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# numpy.ma.clump_unmasked() function | Python

• Last Updated : 22 Apr, 2020

`numpy.ma.clump_unmasked()` function returns list of slices corresponding to the unmasked clumps of a 1-D array.

Parameters :
arr : [ndarray] A one-dimensional masked array.

Return : [list of slice] The list of slices, one for each continuous region of unmasked elements in a.

Code #1 :

 `# Python program explaining``# numpy.ma.clump_unmasked() function`` ` `# importing numpy as geek  ``# and numpy.ma module as ma ``import` `numpy as geek ``import` `numpy.ma as ma `` ` `arr ``=` `geek.ma.masked_array(geek.arange(``8``))``arr[[``0``, ``1``, ``2``, ``6``]] ``=` `geek.ma.masked``  ` `gfg ``=` `geek.ma.clump_unmasked(arr)`` ` `print` `(gfg)`

Output :

```[slice(3, 6, None), slice(7, 8, None)]
```

Code #2 :

 `# Python program explaining``# numpy.ma.clump_unmasked() function`` ` `# importing numpy as geek  ``# and numpy.ma module as ma ``import` `numpy as geek ``import` `numpy.ma as ma `` ` `arr ``=` `geek.ma.masked_array(geek.arange(``10``))``arr[[``0``, ``1``, ``2``, ``6``, ``8``, ``9``]] ``=` `geek.ma.masked``  ` `gfg ``=` `geek.ma.clump_unmasked(arr)`` ` `print` `(gfg)`

Output :

```[slice(3, 6, None), slice(7, 8, None)]
```

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