numpy.bitwise_or() is used to calculate the bitwise OR of two arrays element by element. This function computes the bitwise OR of the base binary representation of integers in the input arrays.
Syntax: numpy.bitwise_or (arr1, arr2, /, out = None, *, where = True, casting = `same_kind`, order = `K`, dtype = None, ufunc `bitwise_or`)
arr1: strong> [array_like] Input array.
arr2: [array_like] Input array.
out: [ndarray, optional] A location into which the result is stored.
- & gt; If provided, it must have a shape that the inputs broadcast to.
- & gt; If not provided or None, a freshly-allocated array is returned.
** kwargs: allows you to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function.
where: [array_like, optional] True value means to calculate the universal functions (ufunc) at that position, False value means to leave the value in the output alone.
Return: [ndarray or scalar] Result. This is a scalar if both x1 and x2 are scalars.
Code # 1: Work
Input number1: 10 Input number2: 11 bitwise_or of 10 and 11: 11
Code # 2:
| tr> |
Input array1: [True, False, True, False] Input array2: [False, False, True, True] Output array after bitwise_or: [True False True True]
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