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Python | Numpy MaskedArray.__radd__
• 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.__radd__ we can add a particular value that is provided as a parameter in the MaskedArray.__radd__() method. Value will be added to each and every element in a numpy array.

Syntax: numpy.MaskedArray.__radd__

Return: Add self to other, and return a new masked array.

Example #1 :
In this example we can see that each and every element in an array is added with the value given as a parameter in method MaskedArray.__radd__(). Remember one thing it wouldn’t work for double type values.

 `# import the important module in python ``import` `numpy as np `` ` `# make an array with numpy ``gfg ``=` `np.ma.array([``1``, ``2``, ``3``, ``4``, ``5``]) `` ` `# applying MaskedArray.__radd__() method ``print``(gfg.__radd__(``5``)) `
Output:

```[ 6  7  8  9 10]
```

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``, ``5``], ``                ``[``6``, ``5``, ``4``, ``3``, ``2``]]) `` ` `# applying MaskedArray.__radd__() method ``print``(gfg.__radd__(``5``)) `
Output:
```[[ 6  7  8  9 10]
[11 10  9  8  7]]
```

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