Quick way to sum array elements based on flag in another array?
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Say I have 2 arrays: one with "clean" data, and one that tells me which data gets lost, as indicated by zeros. If an element is lost, it should be added to the next observed element. Anybody got a quick one-or-two-liner to come up with the summed array?
Example:
clean = [1 2 3 4 5 6]
lost = [1 0 3 0 0 6]
desired = [1 5 15]
1 comentario
Sean de Wolski
el 14 de Jul. de 2015
Fun question, well asked with example inputs and expected outputs +1
Respuesta aceptada
Más respuestas (2)
Andrei Bobrov
el 14 de Jul. de 2015
Editada: Andrei Bobrov
el 14 de Jul. de 2015
desired = flip(accumarray(cumsum(lost(end:-1:1)~=0)',clean(end:-1:1)),1)';
or
desired = accumarray(cumsum(xor([0,diff(lost > 0)],lost))',clean)';
Sean de Wolski
el 14 de Jul. de 2015
accumarray(interp1(find(lost),1:nnz(lost),1:numel(lost),'next')',clean)
4 comentarios
Ted
el 14 de Jul. de 2015
Sean de Wolski
el 14 de Jul. de 2015
Yes it does! Well it's transposed but the numbers are correct
clean = [40 10 50 30 40 10 50 30 40 10 50 30];
lost = [40 0 50 30 0 10 0 0 40 10 50 30];
accumarray(interp1(find(lost),1:nnz(lost),1:numel(lost),'next')',clean)
ans =
40
60
30
50
120
10
50
30
You could always transpose the answer with '
Andrei Bobrov
el 14 de Jul. de 2015
+1
Ted
el 15 de Jul. de 2015
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