Hello everybody,
On 28 April 2012 12:13, julien tayon <jul...@tayon.net> wrote:
> First cpp stands for C Pre Processor, this tool usually does macro
> substitution in c, objective c, c++. Hence Cpp in the object is pretty
> much confusing when it seems to be talking about C++.
>
Sorry for my ignorance, will know it in the future
> There is another simpler solution however :
> Do everything in python : python is a very powerfull gluing langage,
> the GIL ensuring that non thread-safe code is thread safe, it is very
> forgiving with code not design for concurrency.
>
I wanted to write in Python as much code as possible, it is just some plot
commands are quite slow in matplotlib. For example, I want to work in polar
coordinate system to plot a function of 2 variables. For that I want to use
the np.meshgrid function and the plot the results with the pcolor command
from pyplot. The problem is that with a lot of data points it becomes very
slow, which is not acceptable if one wants to draw a lot of plots using
this function. Because the array is not ordered and points in space are at
irregular intervals, I could not use imshow, which is much much faster. So
I was thinking if there is some internal C++ API which I could use and
maybe speed up the plotting itself a bit.
It would actually be very nice if I could do that as most of the toolkits,
which can interface with C/C++ do not have LaTeX capabilites. Gnuplot can
be used in C/C++, but as far as I remember it is not the most elegant way
of doing it...
Going back to the topic, is there any potential to speed up some commands
(e.g. pcolor) by rewriting/extending them in Cython or C++? If yes, then
maybe I might tinker with the code at some point, when I have more free
time.
Anyway, thanks for such detailed answers.
All best,
Ignas A.
------------------------------------------------------------------------------
Live Security Virtual Conference
Exclusive live event will cover all the ways today's security and
threat landscape has changed and how IT managers can respond. Discussions
will include endpoint security, mobile security and the latest in malware
threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
