I have a simple matrix with repeating values in some columns. I need to group data by names and week and sum the prices spent each day given week. here is the example:
name day week price
John 12 12 200
John 14 12 70
John 25 13 150
John 1 14 10
Ann 13 12 100
Ann 15 12 100
Ann 20 13 50
The desired output would be:
name week sum
John 12 270
John 13 150
John 14 10
Ann 12 200
Ann 13 50
Is there a nice way to do it? I used for loops, but not sure it is the best way to do it:
names= unique(data(:,1)); % getting unique names from data
n=size(names, 1); % number of unique names
m=size(data(:,1),1); % number of total rows
sum=[]; % empty matrix for writing the results
for i = 1:n
temp=[]; % creating temporar matrix
k=1;
for j=1:m
if name(i)==data(j,1) % going through all the rows and getting the rows of
temp(k,:)=data(j,:); % the same name and putting in temporar matrix
k=k+1;
end
end
count=0;
s=1;
for l = 1:size(temp,1)-1 % going through temporar matrix of one name(e.g.John)
if temp(l,3)==temp(l+1,3) % checking if the day of current row is equal to the
count=count+temp(l,4); % date of the next row (the data is sorted by name
else % and date) and then summing the prices 4th column
sum(s, 1:3)=[names(i) temp(l,3) count];
count=0; % if the days are not equal, then writing the answer
s=s+1; % to the output matrix sum
end
end
end
Use accumarray
. It will group and aggregate values like this. You can use the third otuput argument from unique(data(:,1))
to get the numeric indexes to pass to the subs
argument of accumarray
. See doc accumarray
for details.