Plot multiple lines from multiple tables

I'm trying to process data from fortran and i want to plot the radius over time from lots of different tables that i've read using

filename7='24.dat'
T7=readtable(filename,"VariableNamingRule","preserve")
T7=renamevars(T7, ["Var1", "Var2", "Var3", "Var4"], ["Time","Ts","Rd","Teff"])

filename2='90.dat'
T2=readtable(filename2,"VariableNamingRule","preserve")
T2=renamevars(T2, ["Var1", "Var2", "Var3", "Var4"], ["Time","Ts","Rd", "Teff"])

but i've got up to 12 different tables named T1- 12

this is what i used to make individual plots

filename2='90.dat'
T2=readtable(filename2,"VariableNamingRule","preserve")
T2=renamevars(T2, ["Var1", "Var2", "Var3", "Var4"], ["Time","Ts","Rd", "Teff"])

plot(T2.Time, T2.Rd)
grid on
xlabel('Time [ms]')
ylabel('Droplet Radius [um]')
title('Pure SME Droplet Lifetime 90 QCs ')


filename7='24.dat'
T7=readtable(filename7,"VariableNamingRule","preserve")
T7=renamevars(T7, ["Var1", "Var2", "Var3", "Var4"], ["Time","Ts","Rd","Teff"])

plot(T7.Time, T7.Rd)
grid on
xlabel('Time [ms]')
ylabel('Droplet Radius [um]')
title('Pure SME Droplet Lifetime 24 QCs ')

How can i plot the a specific column (radius) from all the tables over time as its the same time step for all of them so i can end up with something similar to this:

Answer 1

[Stephen23]

By numbering your variables like that you have made the task a lot harder and more complex.

The simpler and much more efficient solution is to use indexing, something like this:

S = ["90.dat","24.dat"]; % string array of all filenames.
for k = 1:numel(S)
    T = readtable(S(k),"VariableNamingRule","preserve");
    T = renamevars(T, ["Var1", "Var2", "Var3", "Var4"], ["Time","Ts","Rd", "Teff"])
    plot(T.Time, T.Rd)
    hold on
end
grid on
xlabel('Time [ms]')
ylabel('Droplet Radius [um]')
title('Pure SME Droplet Lifetime')

Note that you can add a legend and supply the (possibly modified) filenames as labels for the plotted lines. You can also control the line color and linestyle, as explained in the plot documentation.

[Elodie Newman]

Thankyou!!!