Python | Numpy MaskedArray.__rdivmod__

numpy.ma.MaskedArray class is a subclass of ndarray designed to manipulate numerical arrays with missing data. With the help of Numpy MaskedArray.__rdivmod__ we will get two arrays one is having elements that is divided by value that is provided in numpy.ma.__rdivmod__() method and second is having elements that perform mod operation with same value as provided in numpy.ma.__rdivmod__() method.

Return: Return divmod( value, self).

Example #1 :
In this example we can see that by using MaskedArray.__rdivmod__() method we get two arrays. One is with divided with value that is passed as parameter and other with mod 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.__rdivmod__() method  print(gfg.__rdivmod__(3))

Output:

(masked_array(data = [3 1 1 0 0],
mask = [False False False False False],
fill_value = 999999), masked_array(data = [0 1 0 3 3],
mask = [False False False False False],
fill_value = 999999)
)

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.__rdivmod__() method  print(gfg.__rdivmod__(3))

Output:

[[3 1 1 0 0]
[0 0 0 1 1]],
[[False False False False False]
[False False False False False]],
fill_value = 999999), masked_array(data =
[[0 1 0 3 3]
[3 3 3 0 1]],
[[False False False False False]
[False False False False False]],
fill_value = 999999)
)

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