Sometimes we come across the situations in which we require to apply a particular function to each elements of two lists at similar index. Most popular of them are 4 of the elementary mathematics operations. These are quite similar and come up as application for certain utilities. Let’s discuss certain ways in which the division of two lists can be performed.
Method #1 : Using zip() + list comprehension
The zip operation can be used to link one list with the other and the computation part can be handled by the list comprehension and hence providing a shorthand to this particular problem.
# Python3 code to demonstrate # division of lists # using zip() + list comprehension # initializing lists test_list1 = [3, 5, 2, 6, 4] test_list2 = [7, 3, 4, 1, 5] # printing original lists print ("The original list 1 is : " + str(test_list1)) print ("The original list 2 is : " + str(test_list2)) # division of lists # using zip() + list comprehension res = [i / j for i, j in zip(test_list1, test_list2)] # printing result print ("The division list is : " + str(res)) |
The original list 1 is : [3, 5, 2, 6, 4] The original list 2 is : [7, 3, 4, 1, 5] The division list is : [0.42857142857142855, 1.6666666666666667, 0.5, 6.0, 0.8]
Method #2 : Using map()
Using map function is most elegant way in which we can possibly perform the twining of a function with both the lists. Different operations other than division can also be applied over it.
# Python3 code to demonstrate # division of lists # using map() from operator import truediv # initializing lists test_list1 = [3, 5, 2, 6, 4] test_list2 = [7, 3, 4, 1, 5] # printing original lists print ("The original list 1 is : " + str(test_list1)) print ("The original list 2 is : " + str(test_list2)) # division of lists # using map() res = list(map(truediv, test_list1, test_list2)) # printing result print ("The division list is : " + str(res)) |
The original list 1 is : [3, 5, 2, 6, 4] The original list 2 is : [7, 3, 4, 1, 5] The division list is : [0.42857142857142855, 1.6666666666666667, 0.5, 6.0, 0.8]
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.
