matplotlib-users Mailing List for matplotlib

On 7/7/06, Fernando Perez <fpe...@gm...> wrote:
> On 7/7/06, Fernando Perez <fpe...@gm...> wrote:
>
> > Don't worry about me: I'll fix the mpl sources myself, that's easy
> > enough as a workaround.  But you may want to take care of this before
> > the new release is out, which John mentioned this morning as coming
> > soon.
>
> I got it to work by changing in texmanager.py, line 203, from:
>
>             command = 'latex -interaction=nonstopmode -output-directory="%s" \
>                        "%s" > "%s"'%(self.texcache, texfile, outfile)
>
> to:
>
>             command = 'cd "%s" && latex -interaction=nonstopmode "%s"
> > "%s"' % \
>                       (self.texcache,texfile, outfile)
>
> This will work with any version of latex.

But a similar change is also needed for EPS generation.  I've just
attached a full patch, in case you want it.

Cheers,

f

On 7/7/06, Fernando Perez <fpe...@gm...> wrote:

> Don't worry about me: I'll fix the mpl sources myself, that's easy
> enough as a workaround.  But you may want to take care of this before
> the new release is out, which John mentioned this morning as coming
> soon.

I got it to work by changing in texmanager.py, line 203, from:

            command = 'latex -interaction=nonstopmode -output-directory="%s" \
                       "%s" > "%s"'%(self.texcache, texfile, outfile)

to:

            command = 'cd "%s" && latex -interaction=nonstopmode "%s"
> "%s"' % \
                      (self.texcache,texfile, outfile)

This will work with any version of latex.

Cheers,

f

On 7/7/06, Darren Dale <dd...@co...> wrote:
> Hi Fernando,
>
> On Friday 07 July 2006 17:56, Fernando Perez wrote:
> > Hi all,
> >
> > with a current SVN checkout, I'm having serious latex problems (run
> > with debug-annoying):
>
> I'm sorry for the trouble. I tried checking my recent changes on windows and
> Linux, and didnt have any trouble, but I didnt try with an older version of
> latex. It turns out that version 3.14159 does not support the --output-dir
> option. Is updating your tetex an option? I'm using tetex-3.0:

No, not really.  I'm trying to finish some work to free up a day or
two so I can update all of our systems to Ubuntu Dapper, but that
means I can't really burn any time on patching pieces of the system.

But aside from my own troubles, I suspect that if you guys release
0.87.4 with this bug, I won't be the only one complaining :)  There
are probably other systems out there still not using tetex-3.0 (I
think Red Hat enterprise is fairly conservative in its upgrade policy,
and I don't know what Fedora 4 has, though Fedora 5 is likely OK).

Don't worry about me: I'll fix the mpl sources myself, that's easy
enough as a workaround.  But you may want to take care of this before
the new release is out, which John mentioned this morning as coming
soon.

Cheers,

f

Hi Fernando,

On Friday 07 July 2006 17:56, Fernando Perez wrote:
> Hi all,
>
> with a current SVN checkout, I'm having serious latex problems (run
> with debug-annoying):

I'm sorry for the trouble. I tried checking my recent changes on windows and 
Linux, and didnt have any trouble, but I didnt try with an older version of 
latex. It turns out that version 3.14159 does not support the --output-dir 
option. Is updating your tetex an option? I'm using tetex-3.0:

latex --version
pdfeTeX 3.141592-1.30.5-2.2 (Web2C 7.5.5)
kpathsea version 3.5.5
Copyright 2005 Peter Breitenlohner (eTeX)/Han The Thanh (pdfTeX).
Kpathsea is copyright 2005 Karl Berry and Olaf Weber.
There is NO warranty.  Redistribution of this software is
covered by the terms of both the pdfeTeX copyright and
the Lesser GNU General Public License.
For more information about these matters, see the file
named COPYING and the pdfeTeX source.
Primary author of pdfeTeX: Peter Breitenlohner (eTeX)/Han The Thanh (pdfTeX).
Kpathsea written by Karl Berry, Olaf Weber, and others.

> In [5]: plot([1,2,3])
> FigureCanvasAgg.draw
> RendererAgg._get_agg_font
>         findfont failed New Century Schoolbook
>         findfont failed Century Schoolbook L
>         findfont failed Utopia
>         findfont failed ITC Bookman
>         findfont failed Bookman
>         findfont found Bitstream Vera Serif, normal, normal 500, normal,
> 12.0 findfont returning
> /home/fperez/tmp/local/lib/python2.3/site-packages/matplotlib/mpl-data/Vera
>Se.ttf Found dvipng version 1.8
> latex -interaction=nonstopmode
> -output-directory="/home/fperez/.matplotlib/tex.cache"
>       
> "/home/fperez/.matplotlib/tex.cache/7ba2a6d994e57f6ad218b4d10097765e.tex"
>
> > "/home/fperez/.matplotlib/tex.cache/7ba2a6d994e57f6ad218b4d10097765e.outp
> >ut"
>
> latex: unrecognized option
> `-output-directory=/home/fperez/.matplotlib/tex.cache'
> Try `latex --help' for more information.
> ---------------------------------------------------------------------------
> exceptions.RuntimeError                              Traceback (most
> recent call last)
>
> /home/fperez/research/papers/nsform/scripts/<ipython console>
>
> /home/fperez/tmp/local/lib/python2.3/site-packages/matplotlib/pylab.py
> in plot(*args=([1, 2, 3],), **kwargs={})
>    2021     except:
>    2022         hold(b)
> -> 2023         raise
>    2024
>    2025     hold(b)
>
> [... snip ...]
>
>
> /home/fperez/tmp/local/lib/python2.3/site-packages/matplotlib/text.py
> in _get_layout(self=<matplotlib.text.TextWithDash instance>,
> renderer=<matplotlib.backends.backend_agg.RendererAgg instance>)
>     184         heightt += 3  # 3 pixel pad
>     185         for line in lines:
> --> 186             w,h = renderer.get_text_width_height(
>         w = undefined
>         h = undefined
>         renderer.get_text_width_height = <bound method
> RendererAgg.get_text_width_height of
> <matplotlib.backends.backend_agg.RendererAgg instance at 0x4183ac4c>>
>         line = '$0$'
>         self._fontproperties = <matplotlib.font_manager.FontProperties
> instance at 0x418402cc>
>         global ismath = undefined
>         self.is_math_text = <bound method TextWithDash.is_math_text of
> <matplotlib.text.TextWithDash instance at 0x4184030c>>
>     187                 line, self._fontproperties,
> ismath=self.is_math_text()) 188
>
> /home/fperez/tmp/local/lib/python2.3/site-packages/matplotlib/backends/back
>end_agg.py in
> get_text_width_height(self=<matplotlib.backends.backend_agg.RendererAgg
> instance>, s='$0$', prop=<matplotlib.font_manager.FontProperties
> instance>, ismath='TeX', rgb=(0, 0, 0))
>     237             size = prop.get_size_in_points()
>     238             texmanager = self.get_texmanager()
> --> 239             Z = texmanager.get_rgba(s, size, self.dpi.get(), rgb)
>         Z = undefined
>         texmanager.get_rgba = <bound method TexManager.get_rgba of
> <matplotlib.texmanager.TexManager instance at 0x41bebd2c>>
>         s = '$0$'
>         size = 12.0
>         self.dpi.get = <built-in method get of tuple object at 0x41736dcc>
>         rgb = (0, 0, 0)
>     240             m,n,tmp = Z.shape
>     241             return n,m
>
> /home/fperez/tmp/local/lib/python2.3/site-packages/matplotlib/texmanager.py
> in get_rgba(self=<matplotlib.texmanager.TexManager instance>,
> tex='$0$', fontsize=12.0, dpi=100.0, rgb=(0, 0, 0))
>     333         if Z is None:
>     334             # force=True to skip cacheing while debugging
> --> 335             pngfile = self.make_png(tex, fontsize, dpi,
> force=False) pngfile = undefined
>         self.make_png = <bound method TexManager.make_png of
> <matplotlib.texmanager.TexManager instance at 0x41bebd2c>>
>         tex = '$0$'
>         fontsize = 12.0
>         dpi = 100.0
>         global force = undefined
>         global False = undefined
>     336             X = readpng(os.path.join(self.texcache, pngfile))
>     337
>
> /home/fperez/tmp/local/lib/python2.3/site-packages/matplotlib/texmanager.py
> in make_png(self=<matplotlib.texmanager.TexManager instance>,
> tex='$0$', fontsize=12.0, dpi=100.0, force=False)
>     235         # see get_rgba for a discussion of the background
>     236         if force or not os.path.exists(pngfile):
> --> 237             dvifile = self.make_dvi(tex, fontsize)
>         dvifile = undefined
>         self.make_dvi = <bound method TexManager.make_dvi of
> <matplotlib.texmanager.TexManager instance at 0x41bebd2c>>
>         tex = '$0$'
>         fontsize = 12.0
>     238             outfile = basefile+'.output'
>     239             command = 'dvipng -bg Transparent -D %s -T tight
> -o "%s" "%s" \
>
> /home/fperez/tmp/local/lib/python2.3/site-packages/matplotlib/texmanager.py
> in make_dvi(self=<matplotlib.texmanager.TexManager instance>,
> tex='$0$', fontsize=12.0, force=0)
>     207             fh = file(outfile)
>     208             if exit_status:
> --> 209                 raise RuntimeError('LaTeX was not able to
> process the flowing \
>         global RuntimeError = undefined
>         tex = '$0$'
>         fh.read = <built-in method read of file object at 0x418375a0>
>     210 string:\n%s\nHere is the full report generated by LaTeX:
> \n\n'% tex + fh.read())
>     211             else: verbose.report(fh.read(), 'debug')
>
> RuntimeError: LaTeX was not able to process the flowing string:
> $0$
> Here is the full report generated by LaTeX:
>
>
>
> In [6]:
>
>
> My matplotlibrc file has (this is what I think is relevant):
>
> backend      : TkAgg    # the default backend
> numerix      : numpy  # numpy, Numeric or numarray
> text.usetex         : True  # use latex for all text handling.  For
> more information, see
>                              #
> http://www.scipy.org/Wiki/Cookbook/Matplotlib/UsingTex
> text.dvipnghack     : False  # some versions of dvipng don't handle
>
>
> This is running on a Fedora Core 3 box.  Yes, I'll be upgrading to
> Ubuntu very soon, but in the meantime it would be nice to be able to
> use mpl :)
>
> My latex info:
>
> planck[scripts]> latex --version
> TeX (Web2C 7.4.5) 3.14159
> kpathsea version 3.4.5
> Copyright (C) 1997-2003 D.E. Knuth.
>
>
> Cheers,
>
> f
>
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> _______________________________________________
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> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

-- 
Darren S. Dale, Ph.D.
Cornell High Energy Synchrotron Source
Cornell University
200L Wilson Lab
Rt. 366 & Pine Tree Road
Ithaca, NY 14853

dd...@co...
office: (607) 255-9894
fax: (607) 255-9001

Hi all,

with a current SVN checkout, I'm having serious latex problems (run
with debug-annoying):

In [5]: plot([1,2,3])
FigureCanvasAgg.draw
RendererAgg._get_agg_font
        findfont failed New Century Schoolbook
        findfont failed Century Schoolbook L
        findfont failed Utopia
        findfont failed ITC Bookman
        findfont failed Bookman
        findfont found Bitstream Vera Serif, normal, normal 500, normal, 12.0
findfont returning
/home/fperez/tmp/local/lib/python2.3/site-packages/matplotlib/mpl-data/VeraSe.ttf
Found dvipng version 1.8
latex -interaction=nonstopmode
-output-directory="/home/fperez/.matplotlib/tex.cache"
       "/home/fperez/.matplotlib/tex.cache/7ba2a6d994e57f6ad218b4d10097765e.tex"
> "/home/fperez/.matplotlib/tex.cache/7ba2a6d994e57f6ad218b4d10097765e.output"
latex: unrecognized option
`-output-directory=/home/fperez/.matplotlib/tex.cache'
Try `latex --help' for more information.
---------------------------------------------------------------------------
exceptions.RuntimeError                              Traceback (most
recent call last)

/home/fperez/research/papers/nsform/scripts/<ipython console>

/home/fperez/tmp/local/lib/python2.3/site-packages/matplotlib/pylab.py
in plot(*args=([1, 2, 3],), **kwargs={})
   2021     except:
   2022         hold(b)
-> 2023         raise
   2024
   2025     hold(b)

[... snip ...]


/home/fperez/tmp/local/lib/python2.3/site-packages/matplotlib/text.py
in _get_layout(self=<matplotlib.text.TextWithDash instance>,
renderer=<matplotlib.backends.backend_agg.RendererAgg instance>)
    184         heightt += 3  # 3 pixel pad
    185         for line in lines:
--> 186             w,h = renderer.get_text_width_height(
        w = undefined
        h = undefined
        renderer.get_text_width_height = <bound method
RendererAgg.get_text_width_height of
<matplotlib.backends.backend_agg.RendererAgg instance at 0x4183ac4c>>
        line = '$0$'
        self._fontproperties = <matplotlib.font_manager.FontProperties
instance at 0x418402cc>
        global ismath = undefined
        self.is_math_text = <bound method TextWithDash.is_math_text of
<matplotlib.text.TextWithDash instance at 0x4184030c>>
    187                 line, self._fontproperties, ismath=self.is_math_text())
    188

/home/fperez/tmp/local/lib/python2.3/site-packages/matplotlib/backends/backend_agg.py
in get_text_width_height(self=<matplotlib.backends.backend_agg.RendererAgg
instance>, s='$0$', prop=<matplotlib.font_manager.FontProperties
instance>, ismath='TeX', rgb=(0, 0, 0))
    237             size = prop.get_size_in_points()
    238             texmanager = self.get_texmanager()
--> 239             Z = texmanager.get_rgba(s, size, self.dpi.get(), rgb)
        Z = undefined
        texmanager.get_rgba = <bound method TexManager.get_rgba of
<matplotlib.texmanager.TexManager instance at 0x41bebd2c>>
        s = '$0$'
        size = 12.0
        self.dpi.get = <built-in method get of tuple object at 0x41736dcc>
        rgb = (0, 0, 0)
    240             m,n,tmp = Z.shape
    241             return n,m

/home/fperez/tmp/local/lib/python2.3/site-packages/matplotlib/texmanager.py
in get_rgba(self=<matplotlib.texmanager.TexManager instance>,
tex='$0$', fontsize=12.0, dpi=100.0, rgb=(0, 0, 0))
    333         if Z is None:
    334             # force=True to skip cacheing while debugging
--> 335             pngfile = self.make_png(tex, fontsize, dpi, force=False)
        pngfile = undefined
        self.make_png = <bound method TexManager.make_png of
<matplotlib.texmanager.TexManager instance at 0x41bebd2c>>
        tex = '$0$'
        fontsize = 12.0
        dpi = 100.0
        global force = undefined
        global False = undefined
    336             X = readpng(os.path.join(self.texcache, pngfile))
    337

/home/fperez/tmp/local/lib/python2.3/site-packages/matplotlib/texmanager.py
in make_png(self=<matplotlib.texmanager.TexManager instance>,
tex='$0$', fontsize=12.0, dpi=100.0, force=False)
    235         # see get_rgba for a discussion of the background
    236         if force or not os.path.exists(pngfile):
--> 237             dvifile = self.make_dvi(tex, fontsize)
        dvifile = undefined
        self.make_dvi = <bound method TexManager.make_dvi of
<matplotlib.texmanager.TexManager instance at 0x41bebd2c>>
        tex = '$0$'
        fontsize = 12.0
    238             outfile = basefile+'.output'
    239             command = 'dvipng -bg Transparent -D %s -T tight
-o "%s" "%s" \

/home/fperez/tmp/local/lib/python2.3/site-packages/matplotlib/texmanager.py
in make_dvi(self=<matplotlib.texmanager.TexManager instance>,
tex='$0$', fontsize=12.0, force=0)
    207             fh = file(outfile)
    208             if exit_status:
--> 209                 raise RuntimeError('LaTeX was not able to
process the flowing \
        global RuntimeError = undefined
        tex = '$0$'
        fh.read = <built-in method read of file object at 0x418375a0>
    210 string:\n%s\nHere is the full report generated by LaTeX:
\n\n'% tex + fh.read())
    211             else: verbose.report(fh.read(), 'debug')

RuntimeError: LaTeX was not able to process the flowing string:
$0$
Here is the full report generated by LaTeX:



In [6]:


My matplotlibrc file has (this is what I think is relevant):

backend      : TkAgg    # the default backend
numerix      : numpy  # numpy, Numeric or numarray
text.usetex         : True  # use latex for all text handling.  For
more information, see
                             #
http://www.scipy.org/Wiki/Cookbook/Matplotlib/UsingTex
text.dvipnghack     : False  # some versions of dvipng don't handle


This is running on a Fedora Core 3 box.  Yes, I'll be upgrading to
Ubuntu very soon, but in the meantime it would be nice to be able to
use mpl :)

My latex info:

planck[scripts]> latex --version
TeX (Web2C 7.4.5) 3.14159
kpathsea version 3.4.5
Copyright (C) 1997-2003 D.E. Knuth.


Cheers,

f

>>>>> "Eric" == Eric Firing <ef...@ha...> writes:

    Eric> Martin, When I try your example with svn matplotlib, I get a
    Eric> 34 MB eps file, and looking at it, I don't see much room for
    Eric> making it smaller--there is one obvious optimization,
    Eric> abbreviating "marker", but that's it.  (The svg file is 456
    Eric> MB!)  So, maybe some major optimization has already been
    Eric> done between mpl 0.87.2 and svn.

Yep, Darren got "draw_markers" properly implemented for backend PS.
This function is much better in time and space; I believe only *Agg
and PS implement it, but it could be ported over to SVG fairly easily
by modifying the PS implementation.

    Eric> The bigger problem is that each file format has basic
    Eric> characteristics and limitations.  If you draw a million
    Eric> markers and line segments, you are inevitably going to have
    Eric> a big postscript file, unless the postscript backend somehow
    Eric> detects the fact that almost all of your points are
    Eric> indistinguishable and therefore deletes most of them--and
    Eric> this is really asking too much of a plotting backend, I

Agg does this for draw_lines -- it drops points in the path that are
less one pixel away from the previous point.  

JDH

Martin,

When I try your example with svn matplotlib, I get a 34 MB eps file, and 
looking at it, I don't see much room for making it smaller--there is one 
obvious optimization, abbreviating "marker", but that's it.  (The svg 
file is 456 MB!)  So, maybe some major optimization has already been 
done between mpl 0.87.2 and svn.

The bigger problem is that each file format has basic characteristics 
and limitations.  If you draw a million markers and line segments, you 
are inevitably going to have a big postscript file, unless the 
postscript backend somehow detects the fact that almost all of your 
points are indistinguishable and therefore deletes most of them--and 
this is really asking too much of a plotting backend, I think.  (An 
alternative is to generate a pixel image and make the postscript from 
that; this is what matlab does under some circumstances, but it can 
result in big files of poor quality.)

Your options include: filter your points beforehand so you only plot 
points that are distinct; or use a pixel-based format like png, which 
keeps the file size under control.

Eric

Martin Manns wrote:
> Hi,
> 
> When I use matplotlib for a scatter plot with both dots and connecting lines,
> the exported eps file is huge, if the distances between many points are small.
> I think of this as a bug, since no preview tiff is included in the generated eps
> and a variety of text processing applications (including OpenOffice) crash
> when I try to import the eps. Ghostscript takes forever, too. Is there anything
> that I can do in order to export reasonable eps files?
> 
> I am using:
> python 2.4.2
> matplotlib 0.87.2
> numpy 0.9.8
> 
> with Linux
> 
> The following small example illustrates the problem:
> --
> import pylab,numpy,random
> random.seed()
> x=[random.gauss(0,1)/float(i)**2 for i in xrange(1,1000000)]
> X=numpy.array(x,numpy.Float32)
> pylab.plot(X[1:],X[:-1],"-", c="#eeeeee")
> pylab.plot(X[1:],X[:-1],"xk")
> pylab.show()
> --
> 
> The resulting eps file:
> -rw-r----- 1 xx users 212190257 Jul  4 09:39 image.eps
> 
> Thanks a lot in advance
> 
> Martin
> 
> 
> Using Tomcat but need to do more? Need to support web services, security?
> Get stuff done quickly with pre-integrated technology to make your job easier
> Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo
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> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Hi,

I think the bivariate normal probability distribution function 
implementation in Matplotlib is buggy. See the example code below, and 
note that the change in the x directions and the y directions is not 
uniform as it should be.

The implementation (in mlab.py) is appended.

                                                                Faheem.
***************************************************************************
minx, maxx = 0, 13
miny, maxy = 0, 13
X, Y = pylab.meshgrid(range(minx, maxx), range(miny, maxy))
conc = 1000*pylab.bivariate_normal(X, Y, sigmax=5.0, sigmay=5.0, sigmaxy=0, 
mux=6, muy=6)

[[ 0.08  0.11  0.13  0.15  0.16  0.17  0.17  0.17  0.16  0.15  0.13  0.11 0.08]
[ 0.25  0.32  0.38  0.44  0.48  0.51  0.52  0.51  0.48  0.44  0.38  0.32  0.25]
[ 0.63  0.78  0.93  1.07  1.19  1.26  1.29  1.26  1.19  1.07  0.93  0.78  0.63]
[ 1.26  1.57  1.88  2.16  2.39  2.54  2.59  2.54  2.39  2.16  1.88  1.57  1.26]
[ 2.08  2.59  3.1   3.56  3.94  4.18  4.27  4.18  3.94  3.56  3.1   2.59  2.08]
[ 2.8   3.49  4.18  4.81  5.32  5.65  5.76  5.65  5.32  4.81  4.18  3.49  2.8 ]
[ 3.1   3.86  4.62  5.32  5.88  6.24  6.37  6.24  5.88  5.32  4.62  3.86  3.1 ]
[ 2.8   3.49  4.18  4.81  5.32  5.65  5.76  5.65  5.32  4.81  4.18  3.49  2.8 ]
[ 2.08  2.59  3.1   3.56  3.94  4.18  4.27  4.18  3.94  3.56  3.1   2.59  2.08]
[ 1.26  1.57  1.88  2.16  2.39  2.54  2.59  2.54  2.39  2.16  1.88  1.57  1.26]
[ 0.63  0.78  0.93  1.07  1.19  1.26  1.29  1.26  1.19  1.07  0.93  0.78  0.63]
[ 0.25  0.32  0.38  0.44  0.48  0.51  0.52  0.51  0.48  0.44  0.38  0.32  0.25]
[ 0.08  0.11  0.13  0.15  0.16  0.17  0.17  0.17  0.16  0.15  0.13  0.11 0.08]]


def bivariate_normal(X, Y, sigmax=1.0, sigmay=1.0,
                      mux=0.0, muy=0.0, sigmaxy=0.0):
     """
     Bivariate gaussan distribution for equal shape X, Y

     http://mathworld.wolfram.com/BivariateNormalDistribution.html
     """
     Xmu = X-mux
     Ymu = Y-muy

     rho = sigmaxy/(sigmax*sigmay)
     z = Xmu**2/sigmax**2 + Ymu**2/sigmay - 2*rho*Xmu*Ymu/(sigmax*sigmay)
     return 1.0/(2*pi*sigmax*sigmay*(1-rho**2)) * exp( -z/(2*(1-rho**2)))

Hi Martin,

I suggest upgrading to 0.87.3. I can run your test script and can open the 
resulting eps file. Please note, however, that you are asking for a file that 
plots 2e6 points. We have already optimized the postscript commands such that 
each marker or line requires essentially only a single line of postscript 
code (a great improvement over mpl version 0.87.2), but that still means that 
we need to write 2e6 points x 18 bytes per point ~ 36 MB (it actually ends up 
being 41MB), and postscript then has to interpret that massive file. This 
yields about a factor of 5 improvement in the size of your file, and its 
about the best we can do for postscript.

If you want a smaller file size, I suggest you convert your file to some other 
format, since most of your data points lie on top of one another, and then 
convert back to eps if you really need that format. For example, you can 
convert your 41MB eps file into a 274KB pdf file or a 6KB png file.

Finally, we dont include tiff previews in our eps files, so this is not a bug.

Darren

On Friday 07 July 2006 12:21, Martin Manns wrote:
> Hi,
>
> When I use matplotlib for a scatter plot with both dots and connecting
> lines, the exported eps file is huge, if the distances between many points
> are small. I think of this as a bug, since no preview tiff is included in
> the generated eps and a variety of text processing applications (including
> OpenOffice) crash when I try to import the eps. Ghostscript takes forever,
> too. Is there anything that I can do in order to export reasonable eps
> files?
>
> I am using:
> python 2.4.2
> matplotlib 0.87.2
> numpy 0.9.8
>
> with Linux
>
> The following small example illustrates the problem:
> --
> import pylab,numpy,random
> random.seed()
> x=[random.gauss(0,1)/float(i)**2 for i in xrange(1,1000000)]
> X=numpy.array(x,numpy.Float32)
> pylab.plot(X[1:],X[:-1],"-", c="#eeeeee")
> pylab.plot(X[1:],X[:-1],"xk")
> pylab.show()
> --
>
> The resulting eps file:
> -rw-r----- 1 xx users 212190257 Jul  4 09:39 image.eps
>
> Thanks a lot in advance
>
> Martin
>
>
> Using Tomcat but need to do more? Need to support web services, security?
> Get stuff done quickly with pre-integrated technology to make your job
> easier Download IBM WebSphere Application Server v.1.0.1 based on Apache
> Geronimo
> http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

-- 
Darren S. Dale, Ph.D.
Cornell High Energy Synchrotron Source
Cornell University
200L Wilson Lab
Rt. 366 & Pine Tree Road
Ithaca, NY 14853

dd...@co...
office: (607) 255-9894
fax: (607) 255-9001

Hi,

When I use matplotlib for a scatter plot with both dots and connecting lines,
the exported eps file is huge, if the distances between many points are small.
I think of this as a bug, since no preview tiff is included in the generated eps
and a variety of text processing applications (including OpenOffice) crash
when I try to import the eps. Ghostscript takes forever, too. Is there anything
that I can do in order to export reasonable eps files?

I am using:
python 2.4.2
matplotlib 0.87.2
numpy 0.9.8

with Linux

The following small example illustrates the problem:
--
import pylab,numpy,random
random.seed()
x=[random.gauss(0,1)/float(i)**2 for i in xrange(1,1000000)]
X=numpy.array(x,numpy.Float32)
pylab.plot(X[1:],X[:-1],"-", c="#eeeeee")
pylab.plot(X[1:],X[:-1],"xk")
pylab.show()
--

The resulting eps file:
-rw-r----- 1 xx users 212190257 Jul  4 09:39 image.eps

Thanks a lot in advance

Martin

Arg, sorry, I have found the response by myself, I just have to use=20
figure.add_subplot to fix it.

Le Vendredi 07 Juillet 2006 15:14, Lionel Roubeyrie a =C3=A9crit=C2=A0:
> Hi Jeff,
> thanks for the hint, I just need to import one personal GMT file maked a
> time ago and used in a plotting project based on GMT, which I try to
> convert to matplotlib.
> Now I have a little problem to plot a basemap with subplots. Trying to use
> contour_demo.py mixed with hist.py to have a map with contours and under =
it
> an histogram of values, I can't set the colorbar else I loose the map. I
> think I have a problem with axes but I'm not very familar with subplottin=
g.
> Have you an idea of how can I do that?
>
> Le Vendredi 07 Juillet 2006 13:53, Jeff Whitaker a =C3=A9crit=C2=A0:
> > Lionel Roubeyrie wrote:
> > > Hi all,
> > > Is it possible to import colormap file from GMT (.cpt) to basemap? If
> > > yes how can we do that?
> > > Thanks
> >
> > Lionel:  I had included the GMT colormaps in matplotlib, but had to take
> > them out because of licensing issues.  If you want to put them back in,
> > put the attached file in your matplotlib install directory
> > <sys.prefix>/lib/python2.4/site-packages/matplotlib. Then use a text
> > editor to add the following lines to _cm.py (in the same directory)
> >
> > from gmt_cm import addcmaps
> > addcmaps(datad)
> >
> > right above the line
> >
> > # reverse all the colormaps.
> >
> > This will give you the colormaps
> >
> > GMT_gebco
> > GMT_globe
> > GMT_haxby
> > GMT_no_green
> > GMT_ocean
> > GMT_polar
> > GMT_red2green
> > GMT_relief
> > GMT_seis
> > GMT_wysiwyg
> >
> > and the corresponding reversed colormaps (with '_r' appended to the
> > name).
> >
> >
> > -Jeff

=2D-=20
Lionel Roubeyrie - lro...@li...
LIMAIR
http://www.limair.asso.fr

Hi Jeff,
thanks for the hint, I just need to import one personal GMT file maked a ti=
me=20
ago and used in a plotting project based on GMT, which I try to convert to=
=20
matplotlib.
Now I have a little problem to plot a basemap with subplots. Trying to use=
=20
contour_demo.py mixed with hist.py to have a map with contours and under it=
=20
an histogram of values, I can't set the colorbar else I loose the map. I=20
think I have a problem with axes but I'm not very familar with subplotting.
Have you an idea of how can I do that?

Le Vendredi 07 Juillet 2006 13:53, Jeff Whitaker a =C3=A9crit=C2=A0:
> Lionel Roubeyrie wrote:
> > Hi all,
> > Is it possible to import colormap file from GMT (.cpt) to basemap? If y=
es
> > how can we do that?
> > Thanks
>
> Lionel:  I had included the GMT colormaps in matplotlib, but had to take
> them out because of licensing issues.  If you want to put them back in,
> put the attached file in your matplotlib install directory
> <sys.prefix>/lib/python2.4/site-packages/matplotlib. Then use a text
> editor to add the following lines to _cm.py (in the same directory)
>
> from gmt_cm import addcmaps
> addcmaps(datad)
>
> right above the line
>
> # reverse all the colormaps.
>
> This will give you the colormaps
>
> GMT_gebco
> GMT_globe
> GMT_haxby
> GMT_no_green
> GMT_ocean
> GMT_polar
> GMT_red2green
> GMT_relief
> GMT_seis
> GMT_wysiwyg
>
> and the corresponding reversed colormaps (with '_r' appended to the name).
>
>
> -Jeff

=2D-=20
Lionel Roubeyrie - lro...@li...
LIMAIR
http://www.limair.asso.fr

Lionel Roubeyrie wrote:
> Hi all,
> Is it possible to import colormap file from GMT (.cpt) to basemap? If yes how 
> can we do that?
> Thanks
>   
Lionel:  I had included the GMT colormaps in matplotlib, but had to take 
them out because of licensing issues.  If you want to put them back in, 
put the attached file in your matplotlib install directory 
<sys.prefix>/lib/python2.4/site-packages/matplotlib. Then use a text 
editor to add the following lines to _cm.py (in the same directory)

from gmt_cm import addcmaps
addcmaps(datad)

right above the line

# reverse all the colormaps.

This will give you the colormaps

GMT_gebco
GMT_globe
GMT_haxby
GMT_no_green
GMT_ocean
GMT_polar
GMT_red2green
GMT_relief
GMT_seis
GMT_wysiwyg

and the corresponding reversed colormaps (with '_r' appended to the name).


-Jeff

-- 
Jeffrey S. Whitaker         Phone : (303)497-6313
NOAA/OAR/CDC  R/PSD1        FAX   : (303)497-6449
325 Broadway                Boulder, CO, USA 80305-3328

Thanks to all at MatplotLib over the years.

I've been using mpl to automate the plots for a report I've been
working on for several years. It's now been released, along with the
Python scripts, from:
         http://sarbayes.org/download.shtml
         "Missing Person Behaviour: An Australian Study"

An example figure is attached, and mpl is cited.  Thanks again!

-C

-- 
Charles R. Twardy

Work very fine here, thanks for the links.

Le Vendredi 07 Juillet 2006 10:11, dd...@ja... a =C3=A9crit=C2=A0:
> On Friday 07 July 2006 4:11 pm, Lionel Roubeyrie wrote:
> > Hi all,
> > Is it possible to import colormap file from GMT (.cpt) to basemap?
> > If yes how can we do that?
> > Thanks
>
> It's possible. Here's how I've been doing it.
>
> (1) I use the gmtcolormapPylab function defined in:
> http://sourceforge.net/mailarchive/message.php?msg_id=3D11255878
>
> (2) Using the above function and a GMT cpt file (e.g.
> GMT_no_green.cpt), I set a color dictionary as:
> cdict =3D gmtcolormapPylab("GMT_no_green")
>
> (3) I define a colormap using:
> mycmap =3D cm.colors.LinearSegmentedColormap("GMT_no_green",cdict,256)
>
> (4) I apply the above using cmap=3Dmycolormap in contourf or pcolormesh.
>
> By the way, in case you don't know of the following site, it has an
> exhaustive selection of color palettes: http://cpt-city.org.uk/
>
> I've also attached an example of a basemap image using a cpt from the
> above site. Masked values not defined by the colormap are shown in
> gray.

=2D-=20
Lionel Roubeyrie - lro...@li...
LIMAIR
http://www.limair.asso.fr

On Friday 07 July 2006 4:11 pm, Lionel Roubeyrie wrote:
> Hi all,
> Is it possible to import colormap file from GMT (.cpt) to basemap?
> If yes how can we do that?
> Thanks

It's possible. Here's how I've been doing it. 

(1) I use the gmtcolormapPylab function defined in: 
http://sourceforge.net/mailarchive/message.php?msg_id=11255878

(2) Using the above function and a GMT cpt file (e.g. 
GMT_no_green.cpt), I set a color dictionary as:
cdict = gmtcolormapPylab("GMT_no_green") 

(3) I define a colormap using:
mycmap = cm.colors.LinearSegmentedColormap("GMT_no_green",cdict,256)

(4) I apply the above using cmap=mycolormap in contourf or pcolormesh.

By the way, in case you don't know of the following site, it has an 
exhaustive selection of color palettes: http://cpt-city.org.uk/

I've also attached an example of a basemap image using a cpt from the 
above site. Masked values not defined by the colormap are shown in 
gray. 

Hi all,
Is it possible to import colormap file from GMT (.cpt) to basemap? If yes how 
can we do that?
Thanks
-- 
Lionel Roubeyrie - lro...@li...
LIMAIR
http://www.limair.asso.fr