numpy.ma.append() function | Python Last Updated : 22 Apr, 2020 Comments Improve Suggest changes Like Article Like Report numpy.ma.append() function append the values to the end of an array. Syntax : numpy.ma.append(arr1, arr2, axis = None) Parameters : arr1 : [array_like] Values are appended to a copy of this array. arr2 : [array_like] Values are appended to a copy of this array. If axis is not specified, arr2 can be any shape and will be flattened before use. Otherwise, it must be of the correct shape. axis : [int, optional] The axis along which value are appended. Return : [MaskedArray] A copy of arr1 with arr2 appended to axis. If axis is None, the result is a flattened array. Code #1 : Python3 # Python program explaining # numpy.ma.append() function # importing numpy as geek # and numpy.ma module as ma import numpy as geek import numpy.ma as ma arr1 = ma.masked_values([1, 2, 3], 3) arr2 = ma.masked_values([[4, 5, 6], [7, 8, 9]], 8) gfg = ma.append(arr1, arr2) print (gfg) Output : [1 2 -- 4 5 6 7 -- 9] Code #2 : Python3 # Python program explaining # numpy.ma.append() function # importing numpy as geek # and numpy.ma module as ma import numpy as geek import numpy.ma as ma arr1 = ma.masked_values([1, 2, 3, 4], 2) arr2 = ma.masked_values([[5, 6, 7], [8, 9, 10]], 8) gfg = ma.append(arr1, arr2) print (gfg) Output : [1 -- 3 4 5 6 7 -- 9 10] Comment More infoAdvertise with us Next Article Introduction to Machine Learning S sanjoy_62 Follow Improve Article Tags : Machine Learning Python-numpy python Python Numpy-Masked Array Practice Tags : Machine Learningpython Similar Reads Machine Learning Tutorial Machine learning is a branch of Artificial Intelligence that focuses on developing models and algorithms that let computers learn from data without being explicitly programmed for every task. 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