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()

Python Tkinter Dictionary Python- Tutorials

Subhendu Mohapatra

Author & Instructor at plus2net

I write and maintain practical tutorials on Python, PHP, SQL, JavaScript, HTML, jQuery, and web development at plus2net. The tutorials focus on clear explanations, working examples, and code that readers can test and adapt while learning.

About the author Watch on YouTube

Connect:

Subscribe to our YouTube Channel here