[Numpy-discussion] Numpy array performance issue

[Bruno Santos]

>
>
>
> The idiomatic way of doing this for numpy arrays would be:
>
> def test2(arrx):
>    return (arrx >= 10).sum()
>
>  Even this versions takes more time to run than my original python version
> with arrays.

 >>> def test3(listx):
...     return (listx>=10).sum()
>>> t = timeit.Timer("test3(list2)","from __main__ import *")
>>> t.timeit()
7.146049976348877

My fastest version at the moment is:
def test3(listx):
...     return len(numpy.where(listx>=10)[0])
>>> t = timeit.Timer("test3(list2)","from __main__ import *")
<timeit-src>:2: SyntaxWarning: import * only allowed at module level
>>> t.timeit()
5.8264470100402832

Thank you. All the best,
Bruno
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