  # Python | Numpy MaskedArray .__ rtruediv__

Arrays | NumPy | Python Methods and Functions

` numpy.ma.MaskedArray class ` is a subclass of ndarray for manipulating numeric arrays with missing data. With Numpy MaskedArray .__ rtruediv__ we can split a specific value that is supplied as a parameter in the MaskedArray .__ rtruediv __ () method.

Return: Divide self into others, and return a new masked array.

Example # 1:
In this example, we see that each element of the array is divisible with the value specified as a parameter in the MaskedArray method .__ rtruediv __ ().

 ` # import important module in python ` ` import ` ` numpy as np `   ` # make an array with NumPy ` ` gfg ` ` = ` ` np. ma.array ([` ` 22 ` `, ` ` 33 ` `, ` ` 44 ` `, ` ` 55 ` `, ` ` 77 ` `]) `   ` # applying MaskedArray .__ rtruediv __ () method ` ` print ` ` (gfg .__ rtruediv __ (` ` 11 ` `)) `

Exit:

` [0.5 0.3333333333333333 0.25 0.2 0.14285714285714285] `

Example # 2:

 ` # import important module in python ` ` import ` ` numpy as np  ``   # make an array with NumPy gfg = np.ma.array ([[ 10 , 20 , 30 , 40 , 50 ],  [ 110 , 220 , 330 , 440 , 550 ]])    # applying MaskedArray .__ rtrue method div __ () print (gfg .__ rtruediv __ ( 10 )) `

Output:

` [[1.0 0.5 0.33333333333333 0.25 0.2] [0.090909090909091 0.045454545454545456 0.030303030303030304 0.022727272727272728 0.01818181818181818]] `