Modem_data_web_scraping.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "from bs4 import BeautifulSoup as bs\n",
    "import pandas as pd\n",
    "import time\n",
    "import pickle\n",
    "import numpy as np\n",
    "import re\n",
    "\n",
    "from IPython.display import clear_output\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "ename": "ConnectTimeout",
     "evalue": "HTTPConnectionPool(host='192.168.100.1', port=80): Max retries exceeded with url: /cmSignalData.htm (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x000002AAD540B0F0>, 'Connection to 192.168.100.1 timed out. (connect timeout=10)'))",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mtimeout\u001b[0m                                   Traceback (most recent call last)",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\site-packages\\urllib3\\connection.py\u001b[0m in \u001b[0;36m_new_conn\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    158\u001b[0m             conn = connection.create_connection(\n\u001b[1;32m--> 159\u001b[1;33m                 (self._dns_host, self.port), self.timeout, **extra_kw)\n\u001b[0m\u001b[0;32m    160\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\site-packages\\urllib3\\util\\connection.py\u001b[0m in \u001b[0;36mcreate_connection\u001b[1;34m(address, timeout, source_address, socket_options)\u001b[0m\n\u001b[0;32m     79\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0merr\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 80\u001b[1;33m         \u001b[1;32mraise\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     81\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\site-packages\\urllib3\\util\\connection.py\u001b[0m in \u001b[0;36mcreate_connection\u001b[1;34m(address, timeout, source_address, socket_options)\u001b[0m\n\u001b[0;32m     69\u001b[0m                 \u001b[0msock\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbind\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msource_address\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 70\u001b[1;33m             \u001b[0msock\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconnect\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msa\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     71\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0msock\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mtimeout\u001b[0m: timed out",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mConnectTimeoutError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[1;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[0;32m    599\u001b[0m                                                   \u001b[0mbody\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mbody\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mheaders\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mheaders\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 600\u001b[1;33m                                                   chunked=chunked)\n\u001b[0m\u001b[0;32m    601\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36m_make_request\u001b[1;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[0;32m    353\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 354\u001b[1;33m             \u001b[0mconn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mhttplib_request_kw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    355\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\http\\client.py\u001b[0m in \u001b[0;36mrequest\u001b[1;34m(self, method, url, body, headers, encode_chunked)\u001b[0m\n\u001b[0;32m   1228\u001b[0m         \u001b[1;34m\"\"\"Send a complete request to the server.\"\"\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1229\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_send_request\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mbody\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mheaders\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mencode_chunked\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1230\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\http\\client.py\u001b[0m in \u001b[0;36m_send_request\u001b[1;34m(self, method, url, body, headers, encode_chunked)\u001b[0m\n\u001b[0;32m   1274\u001b[0m             \u001b[0mbody\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_encode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mbody\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'body'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1275\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mendheaders\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mbody\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mencode_chunked\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mencode_chunked\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1276\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\http\\client.py\u001b[0m in \u001b[0;36mendheaders\u001b[1;34m(self, message_body, encode_chunked)\u001b[0m\n\u001b[0;32m   1223\u001b[0m             \u001b[1;32mraise\u001b[0m \u001b[0mCannotSendHeader\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1224\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_send_output\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmessage_body\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mencode_chunked\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mencode_chunked\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1225\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\http\\client.py\u001b[0m in \u001b[0;36m_send_output\u001b[1;34m(self, message_body, encode_chunked)\u001b[0m\n\u001b[0;32m   1015\u001b[0m         \u001b[1;32mdel\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_buffer\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1016\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1017\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\http\\client.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, data)\u001b[0m\n\u001b[0;32m    955\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mauto_open\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 956\u001b[1;33m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconnect\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    957\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\site-packages\\urllib3\\connection.py\u001b[0m in \u001b[0;36mconnect\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    180\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mconnect\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 181\u001b[1;33m         \u001b[0mconn\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_new_conn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    182\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_prepare_conn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\site-packages\\urllib3\\connection.py\u001b[0m in \u001b[0;36m_new_conn\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    163\u001b[0m                 \u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"Connection to %s timed out. (connect timeout=%s)\"\u001b[0m \u001b[1;33m%\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 164\u001b[1;33m                 (self.host, self.timeout))\n\u001b[0m\u001b[0;32m    165\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mConnectTimeoutError\u001b[0m: (<urllib3.connection.HTTPConnection object at 0x000002AAD540B0F0>, 'Connection to 192.168.100.1 timed out. (connect timeout=10)')",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mMaxRetryError\u001b[0m                             Traceback (most recent call last)",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\site-packages\\requests\\adapters.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[0;32m    448\u001b[0m                     \u001b[0mretries\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmax_retries\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 449\u001b[1;33m                     \u001b[0mtimeout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    450\u001b[0m                 )\n",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[1;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[0;32m    637\u001b[0m             retries = retries.increment(method, url, error=e, _pool=self,\n\u001b[1;32m--> 638\u001b[1;33m                                         _stacktrace=sys.exc_info()[2])\n\u001b[0m\u001b[0;32m    639\u001b[0m             \u001b[0mretries\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\site-packages\\urllib3\\util\\retry.py\u001b[0m in \u001b[0;36mincrement\u001b[1;34m(self, method, url, response, error, _pool, _stacktrace)\u001b[0m\n\u001b[0;32m    398\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mnew_retry\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mis_exhausted\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 399\u001b[1;33m             \u001b[1;32mraise\u001b[0m \u001b[0mMaxRetryError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_pool\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merror\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mResponseError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcause\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    400\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mMaxRetryError\u001b[0m: HTTPConnectionPool(host='192.168.100.1', port=80): Max retries exceeded with url: /cmSignalData.htm (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x000002AAD540B0F0>, 'Connection to 192.168.100.1 timed out. (connect timeout=10)'))",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mConnectTimeout\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-31-e960dd766a99>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mtable_dict\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[1;32mwhile\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m     \u001b[0mpage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrequests\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'http://192.168.100.1/cmSignalData.htm'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      4\u001b[0m     \u001b[0msoup\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mbs\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpage\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcontent\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'html.parser'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m     \u001b[0mtables\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msoup\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfind_all\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'tbody'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\site-packages\\requests\\api.py\u001b[0m in \u001b[0;36mget\u001b[1;34m(url, params, **kwargs)\u001b[0m\n\u001b[0;32m     73\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     74\u001b[0m     \u001b[0mkwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msetdefault\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'allow_redirects'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 75\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mrequest\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'get'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mparams\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     76\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     77\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\site-packages\\requests\\api.py\u001b[0m in \u001b[0;36mrequest\u001b[1;34m(method, url, **kwargs)\u001b[0m\n\u001b[0;32m     58\u001b[0m     \u001b[1;31m# cases, and look like a memory leak in others.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     59\u001b[0m     \u001b[1;32mwith\u001b[0m \u001b[0msessions\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSession\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0msession\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 60\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0msession\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     61\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     62\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\site-packages\\requests\\sessions.py\u001b[0m in \u001b[0;36mrequest\u001b[1;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[0;32m    531\u001b[0m         }\n\u001b[0;32m    532\u001b[0m         \u001b[0msend_kwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msettings\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 533\u001b[1;33m         \u001b[0mresp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mprep\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0msend_kwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    534\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    535\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mresp\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\site-packages\\requests\\sessions.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, request, **kwargs)\u001b[0m\n\u001b[0;32m    644\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    645\u001b[0m         \u001b[1;31m# Send the request\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 646\u001b[1;33m         \u001b[0mr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0madapter\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    647\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    648\u001b[0m         \u001b[1;31m# Total elapsed time of the request (approximately)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Miniconda3\\envs\\torch_env\\lib\\site-packages\\requests\\adapters.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[0;32m    502\u001b[0m                 \u001b[1;31m# TODO: Remove this in 3.0.0: see #2811\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    503\u001b[0m                 \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreason\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mNewConnectionError\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 504\u001b[1;33m                     \u001b[1;32mraise\u001b[0m \u001b[0mConnectTimeout\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrequest\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    505\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    506\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreason\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mResponseError\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mConnectTimeout\u001b[0m: HTTPConnectionPool(host='192.168.100.1', port=80): Max retries exceeded with url: /cmSignalData.htm (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x000002AAD540B0F0>, 'Connection to 192.168.100.1 timed out. (connect timeout=10)'))"
     ]
    }
   ],
   "source": [
    "table_dict = {}\n",
    "while True:\n",
    "    page = requests.get('http://192.168.100.1/cmSignalData.htm', timeout=10)\n",
    "    soup = bs(page.content, 'html.parser')\n",
    "    tables = soup.find_all('tbody')\n",
    "    t_now = pd.Timestamp.now()\n",
    "    table_dict[t_now] = {}\n",
    "    for table in tables:\n",
    "        rows = table.find_all('tr')\n",
    "        for i, row in enumerate(rows):\n",
    "            if i == 0:\n",
    "                cols = row.find_all('th')\n",
    "                if len(cols) == 0: break\n",
    "                cols = [ele.text.strip() for ele in cols]\n",
    "                table_name = cols[0]\n",
    "                table_dict[t_now][table_name] = {}\n",
    "                data = []\n",
    "            else:\n",
    "                cols = row.find_all('td')\n",
    "                cols = [ele.text.strip() for ele in cols]\n",
    "                data.append(cols)\n",
    "            for d in data:\n",
    "                if 'The Downstream Power Level reading' in d[0] and len(d)>1:\n",
    "                    d[0] = 'Power Level'\n",
    "                    del d[1]\n",
    "                if d[0].startswith('The Downstream Power Level reading'):\n",
    "                    continue\n",
    "                table_dict[t_now][table_name][d[0]] = d[1:]\n",
    "        table_dict[t_now][table_name] = pd.DataFrame.from_dict(table_dict[t_now][table_name])\n",
    "        with open('D:\\Code\\modem_data_6.pickle', 'wb') as f:\n",
    "            pickle.dump(table_dict, f, protocol=4)\n",
    "    time.sleep(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('D:\\Code\\modem_data_3.pickle', 'rb') as f:\n",
    "    table_dict = pickle.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "snr = np.zeros((30,len(table_dict)))\n",
    "for j, k in enumerate(table_dict.keys()):\n",
    "    values = table_dict[k]['Downstream']['Signal to Noise Ratio'].values\n",
    "    ID_values = table_dict[k]['Downstream']['Channel ID'].values\n",
    "    for i, value in enumerate(values):\n",
    "        ID = int(ID_values[i])\n",
    "        number = int(re.split(r'\\D* dB', value)[0])\n",
    "        snr[ID, j] = number"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "power = np.zeros((5,len(table_dict)))\n",
    "for j, k in enumerate(table_dict.keys()):\n",
    "    values = table_dict[k]['Upstream']['Power Level'].values\n",
    "    ID_values = table_dict[k]['Upstream']['Channel ID'].values\n",
    "    for i, value in enumerate(values):\n",
    "        ID = int(ID_values[i])\n",
    "        number = int(re.split(r'\\D* dBmV', value)[0])\n",
    "        power[ID, j] = number"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "keys = list(table_dict.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[18,12])\n",
    "# plt.imshow(np.r_[snr[19:22], snr[23:28]])\n",
    "# plt.imshow(snr[1:8])\n",
    "plt.imshow(snr)\n",
    "ax = plt.gca()\n",
    "ax.set_aspect(50)\n",
    "# plt.clim((35,40))\n",
    "plt.colorbar(shrink=0.2)\n",
    "# plt.yticks(range(8), ['13', '15', '16', '17', '18', '19', '20', '21'])\n",
    "plt.ylabel('Channel ID')\n",
    "# x_axis = np.arange(0, 1501, 250)\n",
    "# xlabels = [''.join([str(keys[i].hour),':',str(keys[i].minute),':',str(keys[i].second)]) for i in x_axis]\n",
    "# plt.xticks(x_axis, xlabels, rotation=45)\n",
    "plt.xlabel('Time')\n",
    "plt.title('Downstream Signal to Noise Ratio (dB)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[18,12])\n",
    "plt.imshow(power[1:5])\n",
    "ax = plt.gca()\n",
    "ax.set_aspect(100)\n",
    "# plt.clim((35,40))\n",
    "plt.colorbar(shrink=0.2)\n",
    "plt.yticks(range(4), ['1', '2', '3', '4'])\n",
    "plt.ylabel('Channel ID')\n",
    "# x_axis = np.arange(600, 1001, 50)\n",
    "# xlabels = [''.join([str(keys[i].hour),':',str(keys[i].minute),':',str(keys[i].second)]) for i in x_axis]\n",
    "# plt.xticks(x_axis-600, xlabels, rotation=45)\n",
    "plt.xlabel('Time (HH:MM:SS)')\n",
    "plt.title('Upstream Power Level (dBmV)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}