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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

 `# 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

 `# 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]]```

You can also use the += operator to perform in-place addition of two arrays or a scalar and an array. This modifies the first array instead of creating a new one.

#code 3

The numpy.add() function is a part of the NumPy library in Python, and can be used to add two arrays element-wise. Here’s an example

Python3

 `import` `numpy as geek` `# Define two arrays``a ``=` `geek.array([``1``, ``2``, ``3``])``b ``=` `geek.array([``4``, ``5``, ``6``])` `# Add the arrays element-wise``c ``=` `geek.add(a, b)` `# Print the result``print``(c)`

The time complexity of numpy.add() depends on the size of the arrays being added. If the arrays have n elements, the time complexity of the add() function is O(n), since it needs to iterate through each element in both arrays.

The space complexity of numpy.add() is O(n), as it creates a new array to store the result of the addition.

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