numpy.ma.notmasked_edges
- ma. notmasked_edges ( a, axis=None ) [source]
-
Find the indices of the first and last unmasked values along an axis.
If all values are masked, return None. Otherwise, return a list of two tuples, corresponding to the indices of the first and last unmasked values respectively.
- Parameters
-
- a array_like
-
The input array.
- axis int, optional
-
Axis along which to perform the operation. If None (default), applies to a flattened version of the array.
- Returns
-
- edges ndarray or list
-
An array of start and end indexes if there are any masked data in the array. If there are no masked data in the array,
edges
is a list of the first and last index.
See also
Examples
>>> a = np.arange(9).reshape((3, 3)) >>> m = np.zeros_like(a) >>> m[1:, 1:] = 1
>>> am = np.ma.array(a, mask=m) >>> np.array(am[~am.mask]) array([0, 1, 2, 3, 6])
>>> np.ma.notmasked_edges(am) array([0, 6])
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https://numpy.org/doc/1.22/reference/generated/numpy.ma.notmasked_edges.html