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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 :

 `# 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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