Merge cell array of maps by key in Matlab
matlab
Solution
Not sure about readability, but it is probably more efficient:
allKeys0 = cellfun(@keys, maps, 'UniformOutput', false);
[allKeys, ~, m] = unique([allKeys0{:}]);
allValues0 = cellfun(@values, maps, 'UniformOutput', false);
allValues = cell2mat([allValues0{:}]);
sumValues = arrayfun(@(x) sum(allValues(m==x)), 1:numel(allKeys));
mergedMap = containers.Map(allKeys, sumValues);
Problem
Given a cell array of `containers.Map` objects containing counts (values) for given events (keys). I would like to get a single map containing the sum of the counts (as values) for each key (or something allowing me to calculate the counts). For example: ``` maps = { containers.Map({'a','b'},{1,2}), containers.Map({'b','c'},{4,1}) }; mergeMaps(maps) ans = Map(a -> 1, b -> 6, c -> 1) ``` The only thing I could come up with so far is: ``` maps = { ... }; res = containers.Map(); for cMapC = maps cMap = cMapC{1}; for cKeyC = keys(cMap{1}) cKey = cKeyC{1}; if isKey(res, cKey) res(cKey) = res(cKey) + cMap(cKey); else res(cKey) = cMap(cKey); end end end ``` Which should work (untested), but whose "efficiency" and readability is questionable to say the least. What is a better solution? Please note that currently there is no index attributed to events, so using sparse matrices instead of maps is cumbersome.