how to plot a diagram that includes many excel data?

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Athena Argyropoulou
Athena Argyropoulou el 28 de Feb. de 2024
Comentada: Star Strider el 29 de Feb. de 2024
hello everyone. I have a problem with finding an approprieate program in matlab.
I have specifically 173 excel files including a sheet of time data and a sheet of many concentration data from different chemical compounds. The excel files are connected as the time continues in every file. My task is to find the averages of both time and concentration per 5 minutes and per 1 hour and plot seperately each chemical compound concentration with time ( one diagram every time). The problem is that i dont know how to insert all of the excel files and connect the data
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Athena Argyropoulou
Athena Argyropoulou el 28 de Feb. de 2024
these are two of the excel files. all of them are in the same pattern
Athena Argyropoulou
Athena Argyropoulou el 28 de Feb. de 2024
the sheets that i use are timecycle and concentration

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Star Strider
Star Strider el 28 de Feb. de 2024
Editada: Star Strider el 29 de Feb. de 2024
One approach is to read the files in to separate cell arrays, then vertically concatenate them, and then choose the ‘Absolute Time’ column from the concatenated ‘Time’ sheet and horizontally concatenate it with the ‘Concentration’ sheet to get the result.
Try this —
files = dir('*.xlsx');
for k = 1:numel(files)
shnm = sheetnames(files(k).name);
% Choose_Sheets = shnm([2 4])
Time{k,:} = readtable(files(k).name, 'VariableNamingRule','preserve', 'Sheet',2);
Start_Stop = Time{k}([1 end],:)
Conc{k,:} = readtable(files(k).name, 'VariableNamingRule','preserve', 'Sheet',4);
end
Start_Stop = 2×3 table
Cycle number Absolute Time Relative Time ____________ ____________________ _____________ 1 02-Oct-2023 12:15:27 11.508 1251 02-Oct-2023 16:15:13 14398
Start_Stop = 2×3 table
Cycle number Absolute Time Relative Time ____________ ____________________ _____________ 1 02-Oct-2023 16:15:25 14410 1251 02-Oct-2023 20:15:10 28795
Timevc = vertcat(Time{:});
Concvc = vertcat(Conc{:});
Time_Conc = [Timevc(:,2) Concvc]
Time_Conc = 2502×49 table
Absolute Time m/z 41.00 ch1 m/z 31.00 ch3 m/z 33.00 ch5 m/z 42.00 ch7 m/z 43.00 ch8 m/z 45.00 ch9 m/z 47.00 ch10 m/z 57.00 ch11 m/z 59.00 ch12 m/z 61.00 ch13 m/z 63.00 ch14 m/z 66.00 ch15 m/z 69.00 ch16 m/z 71.00 ch17 m/z 73.00 ch18 m/z 75.00 ch19 m/z 79.00 ch20 m/z 81.00 ch21 m/z 83.00 ch22 m/z 85.00 ch23 m/z 87.00 ch24 m/z 91.00 ch25 m/z 93.00 ch26 m/z 95.00 ch27 m/z 99.00 ch28 m/z 101.00 ch29 m/z 103.00 ch30 m/z 105.00 ch31 m/z 107.00 ch32 m/z 113.00 ch33 m/z 115.00 ch34 m/z 121.00 ch35 m/z 129.00 ch36 m/z 135.00 ch37 m/z 137.00 ch38 m/z 139.00 ch39 m/z 147.00 ch40 m/z 149.00 ch41 m/z 151.00 ch42 m/z 163.00 ch43 m/z 181.00 ch44 m/z 88.00 ch45 m/z 59.00 ch46 m/z 169.00 ch47 m/z 155.00 ch48 m/z 211.00 ch49 m/z 225.00 ch50 m/z 247.00 ch51 ____________________ _____________ _____________ _____________ _____________ _____________ _____________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ ______________ _______________ _______________ _______________ _______________ _______________ _______________ _______________ _______________ _______________ _______________ _______________ _______________ _______________ _______________ _______________ _______________ ______________ ______________ _______________ _______________ _______________ _______________ _______________ 02-Oct-2023 12:15:27 3.6024 1.5815 14.218 0.35421 3.3947 3.5504 3.9886 8.6435 4.9049 2.8098 0.80691 0.15605 0.45607 0.15038 1.0485 0.14984 0.4506 0 0 0.075618 0.15167 1.5257 1.6068 0.30694 0.23136 0.37092 0.30957 0.077469 1.3949 0 0 0.43205 0.2306 0.21488 0.21485 0 0.082288 0.084869 0 0.12916 0 0 4.9894 0 0.096717 0 0 -748.93 02-Oct-2023 12:15:38 3.0883 2.2429 10.082 0.6698 3.6681 2.3695 3.2325 7.7053 4.5233 1.3395 0.52314 0 0.43121 0.12187 0.48555 0 0.24345 0.12196 0 0.061282 0.43019 0.61824 0.93013 0.18656 0.1875 0.2505 0.25088 0.31391 0.92949 0.3137 0.12539 0.45017 0.18688 0.17414 0.12437 0.12473 0.066687 0.20634 0.071367 0.10467 0 0 4.3176 0 0.078381 0 -606.94 0 02-Oct-2023 12:15:50 3.1293 1.2239 11.003 0.54825 0.87572 3.3942 5.865 5.3514 4.974 1.2791 0 0 0.058826 0.46552 0.5796 0.57979 0.058121 0.058234 0.23347 0.23409 0.17606 0.59039 0.94744 0.23754 0.3581 0.28705 0.23958 0 0.98358 0.23965 0 0.42989 0 0.11878 0.071261 0 0 0.065681 0 0.099957 0 0 5.2357 0 0.07485 0 0 0 02-Oct-2023 12:16:01 3.5889 1.3704 7.7003 0.51156 1.9611 4.5243 4.666 8.239 5.1296 2.8645 0.41953 0 0.1976 0.39093 0.64897 0.12984 0.065077 0.19561 0.26142 0.26211 0.39427 1.3221 1.5913 0.19948 0.20048 0.3482 0 0.20139 1.0476 0.20125 0.26815 0.40112 0.26643 0.1596 0.18618 0.26673 0 0.14708 0.07631 0.11192 0 0 6.6685 0.1607 0 0 0 0 02-Oct-2023 12:16:13 3.2472 2.7097 17.594 0.44956 0 3.0217 3.3411 7.8986 5.6671 1.888 0.12289 0 0.23154 0 0.45625 0.1141 0.11438 0.1146 0.11487 0 0.28874 1.7428 1.0488 0.11687 0.23491 0.28246 0 0.11799 0.75538 0.11791 0.058912 0.47001 0.1756 0.046752 0.046747 0.058601 0 0 0 0 0 0 6.1823 0 0.1473 0 0 0 02-Oct-2023 12:16:24 3.0522 2.264 10.177 0.25354 4.8598 4.3352 3.2833 6.8057 4.7215 1.6563 0.34655 0 0.21764 0.32292 0.7505 0.75076 0.16127 0.10772 0.10797 0.10825 0.21712 0.54606 1.0406 0.10985 0.38642 0.2655 0 0.16636 0.73222 0.11083 0.11075 0.37552 0.11004 0.10986 0.10985 0 0 0 0.12607 0 0 0 5.9927 0 0.20769 0 0 -536.07 02-Oct-2023 12:16:36 2.8783 1.9641 15.135 0.92171 1.6061 2.5196 2.8306 7.9744 5.6414 1.8768 0.11453 0 0.16183 0.42688 0.5315 0.10633 0.21319 0.053401 0.10705 0.053665 0.16145 0.54139 0.76021 0.054456 0.16419 0.21936 0 0.21991 0.87995 0 0.054902 0.63513 0.054551 0.065356 0.087129 0.054612 0 0 0.062496 0.091662 0 0 6.4216 0 0 0 0 0 02-Oct-2023 12:16:47 3.0769 1.4347 12.898 0.34276 7.3911 2.7283 3.4737 6.2731 4.419 2.0392 0.35137 0 0.331 0.32741 0.54353 0.21749 0.10901 0.16383 0.27368 0.21952 0.55036 2.2146 1.2217 0.11138 0.055971 0.33649 0 0.22489 0.7874 0 0.056145 0.42554 0.16736 0.13367 0.044552 0.055849 0 0.12319 0.063912 0 0 0 5.2168 0.13459 0 0 0 0 02-Oct-2023 12:16:59 2.7264 1.7892 12.064 0.71244 0.85348 4.5682 3.1589 8.4753 4.8477 2.4933 0.36517 0 0.172 0.22685 0.90381 0.22603 0.22658 0.056755 0.17066 0.11407 0.22879 1.1508 1.3274 0.057877 0.17451 0.32639 0 0.058432 0.8417 0.058392 0.05835 0.60519 0 0.16207 0.1389 0 0 0 0 0 0 0 5.9958 0.27975 0 0 0 0 02-Oct-2023 12:17:10 2.7664 1.7002 15.286 0.677 2.433 3.4428 4.1452 4.956 5.5762 2.0139 0.57833 0 0.21792 0.43112 0.53677 0.10739 0.10765 0.10786 0.21622 0.054198 0.27176 0 1.2613 0.10999 0.11055 0.288 0 0.11105 0.88869 0.16646 0.055447 0.53084 0.16528 0.11001 0.065996 0.055154 0 0 0.063117 0 0 0 5.6368 0 0 0 0 0 02-Oct-2023 12:17:22 2.9668 0.88912 14.655 0.44254 1.6965 3.6008 3.7375 9.7191 4.1839 2.7258 0.60487 0 0.11396 0.33818 0.56141 0.44928 0.33778 0.22562 0.28269 0.3968 0.22738 1.1437 1.0898 0.11504 0.28906 0.37073 0.23206 0.11615 0.90624 0.058033 0.11598 0.4858 0.17286 0.2071 0.11504 0.057686 0 0.12724 0 0 0 0 6.2125 0.13902 0.145 0 0 0 02-Oct-2023 12:17:33 3.0033 1.3923 13.769 0.91477 3.9849 2.6477 3.7926 3.6527 6.0754 1.979 0.341 0 0.10708 0.21183 0.211 0.21107 0.26448 0.21199 0.26561 0.15978 0.10682 1.0746 1.1856 0.10809 0.16295 0.17416 0 0.16369 1.0698 0.054526 0.16346 0.47819 0.10828 0.23783 0.064855 0.0542 0 0 0 0 0 0 5.8967 0.13062 0 0 0 0 02-Oct-2023 12:17:45 3.0914 2.3609 10.613 0.52879 2.5339 2.4942 2.9772 10.968 6.0598 1.4805 0.6023 0 0.11348 0.2245 0.44721 0.22368 0.16817 0.22466 0.22519 0.22578 0.39622 0.56943 1.1994 0.057276 0 0.32301 0 0.11565 0.90238 0.057786 0.23098 0.57587 0.17213 0.22913 0.11455 0 0 0 0 0 0 0 6.1861 0 0.072193 -559.02 0 0 02-Oct-2023 12:17:56 2.6209 1.9345 13.665 0.33012 1.5819 3.7956 4.6003 9.6669 6.0294 1.5019 0.22561 0 0.21253 0.10511 0.6282 0.3142 0.20998 0.31558 0.10544 0.26429 0.31804 0 1.0162 0.21455 0.053907 0.30248 0.64917 0.27075 0.8017 0.16234 0.10815 0.62557 0 0.042915 0.042909 0.10758 0 0.059323 0 0 -1047 0 5.3201 0 0.067605 0 0 0 02-Oct-2023 12:18:08 3.2821 2.8198 16.901 0.37427 2.6901 4.1376 3.0028 7.5346 4.6911 1.5718 0.25578 0 0.18071 0.11917 0.3561 0.23748 0.4166 0.11926 0.23907 0.17977 0.42066 1.2091 1.3946 0.18243 0.061115 0.24495 0 0.061391 0.93347 0.18405 0.061306 0.41574 0.12183 0.19461 0.17026 0.060982 0.065211 0.13451 0 0.10235 0 0 5.0932 0 0 0 0 0 02-Oct-2023 12:18:19 3.3766 1.7959 16.146 0.53631 0.85664 3.7946 3.4725 11.124 6.9143 1.5015 0.4887 0.11814 0.34527 0.68307 0.45358 0.3403 0.28427 0 0.17129 0.11449 0.34445 1.1551 1.1585 0.058091 0.17515 0.2106 0 0.1173 0.89175 0.11722 0.3514 0.44389 0.058192 0.16268 0.092946 0 0 0.19275 0 0.09778 0 0.22997 4.8656 0 0.07322 0 0 0
VN = Time_Conc.Properties.VariableNames;
figure
plot(Time_Conc{:,1}, Time_Conc{:,2:6}) % Plot Some Example Data
grid
xlabel('Time')
ylabel('Concentration')
title('Concentration Data')
legend(VN{2:6}, 'Location','best')
EDIT — (29 Feb 2024 at 01:37)
If the Excel files are not imported in sorted order, to sort them by time, add:
Time_Conc = sortrows(Time_Conc,1);
after creating the concatenated ‘Time_Conc’ table (in my code, name it appropriately for your needs).
.
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Athena Argyropoulou
Athena Argyropoulou el 29 de Feb. de 2024
thank you so much i will try it!!
Star Strider
Star Strider el 29 de Feb. de 2024
As always, my pleasure!

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