plot mariadb datas

bandwidth.py

@@ -1,16 +1,45 @@
-import sqlite3, pandas, matplotlib
-matplotlib.use('tkAgg') 
 import matplotlib.pyplot as plt
+import sqlite3
+import pandas
+import matplotlib
+import mysql.connector
+matplotlib.use('tkAgg')
 
-conn = sqlite3.connect("bandwidth.db")
+# # sqlite3
+# sqlite3Connection = sqlite3.connect("bandwidth.db")
+# sqlQuery = """SELECT times, ping, download, upload FROM bandwidth"""
+# sqlite3Data = pandas.read_sql(sqlQuery, sqlite3Connection)
 
-sql = """SELECT times, ping, download, upload FROM bandwidth"""
+# # 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()
 
-data = pandas.read_sql(sql, conn)
+# 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()
 
-plt.plot(data.times,data.ping, label = "Ping", )
-plt.plot(data.times,data.download, label = "Download")
-plt.plot(data.times,data.upload, label = "Upload")
+times = []
+pings = []
+downloads = []
+uploads = []
+
+for i in mariadbResult:
+    times.append(i[0])
+    pings.append(i[1])
+    downloads.append(i[2])
+    uploads.append(i[3])
+
+# plot
+plt.plot(times, pings, label="Ping")
+plt.plot(times, downloads, label="Download")
+plt.plot(times, uploads, label="Upload")
 plt.legend()
-plt.title("Bandwidth")
-plt.show()
+plt.title("bandwidth from mariadb")
+plt.show()