How to check efficiently numpy array contains item within given range?

Question

I have a numpy array, called a , I want to check whether it contains an item in a range, specified by two values.

import numpy as np
a = np.arange(1         


        

Answer 1

Adding to the pure Numpy answer we can also use itertools

import itertools

bool(list(itertools.ifilter(lambda x: 33 <= x <= 66, a)))

For smaller arrays this would suffice:

bool(filter(lambda x: 33 <= x <= 66, a))

Answer 2

Numpy arrays doesn't work well with pythonic a < x < b. But there's func for this:

np.logical_and(a > mintrshold, a < maxtreshold)

or

np.logical_and(a > mintrshold, a < maxtreshold).any()

in your particular case. Basically, you should combine two element-wise ops. Look for logic funcs for more details