none_34a8918f959016ea\COMCTL32.dll
> LoadedModule[50]=C:\WINDOWS\SYSTEM32\SHCORE.DLL
> LoadedModule[51]=C:\Users\User\Anaconda\lib\site-packages\PIL\_imaging.pyd
>
> LoadedModule[52]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_cntr.pyd
>
> LoadedModule[53]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_image.pyd
>
> LoadedModule[54]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_tri.pyd
>
> LoadedModule[55]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_qhull.pyd
>
> LoadedModule[56]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\backends\_backend_agg.pyd
> LoadedModule[57]=C:\Users\User\Anaconda\lib\site-packages\sip.pyd
> LoadedModule[58]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtCore.pyd
> LoadedModule[59]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtCore4.dll
> LoadedModule[60]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtGui.pyd
> LoadedModule[61]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtGui4.dll
> LoadedModule[62]=C:\WINDOWS\SYSTEM32\WINMM.dll
> LoadedModule[63]=C:\WINDOWS\SYSTEM32\WINSPOOL.DRV
> LoadedModule[64]=C:\WINDOWS\SYSTEM32\WINMMBASE.dll
> LoadedModule[65]=C:\WINDOWS\SYSTEM32\cfgmgr32.dll
> LoadedModule[66]=C:\WINDOWS\SYSTEM32\DEVOBJ.dll
> LoadedModule[67]=C:\WINDOWS\system32\uxtheme.dll
> LoadedModule[68]=C:\WINDOWS\system32\dwmapi.dll
> LoadedModule[69]=C:\WINDOWS\SYSTEM32\kernel.appcore.dll
> FriendlyEventName=Stopped working
> ConsentKey=APPCRASH
> AppName=python.exe
> AppPath=C:\Users\User\Anaconda\python.exe
> NsPartner=windows
> NsGroup=windows8
> ApplicationIdentity=5B036AF1EC2E20F320DBF28D119DE93D
>
> On 13 November 2014 17:05, Benjamin Root <ben...@ou...> wrote:
>
>> Yeah, I am at a real loss here. Can you try one of the axes_grid1
>> examples? Also, how about the basemap examples? Those are both mpl_toolkit
>> packages as well and might behave similarly. Also, it would be interesting
>> to figure out at exactly which step the failure happens. There is a package
>> called "faulthandler" that is really useful for that:
>> http://faulthandler.readthedocs.org/en/latest/ It is a bit limited on
>> Windows, but it is better than nothing.
>> Also, does it fail regardless if you are doing savefig() or show()?
>>
>> Unfortunately, the "traceback" info you provided doesn't seem to be
>> encoded properly (or at least, not auto-detectable).
>>
>> Ben Root
>>
>> On Thu, Nov 13, 2014 at 4:57 PM, Geoffrey Mégardon <
>> geo...@gm...> wrote:
>>
>>> That returns:
>>> C:\Anaconda\lib\site-packages\matplotlib\__init__.pyc
>>> C:\Anaconda\lib\site-packages\mpl_toolkits\mplot3d\__init__.pyc
>>>
>>> On 13 November 2014 16:40, Benjamin Root <ben...@ou...> wrote:
>>>
>>>> No OpenGL. The 3d graphics all goes through the same layering engine as
>>>> the 2D plots. They aren't real 3D plots but rather what I like to call
>>>> "2.1D" plots. A single point of a 3D element is chosen to determine how to
>>>> layer it with everything else. So, it is very easy to get visualization
>>>> artifacts, especially with polygons.
>>>>
>>>> Do this from python:
>>>>
>>>> import matplotlib
>>>> import mpl_toolkits.mplot3d
>>>> print matplotlib.__file__
>>>> print mpl_toolkits.mplot3d.__file__
>>>>
>>>> And tell us what that returns.
>>>>
>>>> Cheers!
>>>> Ben Root
>>>>
>>>>
>>>>
>>>> On Thu, Nov 13, 2014 at 3:49 PM, Paul Hobson <pmh...@gm...>
>>>> wrote:
>>>>
>>>>> No clue about that. BTW, I'll i was suggestion was to create a new
>>>>> conda enviorment:
>>>>> > conda create --name=mpl3dtest matplotlib ipython-notebook python=3.4
>>>>> ...
>>>>> > activate mpl3dtest
>>>>> > ipython notebook
>>>>> > [test out 3d plotting]
>>>>>
>>>>>
>>>>>
>>>>> On Thu, Nov 13, 2014 at 12:44 PM, Geoffrey Mégardon <
>>>>> geo...@gm...> wrote:
>>>>>
>>>>>> I uninstall and reinstall Anaconda.
>>>>>> That still does not work :/
>>>>>> Is it possible there is like OpenGL problem, graphic card driver
>>>>>> problem, or something linked to  displaying 3d?
>>>>>>
>>>>>> On 13 November 2014 13:32, Paul Hobson <pmh...@gm...> wrote:
>>>>>>
>>>>>>> Does a fresh conda environment help?
>>>>>>>
>>>>>>> On Wed, Nov 12, 2014 at 5:38 PM, Geoffrey Mégardon <
>>>>>>> geo...@gm...> wrote:
>>>>>>>
>>>>>>>> Yes, I may forget to tell, but this code is 100% working, it work
>>>>>>>> on other installations I have. So the problem is not in the code.
>>>>>>>>
>>>>>>>> It is just that on my current laptop, I don't know why, this code,
>>>>>>>> which tries to display a 3d plot, leads to a crash.
>>>>>>>> Note that 2D plots work fine on their side.
>>>>>>>>
>>>>>>>> I have an other PC on windows 8.1, and everything work fine on it,
>>>>>>>> I installed the same Anaconda 64-bit version.
>>>>>>>>
>>>>>>>> So it is something to do with my environment, but it is not linked
>>>>>>>> to the OS itself, and it is linked with 3D displaying only I would say.
>>>>>>>>
>>>>>>>> Any idea? :)
>>>>>>>>
>>>>>>>>
>>>>>>>> On 12 November 2014 18:44, Jerzy Karczmarczuk <
>>>>>>>> jer...@un...> wrote:
>>>>>>>>
>>>>>>>>>
>>>>>>>>> Le 13/11/2014 00:13, Geoffrey Mégardon a écrit :
>>>>>>>>>
>>>>>>>>> ...
>>>>>>>>>
>>>>>>>>>>     But to create the 3D axes, to draw in it, and then to show
>>>>>>>>>>> the figure, that crashes:
>>>>>>>>>>>  from mpl_toolkits.mplot3d import axes3d
>>>>>>>>>>> import matplotlib
>>>>>>>>>>> matplotlib.use("agg")
>>>>>>>>>>> import matplotlib.pyplot as plt
>>>>>>>>>>>
>>>>>>>>>>> fig = plt.figure()
>>>>>>>>>>> ax = fig.add_subplot(111, projection='3d')
>>>>>>>>>>> X, Y, Z = axes3d.get_test_data(0.05)
>>>>>>>>>>> cset = ax.contour(X, Y, Z)
>>>>>>>>>>> ax.clabel(cset, fontsize=9, inline=1)
>>>>>>>>>>>
>>>>>>>>>>> plt.show()
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>> Basically on iPython QT console I would get an error like:
>>>>>>>>>>> ""Kernel died, restarting""
>>>>>>>>>>>
>>>>>>>>>>    Perhaps it is your environment, not Matplotlib.
>>>>>>>>> A copy-paste of this program run without problems on my system.
>>>>>>>>> Anaconda 64 bits, IPython console (within Spyder).
>>>>>>>>> But *Windows 7*, not 8.
>>>>>>>>>
>>>>>>>>> Jerzy Karczmarczuk
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> ------------------------------------------------------------------------------
>>>>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>>>>> Monitor 10 servers for $9/Month.
>>>>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>>>>> notifications.
>>>>>>>>> Take corrective actions from your mobile device.
>>>>>>>>>
>>>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>>>>> _______________________________________________
>>>>>>>>> Matplotlib-users mailing list
>>>>>>>>> Mat...@li...
>>>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>>>
>>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>> --
>>>>>>>> --
>>>>>>>> MEGARDON Geoffrey
>>>>>>>>
>>>>>>>>
>>>>>>>> ------------------------------------------------------------------------------
>>>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>>>> Monitor 10 servers for $9/Month.
>>>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>>>> notifications.
>>>>>>>> Take corrective actions from your mobile device.
>>>>>>>>
>>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>>>> _______________________________________________
>>>>>>>> Matplotlib-users mailing list
>>>>>>>> Mat...@li...
>>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>>
>>>>>>>>
>>>>>>>
>>>>>>
>>>>>>
>>>>>> --
>>>>>> --
>>>>>> MEGARDON Geoffrey
>>>>>>
>>>>>
>>>>>
>>>>>
>>>>> ------------------------------------------------------------------------------
>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>> Monitor 10 servers for $9/Month.
>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>> notifications.
>>>>> Take corrective actions from your mobile device.
>>>>>
>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>> _______________________________________________
>>>>> Matplotlib-users mailing list
>>>>> Mat...@li...
>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>
>>>>>
>>>>
>>>
>>>
>>> --
>>> --
>>> MEGARDON Geoffrey
>>>
>>
>>
>
>
> --
> --
> MEGARDON Geoffrey
>



-- 
--
MEGARDON Geoffrey

I will have a look to faulthandler but I never used it before.

To use savefig() leads to the same crash.

The two first examples on this pages work fine:
http://matplotlib.org/mpl_toolkits/axes_grid/users/overview.html

The first example from: http://matplotlib.org/basemap/users/examples.html
send back an error telling I do not have a module Basemap:
Traceback (most recent call last):
  File "C:\Users\User\Google Drive\Work\tryAxesGrid.py", line 1, in <module>
    from mpl_toolkits.basemap import Basemap
ImportError: No module named basemap

Here the previously cited traceback provided by windows 8.1:

Version=1
EventType=APPCRASH
EventTime=130603719401981342
ReportType=2
Consent=1
UploadTime=130603719404121474
ReportIdentifier=4a8084e1-6b57-11e4-bebc-48d22435da2b
IntegratorReportIdentifier=4a8084e0-6b57-11e4-bebc-48d22435da2b
NsAppName=python.exe
Response.type=4
Sig[0].Name=Application Name
Sig[0].Value=python.exe
Sig[1].Name=Application Version
Sig[1].Value=0.0.0.0
Sig[2].Name=Application Timestamp
Sig[2].Value=53b4679e
Sig[3].Name=Fault Module Name
Sig[3].Value=_dotblas.pyd
Sig[4].Name=Fault Module Version
Sig[4].Value=0.0.0.0
Sig[5].Name=Fault Module Timestamp
Sig[5].Value=545678cb
Sig[6].Name=Exception Code
Sig[6].Value=c000001d
Sig[7].Name=Exception Offset
Sig[7].Value=0000000000324022
DynamicSig[1].Name=OS Version
DynamicSig[1].Value=6.3.9600.2.0.0.768.101
DynamicSig[2].Name=Locale ID
DynamicSig[2].Value=2057
DynamicSig[22].Name=Additional Information 1
DynamicSig[22].Value=00a8
DynamicSig[23].Name=Additional Information 2
DynamicSig[23].Value=00a81cae033b06467abfa2fb5dae54f2
DynamicSig[24].Name=Additional Information 3
DynamicSig[24].Value=bca9
DynamicSig[25].Name=Additional Information 4
DynamicSig[25].Value=bca99a98a9c8e88898e6500171ba1359
UI[2]=C:\Users\User\Anaconda\python.exe
UI[3]=python.exe has stopped working
UI[4]=Windows can check online for a solution to the problem.
UI[5]=Check online for a solution and close the program
UI[6]=Check online for a solution later and close the program
UI[7]=Close the program
LoadedModule[0]=C:\Users\User\Anaconda\python.exe
LoadedModule[1]=C:\WINDOWS\SYSTEM32\ntdll.dll
LoadedModule[2]=C:\WINDOWS\system32\KERNEL32.DLL
LoadedModule[3]=C:\WINDOWS\system32\KERNELBASE.dll
LoadedModule[4]=C:\Users\User\Anaconda\python27.dll
LoadedModule[5]=C:\WINDOWS\WinSxS\amd64_microsoft.vc90.crt_1fc8b3b9a1e18e3b_9.0.30729.8387_none_08e793bfa83a89b5\MSVCR90.dll
LoadedModule[6]=C:\WINDOWS\system32\USER32.dll
LoadedModule[7]=C:\WINDOWS\system32\ADVAPI32.dll
LoadedModule[8]=C:\WINDOWS\system32\SHELL32.dll
LoadedModule[9]=C:\WINDOWS\system32\GDI32.dll
LoadedModule[10]=C:\WINDOWS\system32\msvcrt.dll
LoadedModule[11]=C:\WINDOWS\SYSTEM32\sechost.dll
LoadedModule[12]=C:\WINDOWS\system32\RPCRT4.dll
LoadedModule[13]=C:\WINDOWS\SYSTEM32\combase.dll
LoadedModule[14]=C:\WINDOWS\system32\SHLWAPI.dll
LoadedModule[15]=C:\WINDOWS\system32\IMM32.DLL
LoadedModule[16]=C:\WINDOWS\system32\MSCTF.dll
LoadedModule[17]=C:\Users\User\Anaconda\DLLs\_hashlib.pyd
LoadedModule[18]=C:\WINDOWS\SYSTEM32\CRYPTSP.dll
LoadedModule[19]=C:\WINDOWS\system32\rsaenh.dll
LoadedModule[20]=C:\WINDOWS\SYSTEM32\bcrypt.dll
LoadedModule[21]=C:\WINDOWS\SYSTEM32\CRYPTBASE.dll
LoadedModule[22]=C:\WINDOWS\SYSTEM32\bcryptPrimitives.dll
LoadedModule[23]=C:\Users\User\Anaconda\DLLs\_socket.pyd
LoadedModule[24]=C:\WINDOWS\system32\WS2_32.dll
LoadedModule[25]=C:\WINDOWS\system32\NSI.dll
LoadedModule[26]=C:\Users\User\Anaconda\DLLs\_ssl.pyd
LoadedModule[27]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\multiarray.pyd
LoadedModule[28]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\umath.pyd
LoadedModule[29]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\_dotblas.pyd
LoadedModule[30]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\libiomp5md.dll
LoadedModule[31]=C:\Users\User\Anaconda\lib\site-packages\numpy\core\scalarmath.pyd
LoadedModule[32]=C:\Users\User\Anaconda\lib\site-packages\numpy\lib\_compiled_base.pyd
LoadedModule[33]=C:\Users\User\Anaconda\lib\site-packages\numpy\linalg\lapack_lite.pyd
LoadedModule[34]=C:\Users\User\Anaconda\lib\site-packages\numpy\linalg\_umath_linalg.pyd
LoadedModule[35]=C:\Users\User\Anaconda\lib\site-packages\numpy\fft\fftpack_lite.pyd
LoadedModule[36]=C:\Users\User\Anaconda\lib\site-packages\numpy\random\mtrand.pyd
LoadedModule[37]=C:\Users\User\Anaconda\DLLs\_ctypes.pyd
LoadedModule[38]=C:\WINDOWS\system32\ole32.dll
LoadedModule[39]=C:\WINDOWS\system32\OLEAUT32.dll
LoadedModule[40]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_path.pyd
LoadedModule[41]=C:\WINDOWS\WinSxS\amd64_microsoft.vc90.crt_1fc8b3b9a1e18e3b_9.0.30729.8387_none_08e793bfa83a89b5\MSVCP90.dll
LoadedModule[42]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\ft2font.pyd
LoadedModule[43]=C:\Users\User\Anaconda\DLLs\unicodedata.pyd
LoadedModule[44]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_png.pyd
LoadedModule[45]=C:\Users\User\Anaconda\DLLs\_tkinter.pyd
LoadedModule[46]=C:\Users\User\Anaconda\DLLs\tcl85.dll
LoadedModule[47]=C:\Users\User\Anaconda\DLLs\tk85.dll
LoadedModule[48]=C:\WINDOWS\system32\COMDLG32.dll
LoadedModule[49]=C:\WINDOWS\WinSxS\amd64_microsoft.windows.common-controls_6595b64144ccf1df_5.82.9600.16384_none_34a8918f959016ea\COMCTL32.dll
LoadedModule[50]=C:\WINDOWS\SYSTEM32\SHCORE.DLL
LoadedModule[51]=C:\Users\User\Anaconda\lib\site-packages\PIL\_imaging.pyd
LoadedModule[52]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_cntr.pyd
LoadedModule[53]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_image.pyd
LoadedModule[54]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_tri.pyd
LoadedModule[55]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\_qhull.pyd
LoadedModule[56]=C:\Users\User\Anaconda\lib\site-packages\matplotlib\backends\_backend_agg.pyd
LoadedModule[57]=C:\Users\User\Anaconda\lib\site-packages\sip.pyd
LoadedModule[58]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtCore.pyd
LoadedModule[59]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtCore4.dll
LoadedModule[60]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtGui.pyd
LoadedModule[61]=C:\Users\User\Anaconda\lib\site-packages\PyQt4\QtGui4.dll
LoadedModule[62]=C:\WINDOWS\SYSTEM32\WINMM.dll
LoadedModule[63]=C:\WINDOWS\SYSTEM32\WINSPOOL.DRV
LoadedModule[64]=C:\WINDOWS\SYSTEM32\WINMMBASE.dll
LoadedModule[65]=C:\WINDOWS\SYSTEM32\cfgmgr32.dll
LoadedModule[66]=C:\WINDOWS\SYSTEM32\DEVOBJ.dll
LoadedModule[67]=C:\WINDOWS\system32\uxtheme.dll
LoadedModule[68]=C:\WINDOWS\system32\dwmapi.dll
LoadedModule[69]=C:\WINDOWS\SYSTEM32\kernel.appcore.dll
FriendlyEventName=Stopped working
ConsentKey=APPCRASH
AppName=python.exe
AppPath=C:\Users\User\Anaconda\python.exe
NsPartner=windows
NsGroup=windows8
ApplicationIdentity=5B036AF1EC2E20F320DBF28D119DE93D

On 13 November 2014 17:05, Benjamin Root <ben...@ou...> wrote:

> Yeah, I am at a real loss here. Can you try one of the axes_grid1
> examples? Also, how about the basemap examples? Those are both mpl_toolkit
> packages as well and might behave similarly. Also, it would be interesting
> to figure out at exactly which step the failure happens. There is a package
> called "faulthandler" that is really useful for that:
> http://faulthandler.readthedocs.org/en/latest/ It is a bit limited on
> Windows, but it is better than nothing.
> Also, does it fail regardless if you are doing savefig() or show()?
>
> Unfortunately, the "traceback" info you provided doesn't seem to be
> encoded properly (or at least, not auto-detectable).
>
> Ben Root
>
> On Thu, Nov 13, 2014 at 4:57 PM, Geoffrey Mégardon <
> geo...@gm...> wrote:
>
>> That returns:
>> C:\Anaconda\lib\site-packages\matplotlib\__init__.pyc
>> C:\Anaconda\lib\site-packages\mpl_toolkits\mplot3d\__init__.pyc
>>
>> On 13 November 2014 16:40, Benjamin Root <ben...@ou...> wrote:
>>
>>> No OpenGL. The 3d graphics all goes through the same layering engine as
>>> the 2D plots. They aren't real 3D plots but rather what I like to call
>>> "2.1D" plots. A single point of a 3D element is chosen to determine how to
>>> layer it with everything else. So, it is very easy to get visualization
>>> artifacts, especially with polygons.
>>>
>>> Do this from python:
>>>
>>> import matplotlib
>>> import mpl_toolkits.mplot3d
>>> print matplotlib.__file__
>>> print mpl_toolkits.mplot3d.__file__
>>>
>>> And tell us what that returns.
>>>
>>> Cheers!
>>> Ben Root
>>>
>>>
>>>
>>> On Thu, Nov 13, 2014 at 3:49 PM, Paul Hobson <pmh...@gm...> wrote:
>>>
>>>> No clue about that. BTW, I'll i was suggestion was to create a new
>>>> conda enviorment:
>>>> > conda create --name=mpl3dtest matplotlib ipython-notebook python=3.4
>>>> ...
>>>> > activate mpl3dtest
>>>> > ipython notebook
>>>> > [test out 3d plotting]
>>>>
>>>>
>>>>
>>>> On Thu, Nov 13, 2014 at 12:44 PM, Geoffrey Mégardon <
>>>> geo...@gm...> wrote:
>>>>
>>>>> I uninstall and reinstall Anaconda.
>>>>> That still does not work :/
>>>>> Is it possible there is like OpenGL problem, graphic card driver
>>>>> problem, or something linked to  displaying 3d?
>>>>>
>>>>> On 13 November 2014 13:32, Paul Hobson <pmh...@gm...> wrote:
>>>>>
>>>>>> Does a fresh conda environment help?
>>>>>>
>>>>>> On Wed, Nov 12, 2014 at 5:38 PM, Geoffrey Mégardon <
>>>>>> geo...@gm...> wrote:
>>>>>>
>>>>>>> Yes, I may forget to tell, but this code is 100% working, it work on
>>>>>>> other installations I have. So the problem is not in the code.
>>>>>>>
>>>>>>> It is just that on my current laptop, I don't know why, this code,
>>>>>>> which tries to display a 3d plot, leads to a crash.
>>>>>>> Note that 2D plots work fine on their side.
>>>>>>>
>>>>>>> I have an other PC on windows 8.1, and everything work fine on it, I
>>>>>>> installed the same Anaconda 64-bit version.
>>>>>>>
>>>>>>> So it is something to do with my environment, but it is not linked
>>>>>>> to the OS itself, and it is linked with 3D displaying only I would say.
>>>>>>>
>>>>>>> Any idea? :)
>>>>>>>
>>>>>>>
>>>>>>> On 12 November 2014 18:44, Jerzy Karczmarczuk <
>>>>>>> jer...@un...> wrote:
>>>>>>>
>>>>>>>>
>>>>>>>> Le 13/11/2014 00:13, Geoffrey Mégardon a écrit :
>>>>>>>>
>>>>>>>> ...
>>>>>>>>
>>>>>>>>>     But to create the 3D axes, to draw in it, and then to show
>>>>>>>>>> the figure, that crashes:
>>>>>>>>>>  from mpl_toolkits.mplot3d import axes3d
>>>>>>>>>> import matplotlib
>>>>>>>>>> matplotlib.use("agg")
>>>>>>>>>> import matplotlib.pyplot as plt
>>>>>>>>>>
>>>>>>>>>> fig = plt.figure()
>>>>>>>>>> ax = fig.add_subplot(111, projection='3d')
>>>>>>>>>> X, Y, Z = axes3d.get_test_data(0.05)
>>>>>>>>>> cset = ax.contour(X, Y, Z)
>>>>>>>>>> ax.clabel(cset, fontsize=9, inline=1)
>>>>>>>>>>
>>>>>>>>>> plt.show()
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> Basically on iPython QT console I would get an error like:
>>>>>>>>>> ""Kernel died, restarting""
>>>>>>>>>>
>>>>>>>>>    Perhaps it is your environment, not Matplotlib.
>>>>>>>> A copy-paste of this program run without problems on my system.
>>>>>>>> Anaconda 64 bits, IPython console (within Spyder).
>>>>>>>> But *Windows 7*, not 8.
>>>>>>>>
>>>>>>>> Jerzy Karczmarczuk
>>>>>>>>
>>>>>>>>
>>>>>>>> ------------------------------------------------------------------------------
>>>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>>>> Monitor 10 servers for $9/Month.
>>>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>>>> notifications.
>>>>>>>> Take corrective actions from your mobile device.
>>>>>>>>
>>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>>>> _______________________________________________
>>>>>>>> Matplotlib-users mailing list
>>>>>>>> Mat...@li...
>>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>>
>>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> --
>>>>>>> --
>>>>>>> MEGARDON Geoffrey
>>>>>>>
>>>>>>>
>>>>>>> ------------------------------------------------------------------------------
>>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>>> Monitor 10 servers for $9/Month.
>>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>>> notifications.
>>>>>>> Take corrective actions from your mobile device.
>>>>>>>
>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>>> _______________________________________________
>>>>>>> Matplotlib-users mailing list
>>>>>>> Mat...@li...
>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>
>>>>>>>
>>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> --
>>>>> MEGARDON Geoffrey
>>>>>
>>>>
>>>>
>>>>
>>>> ------------------------------------------------------------------------------
>>>> Comprehensive Server Monitoring with Site24x7.
>>>> Monitor 10 servers for $9/Month.
>>>> Get alerted through email, SMS, voice calls or mobile push
>>>> notifications.
>>>> Take corrective actions from your mobile device.
>>>>
>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>> _______________________________________________
>>>> Matplotlib-users mailing list
>>>> Mat...@li...
>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>
>>>>
>>>
>>
>>
>> --
>> --
>> MEGARDON Geoffrey
>>
>
>


-- 
--
MEGARDON Geoffrey

Yeah, I am at a real loss here. Can you try one of the axes_grid1 examples?
Also, how about the basemap examples? Those are both mpl_toolkit packages
as well and might behave similarly. Also, it would be interesting to figure
out at exactly which step the failure happens. There is a package called
"faulthandler" that is really useful for that:
http://faulthandler.readthedocs.org/en/latest/ It is a bit limited on
Windows, but it is better than nothing.
Also, does it fail regardless if you are doing savefig() or show()?

Unfortunately, the "traceback" info you provided doesn't seem to be encoded
properly (or at least, not auto-detectable).

Ben Root

On Thu, Nov 13, 2014 at 4:57 PM, Geoffrey Mégardon <
geo...@gm...> wrote:

> That returns:
> C:\Anaconda\lib\site-packages\matplotlib\__init__.pyc
> C:\Anaconda\lib\site-packages\mpl_toolkits\mplot3d\__init__.pyc
>
> On 13 November 2014 16:40, Benjamin Root <ben...@ou...> wrote:
>
>> No OpenGL. The 3d graphics all goes through the same layering engine as
>> the 2D plots. They aren't real 3D plots but rather what I like to call
>> "2.1D" plots. A single point of a 3D element is chosen to determine how to
>> layer it with everything else. So, it is very easy to get visualization
>> artifacts, especially with polygons.
>>
>> Do this from python:
>>
>> import matplotlib
>> import mpl_toolkits.mplot3d
>> print matplotlib.__file__
>> print mpl_toolkits.mplot3d.__file__
>>
>> And tell us what that returns.
>>
>> Cheers!
>> Ben Root
>>
>>
>>
>> On Thu, Nov 13, 2014 at 3:49 PM, Paul Hobson <pmh...@gm...> wrote:
>>
>>> No clue about that. BTW, I'll i was suggestion was to create a new conda
>>> enviorment:
>>> > conda create --name=mpl3dtest matplotlib ipython-notebook python=3.4
>>> ...
>>> > activate mpl3dtest
>>> > ipython notebook
>>> > [test out 3d plotting]
>>>
>>>
>>>
>>> On Thu, Nov 13, 2014 at 12:44 PM, Geoffrey Mégardon <
>>> geo...@gm...> wrote:
>>>
>>>> I uninstall and reinstall Anaconda.
>>>> That still does not work :/
>>>> Is it possible there is like OpenGL problem, graphic card driver
>>>> problem, or something linked to  displaying 3d?
>>>>
>>>> On 13 November 2014 13:32, Paul Hobson <pmh...@gm...> wrote:
>>>>
>>>>> Does a fresh conda environment help?
>>>>>
>>>>> On Wed, Nov 12, 2014 at 5:38 PM, Geoffrey Mégardon <
>>>>> geo...@gm...> wrote:
>>>>>
>>>>>> Yes, I may forget to tell, but this code is 100% working, it work on
>>>>>> other installations I have. So the problem is not in the code.
>>>>>>
>>>>>> It is just that on my current laptop, I don't know why, this code,
>>>>>> which tries to display a 3d plot, leads to a crash.
>>>>>> Note that 2D plots work fine on their side.
>>>>>>
>>>>>> I have an other PC on windows 8.1, and everything work fine on it, I
>>>>>> installed the same Anaconda 64-bit version.
>>>>>>
>>>>>> So it is something to do with my environment, but it is not linked to
>>>>>> the OS itself, and it is linked with 3D displaying only I would say.
>>>>>>
>>>>>> Any idea? :)
>>>>>>
>>>>>>
>>>>>> On 12 November 2014 18:44, Jerzy Karczmarczuk <
>>>>>> jer...@un...> wrote:
>>>>>>
>>>>>>>
>>>>>>> Le 13/11/2014 00:13, Geoffrey Mégardon a écrit :
>>>>>>>
>>>>>>> ...
>>>>>>>
>>>>>>>>     But to create the 3D axes, to draw in it, and then to show the
>>>>>>>>> figure, that crashes:
>>>>>>>>>  from mpl_toolkits.mplot3d import axes3d
>>>>>>>>> import matplotlib
>>>>>>>>> matplotlib.use("agg")
>>>>>>>>> import matplotlib.pyplot as plt
>>>>>>>>>
>>>>>>>>> fig = plt.figure()
>>>>>>>>> ax = fig.add_subplot(111, projection='3d')
>>>>>>>>> X, Y, Z = axes3d.get_test_data(0.05)
>>>>>>>>> cset = ax.contour(X, Y, Z)
>>>>>>>>> ax.clabel(cset, fontsize=9, inline=1)
>>>>>>>>>
>>>>>>>>> plt.show()
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> Basically on iPython QT console I would get an error like:
>>>>>>>>> ""Kernel died, restarting""
>>>>>>>>>
>>>>>>>>    Perhaps it is your environment, not Matplotlib.
>>>>>>> A copy-paste of this program run without problems on my system.
>>>>>>> Anaconda 64 bits, IPython console (within Spyder).
>>>>>>> But *Windows 7*, not 8.
>>>>>>>
>>>>>>> Jerzy Karczmarczuk
>>>>>>>
>>>>>>>
>>>>>>> ------------------------------------------------------------------------------
>>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>>> Monitor 10 servers for $9/Month.
>>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>>> notifications.
>>>>>>> Take corrective actions from your mobile device.
>>>>>>>
>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>>> _______________________________________________
>>>>>>> Matplotlib-users mailing list
>>>>>>> Mat...@li...
>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>
>>>>>>>
>>>>>>
>>>>>>
>>>>>> --
>>>>>> --
>>>>>> MEGARDON Geoffrey
>>>>>>
>>>>>>
>>>>>> ------------------------------------------------------------------------------
>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>> Monitor 10 servers for $9/Month.
>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>> notifications.
>>>>>> Take corrective actions from your mobile device.
>>>>>>
>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>> _______________________________________________
>>>>>> Matplotlib-users mailing list
>>>>>> Mat...@li...
>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>
>>>>>>
>>>>>
>>>>
>>>>
>>>> --
>>>> --
>>>> MEGARDON Geoffrey
>>>>
>>>
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> Comprehensive Server Monitoring with Site24x7.
>>> Monitor 10 servers for $9/Month.
>>> Get alerted through email, SMS, voice calls or mobile push notifications.
>>> Take corrective actions from your mobile device.
>>>
>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Mat...@li...
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>>
>>
>
>
> --
> --
> MEGARDON Geoffrey
>

That returns:
C:\Anaconda\lib\site-packages\matplotlib\__init__.pyc
C:\Anaconda\lib\site-packages\mpl_toolkits\mplot3d\__init__.pyc

On 13 November 2014 16:40, Benjamin Root <ben...@ou...> wrote:

> No OpenGL. The 3d graphics all goes through the same layering engine as
> the 2D plots. They aren't real 3D plots but rather what I like to call
> "2.1D" plots. A single point of a 3D element is chosen to determine how to
> layer it with everything else. So, it is very easy to get visualization
> artifacts, especially with polygons.
>
> Do this from python:
>
> import matplotlib
> import mpl_toolkits.mplot3d
> print matplotlib.__file__
> print mpl_toolkits.mplot3d.__file__
>
> And tell us what that returns.
>
> Cheers!
> Ben Root
>
>
>
> On Thu, Nov 13, 2014 at 3:49 PM, Paul Hobson <pmh...@gm...> wrote:
>
>> No clue about that. BTW, I'll i was suggestion was to create a new conda
>> enviorment:
>> > conda create --name=mpl3dtest matplotlib ipython-notebook python=3.4
>> ...
>> > activate mpl3dtest
>> > ipython notebook
>> > [test out 3d plotting]
>>
>>
>>
>> On Thu, Nov 13, 2014 at 12:44 PM, Geoffrey Mégardon <
>> geo...@gm...> wrote:
>>
>>> I uninstall and reinstall Anaconda.
>>> That still does not work :/
>>> Is it possible there is like OpenGL problem, graphic card driver
>>> problem, or something linked to  displaying 3d?
>>>
>>> On 13 November 2014 13:32, Paul Hobson <pmh...@gm...> wrote:
>>>
>>>> Does a fresh conda environment help?
>>>>
>>>> On Wed, Nov 12, 2014 at 5:38 PM, Geoffrey Mégardon <
>>>> geo...@gm...> wrote:
>>>>
>>>>> Yes, I may forget to tell, but this code is 100% working, it work on
>>>>> other installations I have. So the problem is not in the code.
>>>>>
>>>>> It is just that on my current laptop, I don't know why, this code,
>>>>> which tries to display a 3d plot, leads to a crash.
>>>>> Note that 2D plots work fine on their side.
>>>>>
>>>>> I have an other PC on windows 8.1, and everything work fine on it, I
>>>>> installed the same Anaconda 64-bit version.
>>>>>
>>>>> So it is something to do with my environment, but it is not linked to
>>>>> the OS itself, and it is linked with 3D displaying only I would say.
>>>>>
>>>>> Any idea? :)
>>>>>
>>>>>
>>>>> On 12 November 2014 18:44, Jerzy Karczmarczuk <
>>>>> jer...@un...> wrote:
>>>>>
>>>>>>
>>>>>> Le 13/11/2014 00:13, Geoffrey Mégardon a écrit :
>>>>>>
>>>>>> ...
>>>>>>
>>>>>>>     But to create the 3D axes, to draw in it, and then to show the
>>>>>>>> figure, that crashes:
>>>>>>>>  from mpl_toolkits.mplot3d import axes3d
>>>>>>>> import matplotlib
>>>>>>>> matplotlib.use("agg")
>>>>>>>> import matplotlib.pyplot as plt
>>>>>>>>
>>>>>>>> fig = plt.figure()
>>>>>>>> ax = fig.add_subplot(111, projection='3d')
>>>>>>>> X, Y, Z = axes3d.get_test_data(0.05)
>>>>>>>> cset = ax.contour(X, Y, Z)
>>>>>>>> ax.clabel(cset, fontsize=9, inline=1)
>>>>>>>>
>>>>>>>> plt.show()
>>>>>>>>
>>>>>>>>
>>>>>>>> Basically on iPython QT console I would get an error like:
>>>>>>>> ""Kernel died, restarting""
>>>>>>>>
>>>>>>>    Perhaps it is your environment, not Matplotlib.
>>>>>> A copy-paste of this program run without problems on my system.
>>>>>> Anaconda 64 bits, IPython console (within Spyder).
>>>>>> But *Windows 7*, not 8.
>>>>>>
>>>>>> Jerzy Karczmarczuk
>>>>>>
>>>>>>
>>>>>> ------------------------------------------------------------------------------
>>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>>> Monitor 10 servers for $9/Month.
>>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>>> notifications.
>>>>>> Take corrective actions from your mobile device.
>>>>>>
>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>>> _______________________________________________
>>>>>> Matplotlib-users mailing list
>>>>>> Mat...@li...
>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>
>>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> --
>>>>> MEGARDON Geoffrey
>>>>>
>>>>>
>>>>> ------------------------------------------------------------------------------
>>>>> Comprehensive Server Monitoring with Site24x7.
>>>>> Monitor 10 servers for $9/Month.
>>>>> Get alerted through email, SMS, voice calls or mobile push
>>>>> notifications.
>>>>> Take corrective actions from your mobile device.
>>>>>
>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>>>>> _______________________________________________
>>>>> Matplotlib-users mailing list
>>>>> Mat...@li...
>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>
>>>>>
>>>>
>>>
>>>
>>> --
>>> --
>>> MEGARDON Geoffrey
>>>
>>
>>
>>
>> ------------------------------------------------------------------------------
>> Comprehensive Server Monitoring with Site24x7.
>> Monitor 10 servers for $9/Month.
>> Get alerted through email, SMS, voice calls or mobile push notifications.
>> Take corrective actions from your mobile device.
>>
>> http://pubads.g.doubleclick.net/gampad/clk?id=154624111&iu=/4140/ostg.clktrk
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>


-- 
--
MEGARDON Geoffrey