notebooks/gps_serial.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "42629eea-651f-454f-b71f-2e3cc4e7dd2b",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install pyserial\n",
    "!pip install pynmea2\n",
    "!pip install geopandas\n",
    "!pip install contextily"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38d5743c-4765-4752-aca2-b3098995b21f",
   "metadata": {},
   "source": [
    "# Save NMEA data from GPS receiver to file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6e46d6f7-0541-4e62-88b6-4739df5550a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# you need to connect GPS receiver to USB to run following code\n",
    "\n",
    "# import serial\n",
    "# import datetime\n",
    "\n",
    "# ser = serial.Serial(\"/dev/cu.usbserial-0001\", baudrate=9600)\n",
    "# ser.flushInput()\n",
    "# ser.flushOutput()\n",
    "# idx = 0\n",
    "\n",
    "# nmea_data = b\"\"\n",
    "\n",
    "# # skip first line, since it could be incomplete\n",
    "# ser.readline()\n",
    "\n",
    "# while True:\n",
    "#     idx += 1\n",
    "#     nmea_sentence = ser.readline()\n",
    "#     nmea_data += nmea_sentence\n",
    "\n",
    "#     if idx % 100 == 0:\n",
    "#         print(f\"idx: {idx}\")\n",
    "        \n",
    "#     if idx % 2000 == 0:\n",
    "\n",
    "#         # save to file after 2000 sentences added\n",
    "#         filename = datetime.datetime.utcnow().strftime(\"data/gps_data_%Y%m%d-%H%M%S.nmea\")\n",
    "#         f = open(filename, \"ab\")\n",
    "#         f.write(nmea_data)\n",
    "#         f.close()\n",
    "        \n",
    "#         nmea_data = b\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51275f39-926b-4a8f-a235-7b8972ba2e4e",
   "metadata": {},
   "source": [
    "# Download example NMEA data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3edb39bf-3145-455c-82bd-4c4728a2f8d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import os\n",
    "\n",
    "response = requests.get(\"https://raw.githubusercontent.com/maxim75/data-visualization/master/notebooks/data/geo/gps_data_20220215-070028.nmea\")\n",
    "\n",
    "if not os.path.exists(\"data\"):\n",
    "    os.makedirs(\"data\")\n",
    "f = open(\"data/gps_data.nmea\", \"a\")\n",
    "f.write(response.text)\n",
    "f.close()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7416ba8-f230-4ecf-aaac-13edf541340e",
   "metadata": {},
   "source": [
    "# Show first 10 message properties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0198808b-b8c8-44ad-9e99-9e71d789d7e5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "message: $GNGSA,A,3,21,22,01,31,32,10,03,04,,,,,1.27,0.69,1.06*17\n",
      "Mode                                     mode                 A\n",
      "Mode fix type                            mode_fix_type        3\n",
      "SV ID01                                  sv_id01              21\n",
      "SV ID02                                  sv_id02              22\n",
      "SV ID03                                  sv_id03              01\n",
      "SV ID04                                  sv_id04              31\n",
      "SV ID05                                  sv_id05              32\n",
      "SV ID06                                  sv_id06              10\n",
      "SV ID07                                  sv_id07              03\n",
      "SV ID08                                  sv_id08              04\n",
      "SV ID09                                  sv_id09              \n",
      "SV ID10                                  sv_id10              \n",
      "SV ID11                                  sv_id11              \n",
      "SV ID12                                  sv_id12              \n",
      "PDOP (Dilution of precision)             pdop                 1.27\n",
      "HDOP (Horizontal DOP)                    hdop                 0.69\n",
      "VDOP (Vertical DOP)                      vdop                 1.06\n",
      "\n",
      "\n",
      "message: $GNGSA,A,3,71,86,73,72,87,74,85,,,,,,1.27,0.69,1.06*18\n",
      "Mode                                     mode                 A\n",
      "Mode fix type                            mode_fix_type        3\n",
      "SV ID01                                  sv_id01              71\n",
      "SV ID02                                  sv_id02              86\n",
      "SV ID03                                  sv_id03              73\n",
      "SV ID04                                  sv_id04              72\n",
      "SV ID05                                  sv_id05              87\n",
      "SV ID06                                  sv_id06              74\n",
      "SV ID07                                  sv_id07              85\n",
      "SV ID08                                  sv_id08              \n",
      "SV ID09                                  sv_id09              \n",
      "SV ID10                                  sv_id10              \n",
      "SV ID11                                  sv_id11              \n",
      "SV ID12                                  sv_id12              \n",
      "PDOP (Dilution of precision)             pdop                 1.27\n",
      "HDOP (Horizontal DOP)                    hdop                 0.69\n",
      "VDOP (Vertical DOP)                      vdop                 1.06\n",
      "\n",
      "\n",
      "message: $GPGSV,4,1,13,01,51,248,13,03,26,229,16,04,16,283,13,08,01,322,*7C\n",
      "Number of messages of type in cycle      num_messages         4\n",
      "Message Number                           msg_num              1\n",
      "Total number of SVs in view              num_sv_in_view       13\n",
      "SV PRN number 1                          sv_prn_num_1         01\n",
      "Elevation in degrees 1                   elevation_deg_1      51\n",
      "Azimuth, deg from true north 1           azimuth_1            248\n",
      "SNR 1                                    snr_1                13\n",
      "SV PRN number 2                          sv_prn_num_2         03\n",
      "Elevation in degrees 2                   elevation_deg_2      26\n",
      "Azimuth, deg from true north 2           azimuth_2            229\n",
      "SNR 2                                    snr_2                16\n",
      "SV PRN number 3                          sv_prn_num_3         04\n",
      "Elevation in degrees 3                   elevation_deg_3      16\n",
      "Azimuth, deg from true north 3           azimuth_3            283\n",
      "SNR 3                                    snr_3                13\n",
      "SV PRN number 4                          sv_prn_num_4         08\n",
      "Elevation in degrees 4                   elevation_deg_4      01\n",
      "Azimuth, deg from true north 4           azimuth_4            322\n",
      "SNR 4                                    snr_4                \n",
      "\n",
      "\n",
      "message: $GPGSV,4,2,13,10,15,069,20,17,00,223,,21,56,307,23,22,51,144,15*74\n",
      "Number of messages of type in cycle      num_messages         4\n",
      "Message Number                           msg_num              2\n",
      "Total number of SVs in view              num_sv_in_view       13\n",
      "SV PRN number 1                          sv_prn_num_1         10\n",
      "Elevation in degrees 1                   elevation_deg_1      15\n",
      "Azimuth, deg from true north 1           azimuth_1            069\n",
      "SNR 1                                    snr_1                20\n",
      "SV PRN number 2                          sv_prn_num_2         17\n",
      "Elevation in degrees 2                   elevation_deg_2      00\n",
      "Azimuth, deg from true north 2           azimuth_2            223\n",
      "SNR 2                                    snr_2                \n",
      "SV PRN number 3                          sv_prn_num_3         21\n",
      "Elevation in degrees 3                   elevation_deg_3      56\n",
      "Azimuth, deg from true north 3           azimuth_3            307\n",
      "SNR 3                                    snr_3                23\n",
      "SV PRN number 4                          sv_prn_num_4         22\n",
      "Elevation in degrees 4                   elevation_deg_4      51\n",
      "Azimuth, deg from true north 4           azimuth_4            144\n",
      "SNR 4                                    snr_4                15\n",
      "\n",
      "\n",
      "message: $GPGSV,4,3,13,25,09,120,,26,12,038,07,31,67,081,28,32,34,129,22*76\n",
      "Number of messages of type in cycle      num_messages         4\n",
      "Message Number                           msg_num              3\n",
      "Total number of SVs in view              num_sv_in_view       13\n",
      "SV PRN number 1                          sv_prn_num_1         25\n",
      "Elevation in degrees 1                   elevation_deg_1      09\n",
      "Azimuth, deg from true north 1           azimuth_1            120\n",
      "SNR 1                                    snr_1                \n",
      "SV PRN number 2                          sv_prn_num_2         26\n",
      "Elevation in degrees 2                   elevation_deg_2      12\n",
      "Azimuth, deg from true north 2           azimuth_2            038\n",
      "SNR 2                                    snr_2                07\n",
      "SV PRN number 3                          sv_prn_num_3         31\n",
      "Elevation in degrees 3                   elevation_deg_3      67\n",
      "Azimuth, deg from true north 3           azimuth_3            081\n",
      "SNR 3                                    snr_3                28\n",
      "SV PRN number 4                          sv_prn_num_4         32\n",
      "Elevation in degrees 4                   elevation_deg_4      34\n",
      "Azimuth, deg from true north 4           azimuth_4            129\n",
      "SNR 4                                    snr_4                22\n",
      "\n",
      "\n",
      "message: $GPGSV,4,4,13,50,43,321,*49\n",
      "Number of messages of type in cycle      num_messages         4\n",
      "Message Number                           msg_num              4\n",
      "Total number of SVs in view              num_sv_in_view       13\n",
      "SV PRN number 1                          sv_prn_num_1         50\n",
      "Elevation in degrees 1                   elevation_deg_1      43\n",
      "Azimuth, deg from true north 1           azimuth_1            321\n",
      "SNR 1                                    snr_1                \n",
      "SV PRN number 2                          sv_prn_num_2         \n",
      "Elevation in degrees 2                   elevation_deg_2      \n",
      "Azimuth, deg from true north 2           azimuth_2            \n",
      "SNR 2                                    snr_2                \n",
      "SV PRN number 3                          sv_prn_num_3         \n",
      "Elevation in degrees 3                   elevation_deg_3      \n",
      "Azimuth, deg from true north 3           azimuth_3            \n",
      "SNR 3                                    snr_3                \n",
      "SV PRN number 4                          sv_prn_num_4         \n",
      "Elevation in degrees 4                   elevation_deg_4      \n",
      "Azimuth, deg from true north 4           azimuth_4            \n",
      "SNR 4                                    snr_4                \n",
      "\n",
      "\n",
      "message: $GLGSV,3,1,09,70,24,114,07,71,50,173,32,72,29,237,22,73,43,075,29*69\n",
      "Number of messages of type in cycle      num_messages         3\n",
      "Message Number                           msg_num              1\n",
      "Total number of SVs in view              num_sv_in_view       09\n",
      "SV PRN number 1                          sv_prn_num_1         70\n",
      "Elevation in degrees 1                   elevation_deg_1      24\n",
      "Azimuth, deg from true north 1           azimuth_1            114\n",
      "SNR 1                                    snr_1                07\n",
      "SV PRN number 2                          sv_prn_num_2         71\n",
      "Elevation in degrees 2                   elevation_deg_2      50\n",
      "Azimuth, deg from true north 2           azimuth_2            173\n",
      "SNR 2                                    snr_2                32\n",
      "SV PRN number 3                          sv_prn_num_3         72\n",
      "Elevation in degrees 3                   elevation_deg_3      29\n",
      "Azimuth, deg from true north 3           azimuth_3            237\n",
      "SNR 3                                    snr_3                22\n",
      "SV PRN number 4                          sv_prn_num_4         73\n",
      "Elevation in degrees 4                   elevation_deg_4      43\n",
      "Azimuth, deg from true north 4           azimuth_4            075\n",
      "SNR 4                                    snr_4                29\n",
      "\n",
      "\n",
      "message: $GLGSV,3,2,09,74,22,022,20,80,27,134,,85,09,346,09,86,37,304,17*60\n",
      "Number of messages of type in cycle      num_messages         3\n",
      "Message Number                           msg_num              2\n",
      "Total number of SVs in view              num_sv_in_view       09\n",
      "SV PRN number 1                          sv_prn_num_1         74\n",
      "Elevation in degrees 1                   elevation_deg_1      22\n",
      "Azimuth, deg from true north 1           azimuth_1            022\n",
      "SNR 1                                    snr_1                20\n",
      "SV PRN number 2                          sv_prn_num_2         80\n",
      "Elevation in degrees 2                   elevation_deg_2      27\n",
      "Azimuth, deg from true north 2           azimuth_2            134\n",
      "SNR 2                                    snr_2                \n",
      "SV PRN number 3                          sv_prn_num_3         85\n",
      "Elevation in degrees 3                   elevation_deg_3      09\n",
      "Azimuth, deg from true north 3           azimuth_3            346\n",
      "SNR 3                                    snr_3                09\n",
      "SV PRN number 4                          sv_prn_num_4         86\n",
      "Elevation in degrees 4                   elevation_deg_4      37\n",
      "Azimuth, deg from true north 4           azimuth_4            304\n",
      "SNR 4                                    snr_4                17\n",
      "\n",
      "\n",
      "message: $GLGSV,3,3,09,87,28,227,19*56\n",
      "Number of messages of type in cycle      num_messages         3\n",
      "Message Number                           msg_num              3\n",
      "Total number of SVs in view              num_sv_in_view       09\n",
      "SV PRN number 1                          sv_prn_num_1         87\n",
      "Elevation in degrees 1                   elevation_deg_1      28\n",
      "Azimuth, deg from true north 1           azimuth_1            227\n",
      "SNR 1                                    snr_1                19\n",
      "SV PRN number 2                          sv_prn_num_2         \n",
      "Elevation in degrees 2                   elevation_deg_2      \n",
      "Azimuth, deg from true north 2           azimuth_2            \n",
      "SNR 2                                    snr_2                \n",
      "SV PRN number 3                          sv_prn_num_3         \n",
      "Elevation in degrees 3                   elevation_deg_3      \n",
      "Azimuth, deg from true north 3           azimuth_3            \n",
      "SNR 3                                    snr_3                \n",
      "SV PRN number 4                          sv_prn_num_4         \n",
      "Elevation in degrees 4                   elevation_deg_4      \n",
      "Azimuth, deg from true north 4           azimuth_4            \n",
      "SNR 4                                    snr_4                \n",
      "\n",
      "\n",
      "message: $GNGLL,3402.91780,S,15101.42526,E,064654.00,A,A*6E\n",
      "Latitude                                 lat                  3402.91780\n",
      "Latitude Direction                       lat_dir              S\n",
      "Longitude                                lon                  15101.42526\n",
      "Longitude Direction                      lon_dir              E\n",
      "Timestamp                                timestamp            06:46:54\n",
      "Status                                   status               A\n",
      "FAA mode indicator                       faa_mode             A\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import pynmea2\n",
    "\n",
    "nmea_data = open(\"data/gps_data.nmea\", \"rb\")\n",
    "for message_bytes in nmea_data.readlines()[:10]: # read first 10 messages from file\n",
    "    try:\n",
    "        message = message_bytes.decode(\"utf-8\").replace(\"\\n\", \"\").replace(\"\\r\", \"\")\n",
    "        parsed_message = pynmea2.parse(message)\n",
    "    except:\n",
    "        # skip invalid messages\n",
    "        continue\n",
    "        \n",
    "    print(f\"message: {message}\")\n",
    "\n",
    "    for field in parsed_message.fields:\n",
    "        value = getattr(parsed_message, field[1])\n",
    "        print(f\"{field[0]:40} {field[1]:20} {value}\")\n",
    "    \n",
    "    print(\"\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f48a0b42-f142-4727-a4c7-5a33ec6dfcd0",
   "metadata": {},
   "source": [
    "# Extract data from parsed messages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c562e7ca-9e05-49bc-9dbd-c4eb08676462",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'timestamp': datetime.time(6, 46, 55),\n",
       " 'latitude': -34.048630333333335,\n",
       " 'longitude': 151.02375633333332,\n",
       " 'horizontal_dil': '0.62',\n",
       " 'num_sats': '12',\n",
       " 'gps_qual': 1}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pynmea2\n",
    "\n",
    "nmea_data = open(\"data/gps_data.nmea\", \"rb\")\n",
    "\n",
    "coordinates_data = []\n",
    "\n",
    "for message_bytes in nmea_data.readlines():    \n",
    "    try:\n",
    "        message = message_bytes.decode(\"utf-8\").replace(\"\\n\", \"\").replace(\"\\r\", \"\")\n",
    "        parsed_message = pynmea2.parse(message)\n",
    "    except:\n",
    "        # skip invalid sentences\n",
    "        continue\n",
    "\n",
    "    cga_data = {}\n",
    "    \n",
    "    # process only GGA messages\n",
    "    if parsed_message.sentence_type == \"GGA\":\n",
    "        for attr in [\"timestamp\", \"latitude\", \"longitude\", \"latitude\", \"horizontal_dil\", \"num_sats\", \"gps_qual\"]:\n",
    "            cga_data[attr] = getattr(parsed_message, attr)\n",
    "        coordinates_data.append(cga_data)\n",
    "        \n",
    "coordinates_data[0]\n",
    "        "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b1f1c8d-3a71-406e-92fb-6767b0f86bb1",
   "metadata": {},
   "source": [
    "# Create geo data frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c2ee31f4-02c9-46d4-a1e7-cbdd7b40b04b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/z/code/data-visualization/env/lib/python3.9/site-packages/geopandas/_compat.py:111: UserWarning: The Shapely GEOS version (3.8.0-CAPI-1.13.1 ) is incompatible with the GEOS version PyGEOS was compiled with (3.9.1-CAPI-1.14.2). Conversions between both will be slow.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>horizontal_dil</th>\n",
       "      <th>num_sats</th>\n",
       "      <th>gps_qual</th>\n",
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       "      <th>0</th>\n",
       "      <td>06:46:55</td>\n",
       "      <td>-34.048630</td>\n",
       "      <td>151.023756</td>\n",
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       "      <th>1</th>\n",
       "      <td>06:46:56</td>\n",
       "      <td>-34.048630</td>\n",
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       "      <th>2</th>\n",
       "      <td>06:46:57</td>\n",
       "      <td>-34.048623</td>\n",
       "      <td>151.023758</td>\n",
       "      <td>0.62</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>06:46:58</td>\n",
       "      <td>-34.048609</td>\n",
       "      <td>151.023757</td>\n",
       "      <td>0.61</td>\n",
       "      <td>12</td>\n",
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       "      <td>POINT (151.02376 -34.04861)</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>06:46:59</td>\n",
       "      <td>-34.048588</td>\n",
       "      <td>151.023755</td>\n",
       "      <td>0.62</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (151.02376 -34.04859)</td>\n",
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       "    <tr>\n",
       "      <th>1623</th>\n",
       "      <td>07:00:24</td>\n",
       "      <td>-34.047688</td>\n",
       "      <td>151.022902</td>\n",
       "      <td>0.66</td>\n",
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       "      <td>1</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1624</th>\n",
       "      <td>07:00:25</td>\n",
       "      <td>-34.047663</td>\n",
       "      <td>151.023005</td>\n",
       "      <td>0.66</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (151.02301 -34.04766)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1625</th>\n",
       "      <td>07:00:26</td>\n",
       "      <td>-34.047636</td>\n",
       "      <td>151.023108</td>\n",
       "      <td>0.66</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (151.02311 -34.04764)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1626</th>\n",
       "      <td>07:00:27</td>\n",
       "      <td>-34.047610</td>\n",
       "      <td>151.023211</td>\n",
       "      <td>0.66</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (151.02321 -34.04761)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1627</th>\n",
       "      <td>07:00:28</td>\n",
       "      <td>-34.047583</td>\n",
       "      <td>151.023318</td>\n",
       "      <td>0.66</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>POINT (151.02332 -34.04758)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1628 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     timestamp   latitude   longitude horizontal_dil num_sats  gps_qual  \\\n",
       "0     06:46:55 -34.048630  151.023756           0.62       12         1   \n",
       "1     06:46:56 -34.048630  151.023757           0.62       12         1   \n",
       "2     06:46:57 -34.048623  151.023758           0.62       12         1   \n",
       "3     06:46:58 -34.048609  151.023757           0.61       12         1   \n",
       "4     06:46:59 -34.048588  151.023755           0.62       12         1   \n",
       "...        ...        ...         ...            ...      ...       ...   \n",
       "1623  07:00:24 -34.047688  151.022902           0.66       12         1   \n",
       "1624  07:00:25 -34.047663  151.023005           0.66       12         1   \n",
       "1625  07:00:26 -34.047636  151.023108           0.66       12         1   \n",
       "1626  07:00:27 -34.047610  151.023211           0.66       12         1   \n",
       "1627  07:00:28 -34.047583  151.023318           0.66       12         1   \n",
       "\n",
       "                         geometry  \n",
       "0     POINT (151.02376 -34.04863)  \n",
       "1     POINT (151.02376 -34.04863)  \n",
       "2     POINT (151.02376 -34.04862)  \n",
       "3     POINT (151.02376 -34.04861)  \n",
       "4     POINT (151.02376 -34.04859)  \n",
       "...                           ...  \n",
       "1623  POINT (151.02290 -34.04769)  \n",
       "1624  POINT (151.02301 -34.04766)  \n",
       "1625  POINT (151.02311 -34.04764)  \n",
       "1626  POINT (151.02321 -34.04761)  \n",
       "1627  POINT (151.02332 -34.04758)  \n",
       "\n",
       "[1628 rows x 7 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "\n",
    "df = pd.DataFrame(coordinates_data)\n",
    "gdf = gpd.GeoDataFrame(df, geometry=gpd.points_from_xy(df.longitude, df.latitude, crs=\"EPSG:4326\"))\n",
    "gdf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6b381da-08a7-48db-b8fd-09b64559a783",
   "metadata": {},
   "source": [
    "# Render map "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e5233499-7514-4f12-8f58-33dd55ccbbcb",
   "metadata": {},
   "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": [
    "import matplotlib.pyplot as plt\n",
    "import contextily as ctx\n",
    "\n",
    "fig = plt.figure(figsize=(10,10))\n",
    "ax = plt.axes()\n",
    "gdf[gdf.gps_qual > 0].plot(ax=ax, alpha=.2, edgecolor=\"#ffff\", color='red')\n",
    "ctx.add_basemap(ax, source=ctx.providers.Stamen.TonerLite, crs=\"EPSG:4326\", alpha=.3)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}