Thank you very much,
it works very well now.
Cheers.

Emanuele Passera

Software Engineer

Tele-Rilevamento Europa - T.R.E. srl
Via Vittoria Colonna, 7
20149 Milano – Italia
Tel.: +39.02.4343.121 - Fax: +39.02.4343.1230
emanuele.pass...@treuropa.com - www.treuropa.com


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On Thu, Apr 21, 2011 at 5:38 PM, Emanuele Passera <
emanuele.pass...@treuropa.com> wrote:

> Hello everybody,
>
> I am experiencing a strange behavior with the scatter() function when
> using different figure canvas y dimensions in inches.
>
> Executing the code listed below, I obtain good images when using some
> dimensions
> and totally white images when using others.
> I have attached the input data buffers and the resulting images too.
>
> #!/usr/bin/python
>
> import numpy as n
> import pylab as p
>
> def scatterFun(x, y, data, yCanvasDimInches, imageName):
>     """ This function draws a scatterogram for the input data. """
>     canvasObj = p.figure(figsize=(8, yCanvasDimInches), dpi=100)
>     axisObj = canvasObj.add_axes([0, 0, 1, 1])
>     axisObj.scatter(x, y, 10, data, 'o')
>     canvasObj.savefig(imageName, dpi=100)
>     p.close()
>
>
> # data buffer files
> yPosFile = "/users/lelepass/python/test_scatter/yPos"
> xPosFile = "/users/lelepass/python/test_scatter/xPos"
> dataFile = "/users/lelepass/python/test_scatter/data"
> # loading data
> s = file(dataFile, 'rb').read()
> data = n.fromstring(s, 'f')
> s = file(yPosFile, 'rb').read()
> y = n.fromstring(s, 'd')
> s = file(xPosFile, 'rb').read()
> x = n.fromstring(s, 'd')
>
> # scatterogram generation
> scatterFun(x, y, data, 6, "pippo1.png")
> scatterFun(x, y, data, 6.01, "pippo2.png")
> scatterFun(x, y, data, 6.015, "pippo3.png")
> scatterFun(x, y, data, 6.02, "pippo4.png")
> scatterFun(x, y, data, 6.028, "pippo5.png")
> scatterFun(x, y, data, 6.03, "pippo6.png")
>
> Can anyone help me ?
>
> I use
> Linux openSUSE 11.3 (x86_64)
> Linux sat1 2.6.34.7-0.7-default #1 SMP 2010-12-13 11:13:53 +0100 x86_64
> x86_64 x86_64 GNU/Linux
> Python       2.6.5
> numpy        1.5.1
> matplotlib   1.0.1 with backend Agg v2.2
>
> On the same system descripted above linking matplotlib from svn
> matplotlib-matplotlib-v1.0.1-756-g3c43d83.tar.gz instead of the installed
> one,
> all the images are white.
>
> If it can be of some help this strange behavior does not appear with a
> system
> Linux Ubuntu 9.10
> Linux joshua 2.6.28-11-server #42-Ubuntu SMP Fri Apr 17 02:48:10 UTC 2009
> i686 GNU/Linux
> Python       2.6.4
> numpy        1.3.0
> matplotlib   0.99.0 with backend Agg v2.2
>
> Executing the script with verbosity I get the subsequent output
>
> $HOME=/users/lelepass
> CONFIGDIR=/users/lelepass/.matplotlib
>
> Bad key "numerix" on line 30 in
> /users/lelepass/.matplotlib/matplotlibrc.
> You probably need to get an updated matplotlibrc file from
> http://matplotlib.sf.net/_static/matplotlibrc or from the matplotlib
> source
> distribution
> matplotlib data path /usr/lib64/python2.6/site-packages/matplotlib/mpl-data
> loaded rc file /users/lelepass/.matplotlib/matplotlibrc
> matplotlib version 1.0.1
> verbose.level helpful
> interactive is False
> units is True
> platform is linux2
> Using fontManager instance from /users/lelepass/.matplotlib/fontList.cache
> backend agg version v2.2
> findfont: Matching
> :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=medium
> to Bitstream Vera Sans
> (/usr/lib64/python2.6/site-packages/matplotlib/mpl-data/fonts/ttf/Vera.ttf)
> with score of 0.000000
>
>
> Thank you all.
> Bye.
>
> Emanuele Passera
>
> Software Engineer
>
> Tele-Rilevamento Europa - T.R.E. srl
> Via Vittoria Colonna, 7
> 20149 Milano – Italia
> Tel.: +39.02.4343.121 - Fax: +39.02.4343.1230
> emanuele.pass...@treuropa.com - www.treuropa.com
>
>
> --
> This communication, that may contain confidential and/or legally privileged
> information, is intended solely for the use of the intended addressees.
> Opinions, conclusions and other information contained in this message, that
> do not relate to the official business of this firm, shall be considered as
> not given or endorsed by it. Every opinion or advice contained in this
> communication is subject to the terms and conditions provided by the
> agreement governing the engagement with such a client. If you have received
> this communication in error, please notify us immediately by responding to
> this email and then delete it from your system. Any use, disclosure, copying
> or distribution of the contents of this communication by a not-intended
> recipient or in violation of the purposes of this communication is strictly
> prohibited and may be unlawful.
>  --
>
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