Many times we require to find the first occurring non-zero number to begin the processing with. This has mostly use case in Machine Learning domain in which we require to process data excluding None or 0 values. Let’s discuss certain ways in which this can be performed.
Method #1 : Using next() + enumerate()
The next function can be used to iterate through the list and enumerate along with it checks for the list if the number is a non zero element and returns the number of 0s before a True value i.e a non zero value.
# Python3 code to demonstrate # finding first True value # using next() and enumerate() # initializing list test_list = [ 0, 0, 5, 6, 0] # printing original list print ("The original list is : " + str(test_list)) # finding first True value # using next() and enumerate() res = next((i for i, j in enumerate(test_list) if j), None) # printing result print ("The values till first True value : " + str(res)) |
The original list is : [0, 0, 5, 6, 0] The values till first True value : 2
Method #2 : Using filter() + lamda + index()
Using the combination of the above functions, one can easily perform this particular task. The filter function can be used to screen out the True value that is processed by the lambda functions and index function returns the first occurrence of this.
# Python3 code to demonstrate # finding first True value # using filter() + lamda + index() # initializing list test_list = [ 0, 0, 5, 6, 0] # printing original list print ("The original list is : " + str(test_list)) # finding first True value # using filter() + lamda + index() res = test_list.index(next(filter(lambda i: i != 0, test_list))) # printing result print ("The values till first True value : " + str(res)) |
The original list is : [0, 0, 5, 6, 0] The values till first True value : 2
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