How to separate 2 columns from a structure in MATLAB and save it into different variables(as a Matrix)

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Atefeh 2023-7-25

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https://ww2.mathworks.cn/matlabcentral/answers/2000288-how-to-separate-2-columns-from-a-structure-in-matlab-and-save-it-into-different-variables-as-a-matri

评论： Star Strider 2023-9-22

timeseries.jpg

Hi and have a great time

I have some timetables as it appears in the picture and each timetable can be a structure.

I have 4 columns but I want to load the second column as X values and the transpose of 3rd columns as Y values and then plot X in terms of Y

How can I do it ? (I don't know how to separate the columns of a timetable)

Thanks for your answers

Atefeh

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Stephen23 2023-7-25

在 MATLAB Online 中打开

output.mat

"I have some timetables as it appears in the picture and each timetable can be a structure."

No, what you have are clearly TIMESERIES objects:

https://www.mathworks.com/help/matlab/time-series-objects.html

S = load('output.mat')
S = struct with fields:
        A: [1×1 timeseries]
     Bus4: [1×1 struct]
    Iabc0: [1×1 timeseries]
    Iabc1: [1×1 timeseries]
    Iabc2: [1×1 timeseries]
    Iabc3: [1×1 timeseries]
    Iabc4: [1×1 timeseries]
    Iabc5: [1×1 timeseries]
    Iabc6: [1×1 timeseries]
     Id_0: [1×1 timeseries]
     Id_1: [1×1 timeseries]
     Id_2: [1×1 timeseries]
     Id_3: [1×1 timeseries]
     Id_4: [1×1 timeseries]
     Id_5: [1×1 timeseries]
     Id_6: [1×1 timeseries]
    Vabc0: [1×1 timeseries]
    Vabc1: [1×1 timeseries]
    Vabc2: [1×1 timeseries]
    Vabc3: [1×1 timeseries]
    Vabc4: [1×1 timeseries]
    Vabc5: [1×1 timeseries]
    Vabc6: [1×1 timeseries]
     Vd_0: [1×1 timeseries]
     Vd_1: [1×1 timeseries]
     Vd_2: [1×1 timeseries]
     Vd_3: [1×1 timeseries]
     Vd_4: [1×1 timeseries]
     Vd_5: [1×1 timeseries]
     Vd_6: [1×1 timeseries]
     tout: [1000×1 double]
A = S.Id_6
  timeseries

  Common Properties:
            Name: ''
            Time: [3001x1 double]
        TimeInfo: tsdata.timemetadata
            Data: [3001x3 double]
        DataInfo: tsdata.datametadata
D = get(A,'Data')
D = 3001×3
   -0.0970   -0.1256   -0.0000
   -0.0978   -0.1249    0.0000
   -0.0985   -0.1243    0.0000
   -0.0993   -0.1237    0.0000
   -0.1001   -0.1231    0.0000
   -0.1009   -0.1224    0.0000
   -0.1016   -0.1218    0.0000
   -0.1024   -0.1212    0.0000
   -0.1032   -0.1205    0.0000
   -0.1039   -0.1199    0.0000