On 2012-10-18 05:58:46 +0000, Eric Firing said:
> On 2012/10/17 6:13 PM, Michael Aye wrote:
>> I am using matplotlib 1.1.0 that came with the current EPD, which in
>> turn comes without pygtk.
>>
>> However, the linux system I am using this on (CentOS6) has pygtk installed:
>>
>> /usr/lib64/pygtk/2.0
>>
>> Is there any change I can marry those two? Currently, when I try to
>> matplotlib.use('gtk')
>> I get an error
>> ImportError("Gtk* backend requires pygtk to be installed.")
>>
>> Or do I need to recompile it into this matplotlib?
>
> Yes, you need to recompile. It will need to compile _backend_gdk.c,
> which needs to be able to find pygtk.h.
>
> The plain (non-agg) gtk backend is basically unmaintained and its use is
> discouraged.
And the GTKAgg backend would have the same constraints as my current
WxAgg, correct?
> Are you sure there isn't a reasonably easy way to do what
> you need with qt4agg, for example? How do you want to visualize your
> million points?
Obviously there isn't place for displaying 1 million points, so I would
expect the backend to do averaging/rebinninig/down-sampling of my data,
depending on the current zoom level, meaning when I zoom in, it should
repeat the averaging/rebinning/downsampling, optimized for the
currently displayed data range. I'm aware and very willing to accept
the delays this implies for display, but this would still be so much
more comfortable then to write my own downsampling routines.
I would believe that many believe would agree to the simplest averaging
routines, if only it would be possible to display large data sets at
all.
Michael
>
> Eric
>
>>
>> Thanks for your help!
>>
>> Michael
>>
>> PS.: The reason why I want to try GTK is actually that there are
>> reports of it being able to cope with 1 million data points, something
>> all other Agg-related backends can not do, apparently. (My linux is
>> server is definitely not the limit ;)
>>
>>
>>
>>
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>
>
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