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plotter.py
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#import matplotlib.pyplot as plt
import pylab as plt
import numpy as np
# Equal weights approach 1
# Accumulated CV approach 2
# Separated CV approach 3
# Separated CV approach 4
# lnx approach 5
# sqrt approach 6
# no approach 7
class SimRun:
def __init__(self, name, input):
self.input = input
self.name = name
run = []
run.append(SimRun('6-UP 5', '6-uperiod5.csv'))
run.append(SimRun('6-UP 50', '6-uperiod50.csv'))
run.append(SimRun('7-UP 50', '7-uperiod50.csv'))
run.append(SimRun('1-UP 50', '1-uperiod50.csv'))
run.append(SimRun('5-UP 50', '5-uperiod50.csv'))
run.append(SimRun('2-UP 50', '2-uperiod50.csv'))
print(len(run))
t = [None] * len(run)
TotError = [None] * len(run)
Util = [None] * len(run)
D = [None] * len(run)
AvgDelay = [None] * len(run)
#self.tot, self.prominent_error, self.avg_delay, self.utilization, choice, time (s), data (bytes)
#0 1 2 3 4 5 6
for i in range(len(run)):
t[i] = np.genfromtxt(run[i].input, delimiter=',')
TotError[i] = t[i][:, 0]
Util[i] = t[i][:, 3]
D[i] = t[i][:, 6]/1000000.0 #MB
AvgDelay[i] = t[i][:, 2]
# preparing marker positions - drop every alternate marker
xx = (np.arange(0, len(D[0]), 2))
xx =(xx.astype(int))
xx=list(xx.tolist())
MARKERS = ['-bo', '-gD', '-rs', '-m*', '-cp', '-yH', '-yH', '-rp', '-bx']
for i in range(len(run)):
plt.plot(D[i], AvgDelay[i], MARKERS[i], markevery=xx, label=run[i].name)
plt.legend(loc='upper right')
plt.xlabel('Data (MB)')
plt.ylabel('delay')
plt.title('D vs delay, 10 hour run, 7:3 weight')
plt.grid(True)
plt.savefig("d vs delay.pdf", format='pdf')
plt.show()
for i in range(len(run)):
plt.plot(D[i], TotError[i], MARKERS[i], markevery=xx, label=run[i].name)
plt.legend(loc='upper right')
plt.xlabel('Data (MB)')
plt.ylabel('E')
plt.title('D vs E, 10 hour run, 7:3 weight')
plt.grid(True)
plt.savefig("d vs e.pdf", format='pdf')
plt.show()
for i in range(len(run)):
plt.plot(D[i], Util[i], MARKERS[i], markevery=xx, label=run[i].name)
plt.legend(loc='upper right')
plt.xlabel('Data (MB)')
plt.ylabel('Util')
plt.title('D vs Util, 10 hour run, 7:3 weight')
plt.grid(True)
plt.savefig("d vs util_cv.pdf", format='pdf')
plt.show()
#~ plt.plot(D, Util, '-bo', markevery=xx, label=run1.name)
#~ plt.plot(D, Util2, '-gD', markevery= xx, label=run2.name)
#~ plt.plot(D, Util3, '-rs', markevery= xx, label=run3.name)
#~ plt.legend(loc='upper right')
#~ plt.xlabel('Data (MB)')
#~ plt.ylabel('Util')
#~ plt.title('D vs Util, 10 hour run, 7:3 weight')
#~ plt.grid(True)
#~ plt.savefig("d vs util_cv.pdf", format='pdf')
#~ plt.show()