Array attributes

import numpy as np

def test_run():
	a = np.random.random((5, 4))
	print a
	print a.shape

if __name__ == "__main__":
	test_run()

import numpy as np

def test_run():
	a = np.random.random((5, 4))
	print a.size

if __name__ == "__main__":
	test_run()

import numpy as np

def test_run():
	np.random.seed(693)
	a = np.random.randint(0, 10, size=(5, 4))
	print "Array:\n", a

if __name__ == "__main__":
	test_run()

Locate maximum value

import numpy as np

def get_max_index(a):
	return a.argmax()

def test_run():
	a = np.array([9, 6, 2, 3, 12, 14, 7, 10], dtype=np.int32)
	print "Array:", a

	print "Maximum value", a.max()
	print "Index of max.:", get_max_index(a)


if __name__ == "__main__":
	test_run()

Timing python operations

import time

def time_run():
	t1 = time.time()
	print "ML4T"
	t2 = time.time()
	print "The time taken by print statement is ",t2 - t1," seconds"

if __name__ == "__main__":
	test_run()

Accessing array element

import numpy as np

def test_run():
	a = np.random.rand(5, 4)
	print "Array:\n", a

	element = a[3, 2]
	print element

if __name__ == "__main__":
	test_run()

Indexing an array with another array

import numpy as np

def test_run():
	a = np.random.rand(5)
	indices = np.array([1,1,2,3])
	print a[indices]

if __name__ == "__main__":
	test_run()