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<div class="moz-cite-prefix">On 03/18/2015 02:03 PM, Matthias Kuhn
wrote:<br>
</div>
<blockquote cite="mid:5509778B.5010401@opengis.ch" type="cite">
<pre wrap="">Hi
On 03/18/2015 01:39 PM, Régis Haubourg wrote:
</pre>
<blockquote type="cite">
<pre wrap="">Hi Mattheo,
I totally agree with that feature request and am volunteer to work on that
if needed.
I have been doing experiments with processing scripts using library such as
pandas (relying on matplotlib), seaborn and plot.ly.
See "Summarize_numeric_columns_using_Pandas" script in my github
<a class="moz-txt-link-freetext" href="https://github.com/aeag/QGIS-Processing/tree/master/scripts">https://github.com/aeag/QGIS-Processing/tree/master/scripts</a> ) for a first
example. We also have unpublished scripts making graphs if needed.
I expect to have a student working on that this year: exploring what libs
are worth being shipped with qgis, and developping some processing tools
using that.
The tries I have made up to now seems to conclude that the "must have" lib
is Pandas. Many QGIS processing tools working on non geographic data are
limited when datasets grow up. Pandas let it be extrmely fast and concise,
in a syntax very close from "R". That may be worth shipping it..
It weights nothing in comparison of Numpy (already required)..
</pre>
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<pre wrap="">
Pandas is really great. I used it a lot for my master thesis and was
excited, especially in combination with ipython notebook it's great to
process, combine and visualize data.
Just a minior sidenote: it makes use of numpy IIRC, so it's not an
alternative to it but something on top of it.</pre>
</blockquote>
Oh, that's probably what you wanted to say with already required :)<br>
<blockquote cite="mid:5509778B.5010401@opengis.ch" type="cite">
<pre wrap="">
All the best
Matthias
</pre>
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<pre wrap="">
Once pandas shipped, we could probably make great improvements to Statist
and its friends.
Cheers
Régis
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