import json, sys
import matplotlib.pyplot as plt
import numpy as np
from zrtt import calculate_zrtt
input_file = sys.argv[1]
output_file = sys.argv[2]
with open(input_file) as f:
    hops = json.loads(f.read())
rtt_acumulado = []
for hop in hops:
    rtts_hop = [int(medicion['rtt'][:-3]) for medicion in hop if medicion[
        'rtt'] != '*']
    rtt_acumulado.append(np.average(rtts_hop) if len(rtts_hop) > 0 else 0)
zrtt = calculate_zrtt(input_file)
hop_number = range(1, len(rtt_acumulado) + 1)
ind = np.arange(len(hop_number))
width = 1.0
fig, ax1 = plt.subplots()
ax1.bar(ind, rtt_acumulado, width)
ax1.set_xticks(ind + width / 2.0)
ax1.set_xticklabels(hop_number)
ax1.set_xlabel('Hop number')
ax1.set_ylabel('Round trip time(ms)', color='b')
ax2 = ax1.twinx()
ax2.plot(ind, zrtt, 'rx', markersize=10, markeredgewidth=3)
ax2.set_ylabel('zrtt', color='r')
plt.savefig(output_file)

fd49ade093bc7645f31520a9659dbf503699e88c
<mask token>

<mask token>
with open(input_file) as f:
    hops = json.loads(f.read())
<mask token>
for hop in hops:
    rtts_hop = [int(medicion['rtt'][:-3]) for medicion in hop if medicion[
        'rtt'] != '*']
    rtt_acumulado.append(np.average(rtts_hop) if len(rtts_hop) > 0 else 0)
<mask token>
ax1.bar(ind, rtt_acumulado, width)
ax1.set_xticks(ind + width / 2.0)
ax1.set_xticklabels(hop_number)
ax1.set_xlabel('Hop number')
ax1.set_ylabel('Round trip time(ms)', color='b')
<mask token>
ax2.plot(ind, zrtt, 'rx', markersize=10, markeredgewidth=3)
ax2.set_ylabel('zrtt', color='r')
plt.savefig(output_file)

<mask token>
input_file = sys.argv[1]
output_file = sys.argv[2]
with open(input_file) as f:
    hops = json.loads(f.read())
rtt_acumulado = []
for hop in hops:
    rtts_hop = [int(medicion['rtt'][:-3]) for medicion in hop if medicion[
        'rtt'] != '*']
    rtt_acumulado.append(np.average(rtts_hop) if len(rtts_hop) > 0 else 0)
zrtt = calculate_zrtt(input_file)
hop_number = range(1, len(rtt_acumulado) + 1)
ind = np.arange(len(hop_number))
width = 1.0
fig, ax1 = plt.subplots()
ax1.bar(ind, rtt_acumulado, width)
ax1.set_xticks(ind + width / 2.0)
ax1.set_xticklabels(hop_number)
ax1.set_xlabel('Hop number')
ax1.set_ylabel('Round trip time(ms)', color='b')
ax2 = ax1.twinx()
ax2.plot(ind, zrtt, 'rx', markersize=10, markeredgewidth=3)
ax2.set_ylabel('zrtt', color='r')
plt.savefig(output_file)

import json, sys
import matplotlib.pyplot as plt
import numpy as np
from zrtt import calculate_zrtt
input_file = sys.argv[1]
output_file = sys.argv[2]
with open(input_file) as f:
    hops = json.loads(f.read())
rtt_acumulado = []
for hop in hops:
    rtts_hop = [int(medicion['rtt'][:-3]) for medicion in hop if medicion[
        'rtt'] != '*']
    rtt_acumulado.append(np.average(rtts_hop) if len(rtts_hop) > 0 else 0)
zrtt = calculate_zrtt(input_file)
hop_number = range(1, len(rtt_acumulado) + 1)
ind = np.arange(len(hop_number))
width = 1.0
fig, ax1 = plt.subplots()
ax1.bar(ind, rtt_acumulado, width)
ax1.set_xticks(ind + width / 2.0)
ax1.set_xticklabels(hop_number)
ax1.set_xlabel('Hop number')
ax1.set_ylabel('Round trip time(ms)', color='b')
ax2 = ax1.twinx()
ax2.plot(ind, zrtt, 'rx', markersize=10, markeredgewidth=3)
ax2.set_ylabel('zrtt', color='r')
plt.savefig(output_file)
