How to compute percentile of the Python array elements

Question

I have a Numpy array and want to compute different percentiles of its elements. What is the pythonic way to compute?

Answer 1

You can use numpy.percentile(). It returns the q-th percentile(s) of the array elements. The function is as follows:

numpy.percentile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False)

Check the following examples:

>>> import numpy as np
>>> a = [10, 20, 25, 30, 35, 15, 12]
>>> np.percentile(a, 50)
20.0
>>> a = np.array([[10, 7, 4], [3, 2, 1]])
>>> a
array([[10,  7,  4],
       [ 3,  2,  1]])
>>> np.percentile(a, 50)
3.5
>>> np.percentile(a, 50, axis=0)
array([6.5, 4.5, 2.5])
>>> np.percentile(a, 50, axis=1)
array([7., 2.])