counting the number of samples in a numpy array [duplicate]

Question

I have a numpy array of samples, [0, 0, 2.5, -5.0, ...]. In my case all samples are multiples of 2.5. I want tot know how many times each sample occurs. More or less like numpy.hist. In this case something like: [[-5.0, 1], [0, 2], [2.5, 1], ...].

@:Just check here ..stackoverflow.com/questions/10741346/… — George
– George, Commented Apr 2, 2015 at 13:25

avinash pandey · Accepted Answer · 2015-04-02 13:20:13Z

0

You can use

[[x,l.count(x)] for x in set(l)]

Output

[[0, 2], [2.5, 1], [-5.0, 1]]

You can also use counter

>>> l = [0,0,2.5,-5.0]
>>> from collections import Counter
>>> Counter(l)
Counter({0: 2, 2.5: 1, -5.0: 1})

answered Apr 2, 2015 at 13:20

avinash pandey

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