Given a Boolean Matrix, extract row which contains at least one boolean True value.
Input : test_list = [[False, False], [True, True, True], [False, True], [False]]
Output : [[True, True, True], [False, True]]
Explanation : All rows with atleast 1 True extracted.Input : test_list = [[False, False], [False]]
Output : []
Explanation : No rows with even one True.
Method #1 : Using list comprehension + any()
In this, we check for any element to be boolean true using any() and list comprehension is used for task of iteration of rows in matrix.
Python3
# Python3 code to demonstrate working of # Extract Row with any Boolean True # Using list comprehension + any() # initializing list test_list = [[False, False], [True, True, True], [False, True], [False]] # printing original list print("The original list is : " + str(test_list)) # using any() to check for any True value res = [sub for sub in test_list if any(ele for ele in sub)] # printing result print("Extracted Rows : " + str(res)) |
Output:
The original list is : [[False, False], [True, True, True], [False, True], [False]] Extracted Rows : [[True, True, True], [False, True]]
Method #2 : Using any() + filter() + lambda
In this, we perform task of checking for any True value using any() and filter() and lambda is used to filter out matching rows.
Python3
# Python3 code to demonstrate working of # Extract Row with any Boolean True # Using any() + filter() + lambda # initializing list test_list = [[False, False], [True, True, True], [False, True], [False]] # printing original list print("The original list is : " + str(test_list)) # using any() to check for any True value # filter() to perform filtering res = list(filter(lambda sub : any(ele for ele in sub), test_list)) # printing result print("Extracted Rows : " + str(res)) |
Output:
The original list is : [[False, False], [True, True, True], [False, True], [False]] Extracted Rows : [[True, True, True], [False, True]]
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