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 :
# 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 :
# 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]
