numpy.ma.notmasked_edges¶

numpy.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 listof two tuples, corresponding to the indices of the first and lastunmasked 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 inthe array. If there are no masked data in the array,edges is alist of the first and last index.

See also

flatnotmasked_contiguous,flatnotmasked_edges,notmasked_contiguous,clump_masked,clump_unmasked

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(ma)array([0, 6])