Python Random Choices Method

Home /

Table of Contents

Random.choice()

random.choice()‘ is a function in the ‘random‘ module in Python. It returns a random item from a non-empty sequence (such as a list, tuple, or string). The function takes the sequence as an argument and returns a randomly selected item from it.

To select an item from a list randomly

You can use the ‘random.choice()‘ function from the ‘random‘ module to randomly select an item from a list in Python. For example:

Python
import random
my_list = [1, 2, 3, 4, 5]
random_item = random.choice(my_list)

Overall, ‘random.choice()‘ is a useful function for generating random data and adding randomness to your programs.

Random.Choice() for Testing and Debugging Programs Input

random.choice() is a function from the random module in Python that returns a random element from a sequence. You can use random.choice() for testing and debugging programs that require input by generating random input.

Here’s an example of how you can use random.choice() to generate random input for a function:

Python
import random

# A function that takes a list as input and returns the sum of its elements
def sum_list(lst):
    return sum(lst)

# Generate a random list of integers using random.choice
lst = [random.choice(range(10)) for _ in range(5)]

# Call the function with the random input
result = sum_list(lst)

# Print the input and output for debugging
print(f"Input: {lst}")
print(f"Output: {result}")

In this example, we define a function ‘sum_list‘ that takes a list as input and returns the sum of its elements. We then use random.choice() to generate a random list of integers with values between 0 and 9, and of length 5. We call the ‘sum_list‘ function with this random input and store the result in the ‘result‘ variable. Finally, we print the input and output for debugging purposes.

By running this code multiple times, we can generate different random inputs and test how the ‘sum_list‘ function performs with different inputs. This can help identify any bugs or issues with the function that may not have been apparent with only a few manually chosen inputs.

Note that random.choice() can be used with any sequence, not just ‘range‘. You can use it with lists, tuples, or any other iterable object. Additionally, you can use random.randint() to generate random integers within a specific range, if needed.

Shuffling a List or Other Sequence to Generate a Random Order

To shuffle a list or other sequence in Python to generate a random order, you can use the random.shuffle() function from the ‘random‘ module. The shuffle() function takes a list or any other mutable sequence as input and shuffles its elements randomly.

Here’s an example of how to shuffle a list in Python:

Python
import random

# Define a list
my_list = [1, 2, 3, 4, 5]

# Shuffle the list
random.shuffle(my_list)

# Print the shuffled list
print(my_list)

In this example, we first define a list ‘my_list‘ with some elements. We then use the shuffle() function to shuffle the list in-place. Finally, we print the shuffled list to verify that its elements are in a random order.

Note that the shuffle() function shuffles the list in-place, which means that it modifies the original list and does not return a new list. If you want to keep the original list unchanged and create a shuffled copy, you can use the random.sample() function, which returns a new list with the elements randomly sampled from the original list:

Python
import random

# Define a list
my_list = [1, 2, 3, 4, 5]

# Create a shuffled copy of the list
shuffled_list = random.sample(my_list, len(my_list))

# Print the shuffled list
print(shuffled_list)

In this example, we use the sample() function to create a new list ‘shuffled_list‘ with the same elements as ‘my_list‘, but in a random order. Note that we pass ‘len(my_list)‘ as the second argument to sample(), which specifies the number of elements to sample from the list. In this case, we sample all the elements of the list to create a shuffled copy.

Share The Tutorial With Your Friends
Twiter
Facebook
LinkedIn
Email
WhatsApp
Skype
Reddit

Check Our Ebook for This Online Course

Advanced topics are covered in this ebook with many practical examples.

Other Recommended Article