# NumPy floor() function

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.]```