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bandwidth
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plot mariadb datas

master
DJh2o2 2022-08-03 16:33:03 +07:00
parent d8e46f556b
commit af6c1c4a02
1 changed files with 39 additions and 10 deletions
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bandwidth.py
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import sqlite3, pandas, matplotlib
matplotlib.use('tkAgg')
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
import sqlite3
import pandas
import matplotlib
import mysql.connector
matplotlib.use('tkAgg')
# # sqlite3
# sqlite3Connection = sqlite3.connect("bandwidth.db")
# sqlQuery = """SELECT times, ping, download, upload FROM bandwidth"""
# sqlite3Data = pandas.read_sql(sqlQuery, sqlite3Connection)
# # plot
# plt.plot(sqlite3Data.times, sqlite3Data.ping, label="Ping")
# plt.plot(sqlite3Data.times, sqlite3Data.download, label="Download")
# plt.plot(sqlite3Data.times, sqlite3Data.upload, label="Upload")
# plt.legend()
# plt.title("Bandwidth from sqlite3")
# plt.show()
conn = sqlite3.connect("bandwidth.db") # mariadb
mariadbConnection = mysql.connector.connect(
host="server0", user="root", password="lungretter1", database="bandwidth")
mariadbCursor = mariadbConnection.cursor()
mariadbCursor.execute("SELECT times, ping, download, upload FROM speedtest")
mariadbResult = mariadbCursor.fetchall()
sql = """SELECT times, ping, download, upload FROM bandwidth""" times = []
pings = []
downloads = []
uploads = []
data = pandas.read_sql(sql, conn) for i in mariadbResult:
times.append(i[0])
pings.append(i[1])
downloads.append(i[2])
uploads.append(i[3])
plt.plot(data.times,data.ping, label = "Ping", ) # plot
plt.plot(data.times,data.download, label = "Download") plt.plot(times, pings, label="Ping")
plt.plot(data.times,data.upload, label = "Upload") plt.plot(times, downloads, label="Download")
plt.plot(times, uploads, label="Upload")
plt.legend() plt.legend()
plt.title("Bandwidth") plt.title("bandwidth from mariadb")
plt.show() plt.show()