File:Weighted median.svg

Summary

Description
English: Two charts showing the difference between an ordinary median and a weighted median. The weight of the element in the list is are indicated by the widths of the boxes and the value by height. The median element is shown in red.
Date
Source Own work
Author Bscan
SVG development
InfoField

Source code

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#Python code shown below
#This code is issued under the Creative Commons CC0 "License"

from pylab import *

#Arbitrary values that result in a good illustrative example    
data = array([1,3,4,5,8,8.5,9,10.5,11])
weights = array([0.24, 0.60, 0.33,0.28, 0.2, 0.39, 0.2, 0.1, 0.18])

bar_spacing = 0.02 #Distance between adjacent bars

#Non-medians are blue and the median is red
colors  = ['b','b','b','b','r','b','b','b','b']
colorsw = ['b','b','b','r','b','b','b','b','b']

#normalize the weights, only needed to get the two plots to line up
weights = weights / sum(weights)
unweights = ones(data.__len__())/data.__len__() #Equal weighting

#The locations start at zero and are spaced by the width
locations = concatenate((array([0]),cumsum(bar_spacing + unweights[:-1])))
locations_w = concatenate((array([0]),cumsum(bar_spacing + weights[:-1])))

figure()

subplot(2,1,1)
bar(locations, data, width=unweights, color = colors)
ylabel('Value')
tick_params(axis='x', which='both',bottom='off',top='off',labelbottom='off')
xlim([-0.02, sum(unweights+0.02)])
grid()
xticks([])

subplot(2,1,2)
bar(locations_w, data, width=weights, color = colorsw)
ylabel('Value')
tick_params(axis='x', which='both',bottom='off',top='off',labelbottom='off')
xlim([-0.02, sum(weights+0.02)])
grid()
xticks([])

Licensing

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Category:CC-Zero#Weighted%20median.svgCategory:Self-published work
Category:Statistical charts
Category:CC-Zero Category:Images with Matplotlib source code Category:Self-published work Category:Statistical charts Category:Valid SVG created with Matplotlib