The NumPy multiply() function is used to multiply 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.multiply(x1, x2, out=None)
```

### Parameters

 `x1, x2` `Required. `Specify the arrays to be multiplied. 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 product of x1 and x2, element-wise.

### Example:

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

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

#multiply each element of Arr1 with 5
print("multiply(Arr1, 5) returns:")
print(np.multiply(Arr1, 5))

#multiplying elements of Arr1 with Arr2
print("\nmultiply(Arr1, Arr2) returns:")
print(np.multiply(Arr1, Arr2))

#multiplying elements of Arr1 with Arr3
print("\nmultiply(Arr1, Arr3) returns:")
print(np.multiply(Arr1, Arr3))

#multiplying elements of Arr1 with Arr4
print("\nmultiply(Arr1, Arr4) returns:")
print(np.multiply(Arr1, Arr4))
```

The output of the above code will be:

```multiply(Arr1, 5) returns:
[[ 50 100]
[150 200]]

multiply(Arr1, Arr2) returns:
[[ 20  60]
[ 60 120]]

multiply(Arr1, Arr3) returns:
[[ 20  40]
[ 90 120]]

multiply(Arr1, Arr4) returns:
[[ 20  60]
[120 200]]
```