Python-Matplotlib boxplot. How to show percentiles 0.10,25,50,75,90 and 100?

Question

I would like to build EPSgram (see below) using Python and Matplotlib.

The boxplot function includes only quartiles (0, 25, 50, 75, 100). So how can I add two more fields?

Answer 1

I put together a sample if you are still interested. It uses scipy.stats.scoreatpercentile , but you can get these numbers from other sources:

 from random import random import numpy as np import matplotlib.pyplot as plt from scipy.stats import scoreatpercentile x = np.array([random() for x in xrange(100)]) # percentiles of interest perc = [min(x), scoreatpercentile(x,10), scoreatpercentile(x,25), scoreatpercentile(x,50), scoreatpercentile(x,75), scoreatpercentile(x,90), max(x)] midpoint = 0 # time-series time fig = plt.figure() ax = fig.add_subplot(111) # min/max ax.broken_barh([(midpoint-.01,.02)], (perc[0], perc[1]-perc[0])) ax.broken_barh([(midpoint-.01,.02)], (perc[5], perc[6]-perc[5])) # 10/90 ax.broken_barh([(midpoint-.1,.2)], (perc[1], perc[2]-perc[1])) ax.broken_barh([(midpoint-.1,.2)], (perc[4], perc[5]-perc[4])) # 25/75 ax.broken_barh([(midpoint-.4,.8)], (perc[2], perc[3]-perc[2])) ax.broken_barh([(midpoint-.4,.8)], (perc[3], perc[4]-perc[3])) ax.set_ylim(-0.5,1.5) ax.set_xlim(-10,10) ax.set_yticks([0,0.5,1]) ax.grid(True) plt.show()