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numpy.ma.flatnotmasked_edges
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_edgesclump_masked,clump_unmasked
Notes
Only 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/1.20/reference/generated/numpy.ma.flatnotmasked_edges.html