Due to time constraints this project is not actively developed anymore. If you wish to take over send an email to the owner.

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