Python functions to calculate the mean, weighted mean, median, and weighted median.
The easiest way to install WeightedStats is to use pip:
$ pip install weightedstatsWeightedStats 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)Unit tests are in the test/ directory.