[SciPy-user] Re: xplt documentation
nadavh at visionsense.com
Thu May 6 05:34:09 CDT 2004
From: Arnd Baecker [mailto:arnd.baecker at web.de]
Sent: Tue 04-May-04 14:49
To: Nadav Horesh
Cc: scipy-user at scipy.net
Subject: Re: [SciPy-user] Re: xplt documentation
On Tue, 4 May 2004, Nadav Horesh wrote:
>> I've made some testing (not exhaustive) of matplotlib under IDLE and
>> pycrust on win32 and linux platforms. matplotlib seems to be more
>> tolerant then xplt,
> Can you be a bit more explicit, i.e. give examples ?
I just succeeded to interact with the plot window (zoom for instance), while in xplt I had to call pyg_pending() in order to render the mouse commands.
>> especially when show() is called instead of
>> using the interactive mode.
>Personally I think that this is one of the big strengths
>of scipy.xplt. For example, when debugging
>I use a lot
> from IPython.Shell import IPythonShellEmbed
> ipshell = IPythonShellEmbed()
>The ipshell() can come at any point of your code
>and all variables are available.
>So a quick
>often allows to find bugs much more quickly
>than anything else.
I will try that.
>> The linux environment seems to work a
>> bit better then the win32.
>> There is a project (not very active nowadays) called glplot
>> (glplot.sf.net) which fills a shortcoming of gnuplot of
>> generating false colour map of large matrices (gnuplot is too slow here).
>There is a patch on sourceforge for gnuplot which allows
>for bitmap images (ie. matrices). I once tried it out and it is very nice.
>It might take a little time until this gets integrated
>as the gnuplot team seems to be a bit busy with
>after release issues.
Can you explain more about this patch --- how to access, compile and use it?
I am familiar only with the "set pm3d map" option, wich is very nice, but sill too slow for large matrices.
>If you really want to go for large matrices have a look
I am using MayaVI for some time, it is reall an excellent tool. The direct call from python looked cumbersome. I'll try to write a script to automate some steps, what could make it more handy.
Another excellent tool for viewing 2-4D array is flounder:
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