Skip to content
Related Articles

Related Articles

Improve Article
Python | Values Frequency till Maximum K
  • Last Updated : 27 Feb, 2020

One of the problem that is basically a subproblem for many complex problem, finding numbers smaller than certain number in list in python, is commonly encountered and this particular article discusses possible solutions to this particular problem.

Method 1 : Naive method
The most common way this problem can be solved is using loop and just counting the occurrences of elements that are smaller than the given number K.




# Python 3 code to demonstrate 
# Values Frequency till Maximum K
# using naive method 
  
# initializing list
test_list = [1, 7, 5, 6, 3, 8]
  
# initializing k
k = 4
  
# printing list 
print ("The list : " + str(test_list))
  
# using naive method 
# to get numbers < k
count = 0
for i in test_list :
    if i < k :
        count = count + 1
  
# printing the result
print ("The numbers smaller than 4 : " + str(count))
Output :
The list : [1, 7, 5, 6, 3, 8]
The numbers smaller than 4 : 2

 

Method 2 : Using sum()
The sum() can also help us achieving this task. We can return 1 when the number smaller than k is found and then compute the summation of is using sum().






# Python 3 code to demonstrate 
# Values Frequency till Maximum K
# using sum()
  
# initializing list
test_list = [1, 7, 5, 6, 3, 8]
  
# initializing k
k = 4
  
# printing list 
print ("The list : " + str(test_list))
  
# using sum()
# to get numbers < k
count = sum(i < k for i in test_list)
  
# printing the result
print ("The numbers smaller than 4 : " + str(count))
Output :
The list : [1, 7, 5, 6, 3, 8]
The numbers smaller than 4 : 2

 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




My Personal Notes arrow_drop_up
Recommended Articles
Page :