  # Python | Numpy MaskedArray .__ abs__

Arrays | NumPy | Python Methods and Functions

` numpy.ma.MaskedArray class ` is a subclass of ndarray for manipulating numeric arrays with missing data. With the Numpy operator MaskedArray .__ abs__ we can find the absolute value of each element in the array. Suppose we have values ​​31,74, using MaskedArray .__ abs __ () it will be converted to 31.

Return: floor (self)

Example # 1:
In this example, we we see that after applying MaskedArray .__ abs __ () we get a simple array that can contain the absolute values ​​of all elements of the array.

` `

 ` # import important module into python ` ` import ` ` numpy as np `   ` # make an array with NumPy ` ` gfg ` ` = ` ` np.array ([` ` 1.45 ` `, ` ` 2. 32 ` `, ` ` 3.98 ` `, ` ` 4.41 ` `, ` ` 5.55 ` `, ` ` 6.12 ` `]) `   ` # applying the MaskedArray method .____ () ` ` print ` ` (np.ma. MaskedArray .__ abs __ (gfg)) `

` ` Output:

` [1 2 3 4 5 6] `

Example # 2:

` `

` # import important module in python import numpy as np    # make an array with NumPy gfg = np.array ([[ 1.22 , 2.25 , - 3.21 , 4.45 , 5.56 , 6 ],  [ - 6.65 , 5.55 , 4.32 , 3.33 , 2.12 , - 1.05 ]])     # applying MaskedArray .__ abs __ () method print (np.ma.MaskedArray .__ abs __ (gfg))  `

` ` Exit:

` [[1 2 3 4 5 6] [6 5 4 3 2 1]] `