How to convert time in nanosecond to numeric value in order to be able to compare these timeseries?
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Mantas Vaitonis
le 15 Nov 2018
Modifié(e) : madhan ravi
le 16 Nov 2018
Hello,
I have the number of *.csv files that are same structure (same column number), but row numbers are different. I use readtable to upload data to matlab. I need to compare timeseries of different csv files. The example of timeseries:
'08:34:37.762296992'
'08:34:37.762450580'
'08:34:37.762450580'
'08:34:37.762460422'
'08:34:37.762460422'
'08:34:37.762472108'
'08:34:37.762472108'
'08:34:37.762543205'
'08:34:37.762543205'
'08:34:37.762673812'
How to convert this type to timeseries to numeric value in order to be able to compare them?
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madhan ravi
le 15 Nov 2018
Modifié(e) : madhan ravi
le 16 Nov 2018
T=readtable('mycsv.csv')
datetime(T{:,1},'InputFormat','HH:mm:ss.SSS') %highly recommended
11 commentaires
Peter Perkins
le 15 Nov 2018
Also: these two
datenum(T{:,1})
datevec(T{:,1})
aren't really gonna work correctly, because datenums and datevecs just don't support timestamps to ns resolution.
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