Question

I am trying to get a bincount of a numpy array which is of the float type:

w = np.array([0.1, 0.2, 0.1, 0.3, 0.5])
print np.bincount(w)

How can you use bincount() with float values and not int?

Answer 1

You want something like this?

>>> from collections import Counter
>>> w = np.array([0.1, 0.2, 0.1, 0.3, 0.5])
>>> c = Counter(w)

Counter({0.10000000000000001: 2, 0.5: 1, 0.29999999999999999: 1, 0.20000000000000001: 1})

or, more nicely output:

Counter({0.1: 2, 0.5: 1, 0.3: 1, 0.2: 1})

You can then sort it and get your values:

>>> np.array([v for k,v in sorted(c.iteritems())])

array([2, 1, 1, 1])

The output of bincount wouldn’t make sense with floats:

>>> np.bincount([10,11])
array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1])

as there is no defined sequence of floats.