• Last Updated : 27 Mar, 2019

`numpy.ma.MaskedArray class` is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__truediv__ we can divide a particular value that is provided as a parameter in the MaskedArray.__truediv__() method.

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

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 MaskedArray.__truediv__().

 `# import the important module in python ``import` `numpy as np `` ` `# make an array with numpy ``gfg ``=` `np.ma.array([``22``, ``33.7``, ``44.5``, ``55``, ``77``]) `` ` `# applying MaskedArray.__truediv__() method ``print``(gfg.__truediv__(``11``)) `
Output:
```[2.0 3.063636363636364 4.045454545454546 5.0 7.0]
```

Example #2:

 `# import the important module in python ``import` `numpy as np `` ` `# make an array with numpy ``gfg ``=` `np.ma.array([[``10``, ``20``, ``30``, ``40``, ``50``], ``                ``[``11``, ``22``, ``33``, ``44``, ``55``]]) `` ` `# applying MaskedArray.__truediv__() method ``print``(gfg.__truediv__(``5``)) `
Output:
```[[2.0 4.0 6.0 8.0 10.0]
[2.2 4.4 6.6 8.8 11.0]]
```

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