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Showing results of 279

<< < 1 .. 10 11 12 (Page 12 of 12)
From: Emanuele P. <ema...@tr...> - 2011年05月02日 11:22:27
Anyone can give me an help, please ?
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
ema...@tr... - 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.
--
On Thu, Apr 21, 2011 at 5:38 PM, Emanuele Passera <
ema...@tr...> 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年12月13日 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
> ema...@tr... - 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.
> --
>
From: C M <cmp...@gm...> - 2011年05月01日 21:36:23
I get this error and would like to know what to do to eliminate it and
also what it means:
C:\Python25\lib\site-packages\matplotlib\axes.py:2571:
UserWarning: Attempting to set identical bottom==top results
in singular transformations; automatically expanding.
bottom=0, top=0 + 'bottom=%s, top=%s') % (bottom, top))
This is with Matplotlib 1.0.0.
Thank you,
Che
From: Malte D. <mal...@we...> - 2011年05月01日 11:54:17
Hi,
Pau <vim...@go...>
> Hello,
> 
> I am trying to print in the plot the value of a time variable which I
> obtain like this
> 
> Time = MBH_inst[0] # Column 1
> 
> This should be placed on the top right part of the plot showing the current
> time
> 
> Time = XXX yrs
> 
> But I do not know how to pass this to ax.annotate:
> 
> ax.annotate('Time = ', size=18, xy=(3, 1), xycoords='data',
> xytext=(0.8, 0.95), textcoords='axes fraction',
> horizontalalignment='right', verticalalignment='top',
> )
Maybe like this:
ax.annotate('Time = %f'%(MBH_inst[0],), size=18, xy=(3, 1), xycoords='data',
 xytext=(0.8, 0.95), textcoords='axes fraction',
 horizontalalignment='right', verticalalignment='top',
 )
?
You can also adjust the number of shown digits right of the comma by setting 
it up like this: %0.2f etc.
Just look it up in the python documentation (search hints: python string 
format).
Wish you the best,
Malte
From: Frederic V. <fv...@ms...> - 2011年05月01日 10:26:45
Hello,
I am using the scatter function and axes3D. I can define my viewpoint on
my data points using the elev and azim parameters. But I am looking for
more specification of the viewpoint : namely, I want to roll (i.e. rotate
around the view axis) and offset it (i.e. get sideways, not rotate around
my data points).
Is there any way to do it ? At the moment, I am using transformation
matrices applied to my data points to reproduce the roll and offset.
Ultimately, I want to rotate and offset both the data points and axis, but
the transformation matrices only impact the data point.
Hence my question : any way to roll and offset around a viewpoint with
Axes3D ? I don't want to do this interactively, I want to be able to
program it.
Thanks, and cheers !
Fréd
5 messages has been excluded from this view by a project administrator.

Showing results of 279

<< < 1 .. 10 11 12 (Page 12 of 12)
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