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How to differentiate the data in excel using a variable?

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Hello all,
I am trying to do a differentiation of a variable in excel data with respect to an other variable. For example in my case, the data which has a name in Y in excel has to be differentiated with respect to X. and I need each value after differentiation. Can someone please tell me how can i do it. I am attaching the excel data.
  5 comentarios
Vishnuvardhan Naidu Tanga
Vishnuvardhan Naidu Tanga el 19 de Nov. de 2022
hello @Jan
Thanks for your reply. I can import the data into matlab its not the issue. The issue is how can i integrate one coloum with respect to other?
Jan
Jan el 20 de Nov. de 2022
If you have imported the data already, it is useful to post a small example, how they are represented in Matlab.
You asked for a differentiation at first, but now for an integration. While gradient(x,t) does the first, trapz(x,t) does the second.

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Star Strider
Star Strider el 20 de Nov. de 2022
You can use the gradient function to calculate the numerical derivative —
T1 = readtable('https://www.mathworks.com/matlabcentral/answers/uploaded_files/1198533/matlab.xlsx')
T1 = 83×14 table
X1 Y1 X2 Y2 X3 Y3 X4 Y4 X5 Y5 X6 Y6 X7 Y7 _____ ______ _____ ______ _____ ______ _____ ______ _____ ______ _____ ______ _____ ______ 0 2.3438 0 1.9952 0 1.7367 0 1.5374 0 1.3791 0 1.2502 0 1.1433 0.002 2.3397 0.002 1.9926 0.002 1.735 0.002 1.5363 0.002 1.3782 0.002 1.2496 0.002 1.1428 0.004 2.328 0.004 1.9854 0.004 1.7303 0.004 1.533 0.004 1.3759 0.004 1.2478 0.004 1.1415 0.006 2.3081 0.006 1.9731 0.006 1.7221 0.006 1.5273 0.006 1.3717 0.006 1.2448 0.006 1.1391 0.008 2.2805 0.008 1.9559 0.008 1.7107 0.008 1.5194 0.008 1.366 0.008 1.2405 0.008 1.1359 0.01 2.2459 0.01 1.9342 0.01 1.6963 0.01 1.5093 0.01 1.3587 0.01 1.235 0.01 1.1317 0.012 2.2047 0.012 1.9083 0.012 1.6789 0.012 1.4971 0.012 1.3498 0.012 1.2284 0.012 1.1266 0.014 2.1574 0.014 1.8783 0.014 1.6587 0.014 1.4829 0.014 1.3395 0.014 1.2206 0.014 1.1206 0.016 2.1048 0.016 1.8445 0.016 1.6359 0.016 1.4668 0.016 1.3277 0.016 1.2117 0.016 1.1138 0.018 2.0475 0.018 1.8074 0.018 1.6106 0.018 1.4489 0.018 1.3146 0.018 1.2018 0.018 1.1061 0.02 1.986 0.02 1.7672 0.02 1.5831 0.02 1.4292 0.02 1.3001 0.02 1.1909 0.02 1.0976 0.022 1.921 0.022 1.7243 0.022 1.5535 0.022 1.408 0.022 1.2844 0.022 1.179 0.022 1.0884 0.024 1.8531 0.024 1.679 0.024 1.5219 0.024 1.3853 0.024 1.2676 0.024 1.1662 0.024 1.0784 0.026 1.7826 0.026 1.6316 0.026 1.4887 0.026 1.3612 0.026 1.2496 0.026 1.1524 0.026 1.0677 0.028 1.71 0.028 1.5825 0.028 1.4539 0.028 1.3358 0.028 1.2306 0.028 1.1379 0.028 1.0564 0.03 1.6376 0.03 1.5319 0.03 1.4178 0.03 1.3094 0.03 1.2107 0.03 1.1226 0.03 1.0444
[~,dx] = gradient(T1{:,1:2:end});
[~,dy] = gradient(T1{:,2:2:end});
dydx = dy ./ dx
dydx = 83×7
-2.0334 -1.2536 -0.8270 -0.5738 -0.4141 -0.3086 -0.2363 -3.9356 -2.4292 -1.6035 -1.1132 -0.8039 -0.5994 -0.4588 -7.9144 -4.8967 -3.2368 -2.2494 -1.6258 -1.2128 -0.9284 -11.8807 -7.3784 -4.8889 -3.4029 -2.4622 -1.8383 -1.4082 -15.5456 -9.7043 -6.4515 -4.5009 -3.2621 -2.4383 -1.8696 -18.9659 -11.9156 -7.9548 -5.5657 -4.0421 -3.0260 -2.3229 -22.1116 -13.9961 -9.3901 -6.5923 -4.7995 -3.5995 -2.7670 -24.9582 -15.9306 -10.7479 -7.5752 -5.5307 -4.1567 -3.2005 -27.4927 -17.7088 -12.0214 -8.5097 -6.2326 -4.6954 -3.6220 -29.7107 -19.3243 -13.2052 -9.3919 -6.9027 -5.2140 -4.0301
figure
for k = 1:size(dydx,2)
subplot(4,2,k)
yyaxis left
plot(T1{:,(2*k-1)}, T1{:,(2*k-1)+1})
ylim([0 4])
yyaxis right
plot(T1{:,(2*k-1)}, dydx(:,k))
xlim([0 0.2])
ylim([-40 0])
grid
title(sprintf('X%d,Y%d',[1 1]*k))
end
hl = legend('Data','Derivative');
hs42 = subplot(4,2,8);
hs42.Visible = 'off';
hl.Position = hs42.Position;
% figure % Check First & Last Assignments
% yyaxis left
% plot(T1.X1, T1.Y1, T1.X7, T1.Y7)
% yyaxis right
% plot(T1.X1,dydx(:,1), T1.X7,dydx(:,7))
% grid
This appears to me to be correct. Check it to be certain it produces the desired result.
.
  2 comentarios
Vishnuvardhan Naidu Tanga
Vishnuvardhan Naidu Tanga el 21 de Nov. de 2022
Thank you @Star Strider. I am getting the desired results.
Star Strider
Star Strider el 21 de Nov. de 2022
As always, my pleasure!
This was an interesting problem!
.

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