stats is a pure-Python package providing statistics functions similar to those found on scientific calculators. It has over 40 statistics functions, including:

Basic calculator statistics:

• arithmetic mean
• variance (population and sample)
• standard deviation (population and sample)

Univariate statistics:

• harmonic, geometric and quadratic means
• mode
• mean of angular quantities
• average deviation and median average deviation (MAD)
• skewness and kurtosis
• standard error of the mean

Order statistics:

• median
• quartiles, hinges and quantiles
• range and midrange
• interquartile range, midhinge and trimean
• support for R-style quantile alternative calculation methods
• Mathematica-style parameterized quantile calculation methods

Multivariate statistics:

• Pearson's correlation coefficient
• Q-correlation coefficient
• covariance (sample and population)
• linear regression
• sums Sxx, Syy and Sxy

Coroutine versions of selected functions:

• sum and mean
• running and weighted averages
• variance and standard deviation

among others.

Requires Python 3.1 or better.

http://code.google.com/p/pycalcstats/

stats requires Python 3.1 or better. To install from source:

1.  Download the stats .tar.gz file. (If you are reading this, you
    have probably already done that.)
2.  Unpack the tarball:

    $ tar xf stats-XXX.tar.gz  # change XXX to the appropriate version
    $ cd stats-XXX/

3. Run the installer:

    $ python3 setup.py install

The last step (running the installer) will need appropriate permissions to succeed. You may need to run the installer as the root or Administrator user.

An example of the basic calculator functionality:

>>> import stats
>>> stats.mean([1, 2, 3, 4, 5])
3.0

A slightly more advanced example:

>>> data = [1, 2, 3, 4, 5]
>>> import stats
>>> import stats.univar
>>> s = stats.stdev(data)
>>> stats.univar.stderrmean(s, len(data))
1.234567

stats is licenced under the MIT Licence. See the LICENCE.txt file and the header of stats.init.py.

You can run the module's doctests by importing and executing the package from the commandline:

$ python3 -m stats

If all the doctests pass, no output will be printed. To get verbose output, run with the -v switch:

$ python3 -m stats -v

See the CHANGES.txt file for a partial list of known issues and fixes. The bug tracker is at http://code.google.com/p/pycalcstats/issues/list