Select multiple time ranges and variables in Timetable and create logical flag or filter

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Malik
Malik 2022-2-24
评论： Malik 2022-3-4
Hello there,
A:
I would like to select multiple time ranges simultaneously in a Timetable.
I am trying to Flag these periods in a column of its own.
Currently, I have to do this twice, with two separate columns, as below, I would rather have one single flag:
Data{1}.Timestamp_Filter1 = Data{1}.Timestamp >= datetime("2020-01-01") & Data{1}.Timestamp <= datetime("2020-01-02");
Data{1}.Timestamp_Filter2 = Data{1}.Timestamp >= datetime("2022-01-01") & Data{1}.Timestamp <= datetime("2022-01-02");
I have already refered to:
https://uk.mathworks.com/help/matlab/matlab_prog/subscript-into-times-of-timetable.html?searchHighlight=select%20multiple%20time%20ranges&s_tid=srchtitle_select%20multiple%20time%20ranges_1
B:
Similarly, but not for time ranges
Data{1}.angle_Filter3 = Data{idx}.angle >= 10 & Data{1}.angle <= 20;
Data{1}.angle_Filter4 = Data{idx}.angle >= 30 & Data{1}.angle <= 40;
How, can I do this once?
Support would be apprecaited. Thank you very much!

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Seth Furman
Seth Furman 2022-2-28
Ran in:
In this case we already know how to compute the rows we want using logical vectors, which we can use to index into the timetable directly.
TT = readtimetable("outages.csv")
TT = 1468×5 timetable
OutageTime Region Loss Customers RestorationTime Cause ________________ _____________ ______ __________ ________________ ___________________ 2002-02-01 12:18 {'SouthWest'} 458.98 1.8202e+06 2002-02-07 16:50 {'winter storm' } 2003-01-23 00:49 {'SouthEast'} 530.14 2.1204e+05 NaT {'winter storm' } 2003-02-07 21:15 {'SouthEast'} 289.4 1.4294e+05 2003-02-17 08:14 {'winter storm' } 2004-04-06 05:44 {'West' } 434.81 3.4037e+05 2004-04-06 06:10 {'equipment fault'} 2002-03-16 06:18 {'MidWest' } 186.44 2.1275e+05 2002-03-18 23:23 {'severe storm' } 2003-06-18 02:49 {'West' } 0 0 2003-06-18 10:54 {'attack' } 2004-06-20 14:39 {'West' } 231.29 NaN 2004-06-20 19:16 {'equipment fault'} 2002-06-06 19:28 {'West' } 311.86 NaN 2002-06-07 00:51 {'equipment fault'} 2003-07-16 16:23 {'NorthEast'} 239.93 49434 2003-07-17 01:12 {'fire' } 2004-09-27 11:09 {'MidWest' } 286.72 66104 2004-09-27 16:37 {'equipment fault'} 2004-09-05 17:48 {'SouthEast'} 73.387 36073 2004-09-05 20:46 {'equipment fault'} 2004-05-21 21:45 {'West' } 159.99 NaN 2004-05-22 04:23 {'equipment fault'} 2002-09-01 18:22 {'SouthEast'} 95.917 36759 2002-09-01 19:12 {'severe storm' } 2003-09-27 07:32 {'SouthEast'} NaN 3.5517e+05 2003-10-04 07:02 {'severe storm' } 2003-11-12 06:12 {'West' } 254.09 9.2429e+05 2003-11-17 02:04 {'winter storm' } 2004-09-18 05:54 {'NorthEast'} 0 0 NaT {'equipment fault'}
rowTimes = TT.Properties.RowTimes;
isJan = month(rowTimes) == 1;
is1stThrough3rd = 1 <= day(rowTimes) & day(rowTimes) <= 3;
is2000s = 2000 <= year(rowTimes) & year(rowTimes) <= 2009;
isJan1stThrough3rd2000s = isJan & is1stThrough3rd & is2000s;
TT(isJan1stThrough3rd2000s, :)
ans = 5×5 timetable
OutageTime Region Loss Customers RestorationTime Cause ________________ _____________ ______ __________ ________________ ____________________ 2005-01-02 03:26 {'MidWest' } 603.69 1.3631e+05 2005-01-14 05:15 {'winter storm' } 2006-01-02 04:55 {'NorthEast'} NaN 33134 2006-01-02 15:12 {'wind' } 2005-01-02 15:57 {'SouthEast'} 0 0 2005-01-02 16:29 {'energy emergency'} 2006-01-01 11:54 {'West' } 734.11 4.26e+06 2006-01-11 01:21 {'winter storm' } 2007-01-01 16:01 {'West' } 180.24 81389 2007-01-02 03:21 {'severe storm' }

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