Python | Numpy MaskedArray.mod()

The MaskedArray.__mod__() method returns the element-wise remainder of the input array with respect to the second array, provided that these arrays have the same shape and the same mask.

The syntax of MaskedArray.__mod__() method is:

numpy.MaskedArray.__mod__(self, other, fill_value=None)

Here, self is the input array, other is the second array, and fill_value takes None as default value if not provided.

Parameters

• self: It represents the input array.

• other: It represents the second array.

• fill_value: It is an optional parameter that sets the value used to fill in the masked values in the input array.

Return Value

The MaskedArray.__mod__() method returns an array with the same shape as self/other, but with masked values in areas where either the self or other array has masked values.

Example

import numpy as np
from numpy import ma

a = ma.array([1, 10, 3, 8, 17])
b = ma.array([3, 7, 8, 11, 9])

result = a % b
print("After a % b :")
print(result)

Output:

After a % b :
[1 3 3 8 --]

The above example shows that the MaskedArray.__mod__() method calculates the element-wise remainder of the array a with respect to the array b and returns a masked array where there are missing values.

Conclusion

In conclusion, MaskedArray.__mod__() method in Numpy module is used to calculate the element-wise remainder of the input array with respect to the second array while dealing with missing values in the input array.