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Python – Extract Row with any Boolean True
• Last Updated : 11 Oct, 2020

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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