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Python | Remove None values from list
  • Last Updated : 03 Jan, 2019

Due to the upcoming of Machine Learning, the focus has now moved on handling the None values than ever before, the reason behind this is that it is the essential step of data preprocessing before it is fed into further techniques to perform. Hence, removal of None values in essential and knowledge of it is a must. Let’s discuss certain ways in which this is achieved.

Method #1 : Naive Method
In naive method, we iterate through the whole list and append all the filtered, non-None values into a new list, hence ready to be performed with subsequent operations.

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# Python3 code to demonstrate 
# removing None values in list
# using naive method 
  
# initializing list
test_list = [1, None, 4, None, None, 5, 8, None]
  
# printing original list 
print ("The original list is : " + str(test_list))
  
# using naive method 
# to remove None values in list
res = []
for val in test_list:
    if val != None :
        res.append(val)
  
# printing result
print ("List after removal of None values : " +  str(res))

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Output:

The original list is : [1, None, 4, None, None, 5, 8, None]
List after removal of None values : [1, 4, 5, 8]

 
Method #2 : Using list comprehension
The longer task of using the naive method and increasing line of codes can be done in a compact way using this method. We just check for True values and construct the new filtered list.

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# Python3 code to demonstrate 
# removing None values in list
# using list comprehension
  
# initializing list
test_list = [1, None, 4, None, None, 5, 8, None]
  
# printing original list 
print ("The original list is : " + str(test_list))
  
# using list comprehension
# to remove None values in list
res = [i for i in test_list if i]
  
# printing result
print ("List after removal of None values : " +  str(res))

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Output:



The original list is : [1, None, 4, None, None, 5, 8, None]
List after removal of None values : [1, 4, 5, 8]

 
Method #3 : Using filter()
filter function is the most concise and readable way to perform this particular task. It checks for any None value in list and removes them and form a filtered list without the None values.

filter_none

edit
close

play_arrow

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code

# Python3 code to demonstrate 
# removing None values in list
# using filter()
  
# initializing list
test_list = [1, None, 4, None, None, 5, 8, None]
  
# printing original list 
print ("The original list is : " + str(test_list))
  
# using filter()
# to remove None values in list
res = list(filter(None, test_list))
  
# printing result
print ("List after removal of None values : " +  str(res))

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Output:

The original list is : [1, None, 4, None, None, 5, 8, None]
List after removal of None values : [1, 4, 5, 8]

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