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Python is a very useful tool for data analysis. When we deal with real-life situations, we have to generate random values ​​to simulate the situation and process it.

randomPython has the and modules available NumPywhich have efficient methods to work and generate random numbers easily.

In this tutorial, we will generate some random integers between a specific range in Python.

random.randint()Generate random integers between a specific range using the function in Python

randint()The function is used to generate random integers between a specified range. The starting and ending positions are passed as parameters to the function.

For example,

import random

x = random.randint(0, 10)
print(x)

Output:

8

To use this function to generate a list of random numbers, we can foruse the list comprehension method with a loop, like this:

import random

x = [random.randint(0, 9) for p in range(0, 10)]
print(x)

Output:

[1, 6, 6, 5, 8, 8, 5, 5, 8, 4]

Note that this method accepts only integer values.

random.randrange()Generate random integers between a specific range using the function in Python

randrange()The function also returns a random number within a range and only accepts integer values, but here we have the option to specify a very useful parameter called step. stepThe parameter allows us to find random numbers that are divisible by a specific number. By default, this parameter is 1.

For example,

import random

x = random.randrange(0, 10, 2)
print(x)

Output:

4

Notice that the output is divisible by 2. Using the same list comprehension method, we can use this function to generate a list of random numbers as shown below.

import random

x = [random.randrange(0, 10, 2) for p in range(0, 10)]
print(x)

Output:

[8, 0, 6, 2, 0, 6, 8, 6, 0, 4]

random.sample()Generate random integers between a specific range using the function in Python

Using this function, we can specify the range and total number of random numbers to be generated. It also ensures that there are no duplicate values. The following example shows how to use this function.

import random

x = random.sample(range(10), 5)
print(x)

Output:

[7, 8, 5, 9, 6]

NumPyGenerate random integers between a specific range in Python using the module

NumPyThe module also has three functions that can be used to accomplish this task and generate the required number of random integers and store them in a numpy array.

These functions are numpy.random.randint(), , numpy.random.choice()and numpy.random.uniform(). The following code shows how to use these functions.

For example,

import numpy as np

x1 = np.random.randint(low=0, high=10, size=(5,))
print(x1)

x2 = np.random.uniform(low=0, high=10, size=(5,)).astype(int)
print(x2)

x3 = np.random.choice(a=10, size=5)
print(x3)

Output:

[3 2 2 2 8]
[8 7 9 2 9]
[0 7 4 1 4]