The goal of the project is to combine several python statistics modules into a single package. This project is being run under the auspices of the Python Project for the Google Highly Open Participation Contest

Typical use case:

from statlib import stats

a = [1, 2, 3, 4 ]
# mean and standard deviation
print stats.mean(a), stats.stdev(a)

# vector operations
from statlib.matfunc import Vec
a = Vec( [ 4, -2,  5 ] ) 
b = Vec( [ 3, 10, -6 ] )

# vector dot and cross products
print a * b, a.cross(b)

For more information see the following pages:

• the stats module (see StatsDoc) contains a collection of basic statistical functions for python
• the pstat module (see PstatDoc) contains useful list and array manipulation routines modeled after those found in the |Stat package by Gary Perlman
• the matfunc module (see this help page) is a python module for vector, matrix, and table math operations

Note: This a pure-python package with no other dependency. For high performance numerical/scientific computing we recommend numpy.

Installation

If you have setuptools installed (see easy_install) simply type:

easy_install statlib

Otherwise visit the download page and download the version for your operating system.

Credits

See the Contributors page

Change Log

Version 1.1, Dec 19, 2007

• Gary Strangman re-released his code under MIT license. Many Thanks!
• all code relicensed under MIT license.
• stats.py now works with numpy arrays.

Version 1.0, Dec 17, 2007

• Project created as a Python GHOP task.
• Package creation.
• This release is tagged release-1.0 in the repository