T1 = readtable('https://www.mathworks.com/matlabcentral/answers/uploaded_files/1103385/sample.csv')
T1 = 1868×33 table
Var1 C0 C1 C2 C3 C4 C5 C6 C7 H0 H1 H2 H3 H4 H5 H6 H7 R0 R1 R2 R3 R4 R5 R6 R7 Z0 Z1 Z2 Z3 Z4 Z5 Z6 Z7
______ _________ _________ ________ ________ ________ _________ _________ _________ _________ _________ ________ _________ _________ _________ _________ ________ _________ ________ ________ ________ ________ ________ _________ _________ ________ _________ _________ _________ _________ _________ _________ _________
4000.4 0.0030977 0.0068682 0.010064 0.013078 0.012625 0.0091874 0.00734 0.0096967 0.0082328 0.0084078 0.015286 0.0034295 0.0026153 0.0036699 0.0087307 0.012609 0.0016383 0.011388 0.010033 0.012429 0.01759 0.011811 0.0078433 0.008815 0.01212 0.006157 0.0086189 0.0067927 0.0058852 0.0046381 0.0044672 0.0048745
3998.4 0.0031007 0.0068682 0.010058 0.013089 0.012625 0.0091916 0.007349 0.0096967 0.0082328 0.0083902 0.015284 0.0034215 0.0026231 0.0036668 0.0087243 0.012611 0.0016342 0.011406 0.010041 0.012429 0.017658 0.011811 0.0078433 0.008815 0.012127 0.006157 0.0086171 0.0067927 0.0058852 0.0046435 0.0044798 0.0048745
3996.5 0.0031007 0.0068733 0.010058 0.01309 0.012605 0.0091966 0.00734 0.0097045 0.008242 0.0083902 0.015331 0.0034215 0.0026231 0.0036447 0.0087158 0.012608 0.0016318 0.011381 0.010048 0.012511 0.017746 0.011802 0.0078433 0.008815 0.012137 0.0061542 0.0086133 0.0067927 0.0058889 0.0046435 0.0044718 0.0048527
3994.6 0.0031041 0.006879 0.010052 0.013082 0.012605 0.0091966 0.007349 0.0097132 0.0082506 0.0084228 0.015373 0.0034295 0.0026201 0.0036402 0.0087158 0.012614 0.0016316 0.011381 0.010051 0.012511 0.017775 0.011802 0.0078388 0.0088022 0.012128 0.0061256 0.0086133 0.0067999 0.0058939 0.0046381 0.0044693 0.0048522
3992.6 0.0031261 0.0068842 0.010049 0.013085 0.012608 0.0092082 0.0073621 0.0097193 0.0082506 0.0084438 0.015384 0.0034295 0.0026153 0.0036496 0.0087158 0.012614 0.0016485 0.01138 0.010051 0.012553 0.01777 0.011777 0.0078367 0.0088082 0.012134 0.0061542 0.0085942 0.0067999 0.0058996 0.0046435 0.0044755 0.0048522
3990.7 0.003149 0.0068842 0.010047 0.013085 0.012612 0.009217 0.0073621 0.0097193 0.0082649 0.0084438 0.015417 0.0034344 0.002612 0.0036496 0.0087158 0.012612 0.0016529 0.01138 0.010051 0.012589 0.01777 0.011777 0.0078344 0.0088175 0.012141 0.0061256 0.0085942 0.0067999 0.0058996 0.0046883 0.0044755 0.0048547
3988.8 0.0031371 0.0068891 0.010046 0.01309 0.012616 0.009225 0.0073927 0.0097343 0.0082706 0.0084543 0.015445 0.0034344 0.0026171 0.0036538 0.0087027 0.012607 0.0016687 0.011378 0.010056 0.012606 0.017797 0.011785 0.0078304 0.0088263 0.012147 0.0061259 0.0085919 0.0068098 0.0059348 0.0047103 0.0044869 0.0048894
3986.9 0.0031404 0.0068916 0.010047 0.013093 0.01262 0.0092359 0.0074187 0.0097409 0.0082755 0.0084739 0.015463 0.00344 0.0026321 0.0036668 0.0086982 0.012606 0.0016367 0.011373 0.010061 0.012621 0.017806 0.011791 0.0078261 0.0088357 0.012161 0.0061266 0.0085918 0.0068175 0.0059713 0.0046883 0.0044891 0.0049132
3984.9 0.0031625 0.0068956 0.010049 0.013097 0.012625 0.0092414 0.0074187 0.0097376 0.0082797 0.0084739 0.01548 0.003466 0.0026345 0.0036884 0.0086951 0.012607 0.0016342 0.011373 0.010067 0.012632 0.017809 0.011791 0.0078261 0.0088458 0.012171 0.0061258 0.0085935 0.0068175 0.0059878 0.004699 0.0044869 0.0049132
3983 0.003149 0.0069 0.01005 0.013097 0.012631 0.0092414 0.0074316 0.0097459 0.0082799 0.0084784 0.015493 0.0034691 0.0026345 0.0036839 0.0086883 0.01261 0.001633 0.011375 0.010067 0.012638 0.017812 0.0118 0.0078261 0.0088576 0.012179 0.006126 0.0085961 0.0068152 0.0060109 0.0047103 0.0044869 0.0049013
3981.1 0.0031404 0.0069047 0.010052 0.01311 0.012638 0.0092543 0.0074527 0.009755 0.0082828 0.0084643 0.015504 0.0034745 0.0026505 0.003693 0.0086932 0.012608 0.0016316 0.011376 0.010062 0.012644 0.017816 0.01181 0.0078207 0.0088576 0.012179 0.0061284 0.0085961 0.0068175 0.0059878 0.0047354 0.0044919 0.0049357
3979.1 0.0031625 0.006909 0.010052 0.01311 0.012649 0.0092543 0.0074614 0.009755 0.0082857 0.008468 0.015515 0.0034897 0.0027131 0.0037029 0.0086944 0.012595 0.0016352 0.011376 0.010069 0.01265 0.017816 0.011822 0.0078176 0.0088695 0.012183 0.006126 0.0085989 0.0068196 0.0059713 0.0047354 0.0044883 0.0049357
3977.2 0.0031445 0.0069117 0.010057 0.013116 0.012657 0.0092543 0.0074527 0.009755 0.0082892 0.0084715 0.015524 0.0034805 0.0026556 0.0036884 0.0086944 0.012602 0.0016402 0.01138 0.010081 0.012656 0.017822 0.011822 0.0078147 0.0088807 0.012183 0.0061284 0.0086066 0.0068196 0.0059713 0.0047354 0.0044883 0.0049013
3975.3 0.0031445 0.0069135 0.01006 0.013118 0.012657 0.0092599 0.0074527 0.0097636 0.0082892 0.0084715 0.015524 0.003466 0.0026303 0.0036762 0.0086932 0.012602 0.0016383 0.011391 0.010081 0.012657 0.017812 0.011818 0.0078113 0.0089084 0.012165 0.0061312 0.0086116 0.0068288 0.0060029 0.0047354 0.0044936 0.0049132
3973.4 0.0031666 0.0069148 0.010063 0.01313 0.012674 0.0092714 0.0074681 0.0097716 0.0082898 0.0084735 0.015536 0.003466 0.0026288 0.0036797 0.0086932 0.012613 0.0016633 0.011397 0.010087 0.012635 0.017818 0.011836 0.0078113 0.0089138 0.012183 0.0061272 0.0086178 0.0068326 0.0060189 0.0047547 0.0044951 0.0049357
3971.4 0.0031415 0.0069178 0.010071 0.013136 0.012691 0.0092783 0.0074735 0.0097872 0.0082893 0.0084773 0.015535 0.0034805 0.0026345 0.0037089 0.0086951 0.012632 0.0015915 0.011397 0.010095 0.012639 0.017818 0.011855 0.0078037 0.0089199 0.012191 0.0061272 0.0086178 0.0068326 0.0060306 0.0047806 0.0044974 0.0049631
% T1.Properties.VariableNames{2:end}
linelbls = T1.Properties.VariableNames(2:end);
L = size(T1,2)-1;
cm = colormap(turbo(L))
cm = 32×3
0.1900 0.0718 0.2322
0.2258 0.1661 0.4566
0.2523 0.2573 0.6429
0.2692 0.3454 0.7912
0.2766 0.4304 0.9014
0.2746 0.5122 0.9736
0.2526 0.5930 0.9987
0.2031 0.6743 0.9708
0.1465 0.7521 0.9067
0.1035 0.8220 0.8240
mrkr = ['o+*.x_|sd^v><ph'];
Lmrkr = numel(mrkr);
hold on
for k = 1:L
mkridx = k;
if k > Lmrkr
mkridx = rem(k,Lmrkr) + 1;
end
plot(T1{:,1},T1{:,k+1}, '-', 'Color',cm(k,:), 'Marker',mrkr(mkridx), 'DisplayName',sprintf('Variable %s',linelbls{k}))
end
hold off
legend('NumColumns',2, 'Location','eastoutside')
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1103465/image.png)
This does what you requested, however it might be best to use subplot (or one of its friends, such as tiledlayout or stackedplot), rather than to plot all these together in one plot.
.