# NumPy - mod() function

The NumPy mod() function returns element-wise remainder of division. The syntax for using this function is given below:

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

### Syntax

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

### Parameters

 `x1, x2` `Required. `Specify arrays to be divided: x1 as dividend and x2 as divisor. 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 remainder of division of x1 and x2, element-wise.

### Example:

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

```import numpy as np
Arr1 = np.array([[10,20],[30,40]])
Arr2 = np.array([[6,7]])
Arr3 = np.array([,])
Arr4 = np.array([[4,7],[5,9]])

#remainder when each element of Arr1
#is divided by 5
print("mod(Arr1, 5) returns:")
print(np.mod(Arr1, 5))

#remainder when Arr1 is divided by Arr2
print("\nmod(Arr1, Arr2) returns:")
print(np.mod(Arr1, Arr2))

#remainder when Arr1 is divided by Arr3
print("\nmod(Arr1, Arr3) returns:")
print(np.mod(Arr1, Arr3))

#remainder when Arr1 is divided by Arr4
print("\nmod(Arr1, Arr4) returns:")
print(np.mod(Arr1, Arr4))
```

The output of the above code will be:

```mod(Arr1, 5) returns:
[[0 0]
[0 0]]

mod(Arr1, Arr2) returns:
[[4 6]
[0 5]]

mod(Arr1, Arr3) returns:
[[4 2]
[2 5]]

mod(Arr1, Arr4) returns:
[[2 6]
[0 4]]
```

❮ NumPy - Functions

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