The NumPy add() function is used to add arguments element-wise. The syntax for using this function is given below:

Note: It is equivalent to x1 + x2 in terms of array broadcasting.

### Syntax

```numpy.add(x1, x2, out=None)
```

### Parameters

 `x1, x2` `Required. `Specify the arrays to be added. If x1.shape != x2.shape, they must be broadcastable to a common shape. `out` `Optional. `Specify 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.

### Return Value

Returns sum of x1 and x2, element-wise.

### Example:

The below example shows the usage of add() function.

```import numpy as np
Arr1 = np.array([[10,20],[30,40]])
Arr2 = np.array([[2,3]])
Arr3 = np.array([[2],[3]])
Arr4 = np.array([[2,3],[4,5]])

#add 5 to each element of Arr1
print("add(Arr1, 5) returns:")
print(np.add(Arr1, 5))

#add elements of Arr1 and Arr2
#Arr1 and Arr2 are broadcastable
print("\nadd(Arr1, Arr2) returns:")
print(np.add(Arr1, Arr2))

#add elements of Arr1 and Arr3
#Arr1 and Arr3 are broadcastable
print("\nadd(Arr1, Arr3) returns:")
print(np.add(Arr1, Arr3))

#add elements of Arr1 and Arr4
print("\nadd(Arr1, Arr4) returns:")
print(np.add(Arr1, Arr4))
```

The output of the above code will be:

```add(Arr1, 5) returns:
[[15 25]
[35 45]]

add(Arr1, Arr2) returns:
[[12 23]
[32 43]]

add(Arr1, Arr3) returns:
[[12 22]
[33 43]]

add(Arr1, Arr4) returns:
[[12 23]
[34 45]]
```