Generating random no.-

The random module of numpy library is used to generate random nos. in python.

from numpy import random

x = random.randint(10)

print(x)

Output- 5

It will generate a random integer from 0 to 10.

Generating random float-

The rand() method returns a random float between 0 and 1.

from numpy import random

x = random.rand()

print(x)

Output-

0.5237585580539366

Generating random array-

The randint() method takes a size parameter where we can specify the shape of an array.

Generating a 1-D array having 3 random integers from 0 to 10-

from numpy import random

x=random.randint(10, size=(3))

print(x)

Output-

[3 8 2]

Generating a 2-D array with 2 rows, each row containing 3 random integers from 0 to 10-

from numpy import random

x = random.randint(10, size=(2, 3))

print(x)

Output-

[[1 2 7]
 [1 3 6]]

Generating float arrays-

The rand() method with the specified shape of the array is used to generate float array.

Generating 1-D float array-

from numpy import random

x = random.rand(5)

print(x)

Output-

[0.6918126 0.3412298 0.4600709 0.2848470 0.8970721]

Generate a 2-D array with 3 rows, each row containing 2 random numbers-

from numpy import random

x = random.rand(3, 2)

print(x)

Output-

[[0.95172221 0.31537368]
 [0.17274886 0.87510511]
 [0.74709024 0.17880643]]

Generating random number from array-

The choice() method is used to generate the random value from the array passed to it. It takes an array as a parameter and randomly returns one of the values.

from numpy import random

x = random.choice([1, 2, 3])

print(x)

Output-

3

The choice() method also allows us to return an array of values. Add a size parameter to specify the shape of the array as shown in following example-

Generate a 2-D array that consists of the values in the array parameter (1, 2, 3, and 4)

from numpy import random

x = random.choice([1, 2, 3, 4], size=(2, 3))

print(x)

Output-

[[4 4 1]
 [4 2 4]]