# Python | Numpy ndarray.__ifloordiv__()

• Last Updated : 27 Mar, 2019

With the help of `Numpy ndarray.__ifloordiv__()`, we can divide a particular value that is provided as a parameter in the `ndarray.__ifloordiv__()` 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.__ifloordiv__(\$self, value, /)

Return: self//=value

Example #1 :
In this example we can see that each and every element in an array is divided with the value given as a parameter in method `ndarray.__ifloordiv__()` 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.__ifloordiv__() method``print``(gfg.__ifloordiv__(``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.__ifloordiv__() method``print``(gfg.__ifloordiv__(``3``))`
Output:
```[[ 0.  0.  1.  1.  1.]
[ 2.  1.  1.  1.  0.]]
```

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