Sample_Power_vs_Height.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import folium\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from scipy import constants as ct\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import FormatStrFormatter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=pd.read_csv(r\"C:\\Users\\Kartik\\Desktop\\RFI SPACE\\aus full samp.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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 Served</th>\n",
       "      <th>Callsign</th>\n",
       "      <th>Frequency(MHz)</th>\n",
       "      <th>Purpose</th>\n",
       "      <th>Polarisation</th>\n",
       "      <th>Antenna Height (m)</th>\n",
       "      <th>Antenna Pattern</th>\n",
       "      <th>Maximum ERP (W)</th>\n",
       "      <th>Technical Specification Number</th>\n",
       "      <th>Licence Number</th>\n",
       "      <th>...</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Unnamed: 13</th>\n",
       "      <th>Unnamed: 14</th>\n",
       "      <th>Unnamed: 15</th>\n",
       "      <th>Long</th>\n",
       "      <th>Unnamed: 17</th>\n",
       "      <th>Unnamed: 18</th>\n",
       "      <th>Unnamed: 19</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adelaide</td>\n",
       "      <td>5ADL</td>\n",
       "      <td>91.9</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>M</td>\n",
       "      <td>60</td>\n",
       "      <td>DA</td>\n",
       "      <td>20000</td>\n",
       "      <td>10010794</td>\n",
       "      <td>1170890</td>\n",
       "      <td>...</td>\n",
       "      <td>34</td>\n",
       "      <td>58</td>\n",
       "      <td>44</td>\n",
       "      <td>NaN</td>\n",
       "      <td>138</td>\n",
       "      <td>42</td>\n",
       "      <td>31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.978889</td>\n",
       "      <td>138.708611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adelaide</td>\n",
       "      <td>5FBI</td>\n",
       "      <td>92.7</td>\n",
       "      <td>Community</td>\n",
       "      <td>M</td>\n",
       "      <td>45</td>\n",
       "      <td>DA</td>\n",
       "      <td>20000</td>\n",
       "      <td>3371001</td>\n",
       "      <td>1170715</td>\n",
       "      <td>...</td>\n",
       "      <td>34</td>\n",
       "      <td>58</td>\n",
       "      <td>48</td>\n",
       "      <td>NaN</td>\n",
       "      <td>138</td>\n",
       "      <td>42</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.980000</td>\n",
       "      <td>138.707778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Adelaide</td>\n",
       "      <td>5DDD</td>\n",
       "      <td>93.7</td>\n",
       "      <td>Community</td>\n",
       "      <td>M</td>\n",
       "      <td>45</td>\n",
       "      <td>OD</td>\n",
       "      <td>6300</td>\n",
       "      <td>3076001</td>\n",
       "      <td>1385198</td>\n",
       "      <td>...</td>\n",
       "      <td>34</td>\n",
       "      <td>58</td>\n",
       "      <td>48</td>\n",
       "      <td>NaN</td>\n",
       "      <td>138</td>\n",
       "      <td>42</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.980000</td>\n",
       "      <td>138.707778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Adelaide</td>\n",
       "      <td>5UV</td>\n",
       "      <td>101.5</td>\n",
       "      <td>Community</td>\n",
       "      <td>M</td>\n",
       "      <td>60</td>\n",
       "      <td>DA</td>\n",
       "      <td>20000</td>\n",
       "      <td>6457001</td>\n",
       "      <td>1156865</td>\n",
       "      <td>...</td>\n",
       "      <td>34</td>\n",
       "      <td>58</td>\n",
       "      <td>44</td>\n",
       "      <td>NaN</td>\n",
       "      <td>138</td>\n",
       "      <td>42</td>\n",
       "      <td>31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.978889</td>\n",
       "      <td>138.708611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Adelaide</td>\n",
       "      <td>5ADD</td>\n",
       "      <td>102.3</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>M</td>\n",
       "      <td>60</td>\n",
       "      <td>DA</td>\n",
       "      <td>20000</td>\n",
       "      <td>4191001</td>\n",
       "      <td>1911525</td>\n",
       "      <td>...</td>\n",
       "      <td>34</td>\n",
       "      <td>58</td>\n",
       "      <td>57</td>\n",
       "      <td>NaN</td>\n",
       "      <td>138</td>\n",
       "      <td>42</td>\n",
       "      <td>30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.982500</td>\n",
       "      <td>138.708333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Area Served Callsign  Frequency(MHz)     Purpose Polarisation  \\\n",
       "0    Adelaide     5ADL            91.9  Commercial            M   \n",
       "1    Adelaide     5FBI            92.7   Community            M   \n",
       "2    Adelaide     5DDD            93.7   Community            M   \n",
       "3    Adelaide      5UV           101.5   Community            M   \n",
       "4    Adelaide     5ADD           102.3  Commercial            M   \n",
       "\n",
       "   Antenna Height (m) Antenna Pattern  Maximum ERP (W)  \\\n",
       "0                  60              DA            20000   \n",
       "1                  45              DA            20000   \n",
       "2                  45              OD             6300   \n",
       "3                  60              DA            20000   \n",
       "4                  60              DA            20000   \n",
       "\n",
       "   Technical Specification Number  Licence Number  ...  Lat Unnamed: 13  \\\n",
       "0                        10010794         1170890  ...   34          58   \n",
       "1                         3371001         1170715  ...   34          58   \n",
       "2                         3076001         1385198  ...   34          58   \n",
       "3                         6457001         1156865  ...   34          58   \n",
       "4                         4191001         1911525  ...   34          58   \n",
       "\n",
       "   Unnamed: 14  Unnamed: 15  Long  Unnamed: 17  Unnamed: 18  Unnamed: 19  \\\n",
       "0           44          NaN   138           42           31          NaN   \n",
       "1           48          NaN   138           42           28          NaN   \n",
       "2           48          NaN   138           42           28          NaN   \n",
       "3           44          NaN   138           42           31          NaN   \n",
       "4           57          NaN   138           42           30          NaN   \n",
       "\n",
       "    LATITUDE   LONGITUDE  \n",
       "0  34.978889  138.708611  \n",
       "1  34.980000  138.707778  \n",
       "2  34.980000  138.707778  \n",
       "3  34.978889  138.708611  \n",
       "4  34.982500  138.708333  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "data['LATITUDE']= data['LATITUDE']*-1\n",
    "\n",
    "\"\"\"Setting up Folium Map\"\"\"\n",
    "map = folium.Map(location=[-25.274398, 133.775136],zoom_start=4)\n",
    "\n",
    "\n",
    "for i in range(0,len(data)):\n",
    "     folium.Marker([data.iloc[i]['LATITUDE'], data.iloc[i]['LONGITUDE']]).add_to(map)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\" Converting ERP to EIRP in KW \"\"\"\n",
    "\n",
    "data['EIRP']=( 1.64 * data['Maximum ERP (W)'] ) /1000        \n",
    "\n",
    "''' creating 10 evenly placed log scale between 400-36000km   '''\n",
    "\n",
    "r=np.logspace(np.log10(400),np.log10(36000),10)       \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[6.94407450e+10 6.82473709e+10 2.10415034e+10 ... 5.62592463e+08\n",
      "  1.05783674e+09 7.32148747e+07]\n",
      " [4.21188316e+10 4.13949983e+10 1.27625868e+10 ... 3.41236794e+08\n",
      "  6.41623986e+08 4.44080054e+07]\n",
      " [2.55469030e+10 2.51078666e+10 7.74106391e+09 ... 2.06974955e+08\n",
      "  3.89172850e+08 2.69353864e+07]\n",
      " ...\n",
      " [2.09723924e+09 2.06119713e+09 6.35492413e+08 ... 1.69913354e+07\n",
      "  3.19486308e+07 2.21122496e+06]\n",
      " [1.27206680e+09 1.25020570e+09 3.85453784e+08 ... 1.03059838e+07\n",
      "  1.93782339e+07 1.34120409e+06]\n",
      " [7.71563833e+08 7.58304122e+08 2.33794482e+08 ... 6.25102737e+06\n",
      "  1.17537416e+07 8.13498608e+05]]\n"
     ]
    }
   ],
   "source": [
    "\"\"\"Calculating Power received at various heights stored in r using friss equation\"\"\"\n",
    "pr=np.zeros((10,len(data)))\n",
    "for j in range(0,len(r)):\n",
    "    for i in range(0,len(data)):\n",
    "        pr[j][i]=  (data.iloc[i]['EIRP']) *(ct.c*ct.c) / (4*np.pi *r[j] * (data.iloc[i]['Frequency(MHz)'] )**2 ) \n",
    "    \n",
    "          \n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\"Storing the data and adding it to the database\"\"\"\n",
    "data['Power at 400km']= pr[0]\n",
    "data['Power at 659.47km']= pr[1]\n",
    "data['Power at 1087.26km']= pr[2]\n",
    "data['Power at 1792.56km']= pr[3]\n",
    "data['Power at 2955.37km']= pr[4]\n",
    "data['Power at 4872.48km']= pr[5]\n",
    "data['Power at 8033.19km']= pr[6]\n",
    "data['Power at 13244.22km']= pr[7]\n",
    "data['Power at 21835.56km']= pr[8]\n",
    "data['Power at 36000km']= pr[9]\n",
    "\n",
    "data.to_csv(\"Au with power.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "' After transpose each column is the power radiated of an inidividual fm site at various height'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "P=np.transpose(pr)\n",
    "\"\"\" After transpose each column is the power radiated of an inidividual fm site at various height\"\"\"\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "plt.xlabel('Height ', color='red',size=20)\n",
    "plt.gca().xaxis.set_major_formatter(FormatStrFormatter('%d km'))\n",
    "\n",
    "plt.ylabel('Power at various height in KW', color='red', size=20)\n",
    "x=r\n",
    "for i in range(0,len(data)):\n",
    "  plt.plot(x,P[i])\n",
    "  plt.scatter(x,P[i])\n",
    "plt.show() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "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 Served</th>\n",
       "      <th>Callsign</th>\n",
       "      <th>Frequency(MHz)</th>\n",
       "      <th>Purpose</th>\n",
       "      <th>Polarisation</th>\n",
       "      <th>Antenna Height (m)</th>\n",
       "      <th>Antenna Pattern</th>\n",
       "      <th>Maximum ERP (W)</th>\n",
       "      <th>Technical Specification Number</th>\n",
       "      <th>Licence Number</th>\n",
       "      <th>...</th>\n",
       "      <th>Power at 400km</th>\n",
       "      <th>Power at 659.47km</th>\n",
       "      <th>Power at 1087.26km</th>\n",
       "      <th>Power at 1792.56km</th>\n",
       "      <th>Power at 2955.37km</th>\n",
       "      <th>Power at 4872.48km</th>\n",
       "      <th>Power at 8033.19km</th>\n",
       "      <th>Power at 13244.22km</th>\n",
       "      <th>Power at 21835.56km</th>\n",
       "      <th>Power at 36000km</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adelaide</td>\n",
       "      <td>5ADL</td>\n",
       "      <td>91.9</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>M</td>\n",
       "      <td>60</td>\n",
       "      <td>DA</td>\n",
       "      <td>20000</td>\n",
       "      <td>10010794</td>\n",
       "      <td>1170890</td>\n",
       "      <td>...</td>\n",
       "      <td>6.944074e+10</td>\n",
       "      <td>4.211883e+10</td>\n",
       "      <td>2.554690e+10</td>\n",
       "      <td>1.549531e+10</td>\n",
       "      <td>9.398578e+09</td>\n",
       "      <td>5.700646e+09</td>\n",
       "      <td>3.457690e+09</td>\n",
       "      <td>2.097239e+09</td>\n",
       "      <td>1.272067e+09</td>\n",
       "      <td>7.715638e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adelaide</td>\n",
       "      <td>5FBI</td>\n",
       "      <td>92.7</td>\n",
       "      <td>Community</td>\n",
       "      <td>M</td>\n",
       "      <td>45</td>\n",
       "      <td>DA</td>\n",
       "      <td>20000</td>\n",
       "      <td>3371001</td>\n",
       "      <td>1170715</td>\n",
       "      <td>...</td>\n",
       "      <td>6.824737e+10</td>\n",
       "      <td>4.139500e+10</td>\n",
       "      <td>2.510787e+10</td>\n",
       "      <td>1.522901e+10</td>\n",
       "      <td>9.237059e+09</td>\n",
       "      <td>5.602678e+09</td>\n",
       "      <td>3.398268e+09</td>\n",
       "      <td>2.061197e+09</td>\n",
       "      <td>1.250206e+09</td>\n",
       "      <td>7.583041e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Adelaide</td>\n",
       "      <td>5DDD</td>\n",
       "      <td>93.7</td>\n",
       "      <td>Community</td>\n",
       "      <td>M</td>\n",
       "      <td>45</td>\n",
       "      <td>OD</td>\n",
       "      <td>6300</td>\n",
       "      <td>3076001</td>\n",
       "      <td>1385198</td>\n",
       "      <td>...</td>\n",
       "      <td>2.104150e+10</td>\n",
       "      <td>1.276259e+10</td>\n",
       "      <td>7.741064e+09</td>\n",
       "      <td>4.695292e+09</td>\n",
       "      <td>2.847899e+09</td>\n",
       "      <td>1.727374e+09</td>\n",
       "      <td>1.047728e+09</td>\n",
       "      <td>6.354924e+08</td>\n",
       "      <td>3.854538e+08</td>\n",
       "      <td>2.337945e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Adelaide</td>\n",
       "      <td>5UV</td>\n",
       "      <td>101.5</td>\n",
       "      <td>Community</td>\n",
       "      <td>M</td>\n",
       "      <td>60</td>\n",
       "      <td>DA</td>\n",
       "      <td>20000</td>\n",
       "      <td>6457001</td>\n",
       "      <td>1156865</td>\n",
       "      <td>...</td>\n",
       "      <td>5.692635e+10</td>\n",
       "      <td>3.452830e+10</td>\n",
       "      <td>2.094292e+10</td>\n",
       "      <td>1.270279e+10</td>\n",
       "      <td>7.704795e+09</td>\n",
       "      <td>4.673293e+09</td>\n",
       "      <td>2.834556e+09</td>\n",
       "      <td>1.719281e+09</td>\n",
       "      <td>1.042819e+09</td>\n",
       "      <td>6.325150e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Adelaide</td>\n",
       "      <td>5ADD</td>\n",
       "      <td>102.3</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>M</td>\n",
       "      <td>60</td>\n",
       "      <td>DA</td>\n",
       "      <td>20000</td>\n",
       "      <td>4191001</td>\n",
       "      <td>1911525</td>\n",
       "      <td>...</td>\n",
       "      <td>5.603948e+10</td>\n",
       "      <td>3.399038e+10</td>\n",
       "      <td>2.061665e+10</td>\n",
       "      <td>1.250489e+10</td>\n",
       "      <td>7.584761e+09</td>\n",
       "      <td>4.600487e+09</td>\n",
       "      <td>2.790396e+09</td>\n",
       "      <td>1.692496e+09</td>\n",
       "      <td>1.026573e+09</td>\n",
       "      <td>6.226609e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2633</th>\n",
       "      <td>Yulara</td>\n",
       "      <td>8ABCRR</td>\n",
       "      <td>99.7</td>\n",
       "      <td>Retransmission</td>\n",
       "      <td>V</td>\n",
       "      <td>17</td>\n",
       "      <td>OD</td>\n",
       "      <td>320</td>\n",
       "      <td>1777010</td>\n",
       "      <td>1153878</td>\n",
       "      <td>...</td>\n",
       "      <td>9.440067e+08</td>\n",
       "      <td>5.725811e+08</td>\n",
       "      <td>3.472953e+08</td>\n",
       "      <td>2.106497e+08</td>\n",
       "      <td>1.277682e+08</td>\n",
       "      <td>7.749698e+07</td>\n",
       "      <td>4.700529e+07</td>\n",
       "      <td>2.851075e+07</td>\n",
       "      <td>1.729301e+07</td>\n",
       "      <td>1.048896e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2634</th>\n",
       "      <td>Yulara</td>\n",
       "      <td>8HA</td>\n",
       "      <td>100.5</td>\n",
       "      <td>Retransmission</td>\n",
       "      <td>V</td>\n",
       "      <td>17</td>\n",
       "      <td>OD</td>\n",
       "      <td>320</td>\n",
       "      <td>4225002</td>\n",
       "      <td>1153879</td>\n",
       "      <td>...</td>\n",
       "      <td>9.290375e+08</td>\n",
       "      <td>5.635017e+08</td>\n",
       "      <td>3.417883e+08</td>\n",
       "      <td>2.073094e+08</td>\n",
       "      <td>1.257422e+08</td>\n",
       "      <td>7.626811e+07</td>\n",
       "      <td>4.625992e+07</td>\n",
       "      <td>2.805866e+07</td>\n",
       "      <td>1.701879e+07</td>\n",
       "      <td>1.032264e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2635</th>\n",
       "      <td>Yulara</td>\n",
       "      <td>8KIN</td>\n",
       "      <td>102.1</td>\n",
       "      <td>Retransmission</td>\n",
       "      <td>V</td>\n",
       "      <td>27</td>\n",
       "      <td>OD</td>\n",
       "      <td>200</td>\n",
       "      <td>10007648</td>\n",
       "      <td>1152217</td>\n",
       "      <td>...</td>\n",
       "      <td>5.625925e+08</td>\n",
       "      <td>3.412368e+08</td>\n",
       "      <td>2.069750e+08</td>\n",
       "      <td>1.255393e+08</td>\n",
       "      <td>7.614505e+07</td>\n",
       "      <td>4.618528e+07</td>\n",
       "      <td>2.801338e+07</td>\n",
       "      <td>1.699134e+07</td>\n",
       "      <td>1.030598e+07</td>\n",
       "      <td>6.251027e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2636</th>\n",
       "      <td>Yulara</td>\n",
       "      <td>NaN</td>\n",
       "      <td>105.3</td>\n",
       "      <td>HPON</td>\n",
       "      <td>V</td>\n",
       "      <td>17</td>\n",
       "      <td>OD</td>\n",
       "      <td>400</td>\n",
       "      <td>10004023</td>\n",
       "      <td>1171078</td>\n",
       "      <td>...</td>\n",
       "      <td>1.057837e+09</td>\n",
       "      <td>6.416240e+08</td>\n",
       "      <td>3.891728e+08</td>\n",
       "      <td>2.360503e+08</td>\n",
       "      <td>1.431747e+08</td>\n",
       "      <td>8.684171e+07</td>\n",
       "      <td>5.267327e+07</td>\n",
       "      <td>3.194863e+07</td>\n",
       "      <td>1.937823e+07</td>\n",
       "      <td>1.175374e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2637</th>\n",
       "      <td>Yuleba</td>\n",
       "      <td>NaN</td>\n",
       "      <td>89.5</td>\n",
       "      <td>HPON</td>\n",
       "      <td>V</td>\n",
       "      <td>18</td>\n",
       "      <td>OD</td>\n",
       "      <td>20</td>\n",
       "      <td>10004039</td>\n",
       "      <td>1171077</td>\n",
       "      <td>...</td>\n",
       "      <td>7.321487e+07</td>\n",
       "      <td>4.440801e+07</td>\n",
       "      <td>2.693539e+07</td>\n",
       "      <td>1.633748e+07</td>\n",
       "      <td>9.909394e+06</td>\n",
       "      <td>6.010478e+06</td>\n",
       "      <td>3.645617e+06</td>\n",
       "      <td>2.211225e+06</td>\n",
       "      <td>1.341204e+06</td>\n",
       "      <td>8.134986e+05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2638 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Area Served Callsign  Frequency(MHz)         Purpose Polarisation  \\\n",
       "0       Adelaide     5ADL            91.9      Commercial            M   \n",
       "1       Adelaide     5FBI            92.7       Community            M   \n",
       "2       Adelaide     5DDD            93.7       Community            M   \n",
       "3       Adelaide      5UV           101.5       Community            M   \n",
       "4       Adelaide     5ADD           102.3      Commercial            M   \n",
       "...          ...      ...             ...             ...          ...   \n",
       "2633      Yulara   8ABCRR            99.7  Retransmission            V   \n",
       "2634      Yulara      8HA           100.5  Retransmission            V   \n",
       "2635      Yulara     8KIN           102.1  Retransmission            V   \n",
       "2636      Yulara      NaN           105.3            HPON            V   \n",
       "2637      Yuleba      NaN            89.5            HPON            V   \n",
       "\n",
       "      Antenna Height (m) Antenna Pattern  Maximum ERP (W)  \\\n",
       "0                     60              DA            20000   \n",
       "1                     45              DA            20000   \n",
       "2                     45              OD             6300   \n",
       "3                     60              DA            20000   \n",
       "4                     60              DA            20000   \n",
       "...                  ...             ...              ...   \n",
       "2633                  17              OD              320   \n",
       "2634                  17              OD              320   \n",
       "2635                  27              OD              200   \n",
       "2636                  17              OD              400   \n",
       "2637                  18              OD               20   \n",
       "\n",
       "      Technical Specification Number  Licence Number  ...  Power at 400km  \\\n",
       "0                           10010794         1170890  ...    6.944074e+10   \n",
       "1                            3371001         1170715  ...    6.824737e+10   \n",
       "2                            3076001         1385198  ...    2.104150e+10   \n",
       "3                            6457001         1156865  ...    5.692635e+10   \n",
       "4                            4191001         1911525  ...    5.603948e+10   \n",
       "...                              ...             ...  ...             ...   \n",
       "2633                         1777010         1153878  ...    9.440067e+08   \n",
       "2634                         4225002         1153879  ...    9.290375e+08   \n",
       "2635                        10007648         1152217  ...    5.625925e+08   \n",
       "2636                        10004023         1171078  ...    1.057837e+09   \n",
       "2637                        10004039         1171077  ...    7.321487e+07   \n",
       "\n",
       "     Power at 659.47km  Power at 1087.26km  Power at 1792.56km  \\\n",
       "0         4.211883e+10        2.554690e+10        1.549531e+10   \n",
       "1         4.139500e+10        2.510787e+10        1.522901e+10   \n",
       "2         1.276259e+10        7.741064e+09        4.695292e+09   \n",
       "3         3.452830e+10        2.094292e+10        1.270279e+10   \n",
       "4         3.399038e+10        2.061665e+10        1.250489e+10   \n",
       "...                ...                 ...                 ...   \n",
       "2633      5.725811e+08        3.472953e+08        2.106497e+08   \n",
       "2634      5.635017e+08        3.417883e+08        2.073094e+08   \n",
       "2635      3.412368e+08        2.069750e+08        1.255393e+08   \n",
       "2636      6.416240e+08        3.891728e+08        2.360503e+08   \n",
       "2637      4.440801e+07        2.693539e+07        1.633748e+07   \n",
       "\n",
       "      Power at 2955.37km  Power at 4872.48km  Power at 8033.19km  \\\n",
       "0           9.398578e+09        5.700646e+09        3.457690e+09   \n",
       "1           9.237059e+09        5.602678e+09        3.398268e+09   \n",
       "2           2.847899e+09        1.727374e+09        1.047728e+09   \n",
       "3           7.704795e+09        4.673293e+09        2.834556e+09   \n",
       "4           7.584761e+09        4.600487e+09        2.790396e+09   \n",
       "...                  ...                 ...                 ...   \n",
       "2633        1.277682e+08        7.749698e+07        4.700529e+07   \n",
       "2634        1.257422e+08        7.626811e+07        4.625992e+07   \n",
       "2635        7.614505e+07        4.618528e+07        2.801338e+07   \n",
       "2636        1.431747e+08        8.684171e+07        5.267327e+07   \n",
       "2637        9.909394e+06        6.010478e+06        3.645617e+06   \n",
       "\n",
       "      Power at 13244.22km  Power at 21835.56km  Power at 36000km  \n",
       "0            2.097239e+09         1.272067e+09      7.715638e+08  \n",
       "1            2.061197e+09         1.250206e+09      7.583041e+08  \n",
       "2            6.354924e+08         3.854538e+08      2.337945e+08  \n",
       "3            1.719281e+09         1.042819e+09      6.325150e+08  \n",
       "4            1.692496e+09         1.026573e+09      6.226609e+08  \n",
       "...                   ...                  ...               ...  \n",
       "2633         2.851075e+07         1.729301e+07      1.048896e+07  \n",
       "2634         2.805866e+07         1.701879e+07      1.032264e+07  \n",
       "2635         1.699134e+07         1.030598e+07      6.251027e+06  \n",
       "2636         3.194863e+07         1.937823e+07      1.175374e+07  \n",
       "2637         2.211225e+06         1.341204e+06      8.134986e+05  \n",
       "\n",
       "[2638 rows x 33 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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