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

Question

Malik 2022-2-24

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1657745-select-multiple-time-ranges-and-variables-in-timetable-and-create-logical-flag-or-filter

评论： Malik 2022-3-4

采纳的回答： Seth Furman

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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Answer 1

Seth Furman 2022-2-28

1
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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1657745-select-multiple-time-ranges-and-variables-in-timetable-and-create-logical-flag-or-filter#answer_906595

在 MATLAB Online 中打开

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
OutageTimeRegionLossCustomersRestorationTimeCause________________________________________________________________________________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'    }