I'd like to understand the problem without having to download zip files, extract them, set up the code to read those files, and then run the code in hopes to understanding the problem. Perhaps you could distill this down to two examples tables and how you'd like to join them (if that's the main issue).
Perhaps you could distill this down to two examples tables and how you'd like to join them (if that's the main issue).
Yes. That's correct.
I have new files which are added to the result directory but I find it difficult to add to exsisting joining multiple time series i.e. join multiple time series into one.
If you need full code , Please let me know. I can add the Input files and code to analyze the data - I can do that as well.
"I find it difficult to add to exsisting joining multiple time series i.e. join multiple time series into one."
So you're reading in the data without a problem but there's a problem with combining the two timetables; is that correct? Could you attach a mat file that contains the two timetables?
This is under get_fieldnames.m & get_TimeStampCorrection.m files
Note: We have to create function for file"dmesg","powerd.20190616-174001" & "update_engine.20190616-104022" and then execute "get_fieldnames.m" & get_TimeStampCorrection.m
Hi again, I just spent about 20+ minutes re-reading the comments and going through the code and I still cannot understand exactly what we're trying to fix. I'd like to help but I it's just taking too much time to sift through all of this in order to understand the problem - even at a big picture level.
This is why is important to reproduce the problem with as little code as possible in order to provide a Minimal Working Example. Ideally, you'll get the fastest responses when the problem is described super clearly in just a few sentences and we can copy a short bit of code into our workspace that demonstrates the problem.
note that you're using lower case hh which is for 12-hour clocks. It works for the update_engine data because the hours are all less than 12:00. But it doesn't work for the powerd data because 17:40:01 is greater than 12:00.
You need to use 24-hour clock notation by using upper case HH.
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