Arrays | NumPy | Python Methods and Functions

** 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`)

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.

- & 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 **

` ` |

** Output: **

1st Input number: 10 2nd Input number: 15 output number after addition: 25

** Code # 2: **

` ` |

** Output: **

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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