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numpy.ma.append() function | Python

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  • 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 :




# 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]

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