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This article is about how to use Python Boolean indexes. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.

Description

1. The Boolean index needs to find that the true value of the'A 'column of each row is equal to' foo', and then use these true values to determine which rows to retain.

2. This series is usually named as a truth array mask. For use.

Mask = df ['A'] = 'foo'

We can then use this mask to slice or index the data box

Df [mask] A B C D0 foo one 0 02 foo two 2 44 foo two 4 86 foo one 6 127 foo three 7 14

This is one of the easiest ways to accomplish this task, and if performance or intuition is not a problem, it should be your choice. However, if performance is a problem, you may need to consider another way to create mask.

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