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How to merge two timetables with different data and time?

16 vues (au cours des 30 derniers jours)
Wolfgang McCormack
Wolfgang McCormack le 18 Jan 2021
Hi everyone, I had a nice and clean time table that I had to extract some sections of it for calculations during different hours of day. For example Jan to May 10 to 14 and 0 to 10 and 14 to 00. Now I have three time tables from the extracted one. I want to merge them again so that I will have one clean timetable with only one column of data rather than 3 columns with NaN (that what I am getting). Also, [T1;T2] is not working and retrns the following error:
All tables in the bracketed expression must have the same number of rows.
  5 commentaires
Wolfgang McCormack
Wolfgang McCormack le 10 Mar 2021
@Adam Danz Hi, could you please post this to the answer so that I can mark it as the answer?
Adam Danz
Adam Danz le 10 Mar 2021
Done. Thanks, Wolfgang.

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Réponse acceptée

Adam Danz
Adam Danz le 10 Mar 2021
> [T1;T2] is not working and retrns the following error: All tables in the bracketed expression must have the same number of rows.
This is fishy. The example below shows that a vertical concatenation is perfectly fine when the tables have a different number of rows.
Please share
  1. the result of head(T) for each table
  2. the line of code where you're doing the concatenation
  3. the entire error message.
Demo:
T1 = array2timetable((1:3)'.*ones(1,4), 'RowTimes', datetime('today')+(0:2))
T1 = 3x4 timetable
Time Var1 Var2 Var3 Var4 ___________ ____ ____ ____ ____ 10-Mar-2021 1 1 1 1 11-Mar-2021 2 2 2 2 12-Mar-2021 3 3 3 3
T2 = array2timetable((1:5)'.*ones(1,4), 'RowTimes', datetime('today')+(0:4))
T2 = 5x4 timetable
Time Var1 Var2 Var3 Var4 ___________ ____ ____ ____ ____ 10-Mar-2021 1 1 1 1 11-Mar-2021 2 2 2 2 12-Mar-2021 3 3 3 3 13-Mar-2021 4 4 4 4 14-Mar-2021 5 5 5 5
T = [T1; T2]
T = 8x4 timetable
Time Var1 Var2 Var3 Var4 ___________ ____ ____ ____ ____ 10-Mar-2021 1 1 1 1 11-Mar-2021 2 2 2 2 12-Mar-2021 3 3 3 3 10-Mar-2021 1 1 1 1 11-Mar-2021 2 2 2 2 12-Mar-2021 3 3 3 3 13-Mar-2021 4 4 4 4 14-Mar-2021 5 5 5 5

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