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numpy.ma.flatnotmasked_contiguous()

numpy.ma.flatnotmasked_contiguous(a) [source]

Find contiguous unmasked data in a masked array along the given axis.

Parameters:

a : narray

The input array.
Returns:

slice_list : list

A sorted sequence of slices (start index, end index).

See also

flatnotmasked_edges, notmasked_contiguous, notmasked_edges, clump_masked, clump_unmasked

Notes

Only accepts 2-D arrays at most.

Examples

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>>> a = np.ma.arange(10)
>>> np.ma.flatnotmasked_contiguous(a)
slice(0, 10, None)
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>>> mask = (a < 3) | (a > 8) | (a == 5)
>>> a[mask] = np.ma.masked
>>> np.array(a[~a.mask])
array([3, 4, 6, 7, 8])
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>>> np.ma.flatnotmasked_contiguous(a)
[slice(3, 5, None), slice(6, 9, None)]
>>> a[:] = np.ma.masked
>>> print(np.ma.flatnotmasked_edges(a))
None
doc_NumPy
doc_NumPy
2025-01-10 15:47:30
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