How to extract cell array of 2D matrices into a timeseries?

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Daniel Flisek
Daniel Flisek 2025-1-10
评论： Daniel Flisek 2025-1-13
I have some data that is stored as a 1666x1 cell array. Each cell contains a 4x19 double. I need to extract this data and attach it to a timeseries object. Timeseries will not take a cell array directly, so I need to extract the cells.
So let's say the cell array is named data, and the timeseries is ts. I need:
ts.Data(1) = data{1}
ts.Data(2) = data{2}
etc.
cell2mat() concatenates everything into 6664x19, and I can't get reshape() to chop it up into the correct 4x19 blocks. I could do it in a for loop, but that's not very satisfying in MATLAB.
I know this is a simple syntax thing, but I can't seem to find an answer that works.
  1 个评论
Burak
Burak 2025-1-10
编辑：Burak 2025-1-10

To populate a timeseries object with data from a cell array where each cell contains a 4x19 double, you can indeed use a for loop. However, if you want a more MATLAB-esque solution (avoiding explicit loops), you can use arrayfun to achieve this. Here’s how you can do it:

   % Initialize the timeseries object with an empty array of the correct size
    ts = timeseries();
    % Use arrayfun to attach data to the timeseries object
    ts.Data = cat(3, data{:});

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采纳的回答

Walter Roberson
Walter Roberson 2025-1-10
Ran in:
data = {rand(2,5); rand(2,5); rand(2,5)};
ts = timeseries(cat(3,data{:}))
timeseries Common Properties: Name: 'unnamed' Time: [3x1 double] TimeInfo: tsdata.timemetadata Data: [2x5x3 double] DataInfo: tsdata.datametadata
getsamples(ts,1)
timeseries Common Properties: Name: 'unnamed' Time: [1x1 double] TimeInfo: tsdata.timemetadata Data: [2x5 double] DataInfo: tsdata.datametadata
So in general you
ts = timeseries(cat(3, data{:}));

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