[SciPy-User] TimeSeries and Milliseconds for aircraft data
Tue Feb 23 07:40:51 CST 2010
For the kind of thing you're doing, is there any need for the
timeseries machinery? I'd just represent all my times in terms of
seconds since observation start, at which point you can just use the
ordinary numpy/masked array machinery.
In particular, the decision not to support milliseconds was made on
the explicit assumption that more complicated timing tasks - up to and
including pulsar timing, which deals with nanosecond measurements
spanning decades - would simply use numpy directly, rather than try to
make TimeSeries support everything anyone might ever want from it.
On 23 February 2010 04:35, Chris Jesse
> Hi All,
> I've got lots of timeseries data from aircraft sensors (such as altitude,
> temperatures, landing gear up/down, airspeed..) which I was hoping to load
> into a timeseries array. However, I've just read that it only supports time
> resolutions down to a second. Is there a solution for my data which contains
> samples from hundreds of different parameters at different frequencies from
> 8Hz to 1/64Hz over an 8 hour period?
> I need to be able to interpolate between values, mask values when samples
> are corrupt / outside of operational boundaries and store values as
> accurately to the nearest 1/16th of a second if possible.
> Your help is much appreciated! Thanks,
> SciPy-User mailing list
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