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how to create a timetable from a datetime array and a matrix?

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I like to create a timetable from a datetime array and a matrix.
d = datetime('2021-01-01'):caldays(1):datetime('2021-01-10');
m = rand(10,5);
t = timetable(d', m)
The resulting table is as blow.
Time m
___________ _______________________________________________________
01-Jan-2021 0.95929 0.34998 0.28584 0.12991 0.60198
02-Jan-2021 0.54722 0.1966 0.7572 0.56882 0.26297
03-Jan-2021 0.13862 0.25108 0.75373 0.46939 0.65408
04-Jan-2021 0.14929 0.61604 0.38045 0.011902 0.68921
05-Jan-2021 0.25751 0.47329 0.56782 0.33712 0.74815
06-Jan-2021 0.84072 0.35166 0.075854 0.16218 0.45054
07-Jan-2021 0.25428 0.83083 0.05395 0.79428 0.083821
08-Jan-2021 0.81428 0.58526 0.5308 0.31122 0.22898
09-Jan-2021 0.24352 0.54972 0.77917 0.52853 0.91334
10-Jan-2021 0.92926 0.91719 0.93401 0.16565 0.15238
But, I like to create the resulting table with 5 columns as below.
Time A B C D E
___________ _______________________________________________________
01-Jan-2021 0.95929 0.34998 0.28584 0.12991 0.60198
02-Jan-2021 0.54722 0.1966 0.7572 0.56882 0.26297
03-Jan-2021 0.13862 0.25108 0.75373 0.46939 0.65408
04-Jan-2021 0.14929 0.61604 0.38045 0.011902 0.68921
05-Jan-2021 0.25751 0.47329 0.56782 0.33712 0.74815
06-Jan-2021 0.84072 0.35166 0.075854 0.16218 0.45054
07-Jan-2021 0.25428 0.83083 0.05395 0.79428 0.083821
08-Jan-2021 0.81428 0.58526 0.5308 0.31122 0.22898
09-Jan-2021 0.24352 0.54972 0.77917 0.52853 0.91334
10-Jan-2021 0.92926 0.91719 0.93401 0.16565 0.15238
So I tried the following code to give different names to each column, but it does not work.
t.Properties.VariableNames = {'A', 'B', 'C', 'D', 'E'}
Thank you very much for the help in advance.

Accepted Answer

Walter Roberson
Walter Roberson on 15 Jul 2021
Edited: Walter Roberson on 15 Jul 2021
d = datetime('2021-01-01'):caldays(1):datetime('2021-01-10');
m = rand(10,5);
t = array2table(m, 'VariableNames', {'A', 'B', 'C', 'D', 'E'})
t = 10×5 table
A B C D E ________ ________ _________ ________ _______ 0.98979 0.91374 0.2907 0.16664 0.85502 0.037379 0.19918 0.45673 0.96181 0.55476 0.16478 0.66507 0.72775 0.66474 0.44108 0.96658 0.74907 0.096927 0.34676 0.32186 0.33786 0.033472 0.94875 0.84561 0.43635 0.62363 0.82431 0.50066 0.99156 0.50445 0.76383 0.24839 0.37759 0.31366 0.54562 0.26933 0.50286 0.98601 0.020343 0.39307 0.53943 0.27297 0.47952 0.30908 0.33387 0.38275 0.31086 0.0038893 0.29516 0.34232
tt = table2timetable(t, 'RowTimes', d.')
tt = 10×5 timetable
Time A B C D E ___________ ________ ________ _________ ________ _______ 01-Jan-2021 0.98979 0.91374 0.2907 0.16664 0.85502 02-Jan-2021 0.037379 0.19918 0.45673 0.96181 0.55476 03-Jan-2021 0.16478 0.66507 0.72775 0.66474 0.44108 04-Jan-2021 0.96658 0.74907 0.096927 0.34676 0.32186 05-Jan-2021 0.33786 0.033472 0.94875 0.84561 0.43635 06-Jan-2021 0.62363 0.82431 0.50066 0.99156 0.50445 07-Jan-2021 0.76383 0.24839 0.37759 0.31366 0.54562 08-Jan-2021 0.26933 0.50286 0.98601 0.020343 0.39307 09-Jan-2021 0.53943 0.27297 0.47952 0.30908 0.33387 10-Jan-2021 0.38275 0.31086 0.0038893 0.29516 0.34232
.... or
t = timetable('RowTimes', d.')
t = 10×0 empty timetable
t.A = m(:,1); t.B = m(:,2); t.C = m(:,3); t.D = m(:,4); t.E = m(:,5);
t
t = 10×5 timetable
Time A B C D E ___________ ________ ________ _________ ________ _______ 01-Jan-2021 0.98979 0.91374 0.2907 0.16664 0.85502 02-Jan-2021 0.037379 0.19918 0.45673 0.96181 0.55476 03-Jan-2021 0.16478 0.66507 0.72775 0.66474 0.44108 04-Jan-2021 0.96658 0.74907 0.096927 0.34676 0.32186 05-Jan-2021 0.33786 0.033472 0.94875 0.84561 0.43635 06-Jan-2021 0.62363 0.82431 0.50066 0.99156 0.50445 07-Jan-2021 0.76383 0.24839 0.37759 0.31366 0.54562 08-Jan-2021 0.26933 0.50286 0.98601 0.020343 0.39307 09-Jan-2021 0.53943 0.27297 0.47952 0.30908 0.33387 10-Jan-2021 0.38275 0.31086 0.0038893 0.29516 0.34232
.... or
t = [timetable('RowTimes', d.'), array2table(m, 'VariableNames', {'A', 'B', 'C', 'D', 'E'})]
t = 10×5 timetable
Time A B C D E ___________ ________ ________ _________ ________ _______ 01-Jan-2021 0.98979 0.91374 0.2907 0.16664 0.85502 02-Jan-2021 0.037379 0.19918 0.45673 0.96181 0.55476 03-Jan-2021 0.16478 0.66507 0.72775 0.66474 0.44108 04-Jan-2021 0.96658 0.74907 0.096927 0.34676 0.32186 05-Jan-2021 0.33786 0.033472 0.94875 0.84561 0.43635 06-Jan-2021 0.62363 0.82431 0.50066 0.99156 0.50445 07-Jan-2021 0.76383 0.24839 0.37759 0.31366 0.54562 08-Jan-2021 0.26933 0.50286 0.98601 0.020343 0.39307 09-Jan-2021 0.53943 0.27297 0.47952 0.30908 0.33387 10-Jan-2021 0.38275 0.31086 0.0038893 0.29516 0.34232
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