#Import needed Modules

import numpy as np

import matplotlib.pyplot as plt

from matplotlib.mlab import csv2rec

import matplotlib.font_manager

from pylab import *

filename = "test"

if __name__ == "__main__":

print "Generating Graph"

prop = matplotlib.font_manager.FontProperties(size=10) #Set Font Size

data = csv2rec(filename + "-result.csv",delimiter=',') #Read csv File

N = len(data['length_m']) #Get # of lengths

Up_Exp = data['up_rate_expected_kbps'] #Read Data From Corresponding Columns

Up_Meas = data['up_rate_measured_kbps']

Down_Exp = data['ds_rate_expected_kbps']

Down_Meas = data['ds_rate_measured_kbps']

ind = np.arange(N) # The X Locations

fig = plt.figure() #Make Graph

ax1 = fig.add_subplot(111)

line1 = ax1.plot(ind, Up_Exp, color='b', ls='dashdot')

line2 = ax1.plot(ind, Up_Meas, color='b')

ax2 = ax1.twinx()

line3 = ax2.plot(ind, Down_Exp, color='r', ls='dashdot')

line4 = ax2.plot(ind, Down_Meas, color='r')

for Up_Exp in ax1.get_yticklabels(): #Color for the US Values blue

Up_Exp.set_color('b')

for Down_Exp in ax2.get_yticklabels(): # Color for the DS Values red

Down_Exp.set_color('r')

ax1.set_ylim(ymin=0) #Start with 0

ax2.set_ylim(ymin=0) #Start with 0

#ax1.yaxis.grid(color='grey', linestyle='dashed')

#ax2.yaxis.grid(color='grey', linestyle='dashed')

ax1.xaxis.grid(color='gray', linestyle='dashed') #For better orientation

ax1.set_ylabel('Upstream Rate (kbps)')

ax2.set_ylabel('Downstream Rate (kbps)')

ax1.set_xticklabels(data['length_m'])

ax1.set_title('Up- and Downstream Values')

ax2.legend( (line1[0], line2[0], line3[0], line4[0]), ('Up (mandatory)', 'Up (measured)', 'Down (mandatory)', 'Down (measured)'), prop=prop, loc=0 )

result_graph = filename + '-graph.png'

savefig(result_graph)