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Bit-wise OR in NumPy and Pandas

schedule Aug 11, 2023
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The pipe character (`|`) is used to perform a bit-wise OR operation in NumPy and Pandas:

``` import numpy as npx = np.array([True, False, False])y = np.array([True, True, False])x | y array([ True, True, False]) ```

A bit-wise operation returns `True` when there is at least one `True` value - the reason we get `False` for the third element is that the third element in `x` and `y` is `False`.

Note that as long as one operand (either `x` or `y`) is a NumPy array or a Pandas Series, the bit-wise operation would work:

``` np.array([False, False]) | [True,False] array([ True, False]) ```
Published by Isshin Inada
Edited by 0 others
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