speedtest-cliで蓄積した速度測定データをいい感じに表示するやつ

ooklagrapher.py

#!/usr/bin/env python3

import csv
import sys
import numpy as np
from matplotlib import pyplot
from datetime import datetime, timezone
from dateutil.parser import parse
from matplotlib import dates as mdates

data = []

with open(sys.argv[1], 'r') as f:
    reader = csv.reader(f)

    for row  in reader:
        if len(row) == 8:
            row[0] = int(row[0])
            row[3] = parse(row[3]).astimezone()
            row[4] = float(row[4])
            row[5] = float(row[5])
            row[6] = int(float(row[6]))
            row[7] = int(float(row[7]))
            data.append(row)

download = np.array([])
upload   = np.array([])
ping     = np.array([])
date     = []

for d in data:
    date.append(d[3])
    ping = np.append(ping, d[5])
    download = np.append(download, d[6])
    upload = np.append(upload, d[7])

# bps to Mbps
download = download / 1000000
upload = upload / 1000000

# plot
pyplot.rcParams['timezone'] = "Asia/Tokyo" # これシステムタイムゾーンにしたい
fig = pyplot.figure()
pyplot.ylabel("Throughput [Mbps]")
pyplot.xticks(rotation=90)

# download / upload
axis1 = fig.add_subplot(111)
axis1.xaxis.set_major_formatter(mdates.DateFormatter("%m-%d %H:%M"))
axis1.xaxis.set_major_locator(mdates.HourLocator(interval=3))
axis1.xaxis.set_minor_locator(mdates.HourLocator(interval=1))
line1, = axis1.plot(date, download, color="green", label="download")
line2, = axis1.plot(date, upload, color="red", label="upload")

# RTT
axis2 = axis1.twinx()
line3, = axis2.plot(date, ping, color="gray", label="RTT")
axis2.set_ylabel("Round Trip Time [ms]")
axis2.set_ylim([0, 150])

# combine legend
pyplot.legend((line1, line2, line3), ('download', 'upload', 'RTT'))

# title
axis1.set_title("speedtest result [%s]" % data[0][2])

pyplot.tight_layout()
pyplot.plot()
pyplot.show()

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