Lab - Internet Meter SQL.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import sqlite3\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import csv\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "outputs": [],
   "source": [
    "conn = sqlite3.connect('Database/InternetSpeed.db')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "outputs": [],
   "source": [
    "cur = conn.cursor()"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "query = 'SELECT DateTime FROM LA_wifi_speed_UK ORDER BY random() LIMIT 10'\n",
    "cur.execute(query)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "is_executing": true
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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14.7415140596, 26.1555328637, 20.4941706624, 14.8988022461, 14.5120581312, 22.8507159656, 27.1593041162, 20.1326523011, 19.3004900489, 20.7169365196, 24.9849327529, 22.7640833654, 19.9085094587, 20.0390396033, 19.3563428052, 19.1596200584, 23.4387025393, 19.2334307377, 25.9574331248, 20.9484504923, 17.4752711389, 23.8854001047, 22.7240611376, 20.275690078, 17.9257643462, 14.7827094633, 20.3523330455, 20.1515502547, 25.7914846369, 23.7685069338, 15.0649862756, 16.7815064568, 22.6022909532, 21.8731232802, 20.7987750953, 22.3198962523, 23.2506995931, 24.3105162496, 24.3205037564, 33.3673263008, 20.616450105, 23.8667718323, '2016-11-23 00:00:00.000000')\n"
     ]
    }
   ],
   "source": [
    "for i in cur:\n",
    "    print(i)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "1° modo de obter o valor das colunas"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "outputs": [
    {
     "data": {
      "text/plain": "<sqlite3.Cursor at 0x20e4205b110>"
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = 'SELECT * FROM LA_wifi_speed_UK LIMIT 1'\n",
    "cur.execute(query)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "outputs": [],
   "source": [
    "names = [i[0] for i in cur.description]"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "outputs": [],
   "source": [
    "names.remove('DateTime')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "outputs": [
    {
     "data": {
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'E06000020_d',\n 'E07000076_d',\n 'E07000093_d',\n 'E07000083_d',\n 'E07000114_d',\n 'E07000102_d',\n 'E06000034_d',\n 'E07000115_d',\n 'E06000027_d',\n 'E07000046_d',\n 'E09000030_d',\n 'E08000009_d',\n 'E07000116_d',\n 'E07000077_d',\n 'E07000180_d',\n 'E08000036_d',\n 'E08000030_d',\n 'E09000031_d',\n 'E09000032_d',\n 'E06000007_d',\n 'E07000222_d',\n 'E07000103_d',\n 'E07000206_d',\n 'E07000216_d',\n 'E07000065_d',\n 'E07000156_d',\n 'E07000104_d',\n 'E06000037_d',\n 'E07000047_d',\n 'E07000052_d',\n 'E07000127_d',\n 'E07000142_d',\n 'E07000181_d',\n 'E07000191_d',\n 'E09000033_d',\n 'E07000053_d',\n 'E08000010_d',\n 'E06000054_d',\n 'E07000094_d',\n 'E06000040_d',\n 'E08000015_d',\n 'E07000217_d',\n 'E06000041_d',\n 'E08000031_d',\n 'E07000237_d',\n 'E07000229_d',\n 'E07000238_d',\n 'E07000007_d',\n 'E07000128_d',\n 'E07000239_d',\n 'E06000014_d']"
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "names"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "2° Modo de obter o valor das colunas"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "outputs": [
    {
     "data": {
      "text/plain": "array(['E06000001_d', 'E06000001_p', 'E06000001_u', 'E06000002_d',\n       'E06000002_p', 'E06000002_u', 'E06000003_d', 'E06000003_p',\n       'E06000003_u', 'E06000004_d', 'E06000004_p', 'E06000004_u',\n       'E06000005_d', 'E06000005_p', 'E06000005_u', 'E06000006_d',\n       'E06000006_p', 'E06000006_u', 'E06000007_d', 'E06000007_p',\n       'E06000007_u', 'E06000008_d', 'E06000008_p', 'E06000008_u',\n       'E06000009_d', 'E06000009_p', 'E06000009_u', 'E06000010_d',\n       'E06000010_p', 'E06000010_u', 'E06000011_d', 'E06000011_p',\n       'E06000011_u', 'E06000012_d', 'E06000012_p', 'E06000012_u',\n       'E06000013_d', 'E06000013_p', 'E06000013_u', 'E06000014_d',\n       'E06000014_p', 'E06000014_u', 'E06000015_d', 'E06000015_p',\n       'E06000015_u', 'E06000016_d', 'E06000016_p', 'E06000016_u',\n       'E06000017_d', 'E06000017_p', 'E06000017_u', 'E06000018_d',\n       'E06000018_p', 'E06000018_u', 'E06000019_d', 'E06000019_p',\n       'E06000019_u', 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    'E07000193_u', 'E07000194_d', 'E07000194_p', 'E07000194_u',\n       'E07000195_d', 'E07000195_p', 'E07000195_u', 'E07000196_d',\n       'E07000196_p', 'E07000196_u', 'E07000197_d', 'E07000197_p',\n       'E07000197_u', 'E07000198_d', 'E07000198_p', 'E07000198_u',\n       'E07000199_d', 'E07000199_p', 'E07000199_u', 'E07000200_d',\n       'E07000200_p', 'E07000200_u', 'E07000201_d', 'E07000201_p',\n       'E07000201_u', 'E07000202_d', 'E07000202_p', 'E07000202_u',\n       'E07000203_d', 'E07000203_p', 'E07000203_u', 'E07000204_d',\n       'E07000204_p', 'E07000204_u', 'E07000205_d', 'E07000205_p',\n       'E07000205_u', 'E07000206_d', 'E07000206_p', 'E07000206_u',\n       'E07000207_d', 'E07000207_p', 'E07000207_u', 'E07000208_d',\n       'E07000208_p', 'E07000208_u', 'E07000209_d', 'E07000209_p',\n       'E07000209_u', 'E07000210_d', 'E07000210_p', 'E07000210_u',\n       'E07000211_d', 'E07000211_p', 'E07000211_u', 'E07000212_d',\n       'E07000212_p', 'E07000212_u', 'E07000213_d', 'E07000213_p',\n       'E07000213_u', 'E07000214_d', 'E07000214_p', 'E07000214_u',\n       'E07000215_d', 'E07000215_p', 'E07000215_u', 'E07000216_d',\n       'E07000216_p', 'E07000216_u', 'E07000217_d', 'E07000217_p',\n       'E07000217_u', 'E07000218_d', 'E07000218_p', 'E07000218_u',\n       'E07000219_d', 'E07000219_p', 'E07000219_u', 'E07000220_d',\n       'E07000220_p', 'E07000220_u', 'E07000221_d', 'E07000221_p',\n       'E07000221_u', 'E07000222_d', 'E07000222_p', 'E07000222_u',\n       'E07000223_d', 'E07000223_p', 'E07000223_u', 'E07000224_d',\n       'E07000224_p', 'E07000224_u', 'E07000225_d', 'E07000225_p',\n       'E07000225_u', 'E07000226_d', 'E07000226_p', 'E07000226_u',\n       'E07000227_d', 'E07000227_p', 'E07000227_u', 'E07000228_d',\n       'E07000228_p', 'E07000228_u', 'E07000229_d', 'E07000229_p',\n       'E07000229_u', 'E07000234_d', 'E07000234_p', 'E07000234_u',\n       'E07000235_d', 'E07000235_p', 'E07000235_u', 'E07000236_d',\n       'E07000236_p', 'E07000236_u', 'E07000237_d', 'E07000237_p',\n       'E07000237_u', 'E07000238_d', 'E07000238_p', 'E07000238_u',\n       'E07000239_d', 'E07000239_p', 'E07000239_u', 'E08000001_d',\n       'E08000001_p', 'E08000001_u', 'E08000002_d', 'E08000002_p',\n       'E08000002_u', 'E08000003_d', 'E08000003_p', 'E08000003_u',\n       'E08000004_d', 'E08000004_p', 'E08000004_u', 'E08000005_d',\n       'E08000005_p', 'E08000005_u', 'E08000006_d', 'E08000006_p',\n       'E08000006_u', 'E08000007_d', 'E08000007_p', 'E08000007_u',\n       'E08000008_d', 'E08000008_p', 'E08000008_u', 'E08000009_d',\n       'E08000009_p', 'E08000009_u', 'E08000010_d', 'E08000010_p',\n       'E08000010_u', 'E08000011_d', 'E08000011_p', 'E08000011_u',\n       'E08000012_d', 'E08000012_p', 'E08000012_u', 'E08000013_d',\n       'E08000013_p', 'E08000013_u', 'E08000014_d', 'E08000014_p',\n       'E08000014_u', 'E08000015_d', 'E08000015_p', 'E08000015_u',\n       'E08000016_d', 'E08000016_p', 'E08000016_u', 'E08000017_d',\n       'E08000017_p', 'E08000017_u', 'E08000018_d', 'E08000018_p',\n       'E08000018_u', 'E08000019_d', 'E08000019_p', 'E08000019_u',\n       'E08000020_d', 'E08000020_p', 'E08000020_u', 'E08000021_d',\n       'E08000021_p', 'E08000021_u', 'E08000022_d', 'E08000022_p',\n       'E08000022_u', 'E08000023_d', 'E08000023_p', 'E08000023_u',\n       'E08000024_d', 'E08000024_p', 'E08000024_u', 'E08000025_d',\n       'E08000025_p', 'E08000025_u', 'E08000026_d', 'E08000026_p',\n       'E08000026_u', 'E08000027_d', 'E08000027_p', 'E08000027_u',\n       'E08000028_d', 'E08000028_p', 'E08000028_u', 'E08000029_d',\n       'E08000029_p', 'E08000029_u', 'E08000030_d', 'E08000030_p',\n       'E08000030_u', 'E08000031_d', 'E08000031_p', 'E08000031_u',\n       'E08000032_d', 'E08000032_p', 'E08000032_u', 'E08000033_d',\n       'E08000033_p', 'E08000033_u', 'E08000034_d', 'E08000034_p',\n       'E08000034_u', 'E08000035_d', 'E08000035_p', 'E08000035_u',\n       'E08000036_d', 'E08000036_p', 'E08000036_u', 'E09000001_d',\n       'E09000001_p', 'E09000001_u', 'E09000002_d', 'E09000002_p',\n       'E09000002_u', 'E09000003_d', 'E09000003_p', 'E09000003_u',\n       'E09000004_d', 'E09000004_p', 'E09000004_u', 'E09000005_d',\n       'E09000005_p', 'E09000005_u', 'E09000006_d', 'E09000006_p',\n       'E09000006_u', 'E09000007_d', 'E09000007_p', 'E09000007_u',\n       'E09000008_d', 'E09000008_p', 'E09000008_u', 'E09000009_d',\n       'E09000009_p', 'E09000009_u', 'E09000010_d', 'E09000010_p',\n       'E09000010_u', 'E09000011_d', 'E09000011_p', 'E09000011_u',\n       'E09000012_d', 'E09000012_p', 'E09000012_u', 'E09000013_d',\n       'E09000013_p', 'E09000013_u', 'E09000014_d', 'E09000014_p',\n       'E09000014_u', 'E09000015_d', 'E09000015_p', 'E09000015_u',\n       'E09000016_d', 'E09000016_p', 'E09000016_u', 'E09000017_d',\n       'E09000017_p', 'E09000017_u', 'E09000018_d', 'E09000018_p',\n       'E09000018_u', 'E09000019_d', 'E09000019_p', 'E09000019_u',\n       'E09000020_d', 'E09000020_p', 'E09000020_u', 'E09000021_d',\n       'E09000021_p', 'E09000021_u', 'E09000022_d', 'E09000022_p',\n       'E09000022_u', 'E09000023_d', 'E09000023_p', 'E09000023_u',\n       'E09000024_d', 'E09000024_p', 'E09000024_u', 'E09000025_d',\n       'E09000025_p', 'E09000025_u', 'E09000026_d', 'E09000026_p',\n       'E09000026_u', 'E09000027_d', 'E09000027_p', 'E09000027_u',\n       'E09000028_d', 'E09000028_p', 'E09000028_u', 'E09000029_d',\n       'E09000029_p', 'E09000029_u', 'E09000030_d', 'E09000030_p',\n       'E09000030_u', 'E09000031_d', 'E09000031_p', 'E09000031_u',\n       'E09000032_d', 'E09000032_p', 'E09000032_u', 'E09000033_d',\n       'E09000033_p', 'E09000033_u'], dtype='<U11')"
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "names = np.unique([i[1] for i in cur.execute('pragma table_info(LA_wifi_speed_UK)')])\n",
    "np.delete(names, 0)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "1° Modo de remover os marcadores do final da string"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "outputs": [],
   "source": [
    "for i in range(len(names)):\n",
    "    if '_d' in names[i]:\n",
    "        names[i] = names[i].replace('_d', '')\n",
    "    elif '_u' in names[i]:\n",
    "        names[i] = names[i].replace('_u', '')\n",
    "    elif '_p' in names[i]:\n",
    "        names[i] = names[i].replace('_p', '')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "2° Modo de remover os marcadores do final da string"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "outputs": [],
   "source": [
    "AreaNames = list(set([i[:-2] for i in names]))"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "outputs": [
    {
     "data": {
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     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "names"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "outputs": [],
   "source": [
    "suffix = {'_p': 'ping', '_d': 'download', '_u': 'upload'}"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1000x800 with 0 Axes>"
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 1000x800 with 0 Axes>"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,8))"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "outputs": [
    {
     "data": {
      "text/plain": "Text(0.5, 1.0, 'E07000193')"
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "area = AreaNames[0]\n",
    "for s in suffix.keys():\n",
    "    query = f'SELECT {area}{s} FROM LA_wifi_speed_UK'\n",
    "    cur.execute(query)\n",
    "    plt.plot(cur.fetchall(), label=suffix[s])\n",
    "plt.title(area)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "outputs": [],
   "source": [
    "SpeedDF = pd.DataFrame(columns=['Area', 'Average_p', 'Average_d', 'Average_u'])"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "outputs": [],
   "source": [
    "for ar in AreaNames:\n",
    "    means = [ar]\n",
    "    for s in suffix.keys():\n",
    "        means.append(np.mean(list(cur.execute(f'SELECT {ar}{s} FROM LA_wifi_speed_UK'))))\n",
    "    means = pd.Series(dict(zip(['Area', 'Average_p', 'Average_d', 'Average_u'], means)))\n",
    "    SpeedDF = pd.concat([SpeedDF, means.to_frame().T], ignore_index=True)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "outputs": [
    {
     "data": {
      "text/plain": "          Area  Average_p  Average_d Average_u\n0    E07000193  52.306149  21.090248  8.421844\n1    E09000021  52.617278  21.466897  8.592484\n2    E07000180  52.459673  21.297514  8.444202\n3    E07000198  51.964341   21.14011  8.341121\n4    E07000164  51.929354  20.785617  8.325232\n..         ...        ...        ...       ...\n321  E07000026  51.618836   20.81608    8.3524\n322  E09000018  54.148077  22.589704  8.933799\n323  E07000229  51.795795  21.255787  8.383352\n324  E07000143  51.887536  21.421846  8.495484\n325  E08000013  53.490657  21.594366  8.631623\n\n[326 rows x 4 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Area</th>\n      <th>Average_p</th>\n      <th>Average_d</th>\n      <th>Average_u</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>E07000193</td>\n      <td>52.306149</td>\n      <td>21.090248</td>\n      <td>8.421844</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>E09000021</td>\n      <td>52.617278</td>\n      <td>21.466897</td>\n      <td>8.592484</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>E07000180</td>\n      <td>52.459673</td>\n      <td>21.297514</td>\n      <td>8.444202</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>E07000198</td>\n      <td>51.964341</td>\n      <td>21.14011</td>\n      <td>8.341121</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>E07000164</td>\n      <td>51.929354</td>\n      <td>20.785617</td>\n      <td>8.325232</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>321</th>\n      <td>E07000026</td>\n      <td>51.618836</td>\n      <td>20.81608</td>\n      <td>8.3524</td>\n    </tr>\n    <tr>\n      <th>322</th>\n      <td>E09000018</td>\n      <td>54.148077</td>\n      <td>22.589704</td>\n      <td>8.933799</td>\n    </tr>\n    <tr>\n      <th>323</th>\n      <td>E07000229</td>\n      <td>51.795795</td>\n      <td>21.255787</td>\n      <td>8.383352</td>\n    </tr>\n    <tr>\n      <th>324</th>\n      <td>E07000143</td>\n      <td>51.887536</td>\n      <td>21.421846</td>\n      <td>8.495484</td>\n    </tr>\n    <tr>\n      <th>325</th>\n      <td>E08000013</td>\n      <td>53.490657</td>\n      <td>21.594366</td>\n      <td>8.631623</td>\n    </tr>\n  </tbody>\n</table>\n<p>326 rows × 4 columns</p>\n</div>"
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SpeedDF"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "outputs": [
    {
     "data": {
      "text/plain": "<matplotlib.legend.Legend at 0x1c3320f9ac0>"
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 2000x1000 with 1 Axes>",
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "plt.plot(SpeedDF.index, SpeedDF[['Average_d', 'Average_u', 'Average_p']], 'o')\n",
    "plt.legend(['Average download', 'Average upload', 'Average Ping'])"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "outputs": [
    {
     "data": {
      "text/plain": "RangeIndex(start=0, stop=326, step=1)"
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SpeedDF.index"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "outputs": [],
   "source": [
    "try:\n",
    "    cur.execute('DROP TABLE average_speed')\n",
    "except:\n",
    "    pass"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Table 'average_speed' already exists.",
     "output_type": "error",
     "traceback": [
      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[1;31mValueError\u001B[0m                                Traceback (most recent call last)",
      "\u001B[1;32m~\\AppData\\Local\\Temp\\ipykernel_13004\\545102589.py\u001B[0m in \u001B[0;36m<module>\u001B[1;34m\u001B[0m\n\u001B[1;32m----> 1\u001B[1;33m \u001B[0mSpeedDF\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mto_sql\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;34m'average_speed'\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[0m",
      "\u001B[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\core\\generic.py\u001B[0m in \u001B[0;36mto_sql\u001B[1;34m(self, name, con, schema, if_exists, index, index_label, chunksize, dtype, method)\u001B[0m\n\u001B[0;32m   2949\u001B[0m         \u001B[1;32mfrom\u001B[0m \u001B[0mpandas\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mio\u001B[0m \u001B[1;32mimport\u001B[0m \u001B[0msql\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m   2950\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m-> 2951\u001B[1;33m         return sql.to_sql(\n\u001B[0m\u001B[0;32m   2952\u001B[0m             \u001B[0mself\u001B[0m\u001B[1;33m,\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m   2953\u001B[0m             \u001B[0mname\u001B[0m\u001B[1;33m,\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\io\\sql.py\u001B[0m in \u001B[0;36mto_sql\u001B[1;34m(frame, name, con, schema, if_exists, index, index_label, chunksize, dtype, method, engine, **engine_kwargs)\u001B[0m\n\u001B[0;32m    696\u001B[0m         )\n\u001B[0;32m    697\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 698\u001B[1;33m     return pandas_sql.to_sql(\n\u001B[0m\u001B[0;32m    699\u001B[0m         \u001B[0mframe\u001B[0m\u001B[1;33m,\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    700\u001B[0m         \u001B[0mname\u001B[0m\u001B[1;33m,\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\io\\sql.py\u001B[0m in \u001B[0;36mto_sql\u001B[1;34m(self, frame, name, if_exists, index, index_label, schema, chunksize, dtype, method, **kwargs)\u001B[0m\n\u001B[0;32m   2190\u001B[0m             \u001B[0mdtype\u001B[0m\u001B[1;33m=\u001B[0m\u001B[0mdtype\u001B[0m\u001B[1;33m,\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m   2191\u001B[0m         )\n\u001B[1;32m-> 2192\u001B[1;33m         \u001B[0mtable\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mcreate\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   2193\u001B[0m         \u001B[1;32mreturn\u001B[0m \u001B[0mtable\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0minsert\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mchunksize\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mmethod\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m   2194\u001B[0m \u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;32m~\\anaconda3\\lib\\site-packages\\pandas\\io\\sql.py\u001B[0m in \u001B[0;36mcreate\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m    832\u001B[0m         \u001B[1;32mif\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mexists\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    833\u001B[0m             \u001B[1;32mif\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mif_exists\u001B[0m \u001B[1;33m==\u001B[0m \u001B[1;34m\"fail\"\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[1;32m--> 834\u001B[1;33m                 \u001B[1;32mraise\u001B[0m \u001B[0mValueError\u001B[0m\u001B[1;33m(\u001B[0m\u001B[1;34mf\"Table '{self.name}' already exists.\"\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    835\u001B[0m             \u001B[1;32melif\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mif_exists\u001B[0m \u001B[1;33m==\u001B[0m \u001B[1;34m\"replace\"\u001B[0m\u001B[1;33m:\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n\u001B[0;32m    836\u001B[0m                 \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mpd_sql\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mdrop_table\u001B[0m\u001B[1;33m(\u001B[0m\u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mname\u001B[0m\u001B[1;33m,\u001B[0m \u001B[0mself\u001B[0m\u001B[1;33m.\u001B[0m\u001B[0mschema\u001B[0m\u001B[1;33m)\u001B[0m\u001B[1;33m\u001B[0m\u001B[1;33m\u001B[0m\u001B[0m\n",
      "\u001B[1;31mValueError\u001B[0m: Table 'average_speed' already exists."
     ]
    }
   ],
   "source": [
    "SpeedDF.to_sql('average_speed', conn)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(0, 'E06000049', 57.1189311251165, 23.482726821515023, 9.38933695300067)\n",
      "(1, 'E07000144', 52.399481702976395, 21.319127204659473, 8.439453820303461)\n"
     ]
    }
   ],
   "source": [
    "query_2 = 'SELECT * FROM average_speed'\n",
    "cur.execute(query_2)\n",
    "print(cur.fetchone())\n",
    "print(cur.fetchone())"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "outputs": [
    {
     "data": {
      "text/plain": "<sqlite3.Cursor at 0x1c32d4220a0>"
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = 'SELECT * FROM LA_population'\n",
    "cur.execute(query)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('Aberdeen City', 'S12000033', 222793)\n",
      "('Aberdeenshire', 'S12000034', 252973)\n",
      "('Adur', 'E07000223', 61182)\n",
      "('Allerdale', 'E07000026', 96422)\n",
      "('Amber Valley', 'E07000032', 122309)\n",
      "('Angus', 'S12000041', 115978)\n",
      "('Antrim and Newtownabbey', 'N09000001', 138567)\n",
      "('Ards and North Down', 'N09000011', 156672)\n",
      "('Argyll and Bute', 'S12000035', 88166)\n",
      "('Armagh City, Banbridge and Craigavon', 'N09000002', 199693)\n"
     ]
    }
   ],
   "source": [
    "for i in range(10):\n",
    "    print(cur.fetchone())"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "outputs": [],
   "source": [
    "query = 'CREATE TABLE CompleteTables AS SELECT * FROM average_speed INNER JOIN LA_population ON LA_population.\"LA_code\"=average_speed.Area'"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 264,
   "outputs": [
    {
     "data": {
      "text/plain": "<sqlite3.Cursor at 0x1c332febdc0>"
     },
     "execution_count": 264,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cur.execute(query)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "outputs": [
    {
     "data": {
      "text/plain": "<sqlite3.Cursor at 0x1c32d4220a0>"
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cur.execute('SELECT * FROM average_speed')"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "k = 0\n",
    "for row in cur:\n",
    "    print(row)\n",
    "    if k > 10:\n",
    "        break\n",
    "    k += 1"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "is_executing": true
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(0, 'E06000049', 57.1189311251165, 23.482726821515023, 9.38933695300067, 'Cheshire East', 'E06000049', 370127)\n",
      "(1, 'E07000144', 52.399481702976395, 21.319127204659473, 8.439453820303461, 'Broadland', 'E07000144', 124646)\n",
      "(2, 'E07000149', 52.2854237466161, 21.25067953397555, 8.46744541230226, 'South Norfolk', 'E07000149', 124012)\n",
      "(3, 'E08000030', 55.0472676592317, 22.367238215239638, 8.996323128069362, 'Walsall', 'E08000030', 269323)\n",
      "(4, 'E06000041', 52.92911207486941, 21.477284748725108, 8.58172027862129, 'Wokingham', 'E06000041', 154380)\n",
      "(5, 'E07000068', 51.081754825359695, 20.521445374085836, 8.25983863368062, 'Brentwood', 'E07000068', 73601)\n",
      "(6, 'E07000073', 51.7312779579503, 20.717082962625994, 8.30346035451389, 'Harlow', 'E07000073', 81944)\n",
      "(7, 'E07000148', 52.2505110985487, 21.373443161390078, 8.483157470561892, 'Norwich', 'E07000148', 132512)\n",
      "(8, 'E07000044', 51.7431834978036, 20.974790708551264, 8.306129552459, 'South Hams', 'E07000044', 83140)\n",
      "(9, 'E09000006', 55.7376509361521, 23.022104533360615, 9.11577022878608, 'Bromley', 'E09000006', 309392)\n",
      "(10, 'E06000039', 52.4316950108538, 21.251761070814258, 8.520327608707179, 'Slough', 'E06000039', 140205)\n",
      "(11, 'E07000029', 51.5013098270935, 20.64391895833098, 8.25166297449332, 'Copeland', 'E07000029', 70603)\n",
      "(12, 'E07000008', 52.4344416128401, 21.317241011471335, 8.476412907722882, 'Cambridge', 'E07000008', 123867)\n",
      "(13, 'E07000099', 51.8929903616947, 21.189043079506643, 8.4944369009337, 'North Hertfordshire', 'E07000099', 127114)\n",
      "(14, 'E08000005', 54.0872185914249, 22.189737931522032, 8.7782853671417, 'Rochdale', 'E08000005', 211699)\n",
      "(15, 'E07000174', 51.9852794264358, 21.306595532289396, 8.36674770948086, 'Mansfield', 'E07000174', 104466)\n",
      "(16, 'E07000221', 52.421030246101196, 21.080781581738805, 8.44809652895556, 'Stratford-on-Avon', 'E07000221', 120485)\n",
      "(17, 'E07000137', 52.8367149861851, 21.441474740703576, 8.50486814383878, 'East Lindsey', 'E07000137', 136401)\n",
      "(18, 'E07000127', 51.918270399692204, 20.958872910120366, 8.392851332046819, 'West Lancashire', 'E07000127', 110685)\n",
      "(19, 'E07000065', 53.172878756485, 21.520919629859637, 8.56374163267177, 'Wealden', 'E07000065', 148915)\n",
      "(20, 'E07000141', 52.3621156919519, 21.296366145754238, 8.49145122462106, 'South Kesteven', 'E07000141', 133788)\n",
      "(21, 'E07000222', 52.4028591405755, 21.324166725333598, 8.529147945494161, 'Warwick', 'E07000222', 137648)\n",
      "(22, 'E07000164', 51.9293539323039, 20.785617004570216, 8.32523232526166, 'Hambleton', 'E07000164', 89140)\n",
      "(23, 'E07000140', 51.6475845307829, 20.921209178435934, 8.34908712734803, 'South Holland', 'E07000140', 88270)\n",
      "(24, 'E06000048', 55.2700481326368, 23.033165634050544, 9.156031741479241, 'Northumberland', 'E06000048', 316028)\n",
      "(25, 'E07000121', 52.800430309125396, 21.373922420128736, 8.51161070785075, 'Lancaster', 'E07000121', 138375)\n",
      "(26, 'E07000030', 50.114973468329204, 20.43596427509176, 8.21729664696438, 'Eden', 'E07000030', 52564)\n",
      "(27, 'E07000128', 52.120667094286595, 21.096500831163176, 8.38888590425787, 'Wyre', 'E07000128', 107749)\n",
      "(28, 'E07000126', 52.2115536155096, 21.18224429545448, 8.3848365059707, 'South Ribble', 'E07000126', 109057)\n",
      "(29, 'E07000139', 51.453603545133696, 21.10605016482005, 8.41749323301188, 'North Kesteven', 'E07000139', 107766)\n",
      "(30, 'E07000133', 50.79681827106539, 20.629943298076295, 8.18125591761274, 'Melton', 'E07000133', 50376)\n",
      "(31, 'E08000023', 52.5313002294671, 21.36662513821653, 8.5482820969613, 'South Tyneside', 'E08000023', 148127)\n",
      "(32, 'E07000045', 52.3359220181582, 21.27710452717704, 8.47717512006466, 'Teignbridge', 'E07000045', 124220)\n",
      "(33, 'E06000004', 53.417296500529396, 21.76911189737287, 8.69946746597114, 'Stockton-on-Tees', 'E06000004', 191610)\n",
      "(34, 'E07000032', 52.0766694339345, 21.10566692275267, 8.44985478285084, 'Amber Valley', 'E07000032', 122309)\n",
      "(35, 'E07000070', 53.466255963876904, 21.391933945183496, 8.617564318618399, 'Chelmsford', 'E07000070', 168310)\n",
      "(36, 'E08000024', 55.6373416518647, 22.680260916459048, 9.026875624031291, 'Sunderland', 'E08000024', 275506)\n",
      "(37, 'E08000012', 59.2219084155843, 24.55942790008021, 9.72713959267915, 'Liverpool', 'E08000012', 466415)\n",
      "(38, 'E07000207', 52.4830675801572, 21.332886241252748, 8.47322098727358, 'Elmbridge', 'E07000207', 130875)\n",
      "(39, 'E07000084', 53.2745057728902, 21.73538478513638, 8.60928559983808, 'Basingstoke and Deane', 'E07000084', 167799)\n",
      "(40, 'E07000143', 51.8875361982357, 21.421846297560055, 8.49548401653102, 'Breckland', 'E07000143', 130491)\n",
      "(41, 'E07000040', 52.741322952385204, 21.236079956538696, 8.499782811078461, 'East Devon', 'E07000040', 132457)\n",
      "(42, 'E08000009', 54.2820862250239, 22.2357358590172, 8.830651184023969, 'Trafford', 'E08000009', 226578)\n",
      "(43, 'E07000010', 51.9935025360711, 20.849901922141903, 8.34200589309504, 'Fenland', 'E07000010', 95262)\n",
      "(44, 'E07000168', 51.6772833337656, 21.116877506545805, 8.40207797381427, 'Scarborough', 'E07000168', 108793)\n",
      "(45, 'E07000110', 52.850341015191795, 21.721099680875213, 8.568198903188932, 'Maidstone', 'E07000110', 155143)\n",
      "(46, 'E07000169', 51.1533782677364, 20.83389745622401, 8.29284857641148, 'Selby', 'E07000169', 83449)\n",
      "(47, 'E07000237', 52.1397015270024, 21.113032492465106, 8.35885973354263, 'Worcester', 'E07000237', 98768)\n",
      "(48, 'E08000027', 55.9344422829638, 22.964950341430846, 9.156008604190971, 'Dudley', 'E08000027', 312925)\n",
      "(49, 'E07000062', 51.817549087491294, 20.912328333264966, 8.32517100258101, 'Hastings', 'E07000062', 90254)\n",
      "(50, 'E09000007', 53.455947838987804, 22.14513655290408, 8.81399266135949, 'Camden', 'E09000007', 220338)\n",
      "(51, 'E07000135', 51.3699891135187, 20.872409570077668, 8.24005555755592, 'Oadby and Wigston', 'E07000135', 56170)\n",
      "(52, 'E06000012', 52.876283312130994, 21.515468932215885, 8.609115298934018, 'North East Lincolnshire', 'E06000012', 159616)\n",
      "(53, 'E07000108', 52.428615504103696, 21.0579308387657, 8.42961246292264, 'Dover', 'E07000108', 111674)\n",
      "(54, 'E07000142', 52.0929852466703, 20.681975927803634, 8.33227979362523, 'West Lindsey', 'E07000142', 89250)\n",
      "(55, 'E07000071', 52.5624733307549, 21.676268533091978, 8.642841105680022, 'Colchester', 'E07000071', 173074)\n",
      "(56, 'E06000035', 54.5772361829552, 22.67862630603166, 8.99077649239538, 'Medway', 'E06000035', 263925)\n",
      "(57, 'E07000012', 52.6065767382744, 21.31994860699705, 8.520716793369491, 'South Cambridgeshire', 'E07000012', 148755)\n",
      "(58, 'E08000015', 55.98129628866109, 22.945773786534094, 9.19128242345917, 'Wirral', 'E08000015', 319783)\n",
      "(59, 'E08000010', 55.862332074037006, 23.24433406095608, 9.19804677701181, 'Wigan', 'E08000010', 317849)\n",
      "(60, 'E08000035', 64.30254936643881, 26.99512521991818, 10.79042389489722, 'Leeds', 'E08000035', 751485)\n",
      "(61, 'E09000008', 56.7206353105623, 23.33368919053078, 9.33350436393416, 'Croydon', 'E09000008', 363378)\n",
      "(62, 'E08000020', 53.2510249336328, 21.993000231368374, 8.776633463657399, 'Gateshead', 'E08000020', 200214)\n",
      "(63, 'E08000004', 54.06527657319771, 21.970639271836415, 8.84325329678785, 'Oldham', 'E08000004', 224897)\n",
      "(64, 'E07000081', 52.4923732389332, 21.377423278656025, 8.487922785229799, 'Gloucester', 'E07000081', 121688)\n",
      "(65, 'E07000199', 51.4632373698827, 20.853852435694563, 8.31856849314693, 'Tamworth', 'E07000199', 76813)\n",
      "(66, 'E06000055', 52.7892451625084, 21.75804836806417, 8.579947125558421, 'Bedford', 'E06000055', 157479)\n",
      "(67, 'E08000022', 53.106180082485096, 21.81158960405845, 8.74351962467307, 'North Tyneside', 'E08000022', 200801)\n",
      "(68, 'E07000074', 51.1835285285798, 20.626918711334923, 8.25562498434544, 'Maldon', 'E07000074', 61629)\n",
      "(69, 'E07000209', 52.5753453662634, 21.233359143211796, 8.51659887001654, 'Guildford', 'E07000209', 137183)\n",
      "(70, 'E06000010', 55.273678018129196, 22.345734570925284, 8.93732771315163, 'Kingston upon Hull, City of', 'E06000010', 256406)\n",
      "(71, 'E07000189', 52.6927456676593, 21.547850869865783, 8.600814565484928, 'South Somerset', 'E07000189', 161243)\n",
      "(72, 'E07000098', 51.2814006648323, 20.856103716300787, 8.37789898881246, 'Hertsmere', 'E07000098', 100031)\n",
      "(73, 'E07000192', 52.211869193858405, 20.80488161114995, 8.34426803535672, 'Cannock Chase', 'E07000192', 97462)\n",
      "(74, 'E07000105', 51.807182214661, 21.145754324646784, 8.432118849908601, 'Ashford', 'E07000105', 117956)\n",
      "(75, 'E07000229', 51.7957947806213, 21.25578722424466, 8.383352481355919, 'Worthing', 'E07000229', 104640)\n",
      "(76, 'E07000097', 52.566642789423184, 21.337226347185663, 8.4951857043562, 'East Hertfordshire', 'E07000097', 137687)\n",
      "(77, 'E07000194', 52.1110390132193, 20.892160562907623, 8.35553114372988, 'Lichfield', 'E07000194', 100654)\n",
      "(78, 'E07000198', 51.9643407352224, 21.140110012758797, 8.34112066203095, 'Staffordshire Moorlands', 'E07000198', 97106)\n",
      "(79, 'E07000175', 52.011513450361704, 20.99994010650627, 8.44774422813588, 'Newark and Sherwood', 'E07000175', 114817)\n",
      "(80, 'E07000124', 50.221057006963605, 20.759189346942904, 8.18140734403482, 'Ribble Valley', 'E07000124', 57132)\n",
      "(81, 'E07000123', 53.1336258081284, 21.447637342357694, 8.534959831436248, 'Preston', 'E07000123', 140202)\n",
      "(82, 'E07000104', 52.646797648673996, 20.817734572462612, 8.420237361360199, 'Welwyn Hatfield', 'E07000104', 110535)\n",
      "(83, 'E09000002', 52.92656016185311, 21.631367284904584, 8.73021056851787, 'Barking and Dagenham', 'E09000002', 185911)\n",
      "(84, 'E09000022', 55.825056256786496, 22.902980370244027, 9.147424762041359, 'Lambeth', 'E09000022', 303086)\n",
      "(85, 'E08000031', 54.469367882536794, 22.406533835110682, 8.89999182216895, 'Wolverhampton', 'E08000031', 249470)\n",
      "(86, 'E08000002', 53.44265119298011, 21.936242303638803, 8.674345578856961, 'Bury', 'E08000002', 185060)\n",
      "(87, 'E07000193', 52.3061487889532, 21.090248216549806, 8.42184430011026, 'East Staffordshire', 'E07000193', 113583)\n",
      "(88, 'E07000114', 51.89696300796977, 21.411959572865257, 8.50123343956152, 'Thanet', 'E07000114', 134186)\n",
      "(89, 'E07000147', 51.7377747686689, 20.793556266291546, 8.40093858230782, 'North Norfolk', 'E07000147', 101499)\n",
      "(90, 'E07000200', 52.2145023587206, 20.913710213405043, 8.32674354923213, 'Babergh', 'E07000200', 87740)\n",
      "(91, 'E07000061', 51.84064404211, 20.98055306605438, 8.37933347646395, 'Eastbourne', 'E07000061', 99412)\n",
      "(92, 'E07000007', 53.2188127897045, 21.666533347420003, 8.60868345984075, 'Wycombe', 'E07000007', 171644)\n",
      "(93, 'E07000177', 52.144335733946, 21.355246795731905, 8.52092460854218, 'Cherwell', 'E07000177', 141868)\n",
      "(94, 'E08000029', 53.4272558875148, 22.02557759602913, 8.77526169921689, 'Solihull', 'E08000029', 206674)\n",
      "(95, 'E06000030', 53.868077106231496, 21.94745133475703, 8.797779982773191, 'Swindon', 'E06000030', 209156)\n",
      "(96, 'E08000032', 60.0688851503526, 24.98213445275248, 9.98274175358513, 'Bradford', 'E08000032', 522452)\n",
      "(97, 'E08000007', 54.7709952720078, 22.776201911331167, 9.04922564589338, 'Stockport', 'E08000007', 283275)\n",
      "(98, 'E07000146', 52.580343260468005, 21.49192005270229, 8.53547990925142, \"King's Lynn and West Norfolk\", 'E07000146', 147451)\n",
      "(99, 'E08000036', 55.202150876611704, 23.096105991711305, 9.246247926556029, 'Wakefield', 'E08000036', 325837)\n",
      "(100, 'E07000039', 51.9456973830425, 21.047748159370315, 8.349792505098499, 'South Derbyshire', 'E07000039', 94611)\n",
      "(101, 'E07000201', 50.7502920325995, 20.71668292057585, 8.22115474500351, 'Forest Heath', 'E07000201', 59748)\n",
      "(102, 'E07000138', 51.8692104825426, 21.02447114229571, 8.331449357205528, 'Lincoln', 'E07000138', 93541)\n",
      "(103, 'E07000173', 51.77664419224, 21.08961095204233, 8.44302472968811, 'Gedling', 'E07000173', 113543)\n",
      "(104, 'E07000197', 52.7436702755841, 21.278093416456116, 8.47947052639371, 'Stafford', 'E07000197', 130869)\n",
      "(105, 'E06000026', 54.529827966308304, 22.441037967600153, 8.94948989739296, 'Plymouth', 'E06000026', 256384)\n",
      "(106, 'E07000100', 52.4602518551577, 21.43954328828173, 8.54749702765117, 'St Albans', 'E07000100', 140664)\n",
      "(107, 'E07000151', 51.856516817308595, 20.9049277422198, 8.297922252859221, 'Daventry', 'E07000151', 77843)\n",
      "(108, 'E07000165', 52.70879910857259, 21.5561080787063, 8.6102791925299, 'Harrogate', 'E07000165', 157869)\n",
      "(109, 'E09000030', 54.4120008086942, 22.469437901609513, 8.983481037783509, 'Tower Hamlets', 'E09000030', 254096)\n",
      "(110, 'E07000095', 51.4931700521825, 20.813795990097706, 8.34441004825175, 'Broxbourne', 'E07000095', 93609)\n",
      "(111, 'E09000023', 55.640270102168095, 22.5462704215549, 9.04866257229146, 'Lewisham', 'E09000023', 275885)\n",
      "(112, 'E07000131', 51.7436266409485, 21.045306762518397, 8.31011746237259, 'Harborough', 'E07000131', 85382)\n",
      "(113, 'E08000016', 53.7553358825835, 22.334469203983, 8.85956712590659, 'Barnsley', 'E08000016', 231221)\n",
      "(114, 'E07000035', 51.813879765292, 20.7841177870601, 8.262874127829829, 'Derbyshire Dales', 'E07000035', 71116)\n",
      "(115, 'E06000024', 54.09983450341699, 21.76249960093134, 8.73619328766791, 'North Somerset', 'E06000024', 202566)\n",
      "(116, 'E06000014', 53.2390321486556, 21.7901807612344, 8.74192467194362, 'York', 'E06000014', 198051)\n",
      "(117, 'E08000013', 53.4906574015143, 21.594365770886903, 8.631623487674831, 'St. Helens', 'E08000013', 175308)\n",
      "(118, 'E07000113', 52.3072330174985, 21.05384255562158, 8.502124559184299, 'Swale', 'E07000113', 135835)\n",
      "(119, 'E06000028', 53.423798991367704, 21.72776093492851, 8.67784611256707, 'Bournemouth', 'E06000028', 183491)\n",
      "(120, 'E09000010', 55.920354045504205, 22.807716264538737, 9.15475925674605, 'Enfield', 'E09000010', 312466)\n",
      "(121, 'E06000021', 54.7861318572929, 22.53359594397404, 8.90758729808803, 'Stoke-on-Trent', 'E06000021', 249008)\n",
      "(122, 'E07000118', 51.676693825925796, 21.18789937082689, 8.39385405528833, 'Chorley', 'E07000118', 107155)\n",
      "(123, 'E07000228', 52.5327964280985, 21.423004306543028, 8.50610068799328, 'Mid Sussex', 'E07000228', 139860)\n",
      "(124, 'E07000088', 52.1595550776475, 20.82135616113725, 8.316713181454642, 'Gosport', 'E07000088', 82622)\n",
      "(125, 'E07000188', 51.967712765194705, 21.114114486758346, 8.45189688569627, 'Sedgemoor', 'E07000188', 114588)\n",
      "(126, 'E06000036', 52.4778350838931, 21.18927961867125, 8.418838548643059, 'Bracknell Forest', 'E06000036', 113205)\n",
      "(127, 'E08000006', 54.314180909679, 22.234557614959748, 8.874737563433321, 'Salford', 'E08000006', 233933)\n",
      "(128, 'E07000111', 52.1056176207192, 20.94343201884231, 8.4338670483297, 'Sevenoaks', 'E07000111', 114893)\n",
      "(129, 'E09000028', 55.6974425707088, 22.84255444107179, 9.06733196664032, 'Southwark', 'E09000028', 288283)\n",
      "(130, 'E07000112', 51.965947275107396, 21.06398801640171, 8.39483577705211, 'Shepway', 'E07000112', 107969)\n",
      "(131, 'E08000011', 52.9035762220719, 21.14139562931893, 8.562147205618869, 'Knowsley', 'E08000011', 145893)\n",
      "(132, 'E06000029', 53.0422055200026, 21.453928248450953, 8.553193245688009, 'Poole', 'E06000029', 147645)\n",
      "(133, 'E07000092', 51.670706977818305, 21.08355153349529, 8.328357120304762, 'Rushmoor', 'E07000092', 93807)\n",
      "(134, 'E07000176', 52.1718285811453, 21.23177271033462, 8.418473051113, 'Rushcliffe', 'E07000176', 111129)\n",
      "(135, 'E07000156', 51.255093824298896, 20.683522386347498, 8.27997828464855, 'Wellingborough', 'E07000156', 75356)\n",
      "(136, 'E07000191', 50.492327384042696, 20.28030319855073, 8.15421706904733, 'West Somerset', 'E07000191', 34675)\n",
      "(137, 'E07000196', 51.678264568932796, 21.08590207594019, 8.383260369893101, 'South Staffordshire', 'E07000196', 108131)\n",
      "(138, 'E07000115', 52.1015672334649, 21.37550491933511, 8.44203849492341, 'Tonbridge and Malling', 'E07000115', 120805)\n",
      "(139, 'E07000227', 52.6217302078927, 21.45831382435831, 8.48502207929543, 'Horsham', 'E07000227', 131301)\n",
      "(140, 'E09000004', 53.724254024439794, 22.18113950475818, 8.85442077171286, 'Bexley', 'E09000004', 231997)\n",
      "(141, 'E08000008', 53.558359387103, 22.1226131493414, 8.84117893727987, 'Tameside', 'E08000008', 219324)\n",
      "(142, 'E09000025', 55.4983227416044, 22.75770719019189, 9.17095171057829, 'Newham', 'E09000025', 307984)\n",
      "(143, 'E06000044', 53.7708845954198, 21.984499003450413, 8.750949333189459, 'Portsmouth', 'E06000044', 205056)\n",
      "(144, 'E06000027', 52.6312333364126, 21.22961332178507, 8.504995496567131, 'Torbay', 'E06000027', 130959)\n",
      "(145, 'E06000056', 55.01728647523159, 22.498283285930224, 8.934629094756, 'Central Bedfordshire', 'E06000056', 254381)\n",
      "(146, 'E06000007', 53.3657089901816, 22.14154908925869, 8.71565819697993, 'Warrington', 'E06000007', 202228)\n",
      "(147, 'E07000026', 51.6188361716707, 20.816080382179386, 8.35239979732634, 'Allerdale', 'E07000026', 96422)\n",
      "(148, 'E06000033', 52.8055554533698, 21.6622829329189, 8.651672685051041, 'Southend-on-Sea', 'E06000033', 173658)\n",
      "(149, 'E07000093', 52.443699398218, 21.220479768366353, 8.417243505474081, 'Test Valley', 'E07000093', 116398)\n",
      "(150, 'E09000031', 55.138016733785896, 22.353592957034735, 8.95648118318368, 'Waltham Forest', 'E09000031', 258249)\n",
      "(151, 'E07000038', 51.7823535049856, 20.86065508743302, 8.35628812095107, 'North East Derbyshire', 'E07000038', 99023)\n",
      "(152, 'E09000016', 54.8239694192215, 22.367859382953377, 8.87197940806055, 'Havering', 'E09000016', 237232)\n",
      "(153, 'E06000018', 55.54333923009, 23.01847059824431, 9.14628511258312, 'Nottingham', 'E06000018', 305680)\n",
      "(154, 'E07000213', 51.764905577658695, 21.206034774941784, 8.358610663733039, 'Spelthorne', 'E07000213', 95598)\n",
      "(155, 'E07000117', 51.5394580074299, 20.631205214910203, 8.32793606619763, 'Burnley', 'E07000117', 87059)\n",
      "(156, 'E07000042', 51.7861375781104, 20.82935355096905, 8.283364179352729, 'Mid Devon', 'E07000042', 77750)\n",
      "(157, 'E07000004', 53.6995722278706, 21.942205331271907, 8.6429473838839, 'Aylesbury Vale', 'E07000004', 174137)\n",
      "(158, 'E07000107', 51.8270851406037, 20.88015069883758, 8.352989591262071, 'Dartford', 'E07000107', 97365)\n",
      "(159, 'E09000021', 52.6172778558508, 21.466897383843577, 8.592484046910108, 'Kingston upon Thames', 'E09000021', 160060)\n",
      "(160, 'E07000083', 51.194877919537596, 20.78012874471825, 8.289832595674499, 'Tewkesbury', 'E07000083', 81943)\n",
      "(161, 'E09000032', 55.962498897141295, 22.85900340588992, 9.144284919048271, 'Wandsworth', 'E09000032', 306995)\n",
      "(162, 'E08000021', 54.977137386694096, 22.334795545054774, 9.022745661684281, 'Newcastle upon Tyne', 'E08000021', 280177)\n",
      "(163, 'E07000082', 52.0697070102523, 21.219117674455536, 8.40531082536577, 'Stroud', 'E07000082', 112779)\n",
      "(164, 'E08000001', 54.8848478153725, 22.57154463432523, 9.02459195027579, 'Bolton', 'E08000001', 276786)\n",
      "(165, 'E07000087', 52.2941637211684, 21.005942044042598, 8.406956215178951, 'Fareham', 'E07000087', 111581)\n",
      "(166, 'E09000019', 53.6733262553149, 21.851228628281415, 8.752251545059018, 'Islington', 'E09000019', 206125)\n",
      "(167, 'E06000032', 53.423176275886405, 21.6942671014734, 8.74757624746034, 'Luton', 'E06000032', 203201)\n",
      "(168, 'E07000116', 52.587380161624196, 21.187027712573258, 8.443655390781311, 'Tunbridge Wells', 'E07000116', 115049)\n",
      "(169, 'E07000224', 52.335473519375796, 21.44085961883802, 8.58293988911429, 'Arun', 'E07000224', 149518)\n",
      "(170, 'E06000006', 52.8780899420638, 21.2387035397305, 8.48024923683663, 'Halton', 'E06000006', 125746)\n",
      "(171, 'E07000132', 51.9281439741785, 21.07346207615492, 8.3925147768858, 'Hinckley and Bosworth', 'E07000132', 105078)\n",
      "(172, 'E08000003', 60.2707595606744, 24.750753053178972, 9.88432962371191, 'Manchester', 'E08000003', 503127)\n",
      "(173, 'E07000033', 51.7044105234561, 20.855104947179676, 8.25438502871984, 'Bolsover', 'E07000033', 75866)\n",
      "(174, 'E07000043', 51.8768430114881, 20.972191298044642, 8.357638244770271, 'North Devon', 'E07000043', 93667)\n",
      "(175, 'E06000040', 52.1842966991718, 21.33077235412525, 8.530594261666181, 'Windsor and Maidenhead', 'E06000040', 144560)\n",
      "(176, 'E07000125', 52.0808472838531, 20.44048393170491, 8.24329031457051, 'Rossendale', 'E07000125', 67982)\n",
      "(177, 'E07000178', 53.2909652496661, 21.408374646011506, 8.58584620270562, 'Oxford', 'E07000178', 151906)\n",
      "(178, 'E06000050', 55.871812786549796, 22.969320681791256, 9.23132511740723, 'Cheshire West and Chester', 'E06000050', 329608)\n",
      "(179, 'E07000211', 52.0325750216998, 21.16495512008042, 8.525117487534478, 'Reigate and Banstead', 'E07000211', 137835)\n",
      "(180, 'E07000120', 51.2902717667756, 20.85501846878928, 8.29131902972285, 'Hyndburn', 'E07000120', 80734)\n",
      "(181, 'E07000239', 51.814094408341504, 21.153077613649224, 8.36571727402239, 'Wyre Forest', 'E07000239', 97975)\n",
      "(182, 'E07000171', 52.188956190156404, 21.114965917214242, 8.42579254941991, 'Bassetlaw', 'E07000171', 112863)\n",
      "(183, 'E08000034', 57.455517944563, 24.10796250090819, 9.55566293582541, 'Kirklees', 'E08000034', 422458)\n",
      "(184, 'E06000043', 54.965276902882394, 22.44876337189315, 9.028055154072419, 'Brighton and Hove', 'E06000043', 273369)\n",
      "(185, 'E07000129', 51.8210733893385, 20.81459379181241, 8.36066777270059, 'Blaby', 'E07000129', 93915)\n",
      "(186, 'E07000052', 51.71933639089409, 21.003926506628634, 8.36969494223444, 'West Dorset', 'E07000052', 99264)\n",
      "(187, 'E07000101', 51.709225694144095, 20.733028010562915, 8.317833097901518, 'Stevenage', 'E07000101', 83957)\n",
      "(188, 'E07000234', 51.5691244268361, 20.816507564619492, 8.331520358431481, 'Bromsgrove', 'E07000234', 93637)\n",
      "(189, 'E07000153', 51.69388290638739, 20.869487295091105, 8.335143032097559, 'Kettering', 'E07000153', 93475)\n",
      "(190, 'E06000003', 52.2383713982975, 21.1551301472372, 8.50950148766798, 'Redcar and Cleveland', 'E06000003', 135177)\n",
      "(191, 'E06000054', 57.912725727189695, 24.336526723722876, 9.73961228556398, 'Wiltshire', 'E06000054', 470981)\n",
      "(192, 'E07000076', 53.2602157182327, 21.294858011761615, 8.50851098390565, 'Tendring', 'E07000076', 138048)\n",
      "(193, 'E07000150', 50.97748875656159, 20.443365429764178, 8.22980627588122, 'Corby', 'E07000150', 61255)\n",
      "(194, 'E07000218', 51.0946427183202, 20.651937458001825, 8.220651764283621, 'North Warwickshire', 'E07000218', 62014)\n",
      "(195, 'E06000009', 52.4049447337432, 21.11712281722577, 8.544395527024681, 'Blackpool', 'E06000009', 142065)\n",
      "(196, 'E07000091', 53.2655358339257, 21.631964397055505, 8.684208165203799, 'New Forest', 'E07000091', 176462)\n",
      "(197, 'E06000037', 53.2459349222808, 21.674183095682174, 8.57896456238586, 'West Berkshire', 'E06000037', 153822)\n",
      "(198, 'E06000008', 52.433085785570206, 21.556528215124285, 8.568043522748642, 'Blackburn with Darwen', 'E06000008', 147489)\n",
      "(199, 'E07000136', 51.298255322557395, 20.683349917690443, 8.21952588380426, 'Boston', 'E07000136', 64637)\n",
      "(200, 'E06000031', 53.6575003806334, 21.77714584883209, 8.68203102883634, 'Peterborough', 'E06000031', 183631)\n",
      "(201, 'E07000220', 52.1734176041898, 20.96435683418015, 8.374476703338482, 'Rugby', 'E07000220', 100075)\n",
      "(202, 'E07000225', 52.399051296978406, 21.10258393219948, 8.46196074909304, 'Chichester', 'E07000225', 113794)\n",
      "(203, 'E06000023', 57.8055515776183, 24.23195811722917, 9.56319118679849, 'Bristol, City of', 'E06000023', 428234)\n",
      "(204, 'E07000152', 51.3048105270675, 20.978565448793482, 8.34289400494958, 'East Northamptonshire', 'E07000152', 86765)\n",
      "(205, 'E07000223', 50.9236240990534, 20.453398977533613, 8.241652932074448, 'Adur', 'E07000223', 61182)\n",
      "(206, 'E07000051', 50.481485190621406, 20.484920187181974, 8.15268488628444, 'Purbeck', 'E07000051', 44973)\n",
      "(207, 'E09000015', 55.0371913043087, 22.33048599162857, 8.88919579854976, 'Harrow', 'E09000015', 239056)\n",
      "(208, 'E09000011', 54.39228893107049, 22.227846834393226, 8.96113130732279, 'Greenwich', 'E09000011', 254557)\n",
      "(209, 'E07000086', 51.813240829239106, 21.29727327599641, 8.485721931840821, 'Eastleigh', 'E07000086', 125199)\n",
      "(210, 'E07000031', 52.307466383194296, 21.099158811548204, 8.3981740840636, 'South Lakeland', 'E07000031', 103658)\n",
      "(211, 'E07000047', 50.9692569629716, 20.472992384709062, 8.18506630549269, 'West Devon', 'E07000047', 53553)\n",
      "(212, 'E07000089', 51.7256758209224, 20.956937559256286, 8.33978916634166, 'Hart', 'E07000089', 91033)\n",
      "(213, 'E08000033', 53.9885007090217, 22.32947377330281, 8.77115016236269, 'Calderdale', 'E08000033', 203826)\n",
      "(214, 'E07000072', 51.7909480161742, 21.235053062620576, 8.461586843575601, 'Epping Forest', 'E07000072', 124659)\n",
      "(215, 'E09000009', 55.85643704554231, 23.310283912547106, 9.25304725796172, 'Ealing', 'E09000009', 338449)\n",
      "(216, 'E06000038', 53.1767561083857, 21.321161201383628, 8.574166342995241, 'Reading', 'E06000038', 155698)\n",
      "(217, 'E06000016', 55.8855231074147, 23.219731324364453, 9.224609643322081, 'Leicester', 'E06000016', 329839)\n",
      "(218, 'E07000215', 52.095280772114506, 20.776599110915967, 8.29886919422773, 'Tandridge', 'E07000215', 82998)\n",
      "(219, 'E07000049', 51.9365699885901, 21.020585798184996, 8.32363804815783, 'East Dorset', 'E07000049', 87166)\n",
      "(220, 'E06000025', 54.996402784412595, 22.20712873101223, 8.9884484454183, 'South Gloucestershire', 'E06000025', 262767)\n",
      "(221, 'E07000046', 50.81485243708109, 20.68050871686504, 8.225427829710181, 'Torridge', 'E07000046', 63839)\n",
      "(222, 'E07000006', 50.956835388539, 20.799216461297053, 8.25059768465297, 'South Bucks', 'E07000006', 66867)\n",
      "(223, 'E07000048', 50.4477179520419, 20.50419502445675, 8.16682968735288, 'Christchurch', 'E07000048', 47752)\n",
      "(224, 'E09000017', 55.5597161874816, 22.465377123506798, 9.004515147966362, 'Hillingdon', 'E09000017', 273936)\n",
      "(225, 'E07000011', 53.317821410195606, 21.73495550144485, 8.63166515937775, 'Huntingdonshire', 'E07000011', 169508)\n",
      "(226, 'E08000014', 55.4257930520878, 22.729993373833718, 9.004729106282051, 'Sefton', 'E08000014', 273790)\n",
      "(227, 'E07000202', 52.8182896250706, 21.31481162947924, 8.47630007709409, 'Ipswich', 'E07000202', 133384)\n",
      "(228, 'E08000025', 70.192955472856, 29.853411162269303, 11.99944754181954, 'Birmingham', 'E08000025', 1073045)\n",
      "(229, 'E07000145', 52.112795346793696, 21.17421467754506, 8.38644513164324, 'Great Yarmouth', 'E07000145', 97277)\n",
      "(230, 'E07000053', 51.6855407467707, 20.727525753625414, 8.24436493085474, 'Weymouth and Portland', 'E07000053', 65167)\n",
      "(231, 'E07000085', 51.9085444599703, 21.094499057664862, 8.429605695870091, 'East Hampshire', 'E07000085', 115608)\n",
      "(232, 'E06000045', 53.8946393095709, 22.458596622808727, 8.85619030558592, 'Southampton', 'E06000045', 236882)\n",
      "(233, 'E09000029', 53.16655778590489, 21.672268737028364, 8.69822155104117, 'Sutton', 'E09000029', 190146)\n",
      "(234, 'E07000212', 51.3897069269938, 20.828279590307808, 8.30210950579741, 'Runnymede', 'E07000212', 80510)\n",
      "(235, 'E08000026', 55.33953081981711, 22.91544887547234, 9.18247573071769, 'Coventry', 'E08000026', 316960)\n",
      "(236, 'E07000204', 52.1827376460776, 21.295640041941528, 8.39319024987129, 'St Edmundsbury', 'E07000204', 111008)\n",
      "(237, 'E07000210', 51.5731433806701, 20.958797296510113, 8.289297350153468, 'Mole Valley', 'E07000210', 85375)\n",
      "(238, 'E07000027', 51.2556188743105, 20.82383457815575, 8.27481993697213, 'Barrow-in-Furness', 'E07000027', 69087)\n",
      "(239, 'E07000094', 52.23640890425111, 21.220158212642477, 8.43251318719258, 'Winchester', 'E07000094', 116595)\n",
      "(240, 'E07000236', 51.9131424295677, 20.905598861456806, 8.30189359716736, 'Redditch', 'E07000236', 84214)\n",
      "(241, 'E06000051', 56.185583418256996, 23.063267926207246, 9.15222304231197, 'Shropshire', 'E06000051', 306129)\n",
      "(242, 'E09000013', 52.876060008645396, 21.789023662272893, 8.66699324789426, 'Hammersmith and Fulham', 'E09000013', 182493)\n",
      "(243, 'E07000080', 51.5144385370686, 21.11827594513986, 8.3060845377751, 'Forest of Dean', 'E07000080', 81961)\n",
      "(244, 'E08000018', 55.638746657715096, 22.32884047109436, 8.92559496847187, 'Rotherham', 'E08000018', 257280)\n",
      "(245, 'E09000026', 54.93900145098441, 22.684369365823034, 9.061575907134811, 'Redbridge', 'E09000026', 278970)\n",
      "(246, 'E09000020', 52.3346501174441, 21.605963538398303, 8.5641161784796, 'Kensington and Chelsea', 'E09000020', 158649)\n",
      "(247, 'E07000134', 51.51500089937161, 21.03644741985749, 8.35064749132903, 'North West Leicestershire', 'E07000134', 93468)\n",
      "(248, 'E06000019', 53.0696202189502, 21.92887566102275, 8.66201895022416, 'Herefordshire, County of', 'E06000019', 183477)\n",
      "(249, 'E07000005', 51.6078976804824, 20.853906292158225, 8.33784750483809, 'Chiltern', 'E07000005', 92635)\n",
      "(250, 'E07000009', 51.6156768019388, 20.76273062756441, 8.312888221079469, 'East Cambridgeshire', 'E07000009', 83818)\n",
      "(251, 'E07000090', 51.987379970009506, 21.164836682408897, 8.48271811127709, 'Havant', 'E07000090', 120684)\n",
      "(252, 'E06000022', 53.60353016787781, 21.8847155497614, 8.63837469516142, 'Bath and North East Somerset', 'E06000022', 176016)\n",
      "(253, 'E07000041', 52.0495494876749, 20.957475389674553, 8.431877392984708, 'Exeter', 'E07000041', 117773)\n",
      "(254, 'E07000109', 51.52636748795027, 21.145699462569876, 8.393280129124902, 'Gravesham', 'E07000109', 101720)\n",
      "(255, 'E07000203', 51.06801495723669, 21.073475691476656, 8.351745344440449, 'Mid Suffolk', 'E07000203', 96731)\n",
      "(256, 'E07000206', 51.8164413140556, 21.552996523408343, 8.437794793961869, 'Waveney', 'E07000206', 115254)\n",
      "(257, 'E07000036', 51.8060282772445, 21.15981993486671, 8.430821714940361, 'Erewash', 'E07000036', 112081)\n",
      "(258, 'E07000219', 51.8745831710538, 21.29061634249251, 8.46830526236635, 'Nuneaton and Bedworth', 'E07000219', 125252)\n",
      "(259, 'E07000214', 51.0588890023242, 20.918549124271475, 8.32039457580668, 'Surrey Heath', 'E07000214', 86144)\n",
      "(260, 'E06000015', 54.9344775267474, 22.387066658573765, 8.95783448218356, 'Derby', 'E06000015', 248752)\n",
      "(261, 'E06000002', 52.9558023070042, 21.137764293352145, 8.50671227816364, 'Middlesbrough', 'E06000002', 138412)\n",
      "(262, 'E06000005', 51.8469096774203, 20.96553536729518, 8.36329559866553, 'Darlington', 'E06000005', 105564)\n",
      "(263, 'E07000028', 52.2764717109813, 20.987440922853988, 8.375227420926311, 'Carlisle', 'E07000028', 107524)\n",
      "(264, 'E06000046', 52.9963296217928, 21.318728840579144, 8.468170802066162, 'Isle of Wight', 'E06000046', 138265)\n",
      "(265, 'E07000190', 51.8089861243322, 21.048001854791917, 8.418205239494652, 'Taunton Deane', 'E07000190', 110187)\n",
      "(266, 'E07000096', 53.1685631333376, 21.355440255772113, 8.50291150012684, 'Dacorum', 'E07000096', 144847)\n",
      "(267, 'E06000034', 52.930183418689204, 21.42773919779675, 8.599693731773499, 'Thurrock', 'E06000034', 157705)\n",
      "(268, 'E07000078', 52.622305858751105, 21.223193620665732, 8.408250424462091, 'Cheltenham', 'E07000078', 115732)\n",
      "(269, 'E06000013', 52.55973363361971, 21.76250809646988, 8.612477370740761, 'North Lincolnshire', 'E06000013', 167446)\n",
      "(270, 'E06000001', 51.8339553076437, 20.876585097356596, 8.3246606232066, 'Hartlepool', 'E06000001', 92028)\n",
      "(271, 'E08000019', 60.3527729363433, 25.06884686935017, 10.05267453452804, 'Sheffield', 'E08000019', 552698)\n",
      "(272, 'E07000130', 53.4355470839256, 21.683152043358916, 8.605938857316131, 'Charnwood', 'E07000130', 166100)\n",
      "(273, 'E07000205', 52.4812316202441, 21.00007359467283, 8.45812082812215, 'Suffolk Coastal', 'E07000205', 124298)\n",
      "(274, 'E06000052', 59.7421310649541, 25.161968368216456, 9.9636468106633, 'Cornwall', 'E06000052', 532273)\n",
      "(275, 'E07000226', 52.024778570550595, 21.0375766191903, 8.40732442493297, 'Crawley', 'E07000226', 106597)\n",
      "(276, 'E07000163', 51.3266340455634, 20.65580288354701, 8.227296628706322, 'Craven', 'E07000163', 55409)\n",
      "(277, 'E09000018', 54.1480770933496, 22.589703880986534, 8.933798854366241, 'Hounslow', 'E09000018', 253957)\n",
      "(278, 'E08000017', 55.2097769171431, 22.81156438505306, 9.12418487261532, 'Doncaster', 'E08000017', 302402)\n",
      "(279, 'E09000014', 53.68085773299919, 22.44638822021055, 8.94097087676786, 'Haringey', 'E09000014', 254926)\n",
      "(280, 'E07000208', 51.3520868340587, 20.927548710851283, 8.27938025331297, 'Epsom and Ewell', 'E07000208', 75102)\n",
      "(281, 'E07000216', 52.7029240042503, 20.98557458620166, 8.4613463850854, 'Waverley', 'E07000216', 121572)\n",
      "(282, 'E06000053', 50.0849656718719, 20.35860619982739, 8.00433373382757, 'Isles of Scilly', 'E06000053', 2203)\n",
      "(283, 'E09000005', 55.761821542934605, 23.03698915656164, 9.15830600890752, 'Brent', 'E09000005', 311215)\n",
      "(284, 'E07000066', 53.022440659206794, 21.81239242291401, 8.63953174327289, 'Basildon', 'E07000066', 174497)\n",
      "(285, 'E07000064', 51.67121040418879, 20.886653554342963, 8.30893761645623, 'Rother', 'E07000064', 90588)\n",
      "(286, 'E07000063', 51.4354488803216, 20.787430500546684, 8.37808221583084, 'Lewes', 'E07000063', 97502)\n",
      "(287, 'E07000166', 51.369915103760704, 20.823427500250197, 8.188386625991928, 'Richmondshire', 'E07000166', 51965)\n",
      "(288, 'E07000067', 53.099154992179, 21.305670153493956, 8.534317756452541, 'Braintree', 'E07000067', 147084)\n",
      "(289, 'E07000122', 52.232848915644006, 20.966287498205002, 8.312183426673581, 'Pendle', 'E07000122', 89452)\n",
      "(290, 'E07000075', 52.253157801785406, 21.235538605208973, 8.330262907258781, 'Rochford', 'E07000075', 83287)\n",
      "(291, 'E09000024', 53.5525667922731, 21.89751392178218, 8.748254260945581, 'Merton', 'E09000024', 199693)\n",
      "(292, 'E07000106', 52.17694412073379, 21.50880972162739, 8.545083966039329, 'Canterbury', 'E07000106', 151145)\n",
      "(293, 'E07000187', 51.937527087937504, 21.127505336100004, 8.40578462153063, 'Mendip', 'E07000187', 109279)\n",
      "(294, 'E09000033', 54.40596344394459, 22.08615223733005, 8.82606155768626, 'Westminster', 'E09000033', 219396)\n",
      "(295, 'E09000012', 54.84347821636719, 22.419288940226192, 8.93088460929754, 'Hackney', 'E09000012', 246270)\n",
      "(296, 'E07000167', 50.988508375239604, 20.679318301492437, 8.17324911628141, 'Ryedale', 'E07000167', 51751)\n",
      "(297, 'E07000102', 51.69238441694849, 21.024850868025272, 8.33395326576267, 'Three Rivers', 'E07000102', 87317)\n",
      "(298, 'E07000179', 52.2127111192521, 21.47151065032433, 8.490217800784691, 'South Oxfordshire', 'E07000179', 134257)\n",
      "(299, 'E08000028', 56.0559539607165, 22.923646029822716, 9.136450400946188, 'Sandwell', 'E08000028', 308063)\n",
      "(300, 'E07000155', 51.922811791541406, 20.93958799696477, 8.30620694728963, 'South Northamptonshire', 'E07000155', 85189)\n",
      "(301, 'E07000034', 51.4203714181406, 21.033130267892673, 8.37459090895486, 'Chesterfield', 'E07000034', 103788)\n",
      "(302, 'E09000001', 49.38476850402421, 20.16531188170513, 8.0472275404587, 'City of London', 'E09000001', 7375)\n",
      "(303, 'E07000235', 50.9006674629557, 20.642734120737753, 8.274659908303162, 'Malvern Hills', 'E07000235', 74631)\n",
      "(304, 'E06000017', 50.9924358034027, 20.572656372260763, 8.153301424197, 'Rutland', 'E06000017', 37369)\n",
      "(305, 'E06000042', 55.127852279677796, 22.317476483866187, 8.91109749319255, 'Milton Keynes', 'E06000042', 248821)\n",
      "(306, 'E07000195', 52.1211229874592, 21.434732018830214, 8.464317584142961, 'Newcastle-under-Lyme', 'E07000195', 123871)\n",
      "(307, 'E07000050', 50.6564025589002, 20.861706872109455, 8.25949451386806, 'North Dorset', 'E07000050', 68583)\n",
      "(308, 'E07000077', 51.0398912313115, 20.84334908466497, 8.2981956871702, 'Uttlesford', 'E07000077', 79443)\n",
      "(309, 'E07000069', 51.74515180762641, 20.938546455474686, 8.334154723558461, 'Castle Point', 'E07000069', 88011)\n",
      "(310, 'E07000172', 51.6695335095701, 21.060715375534112, 8.395685994451949, 'Broxtowe', 'E07000172', 109487)\n",
      "(311, 'E07000037', 51.619115459537596, 20.868992743772242, 8.36881978467545, 'High Peak', 'E07000037', 90892)\n",
      "(312, 'E07000154', 53.96554977907321, 22.08303231950311, 8.79375960889097, 'Northampton', 'E07000154', 212069)\n",
      "(313, 'E09000003', 56.556139885583704, 23.60179328083806, 9.31893872715073, 'Barnet', 'E09000003', 356386)\n",
      "(314, 'E06000047', 59.6228836118797, 24.811589535061334, 9.937218789071428, 'County Durham', 'E06000047', 513242)\n",
      "(315, 'E06000011', 56.2167899144797, 23.221641766323998, 9.234425008488381, 'East Riding of Yorkshire', 'E06000011', 334179)\n",
      "(316, 'E07000217', 51.8981009546733, 21.124001578663684, 8.36420221025358, 'Woking', 'E07000217', 99198)\n",
      "(317, 'E07000181', 52.5109504895032, 21.09571423114827, 8.365475786529439, 'West Oxfordshire', 'E07000181', 104779)\n",
      "(318, 'E07000238', 52.197306022848196, 21.37190796833235, 8.41987612247303, 'Wychavon', 'E07000238', 116944)\n",
      "(319, 'E06000020', 52.311067204712806, 21.65040411893274, 8.6161707141021, 'Telford and Wrekin', 'E06000020', 166641)\n",
      "(320, 'E07000180', 52.4596730888355, 21.297513685602727, 8.44420195828997, 'Vale of White Horse', 'E07000180', 120988)\n",
      "(321, 'E07000119', 51.5282921777432, 20.671098089464664, 8.30754188095559, 'Fylde', 'E07000119', 75757)\n",
      "(322, 'E07000170', 52.03250849542461, 21.270160890595697, 8.437593470745329, 'Ashfield', 'E07000170', 119497)\n",
      "(323, 'E09000027', 53.47311448895341, 21.677563950633953, 8.71821072940697, 'Richmond upon Thames', 'E09000027', 186990)\n",
      "(324, 'E07000079', 51.652824041416494, 21.01470981403671, 8.33408036731255, 'Cotswold', 'E07000079', 82881)\n",
      "(325, 'E07000103', 51.893510244331495, 21.09491095881714, 8.361627559063741, 'Watford', 'E07000103', 90301)\n"
     ]
    }
   ],
   "source": [
    "with open('new_table.csv', 'a') as f:\n",
    "    rd = csv.writer(f)\n",
    "    rd.writerow(('index', ''))\n",
    "    for i in cur:\n",
    "        print(i)\n",
    "        rd.writerow(i)\n",
    "f.close()"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}