Metadata-Version: 2.1
Name: alphatwirl
Version: 0.23.0
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
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
Requires-Dist: atpbar (>=0.9.7)


*AlphaTwirl* is a python library that summarizes event data into
multivariate 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.
Multivariate 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. 

