Need faster python code for calculating sample entropy

Question

This is the problem I have faced when I am writing python code for sample entropy.

map(max, abs(a[i]-a) ) is very slow.

Is there any other function perform better than map() ?

Where a is ndarray that looks like np.array([ [1,2,3,4,5],[2,3,4,5,6],[3,4,5,3,2] ])

What's a here? And is this Python 2.x or 3.x (map() is not the same in both)? — arshajii
– arshajii, Commented Aug 27, 2013 at 15:21
have you tried import speed? Seriously though, what does a look like and what is the required output? — inspectorG4dget
– inspectorG4dget, Commented Aug 27, 2013 at 15:21
is a a numpy.ndarray? (you can check this doing type(a))... — Saullo G. P. Castro
– Saullo G. P. Castro, Commented Aug 27, 2013 at 15:24

Viktor Kerkez · Accepted Answer · 2013-08-27 15:33:23Z

6

Use the vectorized max

>>> map(max, abs(a[2]-a) )
[3, 4, 0]
>>> np.abs(a[2] - a).max(axis=1)
array([3, 4, 0])

answered Aug 27, 2013 at 15:33

Viktor Kerkez

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