Numpy MaskedArray asanyarray() method | Python

numpy.ma.asanyarray() function is used when we want to convert input to a masked array, conserving subclasses. If arr is a subclass of MaskedArray, its class is conserved. No copy is performed if the input is already an ndarray.

Syntax : numpy.ma.asanyarray(arr, dtype=None) Parameters : arr : [array_like] Input data, in any form that can be converted to a masked array. dtype : [data-type, optional] By default, the data-type is inferred from the input data. order : Whether to use row-major (C-style) or column-major (Fortran-style) memory representation. Defaults to ‘C’. Return : [MaskedArray] Masked array interpretation of arr.

Code #1 : Python3

# Python program explaining
# numpy.ma.asanyarray() function
import numpy as geek
my_list = [1, 4, 8, 7, 2, 5]

print ("Input list : ", my_list)


out_arr = geek.ma.asanyarray(my_list)
print ("output array from input list : ", out_arr) 

Output :

Input list :  [1, 4, 8, 7, 2, 5]
output array from input list :  [1 4 8 7 2 5]

  Code #2 : Python3

# Python program explaining
# numpy.ma.asanyarray() function

import numpy as geek

my_tuple = ([1, 4, 8], [7, 2, 5])

print ("Input tuple : ", my_tuple)

out_arr = geek.ma.asanyarray(my_tuple) 
print ("output array from input tuple : ", out_arr) 

Output :

Input tuple :  ([1, 4, 8], [7, 2, 5])
output array from input tuple :  [[1 4 8]
 [7 2 5]]