Vectorized method to sum missed one values
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Robert Vullings
el 19 de Sept. de 2018
Comentada: Robert Vullings
el 2 de Nov. de 2018
Hi there,
I am trying to achieve something, but I can't think of a vectorized way of doing this. The problem is as follows.
Say I have a vector of 0's and 1's, e.g. [0, 1, 1, 0, 0, 1, 0, 1]. Then I want to manipulate it in such a way that I get the following vector: [0, 2, 1, 0, 0, 3, 0, 2]. Hence, from left to right, every time a 1 occurs, it adds the number of consecutive preceding zero's, if any.
This can easily be done in a loop, but because of the vast number of computations, I am looking for a vectorized way to achieve this.
Any help is appreciated!
Best, Robert
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Guillaume
el 19 de Sept. de 2018
Editada: Guillaume
el 19 de Sept. de 2018
v = [0, 1, 1, 0, 0, 1, 0, 1];
rcum = double(~v);
csum = cumsum(rcum);
rcum(v == 1) = -diff([0, csum(v == 1)]);
rcsum = cumsum(rcum) + 1;
%all the above can be replaced by rcumsum
%rcsum = rcumsum(~v) + 1;
reploc = diff(v) == 1
v([false, reploc]) = rcsum([reploc, false])
Note that I'm not convinced that it will be faster than a well written loop (which can do the job in only one pass over the data).
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Christopher Wallace
el 19 de Sept. de 2018
This is about 20x faster than my answer when run on my machine. Nice work!
Christopher Wallace
el 19 de Sept. de 2018
startingData = [0, 1, 1, 0, 0, 1, 0, 1];
stringArr = sprintf('%d', startingData ); % Convert to string for use with regexp
zerosLoc = regexp(stringArr , '(0*)'); % Find starting index of groups of 0's
onesLoc = regexp(stringArr , '(1*)'); % Find starting index of groups of 1's
startingData(onesLoc) = (onesLoc - zerosLoc) + 1; The difference in the starting location of the ones and the starting location of the zeros which will result in the number of zeros leading up to the 1.
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Guillaume
el 19 de Sept. de 2018
Conversions from numbers to strings are never fast, but
stringArr = char(startingData + '0');
will be a lot faster than using sprintf.
However, you don't need regexp and strings to find the start of the sequences.
zerosLoc = find(diff([1, startingData]) == -1); %find [1 0] transitions
onesLoc = find(diff([0, startingData]) == 1); %find [0 1] transitions
With this it may actually be faster than my solution.
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