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• Last Updated : 22 Apr, 2020

`numpy.ma.notmasked_contiguous()` function find contiguous unmasked data in a masked array along the given axis.

Syntax : numpy.ma.notmasked_contiguous(arr, axis = None)

Parameters :
arr : [array_like] The input array.
axis : [int, optional] Axis along which to perform the operation. Default is None.

Return : [list] A list of slices (start and end indexes) of unmasked indexes in the array. If the input is 2d and axis is specified, the result is a list of lists.

Code #1 :

 `# Python program explaining``# numpy.ma.notmasked_contiguous() function`` ` `# importing numpy as geek  ``# and numpy.ma module as ma ``import` `numpy as geek ``import` `numpy.ma as ma `` ` `arr ``=` `geek.arange(``12``).reshape((``3``, ``4``))``mask ``=` `geek.zeros_like(arr)``mask[``1``:, :``-``1``] ``=` `1``; mask[``0``, ``1``] ``=` `1``; mask[``-``1``, ``0``] ``=` `0``ma ``=` `geek.ma.array(arr, mask ``=` `mask)`` ` `gfg ``=` `geek.ma.notmasked_contiguous(ma)`` ` `print` `(gfg)`

Output :

[slice(0, 1, None), slice(2, 4, None), slice(7, 9, None), slice(11, 12, None)]

Code #2 :

 `# Python program explaining``# numpy.ma.notmasked_contiguous() function`` ` `# importing numpy as geek  ``# and numpy.ma module as ma ``import` `numpy as geek ``import` `numpy.ma as ma `` ` `arr ``=` `geek.arange(``12``).reshape((``3``, ``4``))``mask ``=` `geek.zeros_like(arr)``mask[``1``:, :``-``1``] ``=` `1``; mask[``0``, ``1``] ``=` `1``; mask[``-``1``, ``0``] ``=` `0``ma ``=` `geek.ma.array(arr, mask ``=` `mask)`` ` `gfg ``=` `geek.ma.notmasked_contiguous(ma, axis ``=` `1``)`` ` `print` `(gfg)`

Output :

[[slice(0, 1, None), slice(2, 4, None)], [slice(3, 4, None)], [slice(0, 1, None), slice(3, 4, None)]]

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