I'd first recommend converting your table into a timetable so you can see the time step for each row.
For example,
>> t = table2timetable(table((1:10)'),'SampleRate',2)
t =
10×1 timetable
Time Var1
_______ ____
0 sec 1
0.5 sec 2
1 sec 3
1.5 sec 4
2 sec 5
2.5 sec 6
3 sec 7
3.5 sec 8
4 sec 9
4.5 sec 10
You can then plot your data directly using stackedplot.
stackedplot(t)
It sounds like myTable.TotalMt has multiple columns. By default the plot and stackedplot functions will plot these separate columns as multiple lines. To plot a single column of a table variable you can split that column into multiple variables with splitvars.
For example,
>> t = timetable([(1:10)' (2:11)'],'SampleRate',2)
t =
10×1 timetable
Time Var1
_______ ________
0 sec 1 2
0.5 sec 2 3
1 sec 3 4
1.5 sec 4 5
2 sec 5 6
2.5 sec 6 7
3 sec 7 8
3.5 sec 8 9
4 sec 9 10
4.5 sec 10 11
>> t = splitvars(t,'Var1')
t =
10×2 timetable
Time Var1_1 Var1_2
_______ ______ ______
0 sec 1 2
0.5 sec 2 3
1 sec 3 4
1.5 sec 4 5
2 sec 5 6
2.5 sec 6 7
3 sec 7 8
3.5 sec 8 9
4 sec 9 10
4.5 sec 10 11
>> stackedplot(t,"Var1_1")
