[SciPy-user] [ANN] scikits.timeseries 0.91.0

David Huard david.huard@gmail....
Tue Apr 7 08:54:28 CDT 2009


Congratulations to Matt and Pierre,

I use the timeseries scikit on a regular basis and it's a really useful
piece of work.

Regards,

David

On Mon, Apr 6, 2009 at 5:40 PM, matt knox <mattknox.ca@gmail.com> wrote:

> We are pleased to announce the release of scikits.timeseries 0.91.0
>
> This is the first official public release of the scikits.timeseries module.
> Due
> to the long birthing period, the api is considered stable and the version
> number was chosen to reflect the relative maturity of the initial release
> compared to a typical first release.
>
> Home page: http://pytseries.sourceforge.net/
> Please see the website for installation requirements and download details.
> Note that the recently released numpy 1.3.0 is a strict requirement.
>
> Windows binaries are provided for Python 2.5 and 2.6.
>
> About the package
> =================
>
> The scikits.timeseries module provides classes and functions for
> manipulating,
> reporting, and plotting time series of various frequencies. The focus is on
> convenient data access and manipulation while leveraging the existing
> mathematical functionality in numpy and scipy.
>
> If the following scenarios sound familiar to you, then you will likely
> find the scikits.timeseries module useful:
>
>    * Compare many time series with different ranges of data (eg. stock
> prices);
>    * Create time series plots with intelligently spaced axis labels;
>    * Convert a daily time series to monthly by taking the average value
> during
>      each month;
>    * Work with data that has missing values;
>    * Determine the last business day of the previous month/quarter/year for
>      reporting purposes;
>    * Compute a moving standard deviation efficiently;
>
> These are just some of the scenarios that are made very simple with the
> scikits.timeseries module.
>
> Thanks,
> Matt Knox & Pierre Gerard-Marchant
>
>
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>
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