[SciPy-User] Joining 1D Timeseries to create a nD Timeseries
Sun Apr 11 13:17:12 CDT 2010
On Apr 11, 2010, at 1:50 PM, Sergi Pons Freixes wrote:
> Is there any elegant and fast way to join multiple unidimensional
> timeseries to create a new one? E.g:
> ts1 = timeseries 1D with param1
> ts2 = timeseries 2D with param2
> (ts1 and ts2 have same Date array)
> newts = join_ts(ts1, ts2) ---> newts= timeseries 2D with param2, param2
ts.stack should do the trick.
> Or can this only be accomplished by creating a new timeseries, and
> manually setting the date array and all the data at the creation time?
Or you could try
provided that you checked your series have the same dates and that there's no missing values. If the second condition is not met, use np.ma.column_stack instead (so that you don't lose the mask).
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