sample-python.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Followmee"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Loading data\n",
    "file = \"followmee/report-1809.csv\"\n",
    "df = pd.read_csv(file, sep=',', header=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Date</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Lng</th>\n",
       "      <th>Speed(mph)</th>\n",
       "      <th>Speed(km/h)</th>\n",
       "      <th>Altitude(ft)</th>\n",
       "      <th>Altitude(m)</th>\n",
       "      <th>Accuracy</th>\n",
       "      <th>Type</th>\n",
       "      <th>Distance(mile)</th>\n",
       "      <th>Distance(km)</th>\n",
       "      <th>Date2</th>\n",
       "      <th>Address</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Romain’s iPhone</td>\n",
       "      <td>2017-09-17 11:19:08 AM</td>\n",
       "      <td>45.77391</td>\n",
       "      <td>4.82669</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>839</td>\n",
       "      <td>256</td>\n",
       "      <td>25</td>\n",
       "      <td>GPS</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.07</td>\n",
       "      <td>2017-09-17 11:19:08+02:00</td>\n",
       "      <td>A1N4N2, Tunnel de la Croix-Rousse, Clos-Jouve,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Romain’s iPhone</td>\n",
       "      <td>2017-09-17 11:21:29 AM</td>\n",
       "      <td>45.77416</td>\n",
       "      <td>4.82740</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>741</td>\n",
       "      <td>226</td>\n",
       "      <td>30</td>\n",
       "      <td>GPS</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.07</td>\n",
       "      <td>2017-09-17 11:21:29+02:00</td>\n",
       "      <td>Mairie du 4e arrondissement, Boulevard de la C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Romain’s iPhone</td>\n",
       "      <td>2017-09-17 11:23:58 AM</td>\n",
       "      <td>45.77419</td>\n",
       "      <td>4.82811</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>862</td>\n",
       "      <td>263</td>\n",
       "      <td>25</td>\n",
       "      <td>GPS</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.06</td>\n",
       "      <td>2017-09-17 11:23:58+02:00</td>\n",
       "      <td>Mairie du 4e arrondissement, Boulevard de la C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Romain’s iPhone</td>\n",
       "      <td>2017-09-17 11:26:20 AM</td>\n",
       "      <td>45.77431</td>\n",
       "      <td>4.82878</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>915</td>\n",
       "      <td>279</td>\n",
       "      <td>10</td>\n",
       "      <td>GPS</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.06</td>\n",
       "      <td>2017-09-17 11:26:20+02:00</td>\n",
       "      <td>A1N4N2, Tunnel de la Croix-Rousse, Clos-Jouve,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Romain’s iPhone</td>\n",
       "      <td>2017-09-17 11:31:59 AM</td>\n",
       "      <td>45.77437</td>\n",
       "      <td>4.82985</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>823</td>\n",
       "      <td>251</td>\n",
       "      <td>30</td>\n",
       "      <td>GPS</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.09</td>\n",
       "      <td>2017-09-17 11:31:59+02:00</td>\n",
       "      <td>A1N4N2, Tunnel de la Croix-Rousse, Clos-Jouve,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Romain’s iPhone</td>\n",
       "      <td>2017-09-17 11:34:25 AM</td>\n",
       "      <td>45.77439</td>\n",
       "      <td>4.83102</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1006</td>\n",
       "      <td>307</td>\n",
       "      <td>100</td>\n",
       "      <td>GPS</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.10</td>\n",
       "      <td>2017-09-17 11:34:25+02:00</td>\n",
       "      <td>A1N4N2, Tunnel de la Croix-Rousse, Clos-Jouve,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Romain’s iPhone</td>\n",
       "      <td>2017-09-17 11:36:50 AM</td>\n",
       "      <td>45.77481</td>\n",
       "      <td>4.83174</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>882</td>\n",
       "      <td>269</td>\n",
       "      <td>10</td>\n",
       "      <td>GPS</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.08</td>\n",
       "      <td>2017-09-17 11:36:50+02:00</td>\n",
       "      <td>27, Place de la Croix-Rousse, La Croix-Rousse,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Romain’s iPhone</td>\n",
       "      <td>2017-09-17 11:37:57 AM</td>\n",
       "      <td>45.77469</td>\n",
       "      <td>4.83198</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>915</td>\n",
       "      <td>279</td>\n",
       "      <td>10</td>\n",
       "      <td>GPS</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.03</td>\n",
       "      <td>2017-09-17 11:37:57+02:00</td>\n",
       "      <td>27, Place de la Croix-Rousse, La Croix-Rousse,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Romain’s iPhone</td>\n",
       "      <td>2017-09-17 11:42:37 AM</td>\n",
       "      <td>45.77560</td>\n",
       "      <td>4.83235</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>711</td>\n",
       "      <td>217</td>\n",
       "      <td>30</td>\n",
       "      <td>GPS</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.11</td>\n",
       "      <td>2017-09-17 11:42:37+02:00</td>\n",
       "      <td>27, Place de la Croix-Rousse, La Croix-Rousse,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Romain’s iPhone</td>\n",
       "      <td>2017-09-17 11:45:04 AM</td>\n",
       "      <td>45.77656</td>\n",
       "      <td>4.83219</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>859</td>\n",
       "      <td>262</td>\n",
       "      <td>50</td>\n",
       "      <td>GPS</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.11</td>\n",
       "      <td>2017-09-17 11:45:04+02:00</td>\n",
       "      <td>2, Rue Dumont, La Croix-Rousse, Lyon 4e Arrond...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Romain’s iPhone</td>\n",
       "      <td>2017-09-17 11:47:17 AM</td>\n",
       "      <td>45.77750</td>\n",
       "      <td>4.83218</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>829</td>\n",
       "      <td>253</td>\n",
       "      <td>10</td>\n",
       "      <td>GPS</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.11</td>\n",
       "      <td>2017-09-17 11:47:17+02:00</td>\n",
       "      <td>27, Grande Rue de la Croix-Rousse, La Croix-Ro...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Romain’s iPhone</td>\n",
       "      <td>2017-09-17 11:48:39 AM</td>\n",
       "      <td>45.77803</td>\n",
       "      <td>4.83209</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>718</td>\n",
       "      <td>219</td>\n",
       "      <td>25</td>\n",
       "      <td>GPS</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.06</td>\n",
       "      <td>2017-09-17 11:48:39+02:00</td>\n",
       "      <td>35, Grande Rue de la Croix-Rousse, La Croix-Ro...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Romain’s iPhone</td>\n",
       "      <td>2017-09-17 11:49:56 AM</td>\n",
       "      <td>45.77839</td>\n",
       "      <td>4.83142</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>823</td>\n",
       "      <td>251</td>\n",
       "      <td>10</td>\n",
       "      <td>GPS</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.07</td>\n",
       "      <td>2017-09-17 11:49:56+02:00</td>\n",
       "      <td>3, Rue Rosset, La Croix-Rousse, Lyon 4e Arrond...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Name                    Date       Lat      Lng  Speed(mph)  \\\n",
       "0   Romain’s iPhone  2017-09-17 11:19:08 AM  45.77391  4.82669           0   \n",
       "1   Romain’s iPhone  2017-09-17 11:21:29 AM  45.77416  4.82740           1   \n",
       "2   Romain’s iPhone  2017-09-17 11:23:58 AM  45.77419  4.82811           0   \n",
       "3   Romain’s iPhone  2017-09-17 11:26:20 AM  45.77431  4.82878           0   \n",
       "4   Romain’s iPhone  2017-09-17 11:31:59 AM  45.77437  4.82985           1   \n",
       "5   Romain’s iPhone  2017-09-17 11:34:25 AM  45.77439  4.83102           1   \n",
       "6   Romain’s iPhone  2017-09-17 11:36:50 AM  45.77481  4.83174           2   \n",
       "7   Romain’s iPhone  2017-09-17 11:37:57 AM  45.77469  4.83198           0   \n",
       "8   Romain’s iPhone  2017-09-17 11:42:37 AM  45.77560  4.83235           2   \n",
       "9   Romain’s iPhone  2017-09-17 11:45:04 AM  45.77656  4.83219           2   \n",
       "10  Romain’s iPhone  2017-09-17 11:47:17 AM  45.77750  4.83218           1   \n",
       "11  Romain’s iPhone  2017-09-17 11:48:39 AM  45.77803  4.83209           2   \n",
       "12  Romain’s iPhone  2017-09-17 11:49:56 AM  45.77839  4.83142           3   \n",
       "\n",
       "    Speed(km/h)  Altitude(ft)  Altitude(m)  Accuracy Type  Distance(mile)  \\\n",
       "0             0           839          256        25  GPS            0.04   \n",
       "1             2           741          226        30  GPS            0.04   \n",
       "2             0           862          263        25  GPS            0.04   \n",
       "3             0           915          279        10  GPS            0.04   \n",
       "4             2           823          251        30  GPS            0.06   \n",
       "5             2          1006          307       100  GPS            0.06   \n",
       "6             3           882          269        10  GPS            0.05   \n",
       "7             0           915          279        10  GPS            0.02   \n",
       "8             3           711          217        30  GPS            0.07   \n",
       "9             3           859          262        50  GPS            0.07   \n",
       "10            2           829          253        10  GPS            0.07   \n",
       "11            3           718          219        25  GPS            0.04   \n",
       "12            5           823          251        10  GPS            0.05   \n",
       "\n",
       "    Distance(km)                      Date2  \\\n",
       "0           0.07  2017-09-17 11:19:08+02:00   \n",
       "1           0.07  2017-09-17 11:21:29+02:00   \n",
       "2           0.06  2017-09-17 11:23:58+02:00   \n",
       "3           0.06  2017-09-17 11:26:20+02:00   \n",
       "4           0.09  2017-09-17 11:31:59+02:00   \n",
       "5           0.10  2017-09-17 11:34:25+02:00   \n",
       "6           0.08  2017-09-17 11:36:50+02:00   \n",
       "7           0.03  2017-09-17 11:37:57+02:00   \n",
       "8           0.11  2017-09-17 11:42:37+02:00   \n",
       "9           0.11  2017-09-17 11:45:04+02:00   \n",
       "10          0.11  2017-09-17 11:47:17+02:00   \n",
       "11          0.06  2017-09-17 11:48:39+02:00   \n",
       "12          0.07  2017-09-17 11:49:56+02:00   \n",
       "\n",
       "                                              Address  \n",
       "0   A1N4N2, Tunnel de la Croix-Rousse, Clos-Jouve,...  \n",
       "1   Mairie du 4e arrondissement, Boulevard de la C...  \n",
       "2   Mairie du 4e arrondissement, Boulevard de la C...  \n",
       "3   A1N4N2, Tunnel de la Croix-Rousse, Clos-Jouve,...  \n",
       "4   A1N4N2, Tunnel de la Croix-Rousse, Clos-Jouve,...  \n",
       "5   A1N4N2, Tunnel de la Croix-Rousse, Clos-Jouve,...  \n",
       "6   27, Place de la Croix-Rousse, La Croix-Rousse,...  \n",
       "7   27, Place de la Croix-Rousse, La Croix-Rousse,...  \n",
       "8   27, Place de la Croix-Rousse, La Croix-Rousse,...  \n",
       "9   2, Rue Dumont, La Croix-Rousse, Lyon 4e Arrond...  \n",
       "10  27, Grande Rue de la Croix-Rousse, La Croix-Ro...  \n",
       "11  35, Grande Rue de la Croix-Rousse, La Croix-Ro...  \n",
       "12  3, Rue Rosset, La Croix-Rousse, Lyon 4e Arrond...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Name', 'Date', 'Lat', 'Lng', 'Speed(mph)', 'Speed(km/h)',\n",
       "       'Altitude(ft)', 'Altitude(m)', 'Accuracy', 'Type', 'Distance(mile)',\n",
       "       'Distance(km)', 'Date2', 'Address'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11479a860>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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S2n41sujCcjPrbma3Rf78EzP7f4Ve2gJ4L/L4GDN7K7JQQ+GF09/AT4UhEncK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\nhIQCXUQkJBToIiIh8f8Bjdnmms895DQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11479d550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.reset_index().plot.line(df[\"Speed(km/h)\"].cumsum(), 'index', drawstyle='line')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1147f0550>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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DuA4YD4wGpkg6sqjMRGBERIwEpgGzMta9KiKOSx/3dcYOdYUVK5JV7TZvTubhjxuXd4vM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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114806080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# https://stackoverflow.com/questions/37293014/draw-a-cumulative-chart-from-a-pandas-dataframe\n",
    "df.reset_index().plot.line(\"Lat\", \"Lng\", drawstyle='line')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "IPython (Python 3)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}