w3resource

Python: Flatten a given nested list structure

Python List: Exercise - 72 with Solution

Write a Python program to flatten a given nested list structure.

Sample Solution-1:

Python Code:

# Define a function 'flatten_list' that takes a nested list 'n_list' as input
def flatten_list(n_list):
    # Initialize an empty list 'result_list' to store the flattened elements
    result_list = []

    # Check if 'n_list' is empty; if so, return an empty result list
    if not n_list:
        return result_list

    # Create a stack to keep track of nested lists; start with 'n_list' as the initial item in the stack
    stack = [list(n_list)]

    # Iterate while the stack is not empty
    while stack:
        # Pop the current list 'c_num' from the stack
        c_num = stack.pop()

        # Pop the next item from 'c_num'
        next = c_num.pop()

        # If 'c_num' is not empty, push it back onto the stack
        if c_num:
            stack.append(c_num)

        # Check if 'next' is a list
        if isinstance(next, list):
            # If 'next' is a non-empty list, push it onto the stack
            if next:
                stack.append(list(next))
        else:
            # If 'next' is not a list, add it to 'result_list'
            result_list.append(next)

    # Reverse 'result_list' to maintain the original order of elements
    result_list.reverse()

    # Return the flattened list
    return result_list

# Define a nested list 'n_list' with various sublists
n_list = [0, 10, [20, 30], 40, 50, [60, 70, 80], [90, 100, 110, 120]]

# Print a message indicating the purpose of the following output
print("Original list:")

# Print the original nested list 'n_list'
print(n_list)

# Print a message indicating the purpose of the following output
print("\nFlatten list:")

# Call the 'flatten_list' function with 'n_list' as an argument and print the flattened result
print(flatten_list(n_list)) 

Sample Output:

Original list:
[0, 10, [20, 30], 40, 50, [60, 70, 80], [90, 100, 110, 120]]

Flatten list:
[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120]

Flowchart:

Flowchart: Flatten a given nested list structure.

Sample Solution-2:

Loop over elements, use list.extend() if the element is a list, list.append() otherwise.

Python Code:

# Define a function 'flatten_list' that takes a nested list 'nums' as input
def flatten_list(nums):
    # Initialize an empty list 'result' to store the flattened elements
    result = []

    # Iterate through each element 'i' in the input list 'nums'
    for i in nums:
        # Check if 'i' is a list; if so, extend 'result' with its elements, otherwise, append 'i' to 'result'
        result.extend(i) if isinstance(i, list) else result.append(i)

    # Return the flattened list
    return result

# Define a nested list 'n_list' with various sublists
n_list = [0, 10, [20, 30], 40, 50, [60, 70, 80], [90, 100, 110, 120]]

# Print a message indicating the purpose of the following output
print("Original list:")

# Print the original nested list 'n_list'
print(n_list)

# Print a message indicating the purpose of the following output
print("\nFlatten list:")

# Call the 'flatten_list' function with 'n_list' as an argument and print the flattened result
print(flatten_list(n_list))

Sample Output:

Original list:
[0, 10, [20, 30], 40, 50, [60, 70, 80], [90, 100, 110, 120]]

Flatten list:
[0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120]

Flowchart:

Flowchart: Flatten a given nested list structure.

Python Code Editor:

Previous: Write a Python program to check whether all dictionaries in a list are empty or not.
Next: Write a Python program to remove consecutive (following each other continuously) duplicates (elements) of a given list.

What is the difficulty level of this exercise?

Test your Programming skills with w3resource's quiz.



Become a Patron!

Follow us on Facebook and Twitter for latest update.

It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.

https://198.211.115.131/python-exercises/list/python-data-type-list-exercise-72.php