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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: -
a : array_like -
Input 1-D
MaskedArray
Returns: -
edges : ndarray 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_unmaskedNotes
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://docs.scipy.org/doc/numpy-1.17.0/reference/generated/numpy.ma.flatnotmasked_edges.html