matplotlib-users Mailing List for matplotlib (Page 8)

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Eric Firing wrote:
> Sébastien / Seb-bubuntu wrote:
[snip]
> 
> I think a LineCollection may provide a very easy way to do what you
> want, if I understand correctly.  I recently changed mri_with_eeg.py to
> use a LineCollection; maybe you are looking at an older version?
> Attached is the current version from svn.
> 
> Eric
> 
[snip]

Indeed my Matplotlib version is 0.98.1 (version from Ubuntu repos) so examples may be outdated.
I'll try with your version (which seems much more simple).

Thank you

Sébastien

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Sébastien / Seb-bubuntu wrote:
> Hi folks,
> 
> I have a few plots which I would like to stack in a single figure. When
> I first came with this problem (back to matplotlib version 0.93 or
> older), the most efficient way (at least in my case) of doing this
> consisted in playing with transformations as you can see in the cookbook
> (see:
> http://www.scipy.org/Cookbook/Matplotlib/MultilinePlots#head-b5f2ad87ab7ec637a0fc63ec85281469d9aeeb46).
> Unfortunately, this example (and, of course, the script I wrote back
> then) doesn't work anymore with with the newest version of Matplotlib
> (0.98).
> So I started to hack the "mri_with_eeg.py" example to achieve what I
> want (since the way EEGs are stacked!)... with no luck!
> I probably don't understand well how the transformation works... That's
> why I decided to beg for a friendly help! :)
> 
> Here is the code from the example (I focused on the lines I haven't
> completely figured):
> 
>     boxin = Bbox.from_extents(ax.viewLim.x0, -20, ax.viewLim.x1, 20)
> 
>     height = ax.bbox.height
>     boxout = Bbox.from_extents(ax.bbox.x0, -1.0 * height,
>                                ax.bbox.x1,  1.0 * height)
> 
>     transOffset = BboxTransformTo(
>         Bbox.from_extents(0.0, ax.bbox.y0, 1.0, ax.bbox.y1))
> 
> 
>     for i in range(numRows):
>         # effectively a copy of transData
>         trans = BboxTransform(boxin, boxout)
>         offset = (i+1)/(numRows+1)
> 
>         trans += Affine2D().translate(*transOffset.transform_point((0,
> offset)))
> 
>         thisLine = Line2D(
>             t, data[:,i]-data[0,i],
>             )
> 
>         thisLine.set_transform(trans)
> 
>         ax.add_line(thisLine)
>         ticklocs.append(offset)
> 
> ax being a AxesSubplot instance
> as far as I understood, 20 and -20 (see line where boxin is defined)
> refer to min and max values (on Y axis) to be plotted within the space
> allocated to each plot (thanks to the tranformation named trans).
> In my case Y values can be much higher (roughly from -1e3 to 5e7), so I
> should change those values according to mine in order to get the
> tranformation working for me. Obviously something is wrong in my
> understanding since it doesn't work!
> Hence my first question: Why is it not working?
> As a bonus, I also have another question: Is there a "new" (i.e.
> provided by the new API) way that can be used to stack plots composed by
> many (>5k) points?

I think a LineCollection may provide a very easy way to do what you 
want, if I understand correctly.  I recently changed mri_with_eeg.py to 
use a LineCollection; maybe you are looking at an older version? 
Attached is the current version from svn.

Eric

> 
> Thanks
> 
> Sébastien
> 
> -------------------------------------------------------------------------
> This SF.Net email is sponsored by the Moblin Your Move Developer's challenge
> Build the coolest Linux based applications with Moblin SDK & win great prizes
> Grand prize is a trip for two to an Open Source event anywhere in the world
> http://moblin-contest.org/redirect.php?banner_id=100&url=/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

The new webpage looks great, sphinx has really meant a lot for the 
documentation in the scientific projects.
> 
> Because some of these extensions are generally useful, Michael,
> Fernando and I have been working on a "sphinx_template" which contains
> the template of a sphinx documentation project with these extensions
> in place, so people who want to get started using sphinx (the official
> documentation system for python, numpy, ipython and matplotlib) can do
> so more easily.  Right now it is available in svn
> 
>   > svn co https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/py4science/examples/sphinx_template2
> 
> and see the README in the checkout directory.  Michael also did a talk
> on matplotlib's use of sphinx and the sphinx template at the last
> scipy conference.  We're still waiting for the videos of the talks to
> be posted (can someone poke someone?)  but you can see the talk PDF
> from the proceedings here:
> 

But I have some problems using the template from windows (python2.5). 
 From a fresh checkout of the sphinx_template2 from svn and running
the following in that folder:

C:\python\mpl_template>sphinx-build -b html -d build/doctrees .
build/html
Sphinx v0.5, building html
loading pickled environment... not found
building [html]: targets for 10 source files that are out of date
updating environment: 10 added, 0 changed, 0 removed
reading sources... index model/api_docs model/index model/introduction 
model/nex
t_steps model/sphinx_helpers     building 
C:\python\mpl_template\pyplots\elegant
.py
ERROR: File `C:pythonmpl_templatepyplotselegant.py` not found.
simulations/finale     already have 
C:\python\mpl_template\pyplots\elegant.py
simulations/index simulations/introduction simulations/preliminary 
building
C:\python\mpl_template\pyplots\hairy.py
ERROR: File `C:pythonmpl_templatepyplotshairy.py` not found.

pickling environment... done
checking consistency... done
preparing documents... done
writing output... index model/api_docs model/index model/introduction 
model/next
_steps model/sphinx_helpers simulations/finale simulations/index 
simulations/int
roduction simulations/preliminary
WARNING: C:\python\mpl_template\model\sphinx_helpers.rst:177: 
(WARNING/2) 'dot'
called with invalid arguments
writing additional files... genindex modindex search
copying images... _static\elegant.pdf _static\hairy.pdf 
_static\elegant.png _sta
tic\hairy.png
copying static files... done
dumping search index... done
dumping object inventory... done
build succeeded, 1 warning.


There are two errors with very strange filenames, it looks like the path
separator has disappeared.

Any both the graphs elegant and hairy are generated but they are
empty, both the png and pdf. Any ideas?

/Jörgen

Hello everybody!
 
I'm trying to make a contour plot and add a legend for it. The code is
basically
---
from numpy import *
from matplotlib.pyplot import *
# put anything into x,y,z arrays
ctr = contour(x,y,z) # plots ok contours of z(x,y)
ctr.collections[0].set_label('z')
legend()
show()
---
The legend() command produces an error (see below). What's wrong with this?
 
Thanks for any help
Jakub
 
(Python 2.5 + matplotlib 0.98.3 on Win32)
 
---
 
ERROR: An unexpected error occurred while tokenizing input
The following traceback may be corrupted or invalid
The error message is: ('EOF in multi-line statement', (184, 0))
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
 
C:\Documents and Settings\jurban\<ipython console> in <module>()
 
C:\Python25\lib\site-packages\matplotlib\pyplot.pyc in legend(*args,
**kwargs)
   2388
   2389     ret =  gca().legend(*args, **kwargs)
-> 2390     draw_if_interactive()
   2391     return ret
   2392 if Axes.legend.__doc__ is not None:
 
C:\Python25\lib\site-packages\matplotlib\backends\backend_tkagg.pyc in
draw_if_i
nteractive()
     59         figManager =  Gcf.get_active()
     60         if figManager is not None:
---> 61             figManager.show()
     62
     63
 
C:\Python25\lib\site-packages\matplotlib\backends\backend_tkagg.pyc in
show(self
)
    389             if sys.platform=='win32' : self.window.update()
    390         else:
--> 391             self.canvas.draw()
    392         self._shown = True
    393
 
C:\Python25\lib\site-packages\matplotlib\backends\backend_tkagg.pyc in
draw(self
)
    212
    213     def draw(self):
--> 214         FigureCanvasAgg.draw(self)
    215         tkagg.blit(self._tkphoto, self.renderer._renderer,
colormode=2)
    216         self._master.update_idletasks()
 
C:\Python25\lib\site-packages\matplotlib\backends\backend_agg.pyc in
draw(self)
    259
    260         self.renderer = self.get_renderer()
--> 261         self.figure.draw(self.renderer)
    262
    263     def get_renderer(self):
 
C:\Python25\lib\site-packages\matplotlib\figure.pyc in draw(self, renderer)
    757
    758         # render the axes
--> 759         for a in self.axes: a.draw(renderer)
    760
    761         # render the figure text
 
C:\Python25\lib\site-packages\matplotlib\axes.pyc in draw(self, renderer,
infram
e)
   1521
   1522         for zorder, i, a in dsu:
-> 1523             a.draw(renderer)
   1524
   1525         renderer.close_group('axes')
 
C:\Python25\lib\site-packages\matplotlib\legend.pyc in draw(self, renderer)
    195         if not self.get_visible(): return
    196         renderer.open_group('legend')
--> 197         self._update_positions(renderer)
    198         if self._drawFrame:
    199             if self.shadow:
 
C:\Python25\lib\site-packages\matplotlib\legend.pyc in
_update_positions(self, r
enderer)
    521                 ydata = y*np.ones(handle.get_xdata().shape, float)
    522                 handle.set_ydata(ydata+h/2.)
--> 523                 handle._legmarker.set_ydata(ydata+h/2.)
    524             elif isinstance(handle, Rectangle):
    525                 handle.set_y(y+1/4*h)
 
AttributeError: 'Line2D' object has no attribute '_legmarker'
 
 

Hi folks,

I have a few plots which I would like to stack in a single figure. When
I first came with this problem (back to matplotlib version 0.93 or
older), the most efficient way (at least in my case) of doing this
consisted in playing with transformations as you can see in the cookbook
(see:
http://www.scipy.org/Cookbook/Matplotlib/MultilinePlots#head-b5f2ad87ab7ec637a0fc63ec85281469d9aeeb46).
Unfortunately, this example (and, of course, the script I wrote back
then) doesn't work anymore with with the newest version of Matplotlib
(0.98).
So I started to hack the "mri_with_eeg.py" example to achieve what I
want (since the way EEGs are stacked!)... with no luck!
I probably don't understand well how the transformation works... That's
why I decided to beg for a friendly help! :)

Here is the code from the example (I focused on the lines I haven't
completely figured):

    boxin = Bbox.from_extents(ax.viewLim.x0, -20, ax.viewLim.x1, 20)

    height = ax.bbox.height
    boxout = Bbox.from_extents(ax.bbox.x0, -1.0 * height,
                               ax.bbox.x1,  1.0 * height)

    transOffset = BboxTransformTo(
        Bbox.from_extents(0.0, ax.bbox.y0, 1.0, ax.bbox.y1))


    for i in range(numRows):
        # effectively a copy of transData
        trans = BboxTransform(boxin, boxout)
        offset = (i+1)/(numRows+1)

        trans += Affine2D().translate(*transOffset.transform_point((0,
offset)))

        thisLine = Line2D(
            t, data[:,i]-data[0,i],
            )

        thisLine.set_transform(trans)

        ax.add_line(thisLine)
        ticklocs.append(offset)

ax being a AxesSubplot instance
as far as I understood, 20 and -20 (see line where boxin is defined)
refer to min and max values (on Y axis) to be plotted within the space
allocated to each plot (thanks to the tranformation named trans).
In my case Y values can be much higher (roughly from -1e3 to 5e7), so I
should change those values according to mine in order to get the
tranformation working for me. Obviously something is wrong in my
understanding since it doesn't work!
Hence my first question: Why is it not working?
As a bonus, I also have another question: Is there a "new" (i.e.
provided by the new API) way that can be used to stack plots composed by
many (>5k) points?

Thanks

Sébastien

We've been working behind the scenes on a new documentation system for
matplotlib, which integrates the web site, API documentation and PDF
guide into a single source of sphinx/rest documents which are easier
to maintain and extend, hopefully leading to better and more
up-to-date docs.

We went live with the new site yesterday:

  http://matplotlib.sf.net

so check it out and let us know if something is broken or missing.  We
don't have everything that was on the old site (some stuff from the
FAQ, "what's new" and "user's guide" has not been ported over) but we
do have should be current, searchable, indexed and cross-linked.

Thanks to Darren Dale who spear-headed the effort to use the sphinx
documentation, and to the developers who have contributed, especially
Michael Droettboom, who has developed several nice sphinx extensions
to do inheritance diagrams, syntax highlighting of ipython sessions,
and inline plotting.  As an example we can include plots in our API
documentation, see

  http://matplotlib.sourceforge.net/api/axes_api.html#matplotlib.axes.Axes.acorr

We embed these plots with a "plot" directive that generates the
figures from external code at documentation build time, which
guarantees that the example code you see in the docs generate the
figures you see in the docs.  For example, in the acorr docstring, all
we have to do is::

        **Example:**

        .. plot:: ../mpl_examples/pylab_examples/xcorr_demo.py

and the figure and source code links automagically appear in the docs.

Because some of these extensions are generally useful, Michael,
Fernando and I have been working on a "sphinx_template" which contains
the template of a sphinx documentation project with these extensions
in place, so people who want to get started using sphinx (the official
documentation system for python, numpy, ipython and matplotlib) can do
so more easily.  Right now it is available in svn

  > svn co https://matplotlib.svn.sourceforge.net/svnroot/matplotlib/trunk/py4science/examples/sphinx_template2

and see the README in the checkout directory.  Michael also did a talk
on matplotlib's use of sphinx and the sphinx template at the last
scipy conference.  We're still waiting for the videos of the talks to
be posted (can someone poke someone?)  but you can see the talk PDF
from the proceedings here:

  http://conference.scipy.org/proceedings/SciPy2008/paper_6/

JDH

Thanks for the notes.  I suspect many people are in the same boat as me and
just do not have access to the environment you do.

- Charlie

On Wed, Oct 15, 2008 at 3:07 AM, Dan Shechter <da...@ho...> wrote:

> Of course... I'll try to be as detailed as I can be...
>
> I'll start off by mentioning that I have created and uploaded and
> archive with a snapshot of everything that I've got so far:
> http://rapidshare.com/files/154096953/py-64.7z.html
>
> The env. I'm using is:
> * VS9 (2008)
> * Python 2.6 for amd 64 (compiled with VS9 by the python.org folks)
>
> To compile Numpy I did this:
> 1. Extract Numpy 1.2
> 2. Start the Visual Studio 2008 Command prompt
> 3. Patch "numpy-1.2.0\numpy\core\src\umathmodule.c.src" according to the
> instructios here:
>
>
> http://projects.scipy.org/pipermail/numpy-discussion/2008-October/037981.htm
> l
>
>
> http://projects.scipy.org/pipermail/numpy-discussion/2008-October/037994.htm
> l
> 4. invoke python setup.py build bdist_wininst
> 5. Install the resulting installer
> 6. Run numpy.test()... (You'll need a installed nose unit-test framework,
> which is in the archive I've attached)
>
> For MPL:
> 1. Extract matplotlib-0.98.3
> 2. I downloaded the win32_static package so I can see the "recomended"
>   static dependencies and compiled the dependencies as best I could,
>   altering the provided ".sln"/".csproj" files as best I could to compile
>   for x64 (none of them have pre-made x64 "builds")
>   What I compiled out of the win32 packages was:
>   libpng / zlib
>   freetype
> 3. I restructures the headers / .lib files in a manner similar to how they
> were with
>   the win32_static package, and placed it in a "win64" directory
> 4. Changed setupext.py to use "win64" instead of "win32_static"
> 5. Compiled with python setup.py build bdist_wininst, installed the
> resulting installer
> 6. Ran a few tests...
>
> That's it.
> I'm still "missing" on getting the wxPython headers/static libs compiled,
> but I assume this is not a
> "critical" part of getting MPL working, but rather required for
> completeness
> sake.
>
>
> From: Charlie Moad [mailto:cw...@gm...]
> Sent: Wednesday, October 15, 2008 03:11
> To: Dan Shechter
> Cc: mat...@li...
> Subject: Re: [Matplotlib-users] MPL on Windows x64 with Python 2.6
>
> Could you please describe your build environment?  I am interested in what
> compiler you used and what OS you are running.
>
> - Charlie
> On Tue, Oct 14, 2008 at 8:23 PM, Dan Shechter <da...@ho...> wrote:
> Hi,
> I've successfully compiled NumPy for Python 2.6 on Windows x64 (amd64).
> NumPy seems so pass most of the unit tests, except for a few minor ones
> where it seems nose (the unit testing harness) seems to have problems with
> python 2.6.
>
> After compiling MPL for 2.6 on x64 (which was a LENGTHY process... phew!) I
> do get a generally speaking working version but there seem to be quite a
> few
> display issues... I have re-occuring cases of "missing data points", for a
> lack of a better name.
> Feel free to look at a screenshot:
> http://img101.imageshack.us/my.php?image=badsubloptswy1.png
>
> Is MPL supported on Win x64? I someone working on this?
>
> I would be happy to share my NumPy build and MPL dependencies + MPL build
> with anyone that perhaps knowing a bit more than me about MPL :)
>
> -------------------------------------------------------------------------
> This SF.Net email is sponsored by the Moblin Your Move Developer's
> challenge
> Build the coolest Linux based applications with Moblin SDK & win great
> prizes
> Grand prize is a trip for two to an Open Source event anywhere in the world
> http://moblin-contest.org/redirect.php?banner_id=100&url=/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
>

Hi,

I installed matplotlib on my home pc with no problems but I followed the
same protocol on my work pc and got the following error:

    Traceback (most recent call last):
  File "<pyshell#0>", line 1, in <module>
    from pylab import *
  File "C:\Python25\Lib\site-packages\pylab.py", line 1, in <module>
    from matplotlib.pylab import *
  File "C:\Python25\lib\site-packages\matplotlib\__init__.py", line 677, in
<module>
    rcParams = rc_params()
  File "C:\Python25\lib\site-packages\matplotlib\__init__.py", line 598, in
rc_params
    fname = matplotlib_fname()
  File "C:\Python25\lib\site-packages\matplotlib\__init__.py", line 548, in
matplotlib_fname
    fname = os.path.join(get_configdir(), 'matplotlibrc')
  File "C:\Python25\lib\site-packages\matplotlib\__init__.py", line 242, in
wrapper
    ret = func(*args, **kwargs)
  File "C:\Python25\lib\site-packages\matplotlib\__init__.py", line 438, in
_get_configdir
    raise RuntimeError("Failed to create %s/.matplotlib; consider setting
MPLCONFIGDIR to a writable directory for matplotlib configuration data"%h)
RuntimeError: Failed to create C:\/.matplotlib; consider setting
MPLCONFIGDIR to a writable directory for matplotlib configuration data

...I checked and none of the python directories are read-only.  I also
followed the instructions on the thread 'runtime error' which dealt with I
think the same problems, but after patching the cutils.py (line 79) and the
__init__ (line 435) files, I now get a new error:

from matplotlib import mpl  # pulls in most modules
  File "C:\Python25\Lib\site-packages\matplotlib\mpl.py", line 1, in
<module>
    from matplotlib import artist
  File "C:\Python25\Lib\site-packages\matplotlib\artist.py", line 3, in
<module>
    import matplotlib.cbook as cbook
AttributeError: 'module' object has no attribute 'cbook'

Any advice would be appreciated, I can't understand what is different
between the two systems.  My home pc is vista, while work is XP pro.  Python
2.5.2, scipy, numpy and matplotlib all installed from binaries.

Thanks,

Dave 
-- 
View this message in context: http://www.nabble.com/error-on-trying-to-call-in-pylab-tp20012574p20012574.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

As with all other commands in matplotlib, show is blocking.  The 
interpreter stops at that line until the window closes.

To do interactive things with a separate GUI event loop, have a look at 
the demos in the event_handling directory of the examples.

Mike

Nick Vaidyanathan wrote:
> The figure would open and remain visible, but would not respond in the 
> expected manner to a button press. Consequently, Python would error 
> out saying "package does not contain method waitforbuttonpress()". I 
> was working on a school computer, 32-bit Intel that had just 
> downloaded a fresh version of whatever Enthought has inside, so you 
> might want to check in that package. 
>
> On Wed, Oct 15, 2008 at 5:41 AM, Michael Droettboom <md...@st... 
> <mailto:md...@st...>> wrote:
>
>     Nick Vaidyanathan wrote:
>
>         Does not exist here:
>         http://matplotlib.sourceforge.net/doc/html/api/pyplot_api.html
>          Which is curious, because it's plainly shown (PUNZ!) here:
>         http://matplotlib.sourceforge.net/doc/html/users/pyplot_tutorial.html
>          Now here's t3h sex: given the documentation, I kind of expect
>         this to work:
>          ---Python Code---
>         plotter.plot(xs,ys,'ro')
>         plotter.grid(True)
>         plotter.savefig('myresult.png')
>         plotter.show()
>         plotter.waitforbuttonpress(1)
>         plotter.close()
>         ---End Python Code---
>          I would expect that would keep my window open for a second,
>         or until I keyed a button, and then close it. No dice.
>
>     What, in fact, is happening for you?  No window at all?  Perhaps
>     your backend is set to a non-GUI backend?  Can you send us your
>     matplotlibrc file?
>
>     Cheers,
>     Mike
>
>          ...actually, I got my matplotlib through enthought, which has
>         an old version of the package (.91)...but a simple google
>         search for "matplotlib 0.91 api" doesn't show that package's
>         docs on the front page...help?
>           ------------------------------------------------------------------------
>
>         -------------------------------------------------------------------------
>         This SF.Net email is sponsored by the Moblin Your Move
>         Developer's challenge
>         Build the coolest Linux based applications with Moblin SDK &
>         win great prizes
>         Grand prize is a trip for two to an Open Source event anywhere
>         in the world
>         http://moblin-contest.org/redirect.php?banner_id=100&url=/
>         <http://moblin-contest.org/redirect.php?banner_id=100&url=/>
>         ------------------------------------------------------------------------
>
>         _______________________________________________
>         Matplotlib-users mailing list
>         Mat...@li...
>         <mailto:Mat...@li...>
>         https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>          
>
>
>     -- 
>     Michael Droettboom
>     Science Software Branch
>     Operations and Engineering Division
>     Space Telescope Science Institute
>     Operated by AURA for NASA
>
>

-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

Hi,

I installed matplotlib on my home pc with no problems but I followed the
same protocol on my work pc and got the following error:

    Traceback (most recent call last):
  File "<pyshell#0>", line 1, in <module>
    from pylab import *
  File "C:\Python25\Lib\site-packages\pylab.py", line 1, in <module>
    from matplotlib.pylab import *
  File "C:\Python25\lib\site-packages\matplotlib\__init__.py", line 677, in
<module>
    rcParams = rc_params()
  File "C:\Python25\lib\site-packages\matplotlib\__init__.py", line 598, in
rc_params
    fname = matplotlib_fname()
  File "C:\Python25\lib\site-packages\matplotlib\__init__.py", line 548, in
matplotlib_fname
    fname = os.path.join(get_configdir(), 'matplotlibrc')
  File "C:\Python25\lib\site-packages\matplotlib\__init__.py", line 242, in
wrapper
    ret = func(*args, **kwargs)
  File "C:\Python25\lib\site-packages\matplotlib\__init__.py", line 438, in
_get_configdir
    raise RuntimeError("Failed to create %s/.matplotlib; consider setting
MPLCONFIGDIR to a writable directory for matplotlib configuration data"%h)
RuntimeError: Failed to create C:\/.matplotlib; consider setting
MPLCONFIGDIR to a writable directory for matplotlib configuration data

...I checked and none of the python directories are read-only.  I also
followed the instructions on the thread 'runtime error' which dealt with I
think the same problems, but after patching the cutils.py (line 79) and the
__init__ (line 435) files, I now get a new error:

from matplotlib import mpl  # pulls in most modules
  File "C:\Python25\Lib\site-packages\matplotlib\mpl.py", line 1, in
<module>
    from matplotlib import artist
  File "C:\Python25\Lib\site-packages\matplotlib\artist.py", line 3, in
<module>
    import matplotlib.cbook as cbook
AttributeError: 'module' object has no attribute 'cbook'

Any advice would be appreciated, I can't understand what is different
between the two systems.  My home pc is vista, while work is XP pro.  Python
2.5.2, scipy, numpy and matplotlib all installed from binaries.

Thanks,

Dave 
-- 
View this message in context: http://www.nabble.com/error-on-trying-to-call-in-pylab-tp20012529p20012529.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

The problem seems to be fixed after updating SIP from 4.7 from the ubuntu
repositories to 4.7.7 from the source. I think it had to do with mixing
threading.Thread with a Qt application, but I'm not entirely sure.
Thanks for the info anyway,
Glenn

On Wed, Oct 15, 2008 at 6:00 AM, Michael Droettboom <md...@st...> wrote:

> I'm using Qt 4.3.0/PyQt 4.2, compiled from source on RHEL4 with no
> problems, so it's not necessarily that your version is too old.
>
> Once you have a script to reproduce and (ideally) a gdb backtrace, that
> should help us narrow down on the root cause.
>
> Mike
>
> G Jones wrote:
>
>> Hello,
>> I'm trying to track down a segfault when a canvas.draw() call is made in
>> my GUI program using the Qt4Agg backend. I am running matplotlib 0.98.3 and
>> Qt 4.3.2. <http://4.3.2.> I know the Qt version is a bit old, so I wanted
>> to check if I should be suspicious of version incompatibility. I am working
>> on a script to demonstrate the segfault.
>> Thanks,
>> Glenn
>> ------------------------------------------------------------------------
>>
>> -------------------------------------------------------------------------
>> This SF.Net email is sponsored by the Moblin Your Move Developer's
>> challenge
>> Build the coolest Linux based applications with Moblin SDK & win great
>> prizes
>> Grand prize is a trip for two to an Open Source event anywhere in the
>> world
>> http://moblin-contest.org/redirect.php?banner_id=100&url=/
>> ------------------------------------------------------------------------
>>
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>
> --
> Michael Droettboom
> Science Software Branch
> Operations and Engineering Division
> Space Telescope Science Institute
> Operated by AURA for NASA
>
>

The figure would open and remain visible, but would not respond in the
expected manner to a button press. Consequently, Python would error out
saying "package does not contain method waitforbuttonpress()". I was working
on a school computer, 32-bit Intel that had just downloaded a fresh version
of whatever Enthought has inside, so you might want to check in that
package.

On Wed, Oct 15, 2008 at 5:41 AM, Michael Droettboom <md...@st...> wrote:

> Nick Vaidyanathan wrote:
>
>> Does not exist here:
>> http://matplotlib.sourceforge.net/doc/html/api/pyplot_api.html
>>  Which is curious, because it's plainly shown (PUNZ!) here:
>> http://matplotlib.sourceforge.net/doc/html/users/pyplot_tutorial.html
>>  Now here's t3h sex: given the documentation, I kind of expect this to
>> work:
>>  ---Python Code---
>> plotter.plot(xs,ys,'ro')
>> plotter.grid(True)
>> plotter.savefig('myresult.png')
>> plotter.show()
>> plotter.waitforbuttonpress(1)
>> plotter.close()
>> ---End Python Code---
>>  I would expect that would keep my window open for a second, or until I
>> keyed a button, and then close it. No dice.
>>
> What, in fact, is happening for you?  No window at all?  Perhaps your
> backend is set to a non-GUI backend?  Can you send us your matplotlibrc
> file?
>
> Cheers,
> Mike
>
>>  ...actually, I got my matplotlib through enthought, which has an old
>> version of the package (.91)...but a simple google search for "matplotlib
>> 0.91 api" doesn't show that package's docs on the front page...help?
>>   ------------------------------------------------------------------------
>>
>> -------------------------------------------------------------------------
>> This SF.Net email is sponsored by the Moblin Your Move Developer's
>> challenge
>> Build the coolest Linux based applications with Moblin SDK & win great
>> prizes
>> Grand prize is a trip for two to an Open Source event anywhere in the
>> world
>> http://moblin-contest.org/redirect.php?banner_id=100&url=/
>> ------------------------------------------------------------------------
>>
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>
> --
> Michael Droettboom
> Science Software Branch
> Operations and Engineering Division
> Space Telescope Science Institute
> Operated by AURA for NASA
>
>

Dear folks,

I wrote an ad-hoc script to generate buttons that have the 'glossy' effect.
The implementation is fairly straightforward and did work -- the buttons
themselves are rectangles with rounded corners so I call a polygon patch.
The light is simulated using a white, transparent ellipse. But there is one
problem though, the ellipse would mask anything that's above the buttons as
well.

Any people interested to take a look and suggest a solution?

Haibao

-------------------------------------------------------------------------------------------------------------
from pylab import *
from matplotlib.patches import *

fig = figure(1,(8,8))
root = fig.add_axes([0,0,1,1])

def plot_cap(center, t, r):
    x, y = center
    return zip(x+r*cos(t), y+r*sin(t))

def round_rect(ax, xy, width, height, shrink=.33, label=None, **kwargs):
    shrink *= height
    x,y=xy
    pts = []
    # plot the four rounded cap one by one
    pts += plot_cap((x+width-shrink, y+height-shrink), array([radians(j) for
j in range(0,90)]), shrink)
    pts += [[x+width-shrink, y+height], [x+shrink, y+height]]
    pts += plot_cap((x+shrink, y+height-shrink), array([radians(j) for j in
range(90,180)]), shrink)
    pts += [[x, y+height-shrink], [x, y+shrink]]
    pts += plot_cap((x+shrink, y+shrink), array([radians(j) for j in
range(180,270)]), shrink)
    pts += [[x+shrink, y], [x+width-shrink, y]]
    pts += plot_cap((x+width-shrink, y+shrink), array([radians(j) for j in
range(270,360)]), shrink)
    pts += [[x+width, y+shrink], [x+width, y+height-shrink]]
    ax.add_patch(Polygon(pts, **kwargs))
    # add a white transparency ellipse filter
    # CAUTION -- things immediately above the button will be masked too!!!

ax.add_patch(Ellipse((x+width/2.,y+height),1.6*width,height*.8,fc='w',alpha=.3,lw=0))
    if label:
root.text(x+width/2.,y+height/2.,label,size=10,horizontalalignment="center",verticalalignment="center",color="w")

round_rect(root,(.45,.4),.1,.04,label="Button",lw=0,fc='k')
round_rect(root,(.15,.4),.2,.08,label="Download\nFirefox",lw=0,fc='r')
round_rect(root,(.65,.4),.2,.08,label="Google\nChrome",lw=0,fc='g')

root.set_xlim(0,1)
root.set_ylim(0,1)
root.set_axis_off()

savefig("glossy.pdf")
----------------------------------------------------------------------------------------------------------------------

Yeap...
I also forgot to mention this in response to Charlie's question.

MPL + NumPy work seemlessly on Linux amd64, and have been so for at least
the two years I've been
using them.
Having said that, I have only used them with Python 2.5 amd64 and not with
2.6 on Linux.

I've compiled the packaged I linked to before on Vista x64 with VS 2008 SP1.

I've been able to reproduce the impaired visual effects on Vista x64 AND
Windows XP x64 so far.

So I would say that this definitely rules out 64-bit non-safety as a general
issue and this is either a problem with
the dependencies on x64 or MPL itself.


-----Original Message-----
From: Michael Droettboom [mailto:md...@st...] 
Sent: Wednesday, October 15, 2008 4:02 PM
To: Dan Shechter
Cc: 'Charlie Moad'; mat...@li...
Subject: Re: [Matplotlib-users] MPL on Windows x64 with Python 2.6

An interesting data point would be if anyone is successfully running 
matplotlib on another amd64 platform...?  (I'm running 32-bit Linux, so 
I can't help.)  That might help rule our 64-bit non-safety in general 
vs. something specific to the Windows toolchain.

Mike

Dan Shechter wrote:
> Of course... I'll try to be as detailed as I can be...
>
> I'll start off by mentioning that I have created and uploaded and 
> archive with a snapshot of everything that I've got so far:
> http://rapidshare.com/files/154096953/py-64.7z.html
>
> The env. I'm using is:
> * VS9 (2008)
> * Python 2.6 for amd 64 (compiled with VS9 by the python.org folks)
>
> To compile Numpy I did this:
> 1. Extract Numpy 1.2
> 2. Start the Visual Studio 2008 Command prompt
> 3. Patch "numpy-1.2.0\numpy\core\src\umathmodule.c.src" according to the
> instructios here:
>  
>
http://projects.scipy.org/pipermail/numpy-discussion/2008-October/037981.htm
> l
>  
>
http://projects.scipy.org/pipermail/numpy-discussion/2008-October/037994.htm
> l
> 4. invoke python setup.py build bdist_wininst
> 5. Install the resulting installer
> 6. Run numpy.test()... (You'll need a installed nose unit-test framework,
> which is in the archive I've attached)
>
> For MPL:
> 1. Extract matplotlib-0.98.3
> 2. I downloaded the win32_static package so I can see the "recomended" 
>    static dependencies and compiled the dependencies as best I could, 
>    altering the provided ".sln"/".csproj" files as best I could to compile

>    for x64 (none of them have pre-made x64 "builds")
>    What I compiled out of the win32 packages was:
>    libpng / zlib
>    freetype
> 3. I restructures the headers / .lib files in a manner similar to how they
> were with
>    the win32_static package, and placed it in a "win64" directory
> 4. Changed setupext.py to use "win64" instead of "win32_static"
> 5. Compiled with python setup.py build bdist_wininst, installed the
> resulting installer
> 6. Ran a few tests...
>
> That's it.
> I'm still "missing" on getting the wxPython headers/static libs compiled,
> but I assume this is not a 
> "critical" part of getting MPL working, but rather required for
completeness
> sake.
>
>
> From: Charlie Moad [mailto:cw...@gm...] 
> Sent: Wednesday, October 15, 2008 03:11
> To: Dan Shechter
> Cc: mat...@li...
> Subject: Re: [Matplotlib-users] MPL on Windows x64 with Python 2.6
>
> Could you please describe your build environment?  I am interested in what
> compiler you used and what OS you are running.
>
> - Charlie
> On Tue, Oct 14, 2008 at 8:23 PM, Dan Shechter <da...@ho...> wrote:
> Hi,
> I've successfully compiled NumPy for Python 2.6 on Windows x64 (amd64).
> NumPy seems so pass most of the unit tests, except for a few minor ones
> where it seems nose (the unit testing harness) seems to have problems with
> python 2.6.
>
> After compiling MPL for 2.6 on x64 (which was a LENGTHY process... phew!)
I
> do get a generally speaking working version but there seem to be quite a
few
> display issues... I have re-occuring cases of "missing data points", for a
> lack of a better name.
> Feel free to look at a screenshot:
> http://img101.imageshack.us/my.php?image=badsubloptswy1.png
>
> Is MPL supported on Win x64? I someone working on this?
>
> I would be happy to share my NumPy build and MPL dependencies + MPL build
> with anyone that perhaps knowing a bit more than me about MPL :)
>
> -------------------------------------------------------------------------
> This SF.Net email is sponsored by the Moblin Your Move Developer's
challenge
> Build the coolest Linux based applications with Moblin SDK & win great
> prizes
> Grand prize is a trip for two to an Open Source event anywhere in the
world
> http://moblin-contest.org/redirect.php?banner_id=100&url=/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
>
> -------------------------------------------------------------------------
> This SF.Net email is sponsored by the Moblin Your Move Developer's
challenge
> Build the coolest Linux based applications with Moblin SDK & win great
prizes
> Grand prize is a trip for two to an Open Source event anywhere in the
world
> http://moblin-contest.org/redirect.php?banner_id=100&url=/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>   

-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

An interesting data point would be if anyone is successfully running 
matplotlib on another amd64 platform...?  (I'm running 32-bit Linux, so 
I can't help.)  That might help rule our 64-bit non-safety in general 
vs. something specific to the Windows toolchain.

Mike

Dan Shechter wrote:
> Of course... I'll try to be as detailed as I can be...
>
> I'll start off by mentioning that I have created and uploaded and 
> archive with a snapshot of everything that I've got so far:
> http://rapidshare.com/files/154096953/py-64.7z.html
>
> The env. I'm using is:
> * VS9 (2008)
> * Python 2.6 for amd 64 (compiled with VS9 by the python.org folks)
>
> To compile Numpy I did this:
> 1. Extract Numpy 1.2
> 2. Start the Visual Studio 2008 Command prompt
> 3. Patch "numpy-1.2.0\numpy\core\src\umathmodule.c.src" according to the
> instructios here:
>  
> http://projects.scipy.org/pipermail/numpy-discussion/2008-October/037981.htm
> l
>  
> http://projects.scipy.org/pipermail/numpy-discussion/2008-October/037994.htm
> l
> 4. invoke python setup.py build bdist_wininst
> 5. Install the resulting installer
> 6. Run numpy.test()... (You'll need a installed nose unit-test framework,
> which is in the archive I've attached)
>
> For MPL:
> 1. Extract matplotlib-0.98.3
> 2. I downloaded the win32_static package so I can see the "recomended" 
>    static dependencies and compiled the dependencies as best I could, 
>    altering the provided ".sln"/".csproj" files as best I could to compile 
>    for x64 (none of them have pre-made x64 "builds")
>    What I compiled out of the win32 packages was:
>    libpng / zlib
>    freetype
> 3. I restructures the headers / .lib files in a manner similar to how they
> were with
>    the win32_static package, and placed it in a "win64" directory
> 4. Changed setupext.py to use "win64" instead of "win32_static"
> 5. Compiled with python setup.py build bdist_wininst, installed the
> resulting installer
> 6. Ran a few tests...
>
> That's it.
> I'm still "missing" on getting the wxPython headers/static libs compiled,
> but I assume this is not a 
> "critical" part of getting MPL working, but rather required for completeness
> sake.
>
>
> From: Charlie Moad [mailto:cw...@gm...] 
> Sent: Wednesday, October 15, 2008 03:11
> To: Dan Shechter
> Cc: mat...@li...
> Subject: Re: [Matplotlib-users] MPL on Windows x64 with Python 2.6
>
> Could you please describe your build environment?  I am interested in what
> compiler you used and what OS you are running.
>
> - Charlie
> On Tue, Oct 14, 2008 at 8:23 PM, Dan Shechter <da...@ho...> wrote:
> Hi,
> I've successfully compiled NumPy for Python 2.6 on Windows x64 (amd64).
> NumPy seems so pass most of the unit tests, except for a few minor ones
> where it seems nose (the unit testing harness) seems to have problems with
> python 2.6.
>
> After compiling MPL for 2.6 on x64 (which was a LENGTHY process... phew!) I
> do get a generally speaking working version but there seem to be quite a few
> display issues... I have re-occuring cases of "missing data points", for a
> lack of a better name.
> Feel free to look at a screenshot:
> http://img101.imageshack.us/my.php?image=badsubloptswy1.png
>
> Is MPL supported on Win x64? I someone working on this?
>
> I would be happy to share my NumPy build and MPL dependencies + MPL build
> with anyone that perhaps knowing a bit more than me about MPL :)
>
> -------------------------------------------------------------------------
> This SF.Net email is sponsored by the Moblin Your Move Developer's challenge
> Build the coolest Linux based applications with Moblin SDK & win great
> prizes
> Grand prize is a trip for two to an Open Source event anywhere in the world
> http://moblin-contest.org/redirect.php?banner_id=100&url=/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
>
> -------------------------------------------------------------------------
> This SF.Net email is sponsored by the Moblin Your Move Developer's challenge
> Build the coolest Linux based applications with Moblin SDK & win great prizes
> Grand prize is a trip for two to an Open Source event anywhere in the world
> http://moblin-contest.org/redirect.php?banner_id=100&url=/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>   

-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

I'm using Qt 4.3.0/PyQt 4.2, compiled from source on RHEL4 with no 
problems, so it's not necessarily that your version is too old.

Once you have a script to reproduce and (ideally) a gdb backtrace, that 
should help us narrow down on the root cause.

Mike

G Jones wrote:
> Hello,
> I'm trying to track down a segfault when a canvas.draw() call is made 
> in my GUI program using the Qt4Agg backend. I am running matplotlib 
> 0.98.3 and Qt 4.3.2. <http://4.3.2.> I know the Qt version is a bit 
> old, so I wanted to check if I should be suspicious of version 
> incompatibility. I am working on a script to demonstrate the segfault.
> Thanks,
> Glenn
> ------------------------------------------------------------------------
>
> -------------------------------------------------------------------------
> This SF.Net email is sponsored by the Moblin Your Move Developer's challenge
> Build the coolest Linux based applications with Moblin SDK & win great prizes
> Grand prize is a trip for two to an Open Source event anywhere in the world
> http://moblin-contest.org/redirect.php?banner_id=100&url=/
> ------------------------------------------------------------------------
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>   

-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

Nick Vaidyanathan wrote:
> Does not exist here: 
> http://matplotlib.sourceforge.net/doc/html/api/pyplot_api.html
>  
> Which is curious, because it's plainly shown (PUNZ!) here: 
> http://matplotlib.sourceforge.net/doc/html/users/pyplot_tutorial.html
>  
> Now here's t3h sex: given the documentation, I kind of expect this to 
> work:
>  
> ---Python Code---
> plotter.plot(xs,ys,'ro')
> plotter.grid(True)
> plotter.savefig('myresult.png')
> plotter.show()
> plotter.waitforbuttonpress(1)
> plotter.close()
> ---End Python Code---
>  
> I would expect that would keep my window open for a second, or until I 
> keyed a button, and then close it. No dice.
What, in fact, is happening for you?  No window at all?  Perhaps your 
backend is set to a non-GUI backend?  Can you send us your matplotlibrc 
file?

Cheers,
Mike
>  
> ...actually, I got my matplotlib through enthought, which has an old 
> version of the package (.91)...but a simple google search for 
> "matplotlib 0.91 api" doesn't show that package's docs on the front 
> page...help?
>  
>  
> ------------------------------------------------------------------------
>
> -------------------------------------------------------------------------
> This SF.Net email is sponsored by the Moblin Your Move Developer's challenge
> Build the coolest Linux based applications with Moblin SDK & win great prizes
> Grand prize is a trip for two to an Open Source event anywhere in the world
> http://moblin-contest.org/redirect.php?banner_id=100&url=/
> ------------------------------------------------------------------------
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>   

-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

Hello,
I'm trying to track down a segfault when a canvas.draw() call is made in my
GUI program using the Qt4Agg backend. I am running matplotlib 0.98.3 and Qt
4.3.2. I know the Qt version is a bit old, so I wanted to check if I should
be suspicious of version incompatibility. I am working on a script to
demonstrate the segfault.
Thanks,
Glenn

Of course... I'll try to be as detailed as I can be...

I'll start off by mentioning that I have created and uploaded and 
archive with a snapshot of everything that I've got so far:
http://rapidshare.com/files/154096953/py-64.7z.html

The env. I'm using is:
* VS9 (2008)
* Python 2.6 for amd 64 (compiled with VS9 by the python.org folks)

To compile Numpy I did this:
1. Extract Numpy 1.2
2. Start the Visual Studio 2008 Command prompt
3. Patch "numpy-1.2.0\numpy\core\src\umathmodule.c.src" according to the
instructios here:
 
http://projects.scipy.org/pipermail/numpy-discussion/2008-October/037981.htm
l
 
http://projects.scipy.org/pipermail/numpy-discussion/2008-October/037994.htm
l
4. invoke python setup.py build bdist_wininst
5. Install the resulting installer
6. Run numpy.test()... (You'll need a installed nose unit-test framework,
which is in the archive I've attached)

For MPL:
1. Extract matplotlib-0.98.3
2. I downloaded the win32_static package so I can see the "recomended" 
   static dependencies and compiled the dependencies as best I could, 
   altering the provided ".sln"/".csproj" files as best I could to compile 
   for x64 (none of them have pre-made x64 "builds")
   What I compiled out of the win32 packages was:
   libpng / zlib
   freetype
3. I restructures the headers / .lib files in a manner similar to how they
were with
   the win32_static package, and placed it in a "win64" directory
4. Changed setupext.py to use "win64" instead of "win32_static"
5. Compiled with python setup.py build bdist_wininst, installed the
resulting installer
6. Ran a few tests...

That's it.
I'm still "missing" on getting the wxPython headers/static libs compiled,
but I assume this is not a 
"critical" part of getting MPL working, but rather required for completeness
sake.


From: Charlie Moad [mailto:cw...@gm...] 
Sent: Wednesday, October 15, 2008 03:11
To: Dan Shechter
Cc: mat...@li...
Subject: Re: [Matplotlib-users] MPL on Windows x64 with Python 2.6

Could you please describe your build environment?  I am interested in what
compiler you used and what OS you are running.

- Charlie
On Tue, Oct 14, 2008 at 8:23 PM, Dan Shechter <da...@ho...> wrote:
Hi,
I've successfully compiled NumPy for Python 2.6 on Windows x64 (amd64).
NumPy seems so pass most of the unit tests, except for a few minor ones
where it seems nose (the unit testing harness) seems to have problems with
python 2.6.

After compiling MPL for 2.6 on x64 (which was a LENGTHY process... phew!) I
do get a generally speaking working version but there seem to be quite a few
display issues... I have re-occuring cases of "missing data points", for a
lack of a better name.
Feel free to look at a screenshot:
http://img101.imageshack.us/my.php?image=badsubloptswy1.png

Is MPL supported on Win x64? I someone working on this?

I would be happy to share my NumPy build and MPL dependencies + MPL build
with anyone that perhaps knowing a bit more than me about MPL :)

-------------------------------------------------------------------------
This SF.Net email is sponsored by the Moblin Your Move Developer's challenge
Build the coolest Linux based applications with Moblin SDK & win great
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_______________________________________________
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Mat...@li...
https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Hi,
you might want to look here:
http://matplotlib.sourceforge.net/tutorial.html
If I understand what you mean by cross-table and graph, then you are just
plotting two lines of data?
That would require:
pylab.plot(x, y1, 'ro', x, y2, 'bo')
or something like that. Look at the tutorials.

And you would need the data. A good idea is to write them in a simple ascii
file.
Please have a look at the following page:
http://www.scipy.org/Cookbook/InputOutput

This would require for example:
data = numpy.loadtxt('table.dat', unpack=True)

When I need to plot data from a file where the data is seperated by comma
(csv file), I do something like this:

import pylab
data = pylab.load(filename, delimiter=',',skiprows=1)  # the first row is
often a table header
fig = pylab.figure()
ax = fig.add_subplot(111)  # if you need more then one plot per figure, just
change here
ax.set_xlabel(cals['x units'])
ax.set_ylabel('y units')
ax.plot(data[::,0],data2[::,1]) # this plots col 0 against col 1, uses all
the rows
ax.autoscale_view()
ax.grid(True)
pylab.show()


Cheers,
Stefan

2008/10/15 He Jibo <he...@gm...>

> Dear All,
>
> I am sorry for the bother, but could you please give me some help?
> I have some pilot data, which is too large to graph in excel, about 16MB.
> So I hope I can do the cross-tabulation and plot in matlab. How can I draw a
> cross-table and graph with matlab like the one in the attachment?
> Thank you so much for your time ! Good night!
>
>
> He Jibo
> he...@gm...
> ji...@cy...
>
>
> ---------------------------
> He Jibo
> Department of Psychology,
> Beckman Institute for Advanced Science and Technology
> University of Illinois, Urbana Champaign,
> 603 East Daniel St.,
> Champaign, IL 61820
> Tel: 217-244-4461(office)
> 217-244-6763(lab)
> Email: he...@gm...
> Helen Hayes  - "Age is not important unless you're a cheese."
>
>
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Does not exist here:
http://matplotlib.sourceforge.net/doc/html/api/pyplot_api.html

Which is curious, because it's plainly shown (PUNZ!) here:
http://matplotlib.sourceforge.net/doc/html/users/pyplot_tutorial.html

Now here's t3h sex: given the documentation, I kind of expect this to work:

---Python Code---
plotter.plot(xs,ys,'ro')
plotter.grid(True)
plotter.savefig('myresult.png')
plotter.show()
plotter.waitforbuttonpress(1)
plotter.close()
---End Python Code---

I would expect that would keep my window open for a second, or until I keyed
a button, and then close it. No dice.

...actually, I got my matplotlib through enthought, which has an old version
of the package (.91)...but a simple google search for "matplotlib 0.91 api"
doesn't show that package's docs on the front page...help?

Could you please describe your build environment?  I am interested in what
compiler you used and what OS you are running.
- Charlie

On Tue, Oct 14, 2008 at 8:23 PM, Dan Shechter <da...@ho...> wrote:

> Hi,
> I've successfully compiled NumPy for Python 2.6 on Windows x64 (amd64).
> NumPy seems so pass most of the unit tests, except for a few minor ones
> where it seems nose (the unit testing harness) seems to have problems with
> python 2.6.
>
> After compiling MPL for 2.6 on x64 (which was a LENGTHY process... phew!) I
> do get a generally speaking working version but there seem to be quite a few
> display issues... I have re-occuring cases of "missing data points", for a
> lack of a better name.
> Feel free to look at a screenshot:
> http://img101.imageshack.us/my.php?image=badsubloptswy1.png
>
> Is MPL supported on Win x64? I someone working on this?
>
> I would be happy to share my NumPy build and MPL dependencies + MPL build
> with anyone that perhaps knowing a bit more than me about MPL :)
>
> -------------------------------------------------------------------------
> This SF.Net email is sponsored by the Moblin Your Move Developer's
> challenge
> Build the coolest Linux based applications with Moblin SDK & win great
> prizes
> Grand prize is a trip for two to an Open Source event anywhere in the world
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> _______________________________________________
> Matplotlib-users mailing list
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>
>

Hi,
I've successfully compiled NumPy for Python 2.6 on Windows x64 (amd64).
NumPy seems so pass most of the unit tests, except for a few minor ones
where it seems nose (the unit testing harness) seems to have problems with
python 2.6.

After compiling MPL for 2.6 on x64 (which was a LENGTHY process... phew!) I
do get a generally speaking working version but there seem to be quite a few
display issues... I have re-occuring cases of "missing data points", for a
lack of a better name.
Feel free to look at a screenshot:
http://img101.imageshack.us/my.php?image=badsubloptswy1.png

Is MPL supported on Win x64? I someone working on this?

I would be happy to share my NumPy build and MPL dependencies + MPL build
with anyone that perhaps knowing a bit more than me about MPL :)

I had a bug in my code, when I fixed it I can now see the lines.
If there is a better way to do what I'm doing, and love to hear it.




Mathew Yeates wrote:
> Any help appreciated
>
> I am displaying a line on a map ala
> --------------
> m=Basemap(  .... )
> xpt,ypt= m([],[])
> outlines=m.plot(xpt,ypt,'r-')
> -----------------
> and then in an update routine I do
>
> ----------------
> def update(newxpts,newypts):
>     outlines[0].set_data(newxpst,newypts)
> -----------------------
>
> This works fine but now I want to add additional lines. I tried
>
> --------------------
> m=Basemap(  .... )
> xpt,ypt= m([],[])
> outlines=m.plot(xpt,ypt,'r-')
> slitlines=[]
> for i in range(0,500):
>     slitlines.append(m.plot([],[],'b-'))
> ------------------------
>
> and
>
> ------------------------
> def update(newxpts,newypts,newslitx,newlity):
>     outlines[0].set_data(newxpst,newypts)
>      for i in 
> range(0,500):slitlines[i][0].set_data([startx[i],endx[i]],[starty[i],endy[i]])
> -------------------------
>
> but this doesn't work. Clearly I'm doing something wrong.
> Whats the best way to do this?
>
> Thanks
> Mathew
>          
>
>
>    
>    
>    
>
>
>
> -------------------------------------------------------------------------
> This SF.Net email is sponsored by the Moblin Your Move Developer's challenge
> Build the coolest Linux based applications with Moblin SDK & win great prizes
> Grand prize is a trip for two to an Open Source event anywhere in the world
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> _______________________________________________
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>
>   

John Hunter wrote:
> On Tue, Oct 14, 2008 at 2:58 PM, Eric Firing <ef...@ha...> wrote:
>>  mask = (PyArrayObject *)PyArray_SimpleNew(1,dimensions,PyArray_INT);
>>
>> in nxutils.cpp would become
>>
>>  mask = (PyArrayObject *)PyArray_SimpleNew(1,dimensions, NPY_BOOL);
>>
>> Can anyone think of anything this would break, or any disadvantages?
> 
> This looks better to me too - -I suggest testing it with the lasso
> demo which was the example that motivated this code.
> 
> JDH

It worked, so I went ahead and committed the change.  I had to change 
one other line, and while in the neighborhood I replaced the other 
old-form PyArray_* with NPY_*.

Eric