numpy.ma.append() function | Python
Last Updated :
22 Apr, 2020
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 :
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)
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Output :
[1 2 -- 4 5 6 7 -- 9]
Code #2 :
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)
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Output :
[1 -- 3 4 5 6 7 -- 9 10]
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