How to convert time in nanosecond to numeric value in order to be able to compare these timeseries?

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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?

Respuesta aceptada

madhan ravi
madhan ravi el 15 de Nov. de 2018
Editada: madhan ravi el 16 de Nov. de 2018
T=readtable('mycsv.csv')
datetime(T{:,1},'InputFormat','HH:mm:ss.SSS') %highly recommended
  11 comentarios
Peter Perkins
Peter Perkins el 15 de Nov. de 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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