Python – N Random Tuples list

Sometimes, while working with Python records, we can have a problem in which we need to construct a random tuple list. This can have applications in many domains using gaming and day-to-day programming. Let’s discuss specific ways in which this task can be performed in Python.

Input:  N = 4 R = 6 
Output: [(5, 6), (1, 0), (1, 3), (2, 3)] 

Input:  N = 8 R = 4 
Output: [(2, 3), (4, 1), (2, 0), (4, 3), (4, 2), (0, 2), (1, 4), (0, 1)] 

Explanation: In this, we are printing N Random Tuple List in Python.

Randomly select an item from a tuple using list comprehension + sample()

This is one of the ways in which this task can be performed. In this, random number generation takes place using sample() which, when given pool of numbers extracts random numbers for forming pairs, which are paired using list comprehension.

Output:

The N random tuples : [(10, 9), (7, 4), (1, 10), (9, 10), (7, 5)]

Randomly select an item from a tuple using Product() + Sample()

The combination of above functions can be used to solve this problem. In this, we perform task of producing numbers in a range using product() and sample() is used to extract N random numbers from them.

Output:

The N random tuples :[(4, 5), (10, 0), (2, 7), (5, 2), (8, 0)]

Randomly select an item from a tuple using randint()+lambda

To generate and print N random tuples using the randint() function along with a lambda function, you can use the random module in Python. This approach allows you to create random tuples with specified ranges and sizes using a lambda function. Define an anonymous function (generate_tuple) that generates a random tuple of two elements, where each element is a random integer between 0 (inclusive) and R (inclusive). Create a list comprehension to generate N random tuples using the generate_tuple function.

Output:

[(2, 3), (1, 3), (5, 2), (1, 6)]

Time Complexity: O(N), where N is no of tuples
Space Complexity: O(N), where N is no of tuples