numpy.ma.flatnotmasked_contiguous#

ma.flatnotmasked_contiguous(a)[source]#

Find contiguous unmasked data in a masked array.

Parameters:
aarray_like

The input array.

Returns:
slice_listlist

A sorted sequence of slice objects (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

>>> import numpy as np
>>> a = np.ma.arange(10)
>>> np.ma.flatnotmasked_contiguous(a)
[slice(0, 10, None)]

>>> mask = (a < 3) | (a > 8) | (a == 5)
>>> a[mask] = np.ma.masked
>>> np.array(a[~a.mask])
array([3, 4, 6, 7, 8])

>>> np.ma.flatnotmasked_contiguous(a)
[slice(3, 5, None), slice(6, 9, None)]
>>> a[:] = np.ma.masked
>>> np.ma.flatnotmasked_contiguous(a)
[]