Metadata-Version: 1.0
Name: tstables
Version: 0.0.6dev
Summary: Handles large time series using PyTables and Pandas
Home-page: http://github.com/afiedler/tstables
Author: Andy Fiedler
Author-email: andy@andyfiedler.com
License: MIT
Description: TsTables
        ========
        
        TsTables is a Python package to store time series data in HDF5 files
        using PyTables. It stores time series data into daily partitions and
        provides functions to query for subsets of data across partitions.
        
        Its goals are to support a workflow where tons (gigabytes) of time
        series data are appended periodically to a HDF5 file, and need to be
        read many times (quickly) for analytical models and research.
        
        Not ready for use yet
        ---------------------
        
        TsTables is not ready for use yet and is currently under development.
        The goal is to have something workable and being testing by end of May,
        2014. If you are interested in the project (to contribute or learn when
        it is finished), email Andy Fiedler at andy@andyfiedler.com.
        
Keywords: time series high frequency HDF5
Platform: UNKNOWN
