Python | Numpy MaskedArray.__div__
Last Updated :
27 Mar, 2019
Improve
numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__div__ we can divide a particular value that is provided as a parameter in the MaskedArray.__div__() method.
Syntax: numpy.MaskedArray.__div__ 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.__div__().
# 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.__div__() method
print(gfg.__div__(11))
Output:
Example #2:
[2.0 3.0 4.0 5.0 7.0]
# 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.__div__() method
print(gfg.__div__(5))
Output:
[[2.0 4.0 6.0 8.0 10.0] [2.2 4.4 6.6 8.8 11.0]]
