WeightedStats
=============
.. image:: https://travis-ci.org/tinybike/weightedstats.svg?branch=master
:target: https://travis-ci.org/tinybike/weightedstats
.. image:: https://coveralls.io/repos/github/tinybike/weightedstats/badge.svg?branch=master :target: https://coveralls.io/github/tinybike/weightedstats?branch=master
.. image:: https://badge.fury.io/py/weightedstats.svg
:target: http://badge.fury.io/py/weightedstats
Python functions to calculate the mean, weighted mean, median, and weighted median.
Installation
^^^^^^^^^^^^
The easiest way to install WeightedStats is to use pip::
$ pip install weightedstats
Usage
^^^^^
WeightedStats includes four functions (mean, weighted_mean, median, weighted_median) which accept lists as arguments, and two functions (numpy_weighted_mean, numpy weighted_median) which accept either lists or numpy arrays.
Example:
.. code-block:: python
import weightedstats as ws
my_data = [1, 2, 3, 4, 5]
my_weights = [10, 1, 1, 1, 9]
# Ordinary (unweighted) mean and median
ws.mean(my_data) # equivalent to ws.weighted_mean(my_data)
ws.median(my_data) # equivalent to ws.weighted_median(my_data)
# Weighted mean and median
ws.weighted_mean(my_data, weights=my_weights)
ws.weighted_median(my_data, weights=my_weights)
# Special weighted mean and median functions for use with numpy arrays
ws.numpy_weighted_mean(my_data, weights=my_weights)
ws.numpy_weighted_median(my_data, weights=my_weights)
Tests
^^^^^
Unit tests are in the test/ directory.
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"description": "WeightedStats\n=============\n\n.. image:: https://travis-ci.org/tinybike/weightedstats.svg?branch=master\n :target: https://travis-ci.org/tinybike/weightedstats\n\n.. image:: https://coveralls.io/repos/github/tinybike/weightedstats/badge.svg?branch=master :target: https://coveralls.io/github/tinybike/weightedstats?branch=master\n\n.. image:: https://badge.fury.io/py/weightedstats.svg\n :target: http://badge.fury.io/py/weightedstats\n\nPython functions to calculate the mean, weighted mean, median, and weighted median.\n\nInstallation\n^^^^^^^^^^^^\n\nThe easiest way to install WeightedStats is to use pip::\n\n $ pip install weightedstats\n\nUsage\n^^^^^\n\nWeightedStats includes four functions (mean, weighted_mean, median, weighted_median) which accept lists as arguments, and two functions (numpy_weighted_mean, numpy weighted_median) which accept either lists or numpy arrays.\n\nExample:\n\n.. code-block:: python\n\n import weightedstats as ws\n\n my_data = [1, 2, 3, 4, 5]\n my_weights = [10, 1, 1, 1, 9]\n\n # Ordinary (unweighted) mean and median\n ws.mean(my_data) # equivalent to ws.weighted_mean(my_data)\n ws.median(my_data) # equivalent to ws.weighted_median(my_data)\n\n # Weighted mean and median\n ws.weighted_mean(my_data, weights=my_weights)\n ws.weighted_median(my_data, weights=my_weights)\n\n # Special weighted mean and median functions for use with numpy arrays\n ws.numpy_weighted_mean(my_data, weights=my_weights)\n ws.numpy_weighted_median(my_data, weights=my_weights)\n\nTests\n^^^^^\n\nUnit tests are in the test/ directory.\n\n\n",
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