[SciPy-User] scikits.timeseries question
Mon Nov 30 18:23:52 CST 2009
Pierre GM wrote:
> On Nov 30, 2009, at 6:58 PM, Christopher Barker wrote:
> I guess you're confusing DateArrays and TimeSeries.
> DateArrays are just arrays of dates (think a ndarray of datetime
> objects, or a ndarray with a datetime64 dtype). TimeSeries are like
> MaskedArrays, the combination of a ndarray of values with 2 others
> ndarrays: one array of booleans (the mask), one DateArray.
Actually, I think I got that.
>> In : sd = ts.Date(freq='D', year=2001, month=1, day=1)
>> In : sd
>> Out: <D : 01-Jan-2001>
> All is well here.
>> In : da = ts.date_array((1,2,3,4), start_date=sd)
> Check the doc for date_array: the first argument can be
> * a sequence of integers corresponding to the representation of
> :class:`Date` objects.
That's what I'm trying to give it.
> So, what you're trying to do is to build a an array of four dates (1,2,3,4)
> Instead, use that:
> timeseries([1 2 3 4],
> dates = [01-Jan-2001 ... 04-Jan-2001],
> freq = D)
Ah, but what I am trying to do is build that "dates" array -- in teh
real case, I have 1212 pieces of data, associated with time, in terms of
"days since Jan 1, 2001). So I need to construct that dates array to
associate with the time_series data.
So I want:
dates = what_to_put_here?
timeseries([1 2 3 4],
dates = dates],
freq = D)
While I'm at it -- what I really have is a big 'ol 3-d array, which is
gridded model output, of shape: (time, lat, lon). Time is expressed in
I need to do a moving average of the while grid over time. Can a
time_series be n-d, with time as one of the axis?
Christopher Barker, Ph.D.
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