abhinav's box plot

epsilon_fig

from __future__ import division
import pandas as pd
import decimal

data = {'x': [27, 32, 32, 42, 42, 42, 47, 47,47,47,47, 51, 57,57,57,57,57, 62,62,62,62,62,62,62,62],
        'y': [48, 62, 36.7, 60, 38.4, 67, 62.4, 12.5, 54, 62, 105.9, NaN, 63.8, 66, 66.2, 58.6, 112.3, 50, 91, 49.9, 62.3, 71.6, 104.6, 122.6, 110.1]}

df = pd.DataFrame(data)

tick = ['26-30', '31-35', '40-45', '46-50', '51-55', '56-60', '61-65']
tick2 = []
for x in tick:
    y = x.split('-')
    a = '{0:3.2e}'.format(int(y[0])/(1400*8))
    b = '{0:3.2e}'.format(int(y[1])/(1400*8))
    z = str(a[:4])+'-'+str(b[:4])
    tick2.append(z)

df.boxplot(by='x')
xticks(arange(1,8), tick2, rotation=30)
title('')
suptitle("")
xlabel('L1 distance (x$10^{-2}$)')
ylabel('Throughput(Bytes/s)')
savefig('/home/sarthak/Desktop/fig1.pdf')