Numpy MaskedArray asarray() method | Python Last Updated : 16 Nov, 2021 Summarize Comments Improve Suggest changes Share Like Article Like Report numpy.ma.asarray() function is used when we want to convert input to a masked array of the given data-type. No copy is performed if the input is already a ndarray. If arr is a subclass of MaskedArray, a base class MaskedArray is returned. Syntax : numpy.ma.asarray(arr, dtype=None, order=None) Parameters : arr : [array_like] Input data, in any form that can be converted to a masked array. This includes lists, lists of tuples, tuples, tuples of tuples, tuples of lists, ndarrays and masked arrays. 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.asarray() function import numpy as geek my_list = [1, 4, 8, 7, 2, 5] print ("Input list : ", my_list) out_arr = geek.ma.asarray(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.asarray() function import numpy as geek my_tuple = ([1, 4, 8], [7, 2, 5]) print ("Input tuple : ", my_tuple) out_arr = geek.ma.asarray(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]] Comment More infoAdvertise with us Next Article Numpy MaskedArray asarray() method | Python S sanjoy_62 Follow Improve Article Tags : Machine Learning Python-numpy python Python Numpy-Masked Array Practice Tags : Machine Learningpython Similar Reads Python Tutorial - Learn Python Programming Language Python is one of the most popular programming languages. 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