# numpy.ma.flatnotmasked_contiguous

ma.flatnotmasked_contiguous(a)

  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 slice objects (start index, end index).

      Changed in version 1.15.0: Now returns an empty list instead of None for a fully masked array

  See also

  `flatnotmasked_edges`, `notmasked_contiguous`, `notmasked_edges`
  `clump_masked`, `clump_unmasked`

  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
      >>> np.ma.flatnotmasked_contiguous(a)
      []

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