[Numpy-discussion] optimising single value functions for array calculations
Mon Dec 1 04:22:10 CST 2008
I am developing a module which bases its calculations
on another specialised module.
My module uses numpy arrays a lot.
The problem is that the other module I am building
upon, does not work with (whole) arrays but with
Therefore, I am currently forces to loop over the
a = numpy.arange(100)
b = numpy.arange(100,200)
for i in range(0,a.size):
a[i] = myfunc(a[i])* b[i]
The results come out well. But the problem is that this
way of calculation is very ineffiecent and takes time.
May anyone give me a hint on how I can improve my
code without having to modify the package I am
building upon. I do not want to change it a lot because
I would always have to run behind the chnages in the
How to I make a calculation function array-aware?
Thanks in advance,
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