Re: [Matplotlib-users] Matplotlib and Cpp

[Ignas A. <ani...@gm...>]

Hello everybody,

On 28 April 2012 12:13, julien tayon <ju...@ta...> 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.