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numpy.ma.flatnotmasked_edges
- numpy.ma.flatnotmasked_edges(a)[source]
- 
    Find the indices of the first and last unmasked values. Expects a 1-D MaskedArray, returns None if all values are masked.- Parameters
- 
      - aarray_like
- 
        Input 1-D MaskedArray
 
- Returns
- 
      - edgesndarray or None
- 
        The indices of first and last non-masked value in the array. Returns None if all values are masked. 
 
 See also flatnotmasked_contiguous,notmasked_contiguous,notmasked_edges,clump_masked,clump_unmaskedNotesOnly accepts 1-D arrays. Examples>>> a = np.ma.arange(10) >>> np.ma.flatnotmasked_edges(a) array([0, 9])>>> 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_edges(a) array([3, 8])>>> a[:] = np.ma.masked >>> print(np.ma.flatnotmasked_edges(a)) None
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 https://numpy.org/doc/1.19/reference/generated/numpy.ma.flatnotmasked_edges.html