Metadata-Version: 1.1
Name: geco-stat
Version: 0.1.3
Summary: Diagnostic tools for the advanced LIGO timing distribution system.
Home-page: https://github.com/stefco/geco_stat
Author: Stefan Countryman
Author-email: stefan.countryman@ligo.org
License: MIT
Description: 
        
        # Introduction to GECo Statistics Reports
        
        [![Documentation Status](https://readthedocs.org/projects/geco-statistics/badge/?version=latest)](http://geco-statistics.readthedocs.org/en/latest/?badge=latest)
        [ ![Codeship Status for stefco/geco_stat](https://codeship.com/projects/e9762300-bd59-0133-0ed3-2a1d867cc1c8/status?branch=master)](https://codeship.com/projects/136547)
        
        ## Purpose
        
        `geco_stat` can be used to easily generate histograms, statistics, and
        anomaly reports for timing signals generated by LIGO interferometers. It is
        meant to simplify the handling of massive amounts of diagnostic data by
        providing a simple, organized interface to relevant statistics, easy
        progress tracking for large jobs, effortless data visualization, and convenient
        ways to combine reports, so that very long timeseries can be efficiently
        analyzed in parallel and then recombined into single, monolithic reports
        covering entire eras.
        
        Future versions of `geco_statistics` will also provide tools for automating
        report generation, reducing the amount of effort that has to go into creating
        reports on LIGO's functioning.
        
        ## Dependencies
        
        This is a python-2.6 compatible Python module intended for use in
        LIGO production environments. Its python dependencies are minimal, which means
        it should work out of the box on most python distributions for viewing and
        manipulating existing reports generated using the package. At time of writing,
        generating *new* reports requires tools installed in LIGO production
        environments; it is intended primarily to be run on LIGO servers, though
        future implementations may integrate remote access tools.
        
        **If you are just interested in viewing existing diagnostic report data**, you
        can use Python, though iPython is recommended for interactive use. [You can
        install iPython from the project website.](http://ipython.org) If you are
        running this module on a LIGO production environment, no additional
        dependencies should be necessary.
        
        You can get around any of these problems by just running `create_virtualenv.sh`
        (though this does require virtualenv) and then running
        `source env/bin/activate`, after which `python` will work just fine.
        
Keywords: lsc ligo geco columbia timing diagnostic gravitational waves frame
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
