Metadata-Version: 1.1
Name: alphatwirl
Version: 0.18.5
Summary: A Python library for summarizing event data
Home-page: https://github.com/alphatwirl/alphatwirl
Author: Tai Sakuma
Author-email: tai.sakuma@gmail.com
License: UNKNOWN
Description: 
        *AlphaTwirl* is a python library that loops over event data and
        summarizes them into multi-dimensional categorical data as data
        frames. Event data, input to AlphaTwirl, are data with one entry (or
        row) for one event: for example, data in `ROOT
        <https://root.cern.ch/>`__ `TTrees
        <https://root.cern.ch/doc/master/classTTree.html>`__ with one entry
        per collision event of an `LHC
        <https://home.cern/topics/large-hadron-collider>`__ experiment at
        `CERN <http://home.cern/>`__. Event data are often large---too large
        to be loaded in memory---because they have as many entries as events.
        Multi-dimensional categorical data, the output of AlphaTwirl, have one
        row for one category. They are usually small---small enough to be
        loaded in memory---because they only have as many rows as categories.
        Users can, for example, import them as data frames into `R
        <https://www.r-project.org/>`__ and `pandas
        <http://pandas.pydata.org/>`__, which usually load all data in memory,
        and can perform categorical data analyses with a rich set of data
        operations available in R and pandas.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
