numpy.ma.MaskedArray class is a subclass of ndarray for manipulating numeric arrays with missing data. Using Numpy MaskedArray .__ divmod__ we get two arrays, one of which has elements that are divisible by the values provided in the numpy.ma .__ divmod __ () method, and the second — elements that perform a mod operation with the same value as in numpy. .ma .__ divmod __ () method.
Syntax: numpy.MaskedArray .__ divmod__
Return: Return divmod (self, value).
Example # 1:
In this example, we can see that using the MaskedArray method .__ divmod __ ( ) we get two arrays. One with a division with the value that is passed as a parameter, and the other with the mod values.
(masked_array (data = [0 0 1 1 1], mask = [False False False False False], fill_value = 999999), masked_array (data = [1 2 0 1 2], mask = [False False False False False], fill_value = 999999))
Example # 2:
Output: b >
(masked_array (data = [[0 0 1 1 1] [2 1 1 1 0]], mask = [[False False False False False] [False False Fals e False False]], fill_value = 999999), masked_array (data = [[1 2 0 1 2] [0 2 1 0 2]], mask = [[False False False False False] [False False False False False]] , fill_value = 999999))
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