Extract data corresponding to particular dates

I have csv file that contains a variable data every minute along with datetime in the format '2019-01-01 00:00'.

I want to select all data corresponding to particular dates say 12th Jan, 19th Jan, 24th March.

I imported the csv file using readtable and then converted it to timetable. However I am not sure how to select all data corresponding to particular dates. Every selected day should contain 24x60 data values.

Answer 1

[Star Strider]

Therea re likely several ways to do this.

Using ismember —

DT = table(datetime('now')+days(0:364).', 'VariableNames',{'DateTime'});
Data = array2table(randn(365,4));
T1 = [DT Data]

T1 = 365×5 table
          DateTime            Var1        Var2         Var3         Var4   
    ____________________    ________    ________    __________    _________

    19-Nov-2022 00:40:28     0.28903      1.7824      -0.42572     -0.86779
    20-Nov-2022 00:40:28    -0.71076     0.57947    -0.0023525     -0.38715
    21-Nov-2022 00:40:28    -0.51868     0.71015      -0.89238      -1.3137
    22-Nov-2022 00:40:28      0.6492    -0.13016       -1.8767      0.58454
    23-Nov-2022 00:40:28     -0.8411    -0.40474       -1.0187     -0.66533
    24-Nov-2022 00:40:28     0.15967     -1.2587       0.42699     0.013385
    25-Nov-2022 00:40:28      1.1346    -0.69719       -2.0905       1.1758
    26-Nov-2022 00:40:28    -0.48899      1.1454       -1.2879     -0.54211
    27-Nov-2022 00:40:28        1.09     -1.0758      -0.25038      0.88284
    28-Nov-2022 00:40:28     0.95017      1.0033        0.4438      0.25697
    29-Nov-2022 00:40:28    0.036792     -1.1183       0.15631     -0.84292
    30-Nov-2022 00:40:28      1.6097      2.8056      -0.61026     -0.28756
    01-Dec-2022 00:40:28     -1.2952     -1.0689      -0.27795     -0.11305
    02-Dec-2022 00:40:28     0.08171    -0.47635      -0.81429    -0.098324
    03-Dec-2022 00:40:28    -0.47256     -2.5307      -0.12071     -0.12972
    04-Dec-2022 00:40:28    -0.16742      1.1085       0.41557       1.3831

[y,m,d] = ymd(T1.DateTime);
query = [1 12; 1 19; 3 24];
Lv = ismember([m d], query, 'rows');

Result = T1(Lv,:)

Result = 3×5 table
          DateTime            Var1        Var2        Var3         Var4  
    ____________________    ________    ________    _________    ________

    12-Jan-2023 00:40:28      -1.122    -0.34679     -0.33611    -0.72622
    19-Jan-2023 00:40:28     0.57756     -1.2852     -0.11349    -0.85142
    24-Mar-2023 00:40:28    -0.71207     -1.1141    -0.095867     0.19215

.

[Sayantan Sahu]

Thank you so much! it worked perfectly.

[Star Strider]

As always, my pleasure!