Compare dates between a matrix and a given range and read the values

3 vues (au cours des 30 derniers jours)
acun67 acu
acun67 acu le 31 Mar 2021
Commenté : DGM le 31 Mar 2021
I have some Text file where values (>thousands) are wriiten like this:-
Dates Time Values1 Values2 Values3
31/03/2021 15:01:34 56.45 89.85324 1000.98
31/03/2021 15:06:34 78.34 90.75836 1000.99
1/04/2021 9:01:34 60.29 72.89434 1001.50
2/03/2021 13:01:34 72.56 60.35986 1001.68
..... Upto thousnds of values
I want to check this file with a date range like (31/03/2021 15:01:34 to 31/03/21 to 15:06:34) or (1/04/2021 to 2/03/201)
and if this range is available I read those values from their corresponding tables.
Is there any short method to do this.
Please help me in this matter.

Réponse acceptée

Adam Danz
Adam Danz le 31 Mar 2021
Modifié(e) : Adam Danz le 31 Mar 2021
  1. read in the text file as a timetable or a regular table. The date values should be read in as datetime values.
  2. use boolean operators to determine which rows have dates within your range. That should create a logical vector with one element per row. Alternatively, if you're working with a timetable you can use one of these methods .
  3. Use that logical index to get data from other columns.
There's lots of info on each of those steps in the documentation and the forum. If you get stuck update us on where you're at and what the problem is.
  9 commentaires
Adam Danz
Adam Danz le 31 Mar 2021
Do you mean from another column of the same table?
T = table(datetime(2020,03,01)-days(0:5)',randi(50,6,1), randi(10,6,1))
T = 6×3 table
Var1 Var2 Var3 ___________ ____ ____ 01-Mar-2020 31 2 29-Feb-2020 38 4 28-Feb-2020 28 10 27-Feb-2020 18 1 26-Feb-2020 27 9 25-Feb-2020 33 4
idx = T.Var1 <= datetime(2020,2,28) & T.Var1 >datetime(2020,2,26)
idx = 6×1 logical array
0 0 1 1 0 0
T.Var2(idx)
ans = 2×1
28 18
T(idx,[2:end])
ans = 2×2 table
Var2 Var3 ____ ____ 28 10 18 1
acun67 acu
acun67 acu le 31 Mar 2021
Modifié(e) : acun67 acu le 31 Mar 2021
Yes values from same file but store in as a separete vector (like Var2) .
But I can make it as a single table too and date/time in one column and values in another column.
and thank you, I think you solved this problem for me. I want this 'Var2', and 'Var3' only. previouly I was doing it using two three loops.

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Plus de réponses (1)

DGM
DGM le 31 Mar 2021
Modifié(e) : DGM le 31 Mar 2021
This is not a real answer, but my preference for very large files. I occasionally have to deal with csv files that are several million lines long. Reading all that into memory and trying to parse date strings is expensive. I find that it's much faster to split the file externally and then only deal with the chunk that's necessary.
You'll need to be familiar with how your file is formatted, but this is an example. My lines start with a date, so:
startdate='02/28/2021'; % include this date
stopdate='03/01/2021'; % exclude this date; set to '' to read up to last line
logfile='/path/to/my/giant/logfile.log';
tempfile='/dev/shm/tempms.log'; % don't need to touch the disk
delimiter=',';
% prepare temporary file
[~,b]=system(['wc -l ' logfile ' | cut -d '' '' -f 1']);
totallc=str2double(b);
[~,b]=system(['grep -n ' startdate ' ' logfile ' 2>/dev/null | head -n 1 | cut -d '':'' -f 1']);
startline=str2double(b)-1;
system(['tail -n ' num2str(totallc-startline) ' ' logfile ' > ' tempfile]);
if ~isempty(stopdate)
[~,b]=system(['grep -n ' stopdate ' ' tempfile ' 2>/dev/null | head -n 1 | cut -d '':'' -f 1']);
stopline=str2double(b)-1;
system(['head -n ' num2str(stopline) ' ' tempfile ' | sponge ' tempfile]);
end
% now you can read the temp file instead of the whole log.
Of course, this is in bash, but the idea is the same in other environments. I could have made this neater by writing a bash script to do the job and just calling it from within my m-file. You don't have to do everything in Matlab.
  4 commentaires
Walter Roberson
Walter Roberson le 31 Mar 2021
wc implies unix / linux, and if you have that then split can often be useful.
DGM
DGM le 31 Mar 2021
oof. Yeah, that would probably simplify it.

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