numpy.ma.flatnotmasked_contiguous — NumPy v1.13 Manual (original) (raw)
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). |
Notes
Only accepts 2-D arrays at most.
Examples
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 print(np.ma.flatnotmasked_edges(a)) None