Skip to content
Related Articles

Related Articles

Save Article
Improve Article
Save Article
Like Article

Numpy MaskedArray asanyarray() method | Python

  • Last Updated : 17 Feb, 2020

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)

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning - Basic Level Course

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 ā€˜Cā€™.



Return : [MaskedArray] Masked array interpretation of arr.

Code #1 :




# 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 :




# Python program explaining
# numpy.ma.asanyarray() function
  
import numpy as geek
  
my_tuple = ([1, 4, 8], [7, 2, 5])
  
print ("Input touple : ", my_tuple)
  
out_arr = geek.ma.asanyarray(my_tuple) 
print ("output array from input touple : ", out_arr) 

Output :

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




My Personal Notes arrow_drop_up
Recommended Articles
Page :