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Python | Numpy np.ma.concatenate() method
• Last Updated : 03 Nov, 2019

With the help of `np.ma.concatenate()` method, we can concatenate two arrays with the help of `np.ma.concatenate()` method.

Syntax : `np.ma.concatenate([list1, list2])`
Return : Return the array after concatenation.

Example #1 :
In this example we can see that by using `np.ma.concatenate()` method, we are able to get the concatenate array with the help of this method.

 `# import numpy``import` `numpy as np``import` `numpy.ma as ma`` ` `gfg1 ``=` `np.array([``1``, ``2``, ``3``])``gfg2 ``=` `np.array([``4``, ``5``, ``6``])`` ` `# using np.ma.concatenate() method``gfg ``=` `ma.concatenate([gfg1, gfg2])`` ` `print``(gfg)`

Output :

[1 2 3 4 5 6]

Example #2 :

 `# import numpy``import` `numpy as np``import` `numpy.ma as ma`` ` `gfg1 ``=` `np.array([``11``, ``22``, ``33``])``gfg2 ``=` `np.array([``41``, ``52``, ``63``])`` ` `# using np.ma.concatenate() method``gfg ``=` `ma.concatenate([[gfg1], [gfg2]])`` ` `print``(gfg)`

Output :

[[11 22 33]
[41 52 63]]

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