import numpy as np

a = np.array([1, 2, 3, 10])

print a

b = np.array([[1, 2, 3, 4], [5, 6, 7, 10.0]], dtype=np.float32)

b

b.dtype

z = np.zeros((3, 3),dtype=np.int32)
print z

o = np.ones((3, 3))
print o

a = np.arange(1, 2, 0.01)
print a

np.linspace(1, 2, num=50, endpoint=False)

a = np.arange(10)

a

a[5:8]

a = np.arange(10).reshape((2, 5))
print a

a[1, :]

a[(a < 3) & (a > 1)]

b = np.arange(10, 20).reshape((2, 5))
print b

b[a > 5]

a > 5

a[a > 5] *= 2
print a

np.where(a > 5)

b[np.where(a > 5)]

a = np.arange(10)
a = a * 2
print a

np.arange(10) * np.arange(10, 20)

a = np.arange(8).reshape((4, 2))

a

a * np.array([2, 3])

a * np.array([[2], [3], [5], [6]])

a * np.array([[1, 2], [3, 4]])

a

np.sin(a)

a

a.shape

a.size

a.dtype

a.nbytes

a.reshape((2,4))

a.argsort()

a.min()

a.max()

print a.mean(), a.sum(), a.std(), a.prod()

np.mean([1, 2, 3, 4])

np.random.permutation(np.arange(10))

np.random.random((2, 2))

np.random.random_integers(5, 10, 5)

import numpy.ma as ma

a = ma.masked_greater(np.random.random(10), 0.5)

a

print a.mean(), a.max()

a[0] = ma.masked
print a

a[0] = 1.0
print a

a.filled()

a = np.arange(10)
b = np.arange(5, 25, 2)

b.shape

print a
print b

a == b

np.allclose(a, b)

a[1] = 7

(a == b).any()

(a == b).all()

np.testing.assert_allclose(a, b)