[SciPy-User] Status of TimeSeries SciKit
Pierre GM
pgmdevlist at gmail.com
Tue Jul 26 11:01:51 EDT 2011
On Jul 26, 2011, at 4:42 PM, Skipper Seabold wrote:
> On Tue, Jul 26, 2011 at 10:35 AM, Pierre GM <pgmdevlist at gmail.com> wrote:
>>
>> On Jul 26, 2011, at 4:25 PM, Wes McKinney wrote:
>>
>>> On Tue, Jul 26, 2011 at 9:30 AM, Pierre GM <pgmdevlist at gmail.com> wrote:
>>>>
>>>> On Jul 26, 2011, at 2:30 PM, Paul Bilokon wrote:
>>>>
>>>>> Hi,
>>>>>
>>>>> I would like to find out about the status of the TimeSeries SciKit. It looks like it hasn't been updated for some years. Has the development ceased?
>>>>
>>>> Years is an overstatement...
>>>> The scikits hasn't been updated in a while, yes. The two developpers got really busy on other projects (like, jobs to pay bills) and unfortunately don't currently have the time to keep it up-to-date.
>>>> *If* I could find a job that would leave me a bit of time to work on it, I'd try to support the new date time type. But until then, further developments are in limbo and support limited.
>>>> That doesn't mean that you'd be on your own, questions will still be answered...
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>>>>
>>>
>>> hi Paul,
>>>
>>> Skipper and I (statsmodels) relatively recently discussed moving
>>> scikits.timeseries to GitHub and maintaining it there since we work on
>>> models for time series analysis.
>>
>> Er…
>> https://github.com/pierregm/scikits.timeseries/
>> https://github.com/pierregm/scikits.timeseries-sandbox/
>>
>
> Great. Is this the "official" advertised repo? I remember there was
> some chatter about this a few months back but lost track of the
> thread.
Yep. The scikits.timeseries is just the SVN site ported to git. The sandbox one was dubbed 'experimental' on this very list.
>
>> the second one is actually a branch of the first one (I know, it's silly with git, but I was only learning at the time), that provides some new functionalities like a 'time step' in addition to the 'time unit' (so that you can define regular series w/ one entry every 5min, say), but is not completely baked on the C side (I had some issues subclassing the C ndarray).
>>
>>
>>
>>> I work very actively on time
>>> series-related functionality in pandas so it might not even be
>>> unthinkable to merge together the projects (scikits.timeseries and
>>> pandas) and integrate all the numpy.datetime64 stuff once the dust
>>> settles there. Just thinking out loud.
>>
>> That's an idea.
>>
>
> Any thoughts on the idea? Do you think it's reasonable and/or
> beneficial? There is also some talk with the scikits.learn and
> scikits.statsmodels to drop the scikits namespace, which would be
> better as a collective decision, so the merging could be a part of
> this? I use both packages now, and I, for one, would love to see them
> come together and share to the extent this is feasible. Others? I
> especially like the plotting stuff since it's great but I've had to
> make a few local patches here and there for mpl changes.
No surprise for matplotlib. I kinda dropped the ball here (when I need to plot stuffs these days, I don't use mpl).
I haven't used pandas yet, for the same reasons why I wasn't able to keep with updating scikits.timeseries. But if y'all use the two in parallel and have a need for porting scikits.timeseries to pandas, then go for it, you have my blessing. And you know where to contact me if you have some issues or questions.
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