# Python | Numpy MaskedArray.__rtruediv__

• 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.__rtruediv__ we can divide a particular value that is provided as a parameter in the MaskedArray.__rtruediv__() method.

Return: Divide self into others, 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.__rtruediv__().

 `# import the important module in python ``import` `numpy as np `` ` `# make an array with numpy ``gfg ``=` `np.ma.array([``22``, ``33``, ``44``, ``55``, ``77``]) `` ` `# applying MaskedArray.__rtruediv__() method ``print``(gfg.__rtruediv__(``11``)) `
Output:
```[0.5 0.3333333333333333 0.25 0.2 0.14285714285714285]
```

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``], ``                ``[``110``, ``220``, ``330``, ``440``, ``550``]]) `` ` `# applying MaskedArray.__rtruediv__() method ``print``(gfg.__rtruediv__(``10``)) `
Output:
```[[1.0 0.5 0.3333333333333333 0.25 0.2]
[0.09090909090909091 0.045454545454545456 0.030303030303030304
0.022727272727272728 0.01818181818181818]]
```
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