how to plot a time series from row 1000 to 3000

Hello and have a good day

I have a time series and I wanna plot 3D for t=0.1:0.001:0.3

Here is my code for all the time series

LD6 = load('output_a_f_LL_bus5.mat');
Data = LD6.Id_6.Data;
t = LD6.t.Time;
figure
plot3(Data(:,1), Data(:,2), t)
grid on
xlabel('Id')
ylabel('Iq')
zlabel('time')

How can I plot3D the time series after the 1000th row (or for the times between 0.1 to 0.3)?

[Dyuman Joshi]

You are using output_a_f_LL_bus5.mat to load the variables but you have provided a different .mat file.

[Atefeh]

Yes, You are right, Here is the output file

Answer 1

[Voss]

LD6 = load('output_a_f_LL_bus5.mat');
Data = LD6.Id_6.Data;
t = LD6.t.Time;
figure
idx = t >= 0.1 & t <= 0.3;
plot3(Data(idx,1), Data(idx,2), t(idx))
grid on
xlabel('Id')
ylabel('Iq')
zlabel('time')

Answer 2

[dpb]

d=dir('*bus*.mat');
load(d.name,'Id_6')
whos

  Name        Size            Bytes  Class         Attributes

  Id_6        1x1             72372  timeseries              
  ans         1x47               94  char                    
  cmdout      1x33               66  char                    
  d           1x1              1157  struct                  

head(Id_6)

  timeseries with properties:

               Events: []
                 Name: ''
             UserData: []
                 Data: [3001×3 double]
             DataInfo: [1×1 tsdata.datametadata]
                 Time: [3001×1 double]
             TimeInfo: [1×1 tsdata.timemetadata]
              Quality: []
          QualityInfo: [1×1 tsdata.qualmetadata]
          IsTimeFirst: 1
    TreatNaNasMissing: 1
               Length: 3001

ix=(Id_6.Time>=0.1)&(Id_6.Time<=0.3);
plot3(Id_6.Data(ix,1), Id_6.Data(ix,2), Id_6.Time(ix))
grid on
xlabel('Id')
ylabel('Iq')
zlabel('time')

I'd strongly suggest to convert over to using timetable instead of timeseries; I've not found anything really useful at all about the implementation of the time series objects; the syntax has generally been more in the way than helpful; even the doc suggests it. Unfortunately, it's another case where an experimental new data class was released into the wild and while it (like the ill-fated Statistics TB dataset class) proved to be less than an optimal solution, now it exists and seemingly will have to be carried around as excess baggage forever.

ADDENDUM:

In my own code here, I'd have written the above as

ix=iswithin(Id_6.Time,0.1,0.3);

where iswithin is my utility function kept in a Utilities folder on the matlabpath just behind the working directory

function flg=iswithin(x,lo,hi)
% returns T for values within range of input
% SYNTAX:
%  [log] = iswithin(x,lo,hi)
%      returns T for x between lo and hi values, inclusive

  flg= (x>=lo) & (x<=hi);
end

This "syntactic sugar" function makes top level code much simpler to write/read and is particularly valuable when there are multiple ranges, etc., ...

[Atefeh]

Thanks a bunch for your professional feedback.