matplotlib-users Mailing List for matplotlib (Page 6)

I do exactly that from time to time (copying a graphic) and I always start looking at the matplotlib gallery (http://matplotlib.org/gallery.html) for what is the most similar figure and starts from here (after removing what is not necessary). Most important is identifying the kind of axis necessary (cartesian, log, polar, ...)
Some examples at: http://www.loria.fr/~rougier/coding/gallery/
Some really nice graphics (but difficult) to try to copy at:
http://www.improving-visualisation.org/visuals
Nicolas
On Jan 15, 2013, at 20:52 , Steven Boada wrote:
> Heyya list.
> 
> I must admit that my matplotlib-foo is only so so. One of the biggest 
> problems that I face is seeing cool stuff around the net, and thinking, 
> "that's pretty neat, I'd like to copy it." In reality, I have no idea 
> how I would go about creating something like that.
> 
> Here's an example: http://imgur.com/JdkR4
> 
> Just a little circular histogram thing with some annotations. Obviously, 
> I'd need the annotate command for the words, but what about the arcs? No 
> idea, off hand. So my question is, how do you decode (read: what to 
> think about) figures that you see, and turn them into actual python? 
> Sure I could post on stack exchange or email all you people every time, 
> but I want to be *better* at this. And while some people are going to 
> scoff and reply "that's easy, silly" it's not so for some. I just hate 
> to admit it's me.
> 
> Thanks for the advice.
> 
> -- 
> 
> Steven Boada
> 
> Doctoral Student
> Dept of Physics and Astronomy
> Texas A&M University
> bo...@ph...
> 
> 
> ------------------------------------------------------------------------------
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Heyya list.
I must admit that my matplotlib-foo is only so so. One of the biggest 
problems that I face is seeing cool stuff around the net, and thinking, 
"that's pretty neat, I'd like to copy it." In reality, I have no idea 
how I would go about creating something like that.
Here's an example: http://imgur.com/JdkR4
Just a little circular histogram thing with some annotations. Obviously, 
I'd need the annotate command for the words, but what about the arcs? No 
idea, off hand. So my question is, how do you decode (read: what to 
think about) figures that you see, and turn them into actual python? 
Sure I could post on stack exchange or email all you people every time, 
but I want to be *better* at this. And while some people are going to 
scoff and reply "that's easy, silly" it's not so for some. I just hate 
to admit it's me.
Thanks for the advice.
-- 
Steven Boada
Doctoral Student
Dept of Physics and Astronomy
Texas A&M University
bo...@ph...

Hi:
I just want to report that in the screenshots section of the website
(http://matplotlib.org/users/screenshots.html), in the Basemap demo
(http://matplotlib.org/users/screenshots.html#basemap-demo) section,
instead of the plot there is a message saying "Sorry, could not import
Basemap".
Alejandro.

On Mon, Jan 14, 2013 at 10:39 AM, Paul Hobson <pmh...@gm...> wrote:
> Does the call to tight_layout() fig your problem?
Actually, I just realized that is not tight_layout() what fixed my
problem, but using ax.matshow instead of plt.matshow. The following
code produces an unclipped colorbar:
A = np.random.rand(100,10) / 100
fig, ax = plt.subplots()
img = ax.matshow(A)
plt.colorbar(img)
plt.show()
Alejandro.

On Mon, Jan 14, 2013 at 8:50 AM, Alejandro Weinstein <
ale...@gm...> wrote:
> On Mon, Jan 14, 2013 at 9:42 AM, Paul Hobson <pmh...@gm...> wrote:
> > import matplotlib.pyplot as plt
> > import numpy as np
> >
> > A = np.random.rand(100,10) / 100
> > fig, ax = plt.subplots()
> > img = ax.matshow(A)
> > plt.colorbar(img)
> > fig.tight_layout()
> > plt.show()
> >
> > Does the call to tight_layout() fig your problem?
>
> Yes. This shows all the digits. There is still a lot of empty space to
> the left of the image, but that's not too bad.
>
> Interestingly, I tried before using tight_layout() as in
>
> ##################################
> A = np.random.rand(100,10) / 100
> plt.matshow(A)
> plt.colorbar()
> plt.tight_layout()
> plt.show()
> ##################################
>
> and I got the error
>
>
> /usr/local/lib/python2.7/dist-packages/matplotlib-1.3.x-py2.7-linux-x86_64.egg/matplotlib/figure.py:1526:
> UserWarning: This figure includes Axes that are not compatible with
> tight_layout, so its results might be incorrect.
> warnings.warn("This figure includes Axes that are not "
> Traceback (most recent call last):
> File "mp1.py", line 8, in <module>
> plt.tight_layout()
> File
> "/usr/local/lib/python2.7/dist-packages/matplotlib-1.3.x-py2.7-linux-x86_64.egg/matplotlib/pyplot.py",
> line 1150, in tight_layout
> fig.tight_layout(pad=pad, h_pad=h_pad, w_pad=w_pad, rect=rect)
> File
> "/usr/local/lib/python2.7/dist-packages/matplotlib-1.3.x-py2.7-linux-x86_64.egg/matplotlib/figure.py",
> line 1536, in tight_layout
> rect=rect)
> File
> "/usr/local/lib/python2.7/dist-packages/matplotlib-1.3.x-py2.7-linux-x86_64.egg/matplotlib/tight_layout.py",
> line 325, in get_tight_layout_figure
> max_nrows = max(nrows_list)
> ValueError: max() arg is an empty sequence
>
(Some of the discussion accidentally went off-list. Sorry that was my
fault.)
Same here on my Windows machine. --That-- might be bug. I'll wait for some
feedback before I create a github issue.
-paul

Hi:
I'm using matshow with a colorbar to visualize a matrix. If the number
of digits used in the colorbar are too many, the digits are clipped.
The following code illustrates the behavior:
##################################
import matplotlib.pyplot as plt
import numpy as np
A = np.random.rand(100,10) / 100
plt.matshow(A)
plt.colorbar()
plt.show()
##################################
See http://imgur.com/AJmv0 for the output.
Is there an easy way to get the colormap without clipping? I can
resize the image manually to get all the digits, but I'm looking for
an automatic way to do this.
Should I report this as a bug?
I'm using mpl 1.3
Alejandro.

For what it's worth, I checked this out on my Windows 8 machine and
didn't have any problems.
On Thu, Jan 10, 2013 at 8:35 AM, Michael Droettboom <md...@st...> wrote:
> Since this is specific to Windows 8, I wonder if the Arial font has been
> updated in that version. If it's a newer OTF font, rather than a TTF font,
> it's possible matplotlib can't read it correctly.
>
> You can see what font file is on each platform by starting up a Python
> prompt and doing:
>
> >>> from matplotlib import font_manager
> >>> font_manager.findfont("Arial")
>
> It should display the path to the font. From that, you should be able to
> get the Arial file on each of your platforms and see if they are different.
> To get more details, you could open them up in the open source "fontforge"
> tool. Sorry I can't do this myself, as I don't have access to anything past
> XP.
>
> If the fonts turn out to be different, as a workaround, you could try
> backing up and then replacing the Arial font on your Windows 8 machine with
> the one on your Windows 7 machine.
>
> Cheers,
> Mike
>
> On 01/09/2013 11:59 PM, Paul Hobson wrote:
>
> Sounds like it might have something to do with your Latex installation (if
> any) or the barebones Latex-rendering done by MPL alone. Namely, they simply
> don't have the characters for mathematical Arial available.
>
> Not too sure though. Hopefully someone more knowledgeable responds.
> -paul
>
>
> On Tue, Jan 8, 2013 at 9:31 PM, CAB <ca...@ya...> wrote:
>>
>> Hi, All,
>>
>> I am encountering a thorny problem when trying to run matplotlib under
>> Windows 8. If I label an axis using a command like
>>
>> ax.set_ylabel(r'time (s)', name='Arial'),
>>
>> all is well. But if try to add mathtext to that, as in
>>
>> ax.set_ylabel(r'time ($s$)', name='Arial'),
>>
>> mathtext.py throws an error (a very long stream) ending in "RuntimeError:
>> Face has no glyph names". If I remove the "name='Arial'" above and let the
>> program default to Bitstream Vera Sans, the mathtext works.
>>
>> This problem does not occur under Windows 7 or XP; only under two
>> different Windows 8 installations. Any ideas what's going on?
>>
>> Chad
>>
>>
>> ------------------------------------------------------------------------------
>> Master Java SE, Java EE, Eclipse, Spring, Hibernate, JavaScript, jQuery
>> and much more. Keep your Java skills current with LearnJavaNow -
>> 200+ hours of step-by-step video tutorials by Java experts.
>> SALE 49ドル.99 this month only -- learn more at:
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>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>
>
>
> ------------------------------------------------------------------------------
> Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS,
> MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current
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>
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
>
> ------------------------------------------------------------------------------
> Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS,
> MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current
> with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft
> MVPs and experts. ON SALE this month only -- learn more at:
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> _______________________________________________
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-- 
Daniel Hyams
dh...@gm...

I found this: https://github.com/cournape/matplotlib-dependencies
but what should I do with it?
Should I try to compile or put it in some folder?
How to instruct matplotlib to use those?
site.cfg template doesn't have any entry for each of above packages.

Some more info I think I should have posted:
============================================================================
BUILDING MATPLOTLIB
 matplotlib: 1.2.0
 python: 3.3.0 (v3.3.0:bd8afb90ebf2, Sep 29 2012, 10:55:48)
 [MSC v.1600 32 bit (Intel)]
 platform: win32
 Windows version: sys.getwindowsversion(major=5, minor=1, build=2600,
 platform=2, service_pack='Service Pack 3')
REQUIRED DEPENDENCIES
 numpy: 1.7.0rc1
 freetype2: found, but unknown version (no pkg-config)
 * WARNING: Could not find 'freetype2' headers in any
 * of 'win32_static\include', '.',
 * 'win32_static\include\freetype2', '.\freetype2'.
OPTIONAL BACKEND DEPENDENCIES
 libpng: found, but unknown version (no pkg-config)
 * Could not find 'libpng' headers in any of
 * 'win32_static\include', '.'
 Tkinter: no
 * Tkinter present, but header files are not found.
 * You may need to install development packages.
 Gtk+: no
 * Building for Gtk+ requires pygtk; you must be able
 * to "import gtk" in your build/install environment
 Mac OS X native: no
 Qt: no
 Qt4: Qt: 4.8.4, PyQt4: 4.9.6
 PySide: no
 Cairo: no
OPTIONAL DATE/TIMEZONE DEPENDENCIES
 dateutil: matplotlib will provide
 pytz: matplotlib will provide
 six: matplotlib will provide
OPTIONAL USETEX DEPENDENCIES
 dvipng: 1.12
 ghostscript: 9.06
 latex: MiKTeX 2.9
[Edit setup.cfg to suppress the above messages]
============================================================================
Friday, January 11, 2013, 2:03:51 PM, you wrote:
> `python3 setup.py build` fails with this error:
> ========================================
> ...
> running build_ext
> building 'matplotlib.ft2font' extension
> creating build\temp.win32-3.3
> creating build\temp.win32-3.3\Release
> creating build\temp.win32-3.3\Release\src
> creating build\temp.win32-3.3\Release\cxx
> C:\MinGW\bin\gcc.exe -mdll -O -Wall
> -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -DPYCXX_ISO_CPP_LIB=1
> -DPYCXX_PYTHON_2TO3=1 -Iwin32_static\include
> -Ic:\python33\lib\site-packages\numpy\core\include -I.
> -Iwin32_static\include\freetype2
> -Ic:\python33\lib\site-packages\numpy\core\include\freetype2
> -I.\freetype2 -Ic:\python33\include -Ic:\python33\include -c
> src/ft2font.cpp -o build\temp.win32-3.3\Release\src\ft2font.o
> In file included from src/ft2font.cpp:3:0:
> src/ft2font.h:16:22: fatal error: ft2build.h: No such file or directory
> compilation terminated.
> error: command 'gcc' failed with exit status 1
> ========================================
> It seems like it looks for freetype header file.
> How to supply this?

`python3 setup.py build` fails with this error:
========================================
...
running build_ext
building 'matplotlib.ft2font' extension
creating build\temp.win32-3.3
creating build\temp.win32-3.3\Release
creating build\temp.win32-3.3\Release\src
creating build\temp.win32-3.3\Release\cxx
C:\MinGW\bin\gcc.exe -mdll -O -Wall -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -DPYCXX_ISO_CPP_LIB=1 -DPYCXX_PYTHON_2TO3=1 -Iwin32_static\include -Ic:\python33\lib\site-packages\numpy\core\include -I. -Iwin32_static\include\freetype2 -Ic:\python33\lib\site-packages\numpy\core\include\freetype2 -I.\freetype2 -Ic:\python33\include -Ic:\python33\include -c src/ft2font.cpp -o build\temp.win32-3.3\Release\src\ft2font.o
In file included from src/ft2font.cpp:3:0:
src/ft2font.h:16:22: fatal error: ft2build.h: No such file or directory
compilation terminated.
error: command 'gcc' failed with exit status 1
========================================
It seems like it looks for freetype header file.
How to supply this?
Thanks

Hi all,
I am using matplotlib with Django.
I want to display figures processed in Django apps by matplotlib in browser
using html5.
I tried:
*def plot_file(request):*
* import matplotlib.cbook as cbook*
* fig = figure()*
* fname = cbook.get_sample_data('msft.csv', asfileobj=False)*
* plotfile(fname, (0,1,2,3))*
*
*
* canvas = FigureCanvas(fig)*
* response = HttpResponse(content_type="image/png")*
* canvas.print_png(response)*
* fig.clear()*
* return response*
This response takes whole page and displays figure.
I have other contents as well to display along with figure.
How can I send it as a canvas object or something else(I am unaware of) in
order to have print logic in html file(django templates)
in order to position figure as my requirement:
I thought of something like this, but not sure:
*def plot_file(request):*
* ---------------*
* ---------------*
* return render_to_response('template.html',{*
* 'canvas':canvas,*
* }, *
* context_instance=RequestContext(request),*
* ) *
-------------------------------------------------------------------------------------------------------------------------
Please make me inform, If I need to provide more context.
Regards,
Navid Shaikh.

	I have a PathCollection with a lot of closed paths. I'm trying to 
implement a "data cursor" as described here: 
http://stackoverflow.com/questions/4652439/is-there-a-matplotlib-equivalent-of-matlabs-datacursormode 
. I've done this successfuly in the past when the objects I wanted to 
pick were points. However, with this PathCollection, I want to be 
able to click inside the region enclosed by a path, and select the 
path that encloses that region. Using the basic sort of code as shown 
in that post, it seems to only select the path when you click on the 
path itself --- that is, the boundary of the region.
	How can I get a pick event for a PathCollection that tells me the 
path whose interior I clicked in? To make things even more 
complicated, some of the paths are not simply-connected and contain 
other paths inside their "holes", but even handling it without that 
wrinkle would be a start.
Thanks,
-- 
Brendan Barnwell
"Do not follow where the path may lead. Go, instead, where there is 
no path, and leave a trail."
 --author unknown

2013年1月9日 Goyo <goy...@gm...>:
> I'm using matplotlib master from
> https://launchpad.net/%7Etakluyver/+archive/matplotlib-daily, ubuntu
> 12.10 and python 2.7 and sometimes I get misplaced y labels for twinx
> plots. I file a bug at github with a sample script and figure images:
> https://github.com/matplotlib/matplotlib/issues/1608
> A guy commented there saying he can't replicate the issue. I wonder if
> anyone using ubuntu 12.10 can try my code with the matplotlib version
> from that repo and share the output.
>
Follow up: there's a PR for an older bug which works for me:
https://github.com/matplotlib/matplotlib/issues/1608#issuecomment-12071708

Since this is specific to Windows 8, I wonder if the Arial font has been 
updated in that version. If it's a newer OTF font, rather than a TTF 
font, it's possible matplotlib can't read it correctly.
You can see what font file is on each platform by starting up a Python 
prompt and doing:
 >>> from matplotlib import font_manager
 >>> font_manager.findfont("Arial")
It should display the path to the font. From that, you should be able 
to get the Arial file on each of your platforms and see if they are 
different. To get more details, you could open them up in the open 
source "fontforge" tool. Sorry I can't do this myself, as I don't have 
access to anything past XP.
If the fonts turn out to be different, as a workaround, you could try 
backing up and then replacing the Arial font on your Windows 8 machine 
with the one on your Windows 7 machine.
Cheers,
Mike
On 01/09/2013 11:59 PM, Paul Hobson wrote:
> Sounds like it might have something to do with your Latex installation 
> (if any) or the barebones Latex-rendering done by MPL alone. Namely, 
> they simply don't have the characters for mathematical Arial available.
>
> Not too sure though. Hopefully someone more knowledgeable responds.
> -paul
>
>
> On Tue, Jan 8, 2013 at 9:31 PM, CAB <ca...@ya... 
> <mailto:ca...@ya...>> wrote:
>
> Hi, All,
>
> I am encountering a thorny problem when trying to run matplotlib
> under Windows 8. If I label an axis using a command like
>
> ax.set_ylabel(r'time (s)', name='Arial'),
>
> all is well. But if try to add mathtext to that, as in
>
> ax.set_ylabel(r'time ($s$)', name='Arial'),
>
> mathtext.py throws an error (a very long stream) ending in
> "RuntimeError: Face has no glyph names". If I remove the
> "name='Arial'" above and let the program default to Bitstream Vera
> Sans, the mathtext works.
>
> This problem does not occur under Windows 7 or XP; only under two
> different Windows 8 installations. Any ideas what's going on?
>
> Chad
>
> ------------------------------------------------------------------------------
> Master Java SE, Java EE, Eclipse, Spring, Hibernate, JavaScript,
> jQuery
> and much more. Keep your Java skills current with LearnJavaNow -
> 200+ hours of step-by-step video tutorials by Java experts.
> SALE 49ドル.99 this month only -- learn more at:
> http://p.sf.net/sfu/learnmore_122612
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> <mailto:Mat...@li...>
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
>
>
> ------------------------------------------------------------------------------
> Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS,
> MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current
> with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft
> MVPs and experts. ON SALE this month only -- learn more at:
> http://p.sf.net/sfu/learnmore_122712
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Yes, you are absolutely correct. I did not realize that I did not actually evaluate the function over a grid, makes sense that interpolation fails. I thought that since I created the two axis vectors the function evaluation occurs over the entire domain, meshgrid is what I was missing.
thanks,
Shahar
On Jan 9, 2013, at 8:45 PM, Ian Thomas wrote:
> On 9 January 2013 09:32, Shahar Shani-Kadmiel <ka...@po...> wrote:
> Hi,
> 
> I'm trying to contour some data that I have and the griddata line fails. I tried running it on some synthetically generated data and I get the same IndexError. Any Ideas?
> 
> Here is the example with the synthetic data:
> 
> x = y = arange(-10,10,0.01)
> 
> z = x**2+y**3
> 
> xi = yi = linspace(-10.1, 10.1, 100)
> 
> zi = griddata(x, y, z, xi, yi)
> ---------------------------------------------------------------------------
> IndexError Traceback (most recent call last)
> <ipython-input-52-0458ab6ea672> in <module>()
> ----> 1 zi = griddata(x, y, z, xi, yi)
> 
> /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/mlab.py in griddata(x, y, z, xi, yi, interp)
> 2766 xi,yi = np.meshgrid(xi,yi)
> 2767 # triangulate data
> -> 2768 tri = delaunay.Triangulation(x,y)
> 
> Hello Shahar,
> 
> I think that your simple example is probably not what you intended. Your (x,y) points are all defined on the straight line from (-10,-10) to (10,10). The Delaunay triangulation of these points (which is what griddata does) is not very interesting! Perhaps you wanted (x,y) defined on the 2D grid from (-10,-10) to (10,10), in which case you should follow the x = y ... line with, for example:
> x, y = meshgrid(x, y)
> (see numpy.meshgrid for further details).
> 
> You may still obtain the same IndexError, and the traceback shows this is happening in the delaunay.Triangulation function call. The matplotlib delaunay package is not particularly robust, and can have problems handling regularly-spaced data points. The griddata documentation explains some of this, see http://matplotlib.org/api/mlab_api.html#matplotlib.mlab.griddata.
> 
> To avoid the problem, the griddata documentation explains one possible way that uses the natgrid algorithm. A simpler solution that I often use is to add a very small amount of noise to my regularly-spaced (x,y) points using the numpy.random module. I can give more details if you wish.
> 
> Ian

http://krishnacement.com/boycharityleemacdonald/

Sounds like it might have something to do with your Latex installation (if
any) or the barebones Latex-rendering done by MPL alone. Namely, they
simply don't have the characters for mathematical Arial available.
Not too sure though. Hopefully someone more knowledgeable responds.
-paul
On Tue, Jan 8, 2013 at 9:31 PM, CAB <ca...@ya...> wrote:
> Hi, All,
>
> I am encountering a thorny problem when trying to run matplotlib under
> Windows 8. If I label an axis using a command like
>
> ax.set_ylabel(r'time (s)', name='Arial'),
>
> all is well. But if try to add mathtext to that, as in
>
> ax.set_ylabel(r'time ($s$)', name='Arial'),
>
> mathtext.py throws an error (a very long stream) ending in "RuntimeError:
> Face has no glyph names". If I remove the "name='Arial'" above and let the
> program default to Bitstream Vera Sans, the mathtext works.
>
> This problem does not occur under Windows 7 or XP; only under two
> different Windows 8 installations. Any ideas what's going on?
>
> Chad
>
>
> ------------------------------------------------------------------------------
> Master Java SE, Java EE, Eclipse, Spring, Hibernate, JavaScript, jQuery
> and much more. Keep your Java skills current with LearnJavaNow -
> 200+ hours of step-by-step video tutorials by Java experts.
> SALE 49ドル.99 this month only -- learn more at:
> http://p.sf.net/sfu/learnmore_122612
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

I'm using matplotlib master from
https://launchpad.net/%7Etakluyver/+archive/matplotlib-daily, ubuntu
12.10 and python 2.7 and sometimes I get misplaced y labels for twinx
plots. I file a bug at github with a sample script and figure images:
https://github.com/matplotlib/matplotlib/issues/1608
A guy commented there saying he can't replicate the issue. I wonder if
anyone using ubuntu 12.10 can try my code with the matplotlib version
from that repo and share the output.
Best regards
Goyo

On 9 January 2013 09:32, Shahar Shani-Kadmiel <ka...@po...>wrote:
> Hi,
>
> I'm trying to contour some data that I have and the griddata line fails. I
> tried running it on some synthetically generated data and I get the same
> IndexError. Any Ideas?
>
> Here is the example with the synthetic data:
>
> x = y = arange(-10,10,0.01)
>
> z = x**2+y**3
>
> xi = yi = linspace(-10.1, 10.1, 100)
>
> zi = griddata(x, y, z, xi, yi)
> ---------------------------------------------------------------------------
> IndexError Traceback (most recent call last)
> <ipython-input-52-0458ab6ea672> in <module>()
> ----> 1 zi = griddata(x, y, z, xi, yi)
>
> /Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/mlab.py
> in griddata(x, y, z, xi, yi, interp)
> 2766 xi,yi = np.meshgrid(xi,yi)
> 2767 # triangulate data
> -> 2768 tri = delaunay.Triangulation(x,y)
>
Hello Shahar,
I think that your simple example is probably not what you intended. Your
(x,y) points are all defined on the straight line from (-10,-10) to
(10,10). The Delaunay triangulation of these points (which is what
griddata does) is not very interesting! Perhaps you wanted (x,y) defined
on the 2D grid from (-10,-10) to (10,10), in which case you should follow
the x = y ... line with, for example:
 x, y = meshgrid(x, y)
(see numpy.meshgrid for further details).
You may still obtain the same IndexError, and the traceback shows this is
happening in the delaunay.Triangulation function call. The matplotlib
delaunay package is not particularly robust, and can have problems handling
regularly-spaced data points. The griddata documentation explains some of
this, see http://matplotlib.org/api/mlab_api.html#matplotlib.mlab.griddata.
To avoid the problem, the griddata documentation explains one possible way
that uses the natgrid algorithm. A simpler solution that I often use is to
add a very small amount of noise to my regularly-spaced (x,y) points using
the numpy.random module. I can give more details if you wish.
Ian

Hi,
Yannick Copin <yannick.copin@...> writes:
> Is it a bug in Qt4Agg, or an unimplemented feature? Is there any way 
> other than switching back to GTKAgg specifically?
just a follow-up and conclusion: I create a matplotlib issue for this
(https://github.com/matplotlib/matplotlib/issues/1646), and the use of
pyplot.pause in place of pyplot.draw seems to help.
Cheers,
Yannick

Hi,
I'm trying to contour some data that I have and the griddata line fails. I tried running it on some synthetically generated data and I get the same IndexError. Any Ideas?
Here is the example with the synthetic data:
x = y = arange(-10,10,0.01)
z = x**2+y**3
xi = yi = linspace(-10.1, 10.1, 100)
zi = griddata(x, y, z, xi, yi)
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-52-0458ab6ea672> in <module>()
----> 1 zi = griddata(x, y, z, xi, yi)
/Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/mlab.py in griddata(x, y, z, xi, yi, interp)
 2766 xi,yi = np.meshgrid(xi,yi)
 2767 # triangulate data
-> 2768 tri = delaunay.Triangulation(x,y)
 2769 # interpolate data
 2770 if interp == 'nn':
/Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/delaunay/triangulate.py in __init__(self, x, y)
 88 self.triangle_neighbors = delaunay(self.x, self.y)
 89 
---> 90 self.hull = self._compute_convex_hull()
 91 
 92 def _collapse_duplicate_points(self):
/Library/Frameworks/Python.framework/Versions/7.3/lib/python2.7/site-packages/matplotlib/delaunay/triangulate.py in _compute_convex_hull(self)
 113 
 114 edges = {}
--> 115 edges.update(dict(zip(self.triangle_nodes[border[:,0]][:,1],
 116 self.triangle_nodes[border[:,0]][:,2])))
 117 edges.update(dict(zip(self.triangle_nodes[border[:,1]][:,2],
IndexError: invalid index

Hi, All,
I am encountering a thorny problem when trying to run matplotlib under Windows 8. If I label an axis using a command like
ax.set_ylabel(r'time (s)', name='Arial'),
all is well. But if try to add mathtext to that, as in
ax.set_ylabel(r'time ($s$)', name='Arial'),
mathtext.py throws an error (a very long stream) ending in "RuntimeError: Face has no glyph names". If I remove the "name='Arial'" above and let the program default to Bitstream Vera Sans, the mathtext works.
This problem does not occur under Windows 7 or XP; only under two different Windows 8 installations. Any ideas what's going on?
Chad

Hi Ben and thanks for the reply
The matplotlib stuff above is an optional extra to an application that I've
created. I don't want the users to have to install the matplotlib package
unless they have to. The only way I could figure of achieving this is to
import within the class scope. They are assigned as members to allow later
reference. Without the assignment I cannot access the matplot lib module. If
you know a better way of achieving what I'm looking for please let me know.
 
I've deprioritised this bug as it only occurs when the bar data vacillates
between positive and negative values and I'm just looking to plot FFTs. When
I get some time I plan to reduce the problem down and will post here when I
do so. Sorry but I really shouldn't have posted my class directly.
 
Thanks for the feedback. 
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Hi
Do you have any documentation about how to implement such functionality? 
Could you perhaps suggest a suitable example?
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