[SciPy-user] Calculating daily, monthly and seasonal averages of hourly time series data.
Thu Oct 9 12:17:28 CDT 2008
What you need for timeseries is a recent numpy (>=1.2.0) and
scipy(>=0.7svn...). If you can compile the latest sources from SVN, you're
good to go.
The documentation is here:
If it doesn't cover areas you need, let us know and help us by writing some
As an extra comment on Lionel's answers:
* Once you have a time series, you can directly mask some data without having
to recreate a series
>>> series=ts.time_series(np.random.rand(365), start_date=ts.now('D'))
>>># Mask the first 10 elements
>>> series[:10] = ma.masked
>>> #Maske the data in August
>>> series[series.month==8] = ma.masked
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