#       
## Overview
The **`numpy.ones()` function** in Python is used to return an array filled with ones (1). 

## Syntax
```
numpy.ones(shape, dtype=None, order='C', *, like=None)
```
## Parameters
The `numpy.ones()` method takes the following parameters:
* **`shape`**: This represents the shape of the new array.
* **`dtype`**: This represents the data type of array you want. This is optional.
* **`order`**: This represents whether to store multi-dimensional data in `C` or `F` style. The default is `C` style. This is optional.
* **`like`**: This represents the `array_like` object or prototype.

## Return value
The  `numpy.ones()` function returns an array with the given `shape`, `dtype`, and  filled with ones.

## Example 


import numpy as np

# an aray with 5 ones and integer data type
myarray = np.ones((5), dtype = int)

print(myarray)

## Explanation
* Line 1: We import the `numpy` model.
* Line 4: We use the `numpy.ones()` function to create an array with `5` ones. The data type of the array elements is integer. The output is stored in a variable `myarray`.
* Line 6: We print the array `myarray`.


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

Creates an array of given shape and type, filled with ones, using specified parameters.