# Python | Numpy numpy.ndarray.__floordiv__()

• Last Updated : 06 Mar, 2019

With the help of `Numpy numpy.ndarray.__floordiv__()`, one can divide a particular value that is provided as a parameter in the `ndarray.__floordiv__()` method. Value will be divided to each and every element in a numpy array and remember it always gives the floor value after division.

Syntax: ndarray.__floordiv__(\$self, value, /)

Return: self//value

Example #1 :
In this example, we can see that each element in an array is divided with the value given as a parameter in method `ndarray.__floordiv__()` and gives the floor value of every element that is divided in an array. This method will work fine for positive, negative and floating point values of an array.

 `# import the important module in python``import` `numpy as np``  ` `# make an array with numpy``gfg ``=` `np.array([``1``, ``2.5``, ``3``, ``4.8``, ``5``])``  ` `# applying ndarray.__floordiv__() method``print``(gfg.__floordiv__(``2``))`

Output:

```[ 0.  1.  1.  2.  2.]
```

Example #2 :

 `# import the important module in python``import` `numpy as np``  ` `# make an array with numpy``gfg ``=` `np.array([[``1``, ``2``, ``3``, ``4.45``, ``5``],``                ``[``6``, ``5.5``, ``4``, ``3``, ``2.62``]])``  ` `# applying ndarray.__floordiv__() method``print``(gfg.__floordiv__(``3``))`

Output:

```[[ 0.  0.  1.  1.  1.]
[ 2.  1.  1.  1.  0.]]
```

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