Glimpse Of Numpy Python, Python

Glimpse Of Numpy Python

import numpy as np

#create numpy one dimensiona array
my_list = [1,2,3]
my_arr = np.array(my_list)
print 'One Dimension Numpy Array ==> ', my_arr
#create a function that will make one dimesion numpy array

def OneDArray(*items):
    my_arr = np.array(items)
    print 'One Dimension Array \n', my_arr

#create numpy three dimension array
my_mat = [[1,2,3],[4,5,6],[7,8,9]]
print "Three dimesnion arry ==> \n", np.array(my_mat)

#numpy arange function
print 'Numpy arange function ==> ', np.arange(0,11,2)

#numpy zeros
print "Number zeros ==> \n", np.zeros(10)

print np.zeros((4,3))

# numpy ones
print "Numpy ones ==> \n" ,np.ones((4,3))

# numpy linspace
print 'Numpy linspace ==> \n', np.linspace(0, 5, 10)

# numpy diagonal matrix
print 'Digonal Matrix ==> \n', np.eye(3)

#numpy uniform random number
print 'Unifor random number ==> \n', np.random.rand(3,4)

# numpy  non-uniform random number
print 'Non-Uniform ==> \n', np.random.randn(5)

#numpy random integer
print 'Ranndom Integer ==> \n', np.random.randint(1,100,10)

#numpy reshape
arr = np.arange(25)
print arr.reshape(5,5)


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