The `numpy.floor()`

is used to return the floor value of the elements of an array. The floor value of any given scalar value **x** is the largest integer value, such that `i <= x`

. For example, the floor value for 2.3 will be 2.

### Syntax of `numpy.floor()`

:

Below we have a basic syntax to use this function and it is as follows:

`numpy.floor(array) `

The parameter named **array** is used to denote the array whose floor value needs to be calculated.

**Returned values:**

This method will return an array that contains floor values only.

**Note:** In some spreadsheet programs value will be calculated through “floor-towards-zero” way that means **floor(-2.8) == -2**. But in case of Numpy, the definition of floor is the opposite, **floor(-2.8) == -3**, so we always pick the closest lower integer value to ind the floor.

Now its time to cover a few examples in order to understand this example.

## Example 1:

Below we have a code snippet for the example. Let us take a look at it:

```
import numpy as np
a = [0.23,-1.7,1.34,-2.334]
print("The array is :",a)
y = np.floor(a)
print("After applying the floor() method:",y)
```

Output:

The array is : [0.23, -1.7, 1.34, -2.334] After applying the floor() method: [ 0. -2. 1. -3.]

## Example 2:

Now here is another example for the `floor()`

function:

```
import numpy as np
input_arr = [1.23,0.22,-0.111,-2.555,-3.86,5.0,6.9]
print("The Input array is:")
print(input_arr)
z = np.floor(input_arr)
print("The output array is:")
print(z)
```

Output:

The Input array is: [1.23, 0.22, -0.111, -2.555, -3.86, 5.0, 6.9] The output array is: [ 1. 0. -1. -3. -4. 5. 6.]