What is numpy.add() in Python?

numpy.add() Syntax

Syntax : numpy.add(arr1, arr2, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj], ufunc ‘add’)  Parameters :  arr1 : [array_like or scalar] Input array.  arr2 : [array_like or scalar] Input array. out : [ndarray, optional] A location into which the result is stored.   -> If provided, it must have a shape that the inputs broadcast to.   -> If not provided or None, a freshly-allocated array is returned.  where : [array_like, optional] Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.  **kwargs :Allows to pass keyword variable length of argument to a function. Used when we want to handle named argument in a function. Return : [ndarray or scalar] The sum of arr1 and arr2, element-wise. Returns a scalar if both arr1 and arr2 are scalars....

What is numpy.add() in Python?

NumPy’s numpy.add() is a function that performs element-wise addition on NumPy arrays. This means it adds the corresponding elements between two arrays, element by element, instead of treating them as single values. numpy.add() function is used when we want to compute the addition of two arrays. It adds arguments element-wise. If the shape of two arrays is not the same, that is arr1. shape != arr2.shape, they must be broadcastable to a common shape (which may be the shape of one or the other)....

Add Elements in Numpy Arrays

Here are the different example of Add Elements in Numpy Array using numpy.add() with different example below:...