Skip to content

tinybike/weightedstats

Repository files navigation

WeightedStats

https://travis-ci.org/tinybike/weightedstats.svg?branch=master

https://coveralls.io/repos/github/tinybike/weightedstats/badge.svg?branch=master:target:https://coveralls.io/github/tinybike/weightedstats?branch=master

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:

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.

About

Calculate weighted mean, median, and weighted median.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages