[Numpy-discussion] Arithmetic on arrays of pointers

Christopher Barker Chris.Barker@noaa....
Wed Apr 29 12:31:22 CDT 2009


Dan Goodman wrote:
> (because I want to construct the 1D arrays X, Y above from values picked 
> from a variety of possible data structures, including dense and sparse 
> 2D arrays, but in such a way that the code that uses these values 
> doesn't have to know where the values came from in these data 
> structures).

I wonder if you could define a new datatype (or set of datatypes) for 
numpy: pointer_to_double, etc. What I'm wondering is how you would 
construct an array of such types in python, though I suppose you could 
do something like:

a = np.array(data, dtype=np.float)

pa = np.empty(size, dytpe=np.p_float)

pa[i] = a[i]

and have it do "the right thing". You might also be able to grab 
pointers with ctypes or cython.

> code which involves scheduling events in the future (simple events like 
> add a value to another value), but the library is supposed to be easily 
> extensible for people who don't know C so I want to make it as easy to 
> use as possible.
> 
> Well, that's a slightly underdefined problem, basically I just have a 
> vague idea that something like the above would be useful to me and I'm 
> looking for any ideas that might seem relevant.

Overall, if you want easy to use, and not a lot of segfalts, I suspect 
you are better off getting away from pointers in user code, and instead 
creating objects for your users to manipulate that grab copies of data 
from where they need it, and update the original data when it changes.

-Chris




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Christopher Barker, Ph.D.
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