playground.py

import numpy as np

def expSum(items):
    temp = np.copy(items)
    for x in np.nditer(temp, op_flags=['readwrite']):
        x[...] = np.exp( x)
    print "Using nditer and loop"
    print temp

    print "transpose"
    for column in items.T:
        print "column"
        print column


x = np.arange(1, 6, 2)
scores = np.vstack([x, np.ones_like(x), 0.2 * np.ones_like(x)])
print scores

expSum(scores)

x = np.array((9,5,8,6,4,11)).reshape(3,2)
print x
print x.min(axis=0)