[SciPy-user] [ANN] scikits.timeseries 0.91.0
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.
On Mon, Apr 6, 2009 at 5:40 PM, matt knox <firstname.lastname@example.org> 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.
> 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
> 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
> * Create time series plots with intelligently spaced axis labels;
> * Convert a daily time series to monthly by taking the average value
> 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.
> Matt Knox & Pierre Gerard-Marchant
> SciPy-user mailing list
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