numpy.add() function is used when we want to compute the addition of two array. It add arguments element-wise. If shape of two arrays are not 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).

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.

Code #1 : Working

 # Python program explaining # numpy.add() function # when inputs are scalar    import numpy as geek in_num1 = 10 in_num2 = 15    print ("1st Input  number : ", in_num1) print ("2nd Input  number : ", in_num2)      out_num = geek.add(in_num1, in_num2)  print ("output number after addition  : ", out_num)

Output :

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

Code #2 :

 # Python program explaining # numpy.add() function # when inputs are array    import numpy as geek    in_arr1 = geek.array([[2, -7, 5], [-6, 2, 0]]) in_arr2 = geek.array([[5, 8, -5], [3, 6, 9]])     print ("1st Input array : ", in_arr1)  print ("2nd Input array : ", in_arr2)       out_arr = geek.add(in_arr1, in_arr2)  print ("output added array : ", out_arr)

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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