Python – False values Frequency

Checking a number/element by a condition is a common problem one faces and is done in almost every program. Sometimes we also require to get the totals that match the particular condition to have a distinguish which to not match for further utilization like in data Science. Lets discuss certain ways in which we can count False values.

Method #1 : Using sum() + generator expression
This method uses the trick of adding 1 to the sum whenever the generator expression returns true. By the time list gets exhausted, summation of count of numbers matching a condition is returned.

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# Python 3 code to demonstrate 
# False values Frequency
# using sum() + generator expression 
  
# initializing list 
test_list = [3, False, False, 6, False, 9
  
# printing original list 
print ("The original list is : " + str(test_list)) 
  
# using sum() + generator expression 
# False values Frequency
# checks for False
res = sum(1 for i in test_list if not i) 
  
# printing result 
print ("The number of False elements: " + str(res)) 

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Output :



The original list is : [3, False, False, 6, False, 9]
The number of False elements: 3

 

Method #2 : Using sum() + map()
map() does the task almost similar to the generator expression, difference is just the internal data structure employed by it is different hence more efficient.

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# Python 3 code to demonstrate 
# False values Frequency
# using sum()+ map() 
  
# initializing list 
test_list = [3, False, False, 6, False, 9
  
# printing original list 
print ("The original list is : " + str(test_list)) 
  
# using sum()+ map() 
# False values Frequency
# checks for False
res = sum(map(lambda i: not i, test_list)) 
  
# printing result 
print ("The number of False elements: " + str(res)) 

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Output :

The original list is : [3, False, False, 6, False, 9]
The number of False elements: 3



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