• Last Updated : 01 Nov, 2019

`numpy.ma.MaskedArray class` is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__floordiv__ operator we can divide a particular value that is provided as a parameter to this function.

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Return: Divide other into self, and return a new masked array.

Example #1 :
In this example we can see that after applying MaskedArray.__floordiv__(), we get 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.ma.array([``1``, ``2.5``, ``3``, ``4.8``, ``5``]) `` ` `# applying MaskedArray.__floordiv__() method ``print``(gfg.__floordiv__(``2``)) `
Output:
```[0.0 1.0 1.0 2.0 2.0]
```

Example #2:

 `# import the important module in python ``import` `numpy as np `` ` `# make an array with numpy ``gfg ``=` `np.ma.array([[``1``, ``2``, ``3``, ``4.45``, ``5``], ``                ``[``6``, ``5.5``, ``4``, ``3``, ``2.62``]]) `` ` `# applying MaskedArray.__floordiv__() method ``print``(gfg.__floordiv__(``3``)) `
Output:
```[[0.0 0.0 1.0 1.0 1.0]
[2.0 1.0 1.0 1.0 0.0]]
```

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