#       
## Overview
The **`numpy.ascontiguousarray()` function** is used to return a contiguous array where the dimension of the array is greater or equal to 1 and stored in memory (C order).

>Note: A contiguous array is stored in an unbroken block of memory. To access the subsequent value in the array, we move to the next memory address.

## Syntax
```python
numpy.ascontiguousarray(a, dtype=None)
```

## Parameters
The `numpy.ascontiguousarray()` function takes the following parameter values:
* **`a`**: This represents the input array.
* **`dtype`**: This represents the data type of the desired array. This is optional.


## Return value 
The `numpy.ascontiguousarray()` function returns a contiguous array with the same shape and data type as the input array.

## Example


import numpy as np

# creating an input array
myarray = np.arange(6).reshape(2,3)

# implementing the numpy.ascontiguousarray() function
contiguousarray = np.ascontiguousarray(myarray, dtype=np.float32)

print(contiguousarray)

## Explanation
* Line 1: We import the `numpy` module.
* Line 4: We create an input array of sequential integers containing `2`  arrays with `3` elements. The output is assigned to a variable `myarray`.
* Line 7: Using the `numpy.ascontiguousarray()` function we make the array `myarray` contiguous with the  float data type. The output is assigned to a new variable `contiguousarray`.
* Line 9: We print the `contiguousarray` array.

What is the numpy.ascontiguousarray() function in Python?

The numpy.ascontiguousarray() function returns a contiguous array with the same shape and data type as the input array, optionally specifying a new dtype.