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August 29, 2015 14:07
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Graph with Python
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import matplotlib.pyplot as plt | |
# load data | |
qos0 = open('qos0.txt').readlines() | |
qos1 = open('qos1.txt').readlines() | |
qos2 = open('qos2.txt').readlines() | |
qos0 = qos0[1:] | |
qos1 = qos1[1:] | |
qos2 = qos2[1:] | |
x0 = [] | |
y0 = [] | |
x1 = [] | |
y1 = [] | |
x2 = [] | |
y2 = [] | |
# time,connected,subscribed,published_per_sec,published,puback,received,response | |
for l in qos0: | |
items = l.split(',') | |
x0.append(items[3]) | |
y0.append(items[7]) | |
for l in qos1: | |
items = l.split(',') | |
x1.append(items[3]) | |
y1.append(items[7]) | |
for l in qos2: | |
items = l.split(',') | |
x2.append(items[3]) | |
y2.append(items[7]) | |
# plot | |
plt.title('MQTT performance on my Macbook Air') | |
plt.xlabel('publishes per seconds') | |
plt.ylabel('response time') | |
plt.plot(x0, y0, 'r', label='qos0') | |
plt.hold(True) | |
plt.plot(x1, y1, 'g', label='qos1') | |
plt.hold(True) | |
plt.plot(x2, y2, 'b', label='qos2') | |
plt.legend(loc='upper left') | |
plt.show() |
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