- read in the text file as a timetable or a regular table. The date values should be read in as datetime values.
- 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 .
- Use that logical index to get data from other columns.
Compare dates between a matrix and a given range and read the values
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acun67 acu
am 31 Mär. 2021
Kommentiert: DGM
am 31 Mär. 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.
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Adam Danz
am 31 Mär. 2021
Bearbeitet: Adam Danz
am 31 Mär. 2021
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 Kommentare
Adam Danz
am 31 Mär. 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))
idx = T.Var1 <= datetime(2020,2,28) & T.Var1 >datetime(2020,2,26)
T.Var2(idx)
T(idx,[2:end])
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DGM
am 31 Mär. 2021
Bearbeitet: DGM
am 31 Mär. 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 Kommentare
Walter Roberson
am 31 Mär. 2021
wc implies unix / linux, and if you have that then split can often be useful.
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