[Numpy-discussion] How to compute gradients or derivatives.

[Jon Saenz]

take a look to some parts of the code in http://www.pyclimate.org.

There are some functions to compute gradients, divergence and vertical
component of the rotational of scalar and vector fields. BUT... we only
support regular grids in a certain ordering, which is the one most used
for climate data sets. Moreover, our derivatives are computed in
spherical coordinates, like the ones used in geophysical data sets. Still,
you can use the code as a starting point to develop your own functions.

Jon Saenz.				| Tfno: +34 946012445
Depto. Fisica Aplicada II               | Fax:  +34 944648500
Facultad de Ciencias.   \\ Universidad del Pais Vasco \\
Apdo. 644   \\ 48080 - Bilbao  \\ SPAIN

On Thu, 24 Jul 2003, Maurice van de Rijzen wrote:

> Dear all,
>
> I was lookogn for u numerical extension to python and was therefore glad
> that i ran into numpy.
> I did all the calculations on mataln and I want to migrate to python.
> Numpy and numarray pretend to have the basic functionality of matlab and
> therefore i expected als a function that is able to compute gradients of
> high-order arrays which is a basic matlab thing. I could not find
> something like that. I found something in SciPy but I think that this
> one cannot compute high-order arrays.
> I'm thinkin of something as in matlab e.g. say that T=f(x,y,z,p)
>
> [gx,gy] = gradientT;
>
> Is something like that possible?
>
> Thanks in advance
>
>
>
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