Show boxplot_demo.py syntax highlighted
#!/usr/bin/python
#
# Example boxplot code
#
from pylab import *
# fake up some data
spread= rand(50) * 100
center = ones(25) * 50
flier_high = rand(10) * 100 + 100
flier_low = rand(10) * -100
data =concatenate((spread, center, flier_high, flier_low), 0)
# basic plot
boxplot(data)
#savefig('box1')
# notched plot
figure()
boxplot(data,1)
#savefig('box2')
# change outlier point symbols
figure()
boxplot(data,0,'gD')
#savefig('box3')
# don't show outlier points
figure()
boxplot(data,0,'')
#savefig('box4')
# horizontal boxes
figure()
boxplot(data,0,'rs',0)
#savefig('box5')
# change whisker length
figure()
boxplot(data,0,'rs',0,0.75)
#savefig('box6')
# fake up some more data
spread= rand(50) * 100
center = ones(25) * 40
flier_high = rand(10) * 100 + 100
flier_low = rand(10) * -100
d2 = concatenate( (spread, center, flier_high, flier_low), 0 )
data.shape = (-1, 1)
d2.shape = (-1, 1)
#data = concatenate( (data, d2), 1 )
# Making a 2-D array only works if all the columns are the
# same length. If they are not, then use a list instead.
# This is actually more efficient because boxplot converts
# a 2-D array into a list of vectors internally anyway.
data = [data, d2, d2[::2,0]]
# multiple box plots on one figure
figure()
boxplot(data)
#savefig('box7')
show()
See more files for this project here