Question

I have a file with several lines, each containing some 30,000 integers. I’m interested in computing various statistical quantities such as mean/media/variance/etc., per line.

For example, given a file whose contents are

1 2 3 4 5
6 8 9 0 10 11 12

I would like an output similar to

(std = 1.4142135623730951, mean = 3.0, median = 3.0)
(std = 3.7416573867739413, mean = 8.0, median = 9.0)    

What are my options apart from writing the thing myself (acquiring Happiness Through Numerics) ? Are there any one-liners for this?

A bash/python/perl/etc. solution is preferred, as is simplicity.

Answer 1

Not quite a 1-liner, but quite simple (provided you’ve installed numpy).

import numpy as np
with open(filename) as f:
    for line in f:
        a=np.array(line.split(),dtype=int)
        print(a.std(),a.mean(),np.median(a))  #standard-deviation, mean, median