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Old 26th August 2008
kasse kasse is offline
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Default How to vectorize a function for numpy arrays in Python

In python say that I have a numpy array
Code:
 myarray =array([item1,item2,...itemN])
all items are of the same type and I have a function
Code:
 myfun(item)
and I want to use myfun on myarray. I dont want to write a function that uses a for loop applying myfun on the elements in myarray since the for loops are so slow in python on big array 10^N elements. The predefined types and basic operations on these seem to work in vectorized format, so how do I write my own.
I know there is something called ufunc with numpy but I cannot access scipy.org since the site appears to be down now. Vectorize and frompyfunc works but it is much slower that if you can make your own ufunc like.

Last edited by kasse; 26th August 2008 at 02:38 PM.
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