matplotlib-users — Discussion related to using matplotlib

Re: [Matplotlib-users] how to make matplotlib faster?

[John H. <jdh...@ac...>]

>>>>> "Norbert" == Norbert Nemec <No...@ne...> writes:

    Norbert> I have experienced some extreme inefficiency using
    Norbert> errorbar plots for large datasets. Obviously, the
    Norbert> "hlines" routine is a huge bottleneck. Would it be
    Norbert> possible, in principle, to use an efficient collection
    Norbert> instead?
As Perry noted, it would be nice to see some of Eric's code to see if
this is the kind of bottleneck he is bumping into.

It would be very straightforward to use collections here is what they
were designed for - removing bottlenecks created by instantiating many
similar objects.  I've never plotted a large number of errorbar lines
so haven't bumped into this one.

Note this might break some code which is relying on the fact that the
errorbar routing is returning a list of errorbar lines.  collections
are designed to respond similarly to lists of lines under the set
command.  Eg

  set(lines, color='r', linewidth=4)

and 

  set(collection, color='r', linewidth=4)

will both work.

But if someone is currently doing 

  lines[2].set_color('g')

or

  for line in lines:
      line.set_something(else)

there would be a backward incompatibility with this change.  Note it
would be possible to define setitem, getitem, and possibly setslice,
getslice and iter for collections to make them behave more like lists
of objects, which would be nice if we (you) want to make this change.

Is anyone changing the properties of individual error lines returned
by errorbar?

JDH

Re: [Matplotlib-users] how to make matplotlib faster?

[Norbert N. <No...@ne...>]

Am Mittwoch, 8. Dezember 2004 16:35 schrieb Perry Greenfield:
> Could you give some indication of what speed you are getting vs what you
> have gotten under other plotting packages?

I have experienced some extreme inefficiency using errorbar plots for large 
datasets. Obviously, the "hlines" routine is a huge bottleneck. Would it be 
possible, in principle, to use an efficient collection instead?

-- 
_________________________________________Norbert Nemec
         Bernhardstr. 2 ... D-93053 Regensburg
     Tel: 0941 - 2009638 ... Mobil: 0179 - 7475199
           eMail: <No...@Ne...>

Contour plots [Was: Re: [Matplotlib-users] how to make matplotlib faster?]

[LUK S. <shu...@po...>]

Perry Greenfield wrote:
> 
> On Dec 8, 2004, at 3:29 AM, Eric Emsellem wrote:
> 
>> Hi,
>>
>> I am now trying to switch from ppgplot to matplotlib and I
>> really like the latter for the much nicer plots and functionalities
>> (although limitations such as the absence of contour plots is a 
>> critical one).
> 
> 
> There is progress being made on contour plots. We've implemented a basic
> version that John Hunter is looking at now.
> 

It's really nice to hear that. As Eric said, it's one thing that is 
sorely missed.

As it's being implemented, here is a little wish. I'd like to see the 
capability of contouring on an arbitrary grid. That is, matplotlab would 
be able to plot the contours of a function f(x_i, y_i) given on an 
arbitrary set of points (x_i, y_i), not necessarily set out on a regular 
grid.

Regards,
ST
--

Re: [Matplotlib-users] Date demos from examples fail to run

[Philip A. <pa...@eo...>]

Delbert D. Franz writes:
 > I am evaluating matplotlib for its date handling for plotting time 
 > series produced by a unsteady-flow simulation package.  
 > I downloaded the Debian package from http://anakonda.altervista.org/debian
 > because I could not get apt-get to get the package after modifying
 > my sources.list.  

This problem went away for me when I upgraded

to date-util to version 0.5
https://moin.conectiva.com.br/DateUtil#head-f5cbdf6bfb51439be085b5c6b7460a7c91eabc3c

-- Phil

[Matplotlib-users] Date demos from examples fail to run

[Delbert D. F. <iq...@so...>]

I am evaluating matplotlib for its date handling for plotting time 
series produced by a unsteady-flow simulation package.  
I downloaded the Debian package from http://anakonda.altervista.org/debian
because I could not get apt-get to get the package after modifying
my sources.list.  

However, dpkg did not complain about any missing packages and 
several test cases worked well.  However, none of the following 
examples would run

date_demo1.py  
    error---cannot import date2num, num2date

date_demo2.py
    error--cannot import name MONDAY

date_demo_convert.py
    error--cannot import DayLocator, HourLocator

date_demo_rrule.py
    error--cannot import name YEARLY

After some time checking docs and looking at the various
*.py files involved, I noticed that none of the dateutl files 
were on my system and neither were the pytz files.  
The documentation on the web site clearly states that 
the dateutil files are included in the package but somehow 
they got missed in the 0.64-1 release downloaded from the
site given above.  

After downloading and installing these two packages all 
but date_demo_rrule.py completed properly.  
The error in this case was an unknown name "rand".
A check of the Python Library reference stated it was
obsolete.  I replaced it with random.randrange but 
got another error, an assertion error apparently on 
the y value.  Being somewhat new to Python and 
even newer to matplotlib I gave up on that demo. 

Perhaps someone else can test date_demo_rrule.py
and see what happens.  It is always a good thing when
demos in fact run!

I am also testing under MS Windows and the dateutils
and pytz files came with that install but none of the 
example files came.  Not sure why they are not 
included in the *.exe installer. 

I am using Python 2.3.4
matplotlib   0.64-1
Libranet 2.8.1
Kernel 2.6.9

                                      Delbert Franz 

[Matplotlib-users] plot scatter priority

[Humufr <hu...@ya...>]

       Hello,

I have a problem to plot some data.

I use "plot" to plot some data and "scatter" for other. I obtain a plot 
whith the point trace with "scatter" are behind the points from "plot". 
I tried to change the order in the script but that change nothing.
Do you know how to do this? (I want use scatter because I want have a 
specific size for this points)

Thanks,

    Nicolas

[Matplotlib-users] Debian packages gone?

[Curtis C. <cu...@hi...>]

To whomever manages the Debian packages for matplotlib:

Recently (past month), I've been getting an Ign from apt-get update for
the Debian package of Matplotlib.  Has the URL changed?

Cheers,
Curtis



      * * * * * * * * * * * * * * * * * * * * * * * * * * * *
    *   Curtis S. Cooper, Graduate Research Assistant         *
   *    Lunar and Planetary Laboratory, University of Arizona  *
   *    http://www.lpl.arizona.edu/~curtis/		       *
   *    Kuiper Space Sciences, Rm. 318                         *
    *   1629 E. University Blvd.,                             *
     *  Tucson, AZ 85721        * * * * * * * * * * * * * * *
      * Wk: (520) 621-1471     *
       * * * * * * * * * * * *

Re: [Matplotlib-users] how to make matplotlib faster?

[Perry G. <pe...@st...>]

On Dec 8, 2004, at 3:29 AM, Eric Emsellem wrote:

> Hi,
>
> I am now trying to switch from ppgplot to matplotlib and I
> really like the latter for the much nicer plots and functionalities
> (although limitations such as the absence of contour plots is a 
> critical one).

There is progress being made on contour plots. We've implemented a basic
version that John Hunter is looking at now.
>
> However, I just made a small script to plot 10 small subplots
> on a single window repeatedly (going through slices of an array each 
> time)
> and it is bloody slooooooooow (a very large factor slower than anything
> I can use to do the same thing with python and some graphical 
> functions).
>
> I personnally think this is a major limitation (with the contours) of
> that piece of soft, and may discourage many (and myself).
>
Could you give some indication of what speed you are getting vs what you
have gotten under other plotting packages? How big is the slice (how 
many
points)? What kind of plot? Showing the actual script may help a lot in
understanding why it is so slow. There may be other ways that are 
faster,
or it will at least point to the main bottleneck that could stand 
improvement.
This complaint is too general to be helpful. I'm not sure it should be
matplotlib's goal to be the fastest package around, but it should be
fast enough for ordinary plotting (which means different things to
different people of course).

> Is there a way to improve (dramatically) this? Is there a plan there?
>
> thanks in advance,
>
> Eric Emsellem
>
> P.S.: by the way I solved the cursor problem I posted (and got no 
> answer)
> by defining a new cursor class (something already hinted
> by many on the web), if anyone is interested..
>
I missed this post (I'm too busy at the moment to read all posts).
Yes, having this functionality is important. Some of this is possible
now but John has this at his fingertips (I can't recall the details).
If I have time I'll see if I can dig this up.

Perry

[Matplotlib-users] matplotlib and gnome-python-2.6.1

[<dig...@bl...>]

hello,

i was enjoying using matplotlib... until i installed gnome-python-2.6.1. now, when i do something simple like:

>>> figure(1)

the interpreter hangs up for AGES. with verbose matplotlib output, the place at which it hangs is here:

Value::~Value
Value::~Value
Point::~Point
Value::~Value
Value::~Value
Bbox::~Bbox
Point::~Point
Value::~Value
Value::~Value
Point::~Point
Value::~Value
Value::~Value
Transformation::~Transformation
<HERE>

eventually i get back to the prompt. has anyone else experienced this incompatibility?

cheers,
andrew.

-- 
Andrew B. Collier

Antarctic Research Fellow                                   tel: +27 31 2601157
Space Physics Research Institute                            fax: +27 31 2616550
University of KwaZulu-Natal, Durban, 4041, South Africa

Re: [Matplotlib-users] how to make matplotlib faster?

[Arnd B. <arn...@we...>]

Hi Eric,

On Wed, 8 Dec 2004, Eric Emsellem wrote:

[...]

> P.S.: by the way I solved the cursor problem I posted (and got no answer)
> by defining a new cursor class (something already hinted
> by many on the web), if anyone is interested..

I would be very interested in this - maybe you could
post it here (also for the archive ;-).
If possible it would be nice to see this integrated into matplotlib
because this sounds like a replacement of scipy.xplt/pygist's
mouse command (or ppgplot's pgband?).

Best,

Arnd


P.S.: I agree on the speed issues. Unfortunately
      most of the newer python graphics packages tend to be
      slower than older packages.
      For example scipy.xplt (aka pygist) see
      http://bonsai.ims.u-tokyo.ac.jp/~mdehoon/software/python/index.html
      is reasonably fast.

      We have set up a PlottingCanvas for wxPython
      for our specific needs of fast plotting of single points
      and moving objects,
        http://www.physik.tu-dresden.de/~baecker/python/plot.html
      But this is by far not a fully featured plotting program,
      though maybe some of the ideas used there to speed
      up things could be used in matplotlib
      (note that I state this with complete ignorance
      of matplotlib's interna).

[Matplotlib-users] how to make matplotlib faster?

[Eric E. <ems...@ob...>]

Hi,

I am now trying to switch from ppgplot to matplotlib and I
really like the latter for the much nicer plots and functionalities
(although limitations such as the absence of contour plots is a critical 
one).

However, I just made a small script to plot 10 small subplots
on a single window repeatedly (going through slices of an array each time)
and it is bloody slooooooooow (a very large factor slower than anything
I can use to do the same thing with python and some graphical functions).

I personnally think this is a major limitation (with the contours) of
that piece of soft, and may discourage many (and myself).

Is there a way to improve (dramatically) this? Is there a plan there?

thanks in advance,

Eric Emsellem

P.S.: by the way I solved the cursor problem I posted (and got no answer)
by defining a new cursor class (something already hinted
by many on the web), if anyone is interested..

-- 
===============================================================
Observatoire de Lyon                 ems...@ob...
9 av. Charles-Andre                      tel: +33 4 78 86 83 84
69561 Saint-Genis Laval Cedex            fax: +33 4 78 86 83 86
France               http://www-obs.univ-lyon1.fr/eric.emsellem
===============================================================

Re: [Matplotlib-users] [Possible BUG:] SVG renderer;

[John H. <jdh...@ac...>]

>>>>> "Norm" == Norm Petterson <nj...@nj...> writes:


    Norm> If anyone is interested in my modified backend_svg.py please
    Norm> let me know where to send it.

You can send it to me directly offlist and I'll merge it into the main
tree.  Just make sure to put matplotlib in the subject header to get
past my spam filter...

Thanks!
JDH

Re: [Matplotlib-users] [Possible BUG:] SVG renderer;

[Norm P. <nj...@nj...>]

Hello,

I've just encountered the same situation with SVG rendering where I =
repeatedly generate a changed SVG plot and only the first time does it =
render properly. I traced the problem to the SVG renderer failing to =
include "ClipPath" information in generated SVG files after the first =
one, and fixed it in my case by changing backend_svg.RendererSVG to deal =
with _clipd as self._clipd in both its __init__ method (i.e., =
initialized to {}) and its _get_gc_clip_svg method (i.e., _clipd  =
changed to self._clipd). Just before RendererSVG is defined, _clipd is =
declared as a module-scope entity, and this is the problem, so comment =
it out...

If anyone is interested in my modified backend_svg.py please let me know =
where to send it.

Regards,

Norm Petterson

  ----- Original Message -----=20
  From: Haibao Tang=20
  To: mat...@li...=20
  Sent: Monday, December 06, 2004 4:55 PM
  Subject: [Matplotlib-users] [Possible BUG:] SVG renderer;


  Hi, I've run into a problem using matplotlib renderer to generate =
files. My example is huge, so I implement it in another way to give the =
idea.
  - o - o - o - o - o - o - o - o - o - o - o - o - o - o=20
  from matplotlib.matlab import *

  def draw_box(i):
      root =3D axes([0,0,1,1])
      root.bar(.2,.5,.5,.2)
      root.text(.2, .1, "Give me a box %02i"%i)
      xlim(0,1)
      ylim(0,1)
      savefig("c:\\svg\\%02i.svg"%i)

  for i in xrange(1,10):
      clf()
      draw_box(i)
  - o - o - o - o - o - o - o - o - o - o - o - o - o - o=20

  The resulting files are generated, yet except the first one, all the =
rest miss the bar();
  BUT, if I change the format to .png, no problem exists.

  Is it a bug? or am I doing it right?
  Much appreciated if you can point the problem out.

  Bao

[Matplotlib-users] [Possible BUG:] SVG renderer;

[Haibao T. <ba...@ug...>]

Hi, I've run into a problem using matplotlib renderer to generate files. =
My example is huge, so I implement it in another way to give the idea.
- o - o - o - o - o - o - o - o - o - o - o - o - o - o=20
from matplotlib.matlab import *

def draw_box(i):
    root =3D axes([0,0,1,1])
    root.bar(.2,.5,.5,.2)
    root.text(.2, .1, "Give me a box %02i"%i)
    xlim(0,1)
    ylim(0,1)
    savefig("c:\\svg\\%02i.svg"%i)

for i in xrange(1,10):
    clf()
    draw_box(i)
- o - o - o - o - o - o - o - o - o - o - o - o - o - o=20

The resulting files are generated, yet except the first one, all the =
rest miss the bar();
BUT, if I change the format to .png, no problem exists.

Is it a bug? or am I doing it right?
Much appreciated if you can point the problem out.

Bao

Re: [Matplotlib-users] Axes.set_xlabel

[John H. <jdh...@ac...>]

>>>>> "Niklas" == Niklas Volbers <Mit...@we...> writes:

    Niklas> Hello, I am using the class interface to mpl and I was
    Niklas> wondering if it is an intended behaviour, that you cannot
    Niklas> set the label to 'None'.  Using:

    Niklas> Axes.set_xlabel(None)

Axes.set_xlabel('')

JDH

[Matplotlib-users] Axes.set_xlabel

[Niklas V. <Mit...@we...>]

Hello,

I am using the class interface to mpl and I was wondering if it is an intended behaviour, that you cannot set the label to 'None'.  Using:

Axes.set_xlabel(None)

will cause errors that result in the plots not being displayed.

Of course I can check for None myself, but I was wondering how I then will be able to turn off the axes labels once they are set.

Regards,

Niklas Volbers.

__________________________________________________________
Mit WEB.DE FreePhone mit hoechster Qualitaet ab 0 Ct./Min.
weltweit telefonieren! http://freephone.web.de/?mc=021201

Re: [Matplotlib-users] installing matplotlib

[Nadezhda D. <den...@st...>]

Hi Reik,

FT_KERNING_DEFAULT is defined in freetype2/freetype/freetype=
.h.
If it's not there, you need to upgrade freetype2.

Nadia Dencheva=


---- Original message ----
>Date: Sun, 5 Dec 2004 16:51:48 +0100
>=
From: "Reik H. B=F6rger" <rei...@gm...>  =

>Subject: [Matplotlib-users] installing matplotlib  =

>To: mat...@li...
>
>Hi,
>
>once again I t=
ry to install matplotlib on a new install of
MacOSX 10.3. =

>I think, I got all the required dependencies and when I start
the =

>installation of matplotlib via
>python setup.py build
>it starts work=
ing, but after some steps it terminates with:
>
>src/ft2font.cpp: In m=
ember function 'void
FT2Font::load_glyphs()':
>src/ft2font.cpp:376: er=
ror: 'FT_KERNING_DEFAULT' undeclared
(first use =

>this function)
>src/ft2font.cpp:376: error: (Each undeclared identifie=
r is
reported =

>only once for each funtion it appears in.)
>error: command 'gcc' faile=
d with exit status 1
>
>What went wrong? Any suggestions? I am lost...=
 :-(
>
>Thanks
>Reik
>
>
>
>-------------------------------------=
------------------
>SF email is sponsored by - The IT Product Guide
>R=
ead honest & candid reviews on hundreds of IT Products from
real users.=

>Discover which products truly live up to the hype. Start
reading now=
. =

>http://productguide.itmanagersjournal.com/
>__________________________=
_____________________
>Matplotlib-users mailing list
>Matplotlib-users=
@lists.sourceforge.net
>https://lists.sourceforge.net/lists/listinfo/ma=
tplotlib-users

[Matplotlib-users] installing matplotlib

[<rei...@gm...>]

Hi,

once again I try to install matplotlib on a new install of MacOSX 10.3. 
I think, I got all the required dependencies and when I start the 
installation of matplotlib via
python setup.py build
it starts working, but after some steps it terminates with:

src/ft2font.cpp: In member function 'void FT2Font::load_glyphs()':
src/ft2font.cpp:376: error: 'FT_KERNING_DEFAULT' undeclared (first use 
this function)
src/ft2font.cpp:376: error: (Each undeclared identifier is reported 
only once for each funtion it appears in.)
error: command 'gcc' failed with exit status 1

What went wrong? Any suggestions? I am lost... :-(

Thanks
Reik

Re: [Matplotlib-users] Display zero-axis?

[Norbert N. <No...@ne...>]

Just found axvline/axhline which serves for my purpose at the moment. The 
tick-marks would not have been more than a special treat anyway...


Am Samstag, 4. Dezember 2004 18:30 schrieb Norbert Nemec:
> Hi there,
>
> checking the documentation, I could not find any information about
> displaying the zero-axis, possibly even moving the tick-marks and lables
> from the edge of the plotting area to the zero-axis (as it is often done in
> mathematics)
>
> Is there any specific support for this that I did not notice? Has anybody
> already spent thought on the subject?
>
> The simplest solution would probably be to (ab-)use the gridline mechanism
> or extend it with a third option ("minor","major" and "zero"). Anyhow,
> sometimes, one would want both displayed: the zeroaxis in black and some
> gridlines in faint gray. Furthermore, this simple solution is not
> extendable to putting the ticks on the zeroaxis.
>
> Any ideas?
>
> Ciao,
> Nobbi

-- 
_________________________________________Norbert Nemec
         Bernhardstr. 2 ... D-93053 Regensburg
     Tel: 0941 - 2009638 ... Mobil: 0179 - 7475199
           eMail: <No...@Ne...>

[Matplotlib-users] Display zero-axis?

[Norbert N. <No...@ne...>]

Hi there,

checking the documentation, I could not find any information about displaying 
the zero-axis, possibly even moving the tick-marks and lables from the edge 
of the plotting area to the zero-axis (as it is often done in mathematics)

Is there any specific support for this that I did not notice? Has anybody 
already spent thought on the subject?

The simplest solution would probably be to (ab-)use the gridline mechanism or 
extend it with a third option ("minor","major" and "zero"). Anyhow, 
sometimes, one would want both displayed: the zeroaxis in black and some 
gridlines in faint gray. Furthermore, this simple solution is not extendable 
to putting the ticks on the zeroaxis.

Any ideas?

Ciao,
Nobbi

-- 
_________________________________________Norbert Nemec
         Bernhardstr. 2 ... D-93053 Regensburg
     Tel: 0941 - 2009638 ... Mobil: 0179 - 7475199
           eMail: <No...@Ne...>

[Matplotlib-users] colorbar() not working with scatter

[Arnold M. <arn...@wu...>]

Dear all,

At the moment I'm heavily using the scatter plot (great!). But if I want =
to add
a color bar (with the command colorbar(), directly following the call to
scatter) to explain the meaning of the colors of the patches, matplotlib =
(0.64)
refuses to make a colorbar with the following message:

First define a mappable image (eg imshow, figimage, pcolor, scatter

I checked how colorbar knows that the plot under consideration is a 'mapp=
able
image': it calls gci() . And indeed, if I do that by hand, after a plot w=
ith
scatter, I get the message that there is no mappable image.
According to the doc's and the error message above, the patches plotted b=
y
scatter should count as a mappable image, but apparently, they don't.

Is this a bug or a misunderstanding on my side?

Regards,
Arnold

PS: at the moment I'm using a workaround, by making my own colorbar comma=
nd:
just stealing the code from the original routine, but without getting the
colors and number ranges from the image itself (I have to define those by
hand).

[Matplotlib-users] Re: Feature request : Comparison of sparse matrices is not implemented. (Nils Wagner)

[Dominique O. <Dom...@po...>]

> Date: Thu, 02 Dec 2004 10:04:20 +0100
> From: Nils Wagner <nw...@me...>
> To: SciPy Developers List <sci...@sc...>
> Cc: mat...@li...
> Subject: [Matplotlib-users] Feature request : Comparison of sparse matrices is not implemented.
> 
> Hi all,
>  
> I tried to visualize the structure of large and sparse matrices using
> 
> from matplotlib.colors import LinearSegmentedColormap
> from matplotlib.matlab import *
> from scipy import *
> import IPython
> 
> def spy2(Z):
>     """
>     SPY(Z) plots the sparsity pattern of the matrix S as an image
>     """
> 
>     #binary colormap min white, max black
>     cmapdata = {
>          'red'  :  ((0., 1., 1.), (1., 0., 0.)),
>          'green':  ((0., 1., 1.), (1., 0., 0.)),
>          'blue' :  ((0., 1., 1.), (1., 0., 0.))
>          }
>     binary =  LinearSegmentedColormap('binary',  cmapdata, 2)
> 
>     Z = where(Z>0,1.,0.)
>     imshow(transpose(Z), interpolation='nearest', cmap=binary)
> 
> rows, cols, entries, rep, field, symm = io.mminfo('k0.mtx')
> print 'number of rows, cols and entries', rows, cols, entries
> print 'Start reading matrix - this may take a minute'
> ma = io.mmread('k0.mtx')
> print 'Finished'
> flag = 1
> if flag == 1:
>  spy2(ma)
>  show()
> 
> It failed. Is it somehow possible to visualize sparse matrices ?
> Any suggestion would be appreciated.

To plot sparsity patterns, I read matrices in MatrixMarket format using 
the PySparse package. Once I have arrays with row and column indices, I 
simply use scatter() with arguments to modify the size of the 'bubbles' 
and their color (and alpha) depending on the magnitude on the nonzero 
element. The result is great. Of course when matrices are symmetric, you 
only hold the lower (or upper) triangular part, then tell scatter() to 
plot the other triangle.

Dominique

[Matplotlib-users] [Fwd: Re: [SciPy-dev] Feature request : Comparison of sparse matrices is not implemented.]

[Nils W. <nw...@me...>]

Hi all,

Can someone help me with imshow() for sparse matrices ?

Nils

 

Re: [Matplotlib-users] startup error

[matthew a. <ma...@ca...>]

This was fixed in CVS. See the message to this list from Steve Chaplin 
dated approx Nov 9 2004.

m.

Chris Barker wrote:
> HI all,
> 
> When I do:
> 
> from matplotlib.matlab import *
> 
> I get the following warning message:
> 
> Could not load matplotlib icon: Couldn't recognize the image file format 
> for file '/usr/share/matplotlib/matplotlib.svg'
> 
> This is really just a minor annoyance, but it's been doing this for the 
> last couple of releases. Anyone know why? why is it trying to load an svg?
> 
> Gentoo Linux Python 2.3.3, matplotlib 0.64, pygtk2.0 (I think)
> 
> -Chris
> 
> 
> 
> 

AW: [Matplotlib-users] Installing matplotlib with python 2.4

[Transier, F. <fre...@sa...>]

Thank you for your help. The matplotlib is now installed properly on my =
win xp computer.
I think using mingw instead of msvc was the key. That's the way it =
worked on my machine:

1.) Download and install all the required things as descibed in the =
win32_static/README but use the newest versions and for the GTK stuff =
goto =
<http://prdownloads.sourceforge.net/gladewin32/gtk-win32-devel-2.4-rc23.e=
xe?download>.
There is no need to change the "cygwinccompiler.py" but I had to adjust =
the "profile24.bat" and the "importlib24.bat".

2.) Add the following code to line 234 in the setupext.py:

        if major=3D=3D2 and minor1=3D=3D4:
            print '\tBuilding for python24'
            module.include_dirs.extend(['win32_static/include/tcl84'])
            module.library_dirs.extend(['C:/Python24/dlls'])       =20
            module.libraries.extend(['tk84', 'tcl84'])       =20
        el

3.) python setup.py build --compiler=3Dmingw32 bdist_wininst

Regards,
Frederik


-----Urspr=FCngliche Nachricht-----
Von: John Hunter [mailto:jdh...@ni...]=20
Gesendet: Freitag, 26. November 2004 17:59
An: Transier, Frederik
Cc: 'mat...@li...'
Betreff: Re: [Matplotlib-users] Installing matplotlib with python 2.4


>>>>> "Transier," =3D=3D Transier, Frederik <fre...@sa...> =
writes:

    Frederik> Hello, while I was trying to build the matplotlib 0.64
    Frederik> with python 2.4 on my win xp machine

    Frederik> a lot of errors occurred. Has anyone managed to install
    Frederik> it under these conditions?

    Frederik> Or is there any location I can download the binaries
    Frederik> for python 2.4 and win xp?

    Frederik> Any help would be appreciated.

Building on windows is a pain.  I'll try to include a python2.4rc1
installer with the next release, possibly next week.  If you need
something sooner, you'll have to post some more information to the
list.  Have you read the instructions for building win32 in
setupext.py, and downloaded the win32_static file from the matplotlib
web site that is pointed to in setupext?

JDH
=20