Method 1: Using yield
The yield keyword enables a function to comeback where it left off when it is called again. This is the critical difference from a regular function. A regular function cannot comes back where it left off. The yield keyword helps a function to remember its state. The yield enables a function to suspend and resume while it turns in a value at the time of the suspension of the execution.
my_list = ['geeks', 'for', 'geeks', 'like', 'geeky','nerdy', 'geek', 'love', 'questions','words', 'life'] # Yield successive n-sized # chunks from l. def divide_chunks(l, n): # looping till length l for i in range(0, len(l), n): yield l[i:i + n] # How many elements each # list should have n = 5 x = list(divide_chunks(my_list, n)) print (x) |
Output:
[['geeks', 'for', 'geeks', 'like', 'geeky'], ['nerdy', 'geek', 'love', 'questions', 'words'], ['life']]
Method 2: Using List comprehension
List comprehension is an elegant way to break a list in one line of code.
my_list = [1, 2, 3, 4, 5, 6, 7, 8, 9] # How many elements each # list should have n = 4 # using list comprehension final = [my_list[i * n:(i + 1) * n] for i in range((len(my_list) + n - 1) // n )] print (final) |
Output:
[[1, 2, 3, 4], [5, 6, 7, 8], [9]]
Alternate Implementation :
l = [1, 2, 3, 4, 5, 6, 7, 8, 9] # How many elements each # list should have n = 4 # using list comprehension x = [l[i:i + n] for i in range(0, len(l), n)] print(x) |
Output:
[[1, 2, 3, 4], [5, 6, 7, 8], [9]]
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.
