Numpy random.randint to get random integers with specified high and low limits with size and datatype

We get random integers or array of random integers based on the supplied parameters ( below ).

`low`	Int, Lowest integer ( inclusive ) returned
`high`	Int,Optional, Highest value ( exclusive ) returned
`size`	Int,Optional, int or tupple of ints of returned
`dtype`	Dtype,Optional, Data Type of returned

Output is integer or array of integers based on the input parameters.

Example with low

import numpy as np
my_data=np.random.randint(4)
print(my_data) #3

Example with low and high value

my_data=np.random.randint(4,10) # 8

With low, high and size

my_data=np.random.randint(4,10,size=5)
print(my_data)

Output

[6 4 4 4 5]

We will use one tuple as size parameter

my_data=np.random.randint(4,high=10,size=(3,2)) 
print(my_data)

Output

[[5 8]
 [8 7]
 [5 6]]

Using dtype

import numpy as np
my_data=np.random.randint(4,high=7,size=(3,3),dtype='int16') 
print(my_data)

Output

[[6 4 5]
 [5 6 6]
 [4 6 5]]

Random RGB colour generator

color = tuple(np.random.choice(range(256), size=3))

Numpy rand() randn()

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Subhendu Mohapatra

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