import numpy as np
import matplotlib.pyplot as plt
import time

ns = 2**(np.arange(4,14))
times = np.zeros_like(ns, dtype='float')
rep = 10

for count, n in enumerate(ns):
    im = np.random.random((n,n))
    im1 = np.copy(im)

    trials = np.zeros(rep)
    for c in range(rep):
        t = time.time()
        im1 = np.copy(im)
        trials[c] = (time.time()-t)* 1e3 # convert sec to ms

    times[count] = np.median(trials)


    print n, times[count]

plt.plot(ns, times, 'ro')

plt.xscale('log')
plt.yscale('log')

plt.xlabel('Array size (nxn)')
plt.ylabel('Time (sec)')




plt.show()