Related Articles

• 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.__rsub__ we can subtract a particular value that is provided as a parameter in the MaskedArray.__rsub__() method. Value will be subtracted from each and every element in a numpy array.

Return: Subtract self from other, and return a new masked array.

Example #1 :
In this example we can see that each and every element in an array is subtracted with the value given as a parameter in method MaskedArray.__rsub__(). 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([``11``, ``22``, ``23``, ``24``, ``25``]) `` ` `# applying MaskedArray.__rsub__() method ``print``(gfg.__rsub__(``5``)) `
Output:

```[ -6 -17 -18 -19 -20]
```

Example #2:

 `# import the important module in python ``import` `numpy as np `` ` `# make an array with numpy ``gfg ``=` `np.ma.array([[``21``, ``22``, ``23``, ``24``, ``25``], ``                ``[``26``, ``25``, ``24``, ``23``, ``22``]]) `` ` `# applying MaskedArray.__rsub__() method ``print``(gfg.__rsub__(``5``)) `
Output:
```[[-16 -17 -18 -19 -20]
[-21 -20 -19 -18 -17]]
```

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up