numpy.add() is used when we want to compute the addition of two arrays. This adds the arguments element by element. If the shape of the two arrays is not the same, i.e.
arr1.shape! = Arr2.shape , they must be translatable into a common shape (which can be in the form of one or the other).
Syntax: numpy.add (arr1, arr2, /, out = None, *, where = True, casting = `same_kind`, order = `K`, dtype = None, subok = True [, signature, extobj], ufunc `add`)
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.
- & 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.
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.
Code # 1: Work
1st Input number: 10 2nd Input number: 15 output number after addition: 25
Code # 2:
1st Input array: [[2 -7 5] [-6 2 0]] 2nd Input array: [[5 8 -5] [3 6 9]] output added array: [[7 1 0] [-3 8 9]]
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