#             
## Overview
The **`numpy.floor()` function** in NumPy is used to return the floor values of each element in an input array `x` such that for each of the elements of `x`, the floor values are less than or equal to it.
## Syntax
```
numpy.floor(x, /, out=None, *, where=True)
```
## Parameter value
The `numpy.floor()` function takes the following parameter values:
* **`x`** (required): This represents the input array. 
* **`out`** (optional): This represents the location where the result is stored. 
* **`where`** (optional): This is the condition over which the input is being broadcast. At a given location where this condition is `True`, the resulting array will be set to the `ufunc` result. Otherwise, the resulting array will retain its original value.
* **`**kwargs`** (optional): This represents other keyword arguments.
## Return value
The `numpy.floor()` function returns an array containing the floor value of each element in the input array.
## Example


import numpy as np

# creating an array
x = np.array([1.5, 10.3, 6.6, 0.3, 180.05])

# obtaining the floor values
myarray = np.floor(x)

print(x)
print(myarray)

## Explanation
* Line 1: We import the `numpy` module.
* Line 4: We create an array `x` using the `array()` method.
* Line 7: We implement the `np.floor()` function on the array. The result is assigned to a variable `myarray`.
* Line 9: We print the input array `x`.
* Line 10: We print the variable `myarray`.


What is the numpy.floor() function in NumPy?

The numpy.floor() function returns an array with floor values for each element in the input array.