Skip to content
Related Articles

Related Articles

Improve Article

Python – Elements frequency count in multiple lists

  • Last Updated : 06 Mar, 2020

Sometimes while working with Python lists we can have a problem in which we need to extract the frequency of elements in list. But this can be added work if we have more than 1 list we work on. Lets discuss certain ways in which this task can be performed.

Method #1 : Using dictionary comprehension + set() + count()
This is one of the way in which this task can be performed. In this, we perform the task of counting using count() and set() and the extension of logic is done using dictionary comprehension.

 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. And to begin with your Machine Learning Journey, join the Machine Learning - Basic Level Course




# Python3 code to demonstrate 
# Elements frequency count in multiple lists
# using set() + count() + dictionary comprehension
  
# Initializing lists
test_list1 = [1, 3, 2, 4, 5, 1, 2]
test_list2 = [4, 1, 4, 3, 4, 2, 4]
test_list3 = [1, 4, 5, 3, 4, 5, 4]
  
# printing original lists
print("The original list 1 is : " + str(test_list1))
print("The original list 2 is : " + str(test_list2))
print("The original list 3 is : " + str(test_list3))
  
# Elements frequency count in multiple lists
# using set() + count() + dictionary comprehension
res = {idx : [test_list1.count(idx), test_list2.count(idx), test_list3.count(idx)]
      for idx in set(test_list1 + test_list2 + test_list3)}
              
# printing result 
print ("The frequency of each element is : " + str(res))
Output :



The original list 1 is : [1, 3, 2, 4, 5, 1, 2]
The original list 2 is : [4, 1, 4, 3, 4, 2, 4]
The original list 3 is : [1, 4, 5, 3, 4, 5, 4]
The frequency of each element is : {1: [2, 1, 1], 2: [2, 1, 0], 3: [1, 1, 1], 4: [1, 4, 3], 5: [1, 0, 2]}

 

Method #2 : Using Counter() + map() + dictionary comprehension
The combination of above functionalities can be used to solve this problem. In this, the task of finding the frequency is done using Counter() and map().




# Python3 code to demonstrate 
# Elements frequency count in multiple lists
# using map() + Counter() + dictionary comprehension
from collections import Counter
  
# Initializing lists
test_list1 = [1, 3, 2, 4, 5, 1, 2]
test_list2 = [4, 1, 4, 3, 4, 2, 4]
test_list3 = [1, 4, 5, 3, 4, 5, 4]
  
# printing original lists
print("The original list 1 is : " + str(test_list1))
print("The original list 2 is : " + str(test_list2))
print("The original list 3 is : " + str(test_list3))
  
# Elements frequency count in multiple lists
# using map() + Counter() + dictionary comprehension
freq = list(map(Counter, (test_list1, test_list2, test_list3)))
res = {ele: [cnt[ele] for cnt in freq] for ele in {ele for cnt in freq for ele in cnt}}
              
# printing result 
print ("The frequency of each element is : " + str(res))
Output :

The original list 1 is : [1, 3, 2, 4, 5, 1, 2]
The original list 2 is : [4, 1, 4, 3, 4, 2, 4]
The original list 3 is : [1, 4, 5, 3, 4, 5, 4]
The frequency of each element is : {1: [2, 1, 1], 2: [2, 1, 0], 3: [1, 1, 1], 4: [1, 4, 3], 5: [1, 0, 2]}




My Personal Notes arrow_drop_up
Recommended Articles
Page :