matplotlib-users Mailing List for matplotlib

Hello,

I was wondering if there were any tips for people like myself that generate
plot images to be rendered for CGI scripts. I'd like to offer some of the
things I have learned on the subject thus far:

Changed .matplotlibrc's backend parameter to Agg. This seems to yield the best
quality output results. This way, I can compile without Tk and GTK support. I
did not find any way to easily call distutils with arguments to disable these
things, so I had to comment out the setup.py script after I patched it with
the FreeBSD port patches. This is on a box without a monitor, so I won't be
doing any interactive graphing anytime soon. :)

After realizing on my slower box (Pentium2 400MHz) that:

import pylab

takes a while. I just assumed most people don't restart matplotlib's runtime
initialization for every graph they produce, but rather, for interactive
graphing. This is pure guess, however.

Also, I'd like to know if using pylab directly is a bad idea for
non-interactive graphing. It seems to work okay but I've read through some
past mail on this list that importing matplotlib is better than pylab if
doing interface design(?) I also read that pylab tries to do more for setting
up the environment for interactive graphing, so maybe I don't need this.

I've done some profiling on the import using Python's profile
module and later found the hotshot module to help quite a bit with accuracy.
I'll try to post some of my speedups once I make sure they aren't pure hacks.
Some of it was the mathtext regexp work, but a surprising amount of time
was spent in a docstring magic/generation function!

I switched to using FastCGI to avoid some of the startup cost of matplotlib
on my slower server box. FastCGI is a way to speed up CGI programs, as the
name may imply. :) Unfortunately, stdout with FastCGI is wrapped in a special
little request object that isn't a true file object. I had to use the tempfile
Python module for matplotlib to write its output to. I had tracked down where
matplotlib did this (it was in some C module) but it's been a while since I
messed with it.

A final issue I ran into was permissions in a Web server environment. I run
the CGI application through FastCGI under a restricted user because it doesn't
need much permission to do anything else. Unfortunately, I noticed I have to
do some magic at runtime of my script to set my HOME path so that the
matplotlib font manager will write its ttfcache file to a place that the
CGI script can write to. It's not a big deal, but I did have to look through
the font manager source to figure out why it was raising an exception.

I hope this information helps others who want to produce great graphical
output using matplotlib that is targetted for the Web. I had to figure it out
for myself by searching and testing quite a bit.

My apologies for the long email. It's my first post that I tried to offer
suggestions to others instead of being a read-only list subscriber. :)


Thanks,

Brian

Hi Jeff,

yes, I did (fink-0.23.9.tar.gz install, ./bootstrap.sh etc. all went  
well and I was able to re-install emacs which had also broken with  
the 10.4 upgrade.)
I shall await 10.4 upgrades.

In the interim,

http://pythonmac.org/packages/matplotlib-0.72.1-py2.3-macosx10.3.zip
http://pythonmac.org/packages/numarray-1.1.1-py2.3-macosx10.3.zip
http://pythonmac.org/packages/TigerPython23Compat.pkg.zip (fixes up  
site-packages location)

have allowed me to get pylab imported, now I just need to get a  
backend compiled (gtk is my preferred backend).

thanks,

Graeme

On 18/05/2005, at 12:06 AM, Jeff Whitaker wrote:

> Graeme O'Keefe wrote:
>
>
>> I have just upgraded to OS X 10.4 on two machines. On one  
>> machine,  pylab worked fine, on my notebook it hangs. I have begun  
>> trying to  rebuild my fink tree but bomb at glib 2.6.2 / gtk+,  
>> pango-1.8.0 using  fink as well as standalone installs for old  
>> items (pango is at 1.6 on  fink, need 1.8 for gtk+2.6.0).
>>
>> As an aside, numarray install bombed with gcc4.0 so I had to  
>> revert  to gcc3.3.
>>
>> Anyone else had problems with OS X 10.4 and pylab?
>>
>> regards,
>>
>> Graeme
>>
>>
>>
>>
>>
> Graeme:  Did you follow the instructions for upgrading fink for  
> 10.4 on the fink home page?  It's a tricky upgrade - many (if not  
> all) packages need to rebuilt.  Many packages are not yet working,  
> since many developers (like me) don't yet have 10.4.
>
> -Jeff
>
>
> -- 
> Jeffrey S. Whitaker         Phone : (303)497-6313
> NOAA/OAR/CDC  R/CDC1        FAX   : (303)497-6449
> 325 Broadway                Web   : http://www.cdc.noaa.gov/~jsw
> Boulder, CO, USA 80305-3328 Office: Skaggs Research Cntr 1D-124
>
>

>>>>> "Derrick" == Derrick Snowden <Der...@no...> writes:

    Derrick> When I plot the data with missing values (say the mask is
    Derrick> 1.0e20) it obviously screws up the range of the y limits.
    Derrick> I've seen other packages which understand a missing_value
    Derrick> attribute or a fill_value attribute and leave that
    Derrick> section of the curve blank.  I was hoping for a behavior
    Derrick> similar to Matlab, when the data vector contains NaNs.  I
    Derrick> see some mention of this in the matplotlib-devel list
    Derrick> (J. Whitaker's patch for pcolor) and I see a keyword
    Derrick> argument for contourf that seems to address this
    Derrick> situation.  Is there anything for line plots?

Eric Firing contributes a patch for masked array support for line
plots which is in CVS.  I haven't tried this with date plots but there
is every reason to believe it will "just work"

See examples/masked_demo.py in CVS.

Let me know!

JDH

OK, I've passed the glitches with the dates and am on to plotting a time 
series of data using plot_date.  My data are currently represented as a 
masked array and there are missing values.  I vaguely remember seeing 
something about this while I was reading but I can't for the life of me 
find it and the search facility on the sourceforge mailing list site is 
down.

When I plot the data with missing values (say the mask is 1.0e20) it 
obviously screws up the range of the y limits.  I've seen other packages 
which understand a missing_value attribute or a fill_value attribute and 
leave that section of the curve blank.  I was hoping for a behavior 
similar to Matlab, when the data vector contains NaNs.  I see some 
mention of this in the matplotlib-devel list (J. Whitaker's patch for 
pcolor) and I see a keyword argument for contourf that seems to address 
this situation.  Is there anything for line plots?

Thanks again,
Derrick

Am Dienstag, 17. Mai 2005 19:43 schrieb John Hunter:
> >>>>> "Florian" == Florian Lindner <mai...@xg...> writes:
>
>     Florian> Hello, how does loc=0 (best) affects the placement of the
>     Florian> legend? I can't really figure out any influence. There is
>     Florian> space (on the upper left) where the legend could be
>     Florian> placed without hiding any lines but it's still placed on
>     Florian> the upper right.
>
> If what you say is correct, then it is a bug.  Please post a complete
> example.

It is correct.

But the John Gill gave me a explanation of this behavior which is correct for 
my case. It is not a bug, just a lazy implementation of the feature and he is 
aware of that.

Florian

This might be a feature rather than a bug.

The legend auto-placement code is a bit lazy -- due to the fact that I 
wrote it rather than JDH :)

Anyway, it only tries to avoid the points that define a line, rather 
than the lines themselves.

Much of the time that works well, but since it only takes two points to 
define a line you can end up with the lines crossing the legend.   The 
good news is that if a line does cross the legend, and you can see a 
better position for the legend then it almost surely means that the line 
is straight throughout the region where it crosses the legend.

Try using the pan/zoom buttons on your plot to move a point into the 
legend area and it should jump out of the way.

Eg: try this little snippet -- use your pan/zoom skills to position one 
of the dots over the legend ;)

from pylab import *
plot(range(5), 'o-', label='oops')
legend(loc=0)
show()

John

John Hunter wrote:

> >>>>> "Florian" == Florian Lindner <mai...@xg...> writes:
>
>     Florian> Hello, how does loc=0 (best) affects the placement of the
>     Florian> legend? I can't really figure out any influence. There is
>     Florian> space (on the upper left) where the legend could be
>     Florian> placed without hiding any lines but it's still placed on
>     Florian> the upper right.
>
> If what you say is correct, then it is a bug.  Please post a complete
> example.
>
> JDH
>
>
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Derrick Snowden wrote:

> You're probably right about this, months are ambiguously defined.  But, 
> I'm even more confused now about the documentation that you found.  I'm 
> hoping this is  a version issue but I couldn't find a function 
> definition like that.  I tried using pydoc and pdoc, pdef, pinfo etc in 
> ipython on a linux machine as well as a Windows machine.  The only thing 
> I can come up with is the following
> 
> 
> class timedelta(__builtin__.object)
>      	Difference between two datetime values.
> 
> Where am I going wrong?

I ran into the same problem, the docstring-based docs for that module are 
really crappy (and that's all ipython can find).  So I reverted to the module 
listing in the HTML python docs to read the full docs for the datetime module. 
  Here's the online version (what I pasted was from the local copy for my 
version, 2.3.4):

http://docs.python.org/lib/module-datetime.html

HTH,

f

Fernando Perez wrote:
> Derrick Snowden wrote:
> 
>> Finally, I find the documentation for datetime.timedelta to be pretty 
>> sparse.  I was trying to construct a datetime sequence using 
>> matplotlib.dates.drange which had a monthly timestep.
>>
>> delta = datetime.timedelta(months=1) didn't seem to work.  I tried a 
>> few variations on this to no avail.
> 
> 
> Well, the docs for timedelta give this constructor:
> 
> ============================================
> class timedelta(days=0, seconds=0, microseconds=0, milliseconds=0, 
> minutes=0, hours=0, weeks=0)
> 
>     All arguments are optional. Arguments may be ints, longs, or floats, 
> and may be positive or negative.
> ============================================
> 
> I'd guess that the reason why you don't see years nor months in there is 
> because those can't be uniquely defined in terms of fundamental time 
> units (for the sake of simplicity, in multiples or submultiples of 
> seconds).
You're probably right about this, months are ambiguously defined.  But, 
I'm even more confused now about the documentation that you found.  I'm 
hoping this is  a version issue but I couldn't find a function 
definition like that.  I tried using pydoc and pdoc, pdef, pinfo etc in 
ipython on a linux machine as well as a Windows machine.  The only thing 
I can come up with is the following


class timedelta(__builtin__.object)
     	Difference between two datetime values.

Where am I going wrong?

> 
> I'm not an expert on handling time-based data, so this is just a common 
> sense guess.
> 
> Best,
> 
> f

Derrick Snowden wrote:

> Finally, I find the documentation for datetime.timedelta to be pretty 
> sparse.  I was trying to construct a datetime sequence using 
> matplotlib.dates.drange which had a monthly timestep.
> 
> delta = datetime.timedelta(months=1) didn't seem to work.  I tried a few 
> variations on this to no avail.

Well, the docs for timedelta give this constructor:

============================================
class timedelta(days=0, seconds=0, microseconds=0, milliseconds=0, minutes=0, 
hours=0, weeks=0)

     All arguments are optional. Arguments may be ints, longs, or floats, and 
may be positive or negative.
============================================

I'd guess that the reason why you don't see years nor months in there is 
because those can't be uniquely defined in terms of fundamental time units 
(for the sake of simplicity, in multiples or submultiples of seconds).

I'm not an expert on handling time-based data, so this is just a common sense 
guess.

Best,

f

Hi all,

I'm new to matplotlib and trying to adapt some of the examples to my own 
data.  Most of the time I read data from a netcdf file using the 
Scientific.IO.NetCDF module.  When I read a time variable it usually has 
a units attribute that looks something like

"days since 1900-01-01 00:00:00 -5".

The units of measurement (here it was days) can be hours, seconds, 
weeks, whatever.  Most of the examples in the mpl examples directory 
that deal with dates, start with the time information already parsed 
into year, month, day etc and then they create a datetime instance.  Any 
pointers on parsing a serial date like the one I have into year, month, 
day in a somewhat general way?  I currently use a package (cdat) which 
doesn't compile on Windows yet and I need a windows and unix solution.

Finally, I find the documentation for datetime.timedelta to be pretty 
sparse.  I was trying to construct a datetime sequence using 
matplotlib.dates.drange which had a monthly timestep.

delta = datetime.timedelta(months=1) didn't seem to work.  I tried a few 
variations on this to no avail.

Thanks for any suggestions.
Derrick

Keith Goodman wrote:
> Your screenshots---WOW!
> 
> I installed matplotlib 0.80 (from source). Now the screenshots are on
> my computer. But I can't interact with them. As soon as I enter show()
> the plot appears in both python and ipython and then the prompt
> disappears. If I type, for example, xlabel('Year') and ylabel('Number
> of geeky science fiction desktop backgrounds') nothing happens. (I can
> use the GUI controls on the plot.)
> 
> Eventually I enter control-c in ipython and get
> 
> $ python2.3-ipython

You should use 'ipython -pylab' instead, so that ipython can coordinate the 
gui and python threads for you.

Cheers,

f

>>>>> "Keith" == Keith Goodman <kwg...@gm...> writes:


    Keith> Your screenshots---WOW!  I installed matplotlib 0.80 (from

Thanks!

    Keith> source). Now the screenshots are on my computer. But I
    Keith> can't interact with them. As soon as I enter show() the
    Keith> plot appears in both python and ipython and then the prompt
    Keith> disappears. If I type, for example, xlabel('Year') and
    Keith> ylabel('Number of geeky science fiction desktop
    Keith> backgrounds') nothing happens. (I can use the GUI controls
    Keith> on the plot.)

    Keith> Eventually I enter control-c in ipython and get

Run ipython in pylab mode 

 > ipython -pylab

You then do not need to import pylab (ipython does this for you) and
you do not, indeed must not, use show.

See 

  http://matplotlib.sourceforge.net/interactive.html

and

  http://matplotlib.sourceforge.net/faq.html#SHOW

Have fun...

JDH

Your screenshots---WOW!

I installed matplotlib 0.80 (from source). Now the screenshots are on
my computer. But I can't interact with them. As soon as I enter show()
the plot appears in both python and ipython and then the prompt
disappears. If I type, for example, xlabel('Year') and ylabel('Number
of geeky science fiction desktop backgrounds') nothing happens. (I can
use the GUI controls on the plot.)

Eventually I enter control-c in ipython and get

$ python2.3-ipython
Python 2.3.5 (#2, May  4 2005, 08:51:39)
Type "copyright", "credits" or "license" for more information.

IPython 0.6.13 -- An enhanced Interactive Python.
?       -> Introduction to IPython's features.
%magic  -> Information about IPython's 'magic' % functions.
help    -> Python's own help system.
object? -> Details about 'object'. ?object also works, ?? prints more.

In [1]: from pylab import *

In [2]: plot([1,2,3,4])
Out[2]: [<matplotlib.lines.Line2D instance at 0x405cfe6c>]

In [3]: show()
xlabel('Year')
ylabel('Number of geeky science fiction desktop backgrounds')
---------------------------------------------------------------------------
exceptions.KeyboardInterrupt                         Traceback (most
recent call last)

/home/me/<console>

/usr/lib/python2.3/site-packages/matplotlib/backends/backend_gtk.py in
show(mainloop)
     85
     86     if mainloop and gtk.main_level() =3D=3D 0:
---> 87         gtk.main()
     88
     89

KeyboardInterrupt:

In [4]:

>>>>> "Florian" == Florian Lindner <mai...@xg...> writes:

    Florian> Hello, how does loc=0 (best) affects the placement of the
    Florian> legend? I can't really figure out any influence. There is
    Florian> space (on the upper left) where the legend could be
    Florian> placed without hiding any lines but it's still placed on
    Florian> the upper right.

If what you say is correct, then it is a bug.  Please post a complete
example.

JDH

Hello,
how does loc=0 (best) affects the placement of the legend? I can't really 
figure out any influence. There is space (on the upper left) where the legend 
could be placed without hiding any lines but it's still placed on the upper 
right.

Thanks,

Florian

On May 17, 2005, at 11:50 AM, John Hunter wrote:

>>>>>> "Perry" == Perry Greenfield <pe...@st...> writes:
>
>     Perry> Yes, indeed.
>
> I know you don't want to get into the business of porting numarray
> functionality back to Numeric :-) but do you know of an easy way to
> generalize this to N dimensions for Numeric.  I took a brief look at
> how numarray did it, and it relies on choose under the hood, but it
> didn't look like it would be straightforward to port to Numeric.
>
> An Nd "find" would be useful in mpl, at least until the whole array
> object scenario stabilizes.
>
> JDH

numarray does it at a low level which wouldn't be easy to duplicate in 
Numeric. But I don't think it is that hard to do in Python so long as 
you don't mind using ravel() and generating an intermediate index 
array. Something like (not checked or tested, surely there's a mistake 
in it somewhere)?

def find(condition):
     ind = nonzero(ravel(condition))
     cshape = multiply.accumulate(condition.shape)[-1:0:-1]
     indices = [] # probably better done as a list comprehension but I'm 
too lazy to look it up
     for size in cshape: indices.append(ind//size)
     indices.append(ind % condition.shape[-1]
     return tuple(indices)


But I may be missing a complication.

Perry

>>>>> "Nicolas" == Nicolas Gruel <hu...@ya...> writes:

    Nicolas> I disagree with you on it John the example I show you was
    Nicolas> with a small vector but I did this with some spectra with
    Nicolas> thousands points and more than one spectra in the same
    Nicolas> plot. Even if I want only a plot with 10% of all the
    Nicolas> spectrum (I want to study a specific wavelength region
    Nicolas> for example) I have all (100%) the spectra in the file
    Nicolas> and that can means a lot of point completely not
    Nicolas> revlevant for this specific plot. That can increase a lot
    Nicolas> the size of the file. I did the test and when I cut
    Nicolas> myself by hand the specific range I want to plot the size
    Nicolas> of the eps or svg file decrease by a huge amount (totally
    Nicolas> dependant of the spectra)
 
OK, I understand.  This is the problem of data clipping we have
discussed on this list before.  Would you mind filing a support
request for this on the sf site?

  http://sourceforge.net/tracker/?group_id=80706&atid=560721

JDH

>>>>> "Perry" == Perry Greenfield <pe...@st...> writes:

    Perry> Yes, indeed.

I know you don't want to get into the business of porting numarray
functionality back to Numeric :-) but do you know of an easy way to
generalize this to N dimensions for Numeric.  I took a brief look at
how numarray did it, and it relies on choose under the hood, but it
didn't look like it would be straightforward to port to Numeric.

An Nd "find" would be useful in mpl, at least until the whole array
object scenario stabilizes.

JDH

On May 17, 2005, at 11:30 AM, John Hunter wrote:

>>>>>> "Perry" == Perry Greenfield <pe...@st...> writes:
>
>     Perry> It's simpler in numarray:
>
>     Perry> i,j = where(z<0.5)
>
>     Perry> For numeric it's more work:
>
>     Perry> ind = where(z.flat < 0.5) i = ind//z.shape[1] j = ind %
>     Perry> z.shape[1]
>
>     Perry> One could turn this into a function for Numeric (to handle
>     Perry> all dimensionalities, etc)
>
> I think you meant to use "nonzero" rather than "where" for Numeric...

Yes, indeed.

>>>>> "Perry" == Perry Greenfield <pe...@st...> writes:

    Perry> It's simpler in numarray:

    Perry> i,j = where(z<0.5)

    Perry> For numeric it's more work:

    Perry> ind = where(z.flat < 0.5) i = ind//z.shape[1] j = ind %
    Perry> z.shape[1]

    Perry> One could turn this into a function for Numeric (to handle
    Perry> all dimensionalities, etc)

I think you meant to use "nonzero" rather than "where" for Numeric...

    from matplotlib.numerix import where, nonzero
    from matplotlib.numerix.mlab import rand

    z = rand(4,5)

    # It's simpler in numarray:
    i,j = where(z<0.5)
    print i,j


    # For numeric it's more work:
    ind = nonzero(z.flat < 0.5)
    i = ind//z.shape[1]
    j = ind % z.shape[1]
    print i,j

I also think wrapping this functionality into the find function in mpl
is a good idea...  I frequently miss it.

JDH

It's simpler in numarray:

i,j =3D where(z<0.5)

For numeric it's more work:

ind =3D where(z.flat < 0.5)
i =3D ind//z.shape[1]
j =3D ind % z.shape[1]

One could turn this into a function for Numeric (to handle all=20
dimensionalities, etc)
On May 17, 2005, at 10:04 AM, Dimitri D'Or wrote:

> Hello,
>
> =A0
>
> Here under a question that has probably already been asked:
>
> =A0
>
> I would like to apply the find() function on a bidimensional array and=20=

> receive as output the bidimensional indices for the elements matching=20=

> the condition. This is easy in Matlab but doesn't seem to be possible=20=

> with Python.
>
>  =A0
>
> Here is a short example (in Matlab code) of what I would like to have:
>
> =A0
>
> >> z=3Drand(3,3)
>
> =A0
>
> z =3D
>
> =A0
>
> =A0=A0=A0 0.9501=A0=A0=A0 0.4860=A0=A0=A0 0.4565
>
> =A0=A0=A0 0.2311=A0=A0=A0 0.8913=A0=A0=A0 0.0185
>
> =A0=A0=A0 0.6068=A0=A0=A0 0.7621=A0=A0=A0 0.8214
>
> =A0
>
> >> [i,j]=3Dfind(z<0.5)
>
> =A0
>
> i =3D
>
> =A0
>
> =A0=A0=A0=A0 2
>
> =A0=A0=A0=A0 1
>
> =A0=A0=A0=A0 1
>
> =A0=A0=A0=A0 2
>
> =A0
>
> =A0
>
> j =3D
>
> =A0
>
> =A0=A0=A0=A0 1
>
> =A0=A0=A0=A0 2
>
> =A0=A0=A0=A0 3
>
> =A0=A0=A0=A0 3
>
> =A0
>
> A solution for me?
>
> =A0
>
> Thank you,
>
> =A0
>
> Dimitri D'Or
>
> =A0

Hello,

 

Here under a question that has probably already been asked:

 

I would like to apply the find() function on a bidimensional array and
receive as output the bidimensional indices for the elements matching the
condition. This is easy in Matlab but doesn't seem to be possible with
Python. 

 

Here is a short example (in Matlab code) of what I would like to have:

 

>> z=rand(3,3)

 

z =

 

    0.9501    0.4860    0.4565

    0.2311    0.8913    0.0185

    0.6068    0.7621    0.8214

 

>> [i,j]=find(z<0.5)

 

i =

 

     2

     1

     1

     2

 

 

j =

 

     1

     2

     3

     3

 

A solution for me?

 

Thank you,

 

Dimitri D'Or

 

I have just upgraded to OS X 10.4 on two machines. On one machine,  
pylab worked fine, on my notebook it hangs. I have begun trying to  
rebuild my fink tree but bomb at glib 2.6.2 / gtk+, pango-1.8.0 using  
fink as well as standalone installs for old items (pango is at 1.6 on  
fink, need 1.8 for gtk+2.6.0).

As an aside, numarray install bombed with gcc4.0 so I had to revert  
to gcc3.3.

Anyone else had problems with OS X 10.4 and pylab?

regards,

Graeme

Hello,

I am getting errors using matplotlib 0.80 from Fink on Mac OS X. This 
used to work (back in February) with a previous version of matplotlib 
(0.71).

In the example below, I have specified 'GTKAgg' as the backend because 
it was suggested that would solve a similar problem for a previous 
poster. However, the backend does not seem to matter. I first noticed 
this problem with the 'PS' backend.

Thanks for any help you can offer.

Aarre Laakso



aarre@ganesha ~ $ python2.3
Python 2.3.5 (#1, Apr  1 2005, 11:21:40)
[GCC 3.3 20030304 (Apple Computer, Inc. build 1640)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
 >>> import matplotlib
 >>> matplotlib.use('GTKAgg')
 >>> from pylab import *

** (:14661): WARNING **: `GtkTextSearchFlags' is not an enum type
 >>> plot([1,2,3])

** (:14661): WARNING **: Cannot open font file for font Verdana 10

** (:14661): WARNING **: Cannot open fallback font, nothing to do

aarre@ganesha ~ $ fink list matplot*
Information about 4872 packages read in 1 seconds.
      matplotlib-py22           0.80-1              Pure python 2D 
plotting library with a Matlab syntax
  i   matplotlib-py23           0.80-1              Pure python 2D 
plotting library with a Matlab syntax
      matplotlib-py24           0.80-1              Pure python 2D 
plotting library with a Matlab syntax

aarre@ganesha ~ $ fink list python23*
Information about 4872 packages read in 2 seconds.
  i   python23                  1:2.3.5-2           Interpreted, 
object-oriented language
      python23-nox              1:2.3.4-3           Interpreted, 
object-oriented language
      python23-nox-shlibs       1:2.3.4-3           Interpreted, 
object-oriented language
  i   python23-shlibs           1:2.3.5-2           Interpreted, 
object-oriented language
  i   python23-socket           1:2.3.5-2           Socket plugin for python
      python23-socket-nox       1:2.3.4-3           Socket plugin for python
      python23-socket-ssl       1:2.3.5-1           Socket plugin for 
python (SSL version)

aarre@ganesha ~ $ which python2.3
/sw/bin/python2.3




-- 

===================================================================
Aarre Laakso                         http://mypage.iu.edu/~alaakso/
Cognitive Development Laboratory         mailto:al...@in...
Indiana University, Bloomington                office: 812-856-0836
1101 East Tenth Street, Psych A104                lab: 812-855-8256
Bloomington, Indiana 47405-7007, USA              fax: 309-276-8745
===================================================================

> The im2.svg file looks fine to me when rendered by
> gqview.  I do see
> the problem you are describing in inkscape.  It is
> because inkscape is
> not respecting the clipping rectangle.  This looks
> very much like an
> inkscape bug and not a matplotlib bug so you should
> file a bug report
> or a support request on the inkscape project, or
> just look for a
> status report on clipping.


oki I will do this.

>     Nicolas> software who can edit vectoriel format.
>  Another problem
>     Nicolas> is the size of this files who are far
> too big. I don't
>     Nicolas> know how to change it. In a bitmap file
> like png file or
>     Nicolas> jpg that doesn't matter because the
> pixel are just
>     Nicolas> overlay but we loose the interest to
> have a vectoriel
>     Nicolas> format. One solution is that the user
> cut himself is plot
>     Nicolas> but it's not the good way (I think).
> 
> I don't think there is a problem with file size for
> SVG (I'm getting
> 12k for the one created by your script).  There is a
> problem with EPS
> because we are embedding the entire truetype font in
> the file.  This
> is a known bug which will be fixed as soon as we can
> so please bear
> with us.  You can set the rc parameter 
> 
> 
> ps.useafm         : True    # use of afm fonts --
> breaks mathtext but results in small files
> 
> To avoid this problem with PS/EPS file size.  

I disagree with you on it John the example I show you
was with a small vector but I did this with some
spectra with thousands points and more than one
spectra in the same plot. Even if I want only a plot
with 10% of all the spectrum (I want to study a
specific wavelength region for example) I have all
(100%) the spectra in the file and that can means a
lot of point completely not revlevant for this
specific plot. That can increase a lot the size of the
file. I did the test and when I cut myself by hand the
specific range I want to plot the size of the eps or
svg file decrease by a huge amount (totally dependant
of the spectra)
 
But anymay thanks to point me the problem with
inkscape, I'll tell them.

N. 


	

	
		
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