Greetings,
I have been working on a prototype for storing large amounts of timeseries
data in pytables.
I have experimented with writing numpy arrays and experimented a little bit
with the timeseries package in the scipy sandbox. Those experiments did not
work out that great and lead me to try storing timeseries data as Tables,
with each row representing an observation in the series; the first column is
a Time64Col and the rest represent the data model for each observation.
I am curious what others experiences are and whether I am headed down a
reasonable path.
/brad
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