Python | Numpy MaskedArray.__xor__

Python | Numpy MaskedArray.rsub

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.

Syntax: numpy.MaskedArray.__rsub__ 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.

Python3 1==

# 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:

Python3 1==

# 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]]

Python | Numpy MaskedArray.__xor__

S

Shivam_k

Improve

Article Tags :

Practice Tags :

python

Similar Reads

Python | Numpy MaskedArray.__sub__

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__sub__ we can subtract a particular value that is provided as a parameter in the MaskedArray.__sub__() method. Value will be subtracted from each and eve

Python | Numpy MaskedArray.__rmul__

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

Python | Numpy MaskedArray.__ror__

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__ror__ method we can get the elements that is OR with the value that is provided as a parameter. Syntax: numpy.MaskedArray.__ror__ Return: Return value|s

Python | Numpy MaskedArray.__xor__

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__xor__ method we can get the elements that is XOR by the value that is provided as a parameter. Syntax: numpy.MaskedArray.__xor__($self, value, /) Return

Python | Numpy MaskedArray.__radd__

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

Python | Numpy MaskedArray.__rxor__

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rxor__ method we can get the elements that is XOR with the value that is provided as a parameter. Syntax: numpy.MaskedArray.__rxor__($self, value, /) Re

Python | Numpy MaskedArray.__rand__

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rand__ method we can get the elements that is anded by the value that is provided as a parameter. Syntax: numpy.MaskedArray.__rand__ Return: Return valu

Python | Numpy MaskedArray.__rshift__

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rshift__ method we can get the elements that is right shifted by the value that is provided as a parameter. Syntax: numpy.MaskedArray.__rshift__ Return:

Python | Numpy MaskedArray.__rmod__

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rmod__ every element in masked array is operated on binary operator i.e mod(%). Remember we can use any type of values in an array and value for mod is

Python | Numpy MaskedArray.__rpow__

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__pow__ method we can get the elements powered with the value that is provided as a parameter. Syntax: numpy.MaskedArray.__rpow__ Return: Raise other to t