GPS_data_process_analyse_US.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6a079093-9aa8-425a-8b05-684917048932",
   "metadata": {},
   "source": [
    "# Processing of US Coastguard GPS disruption data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f93a3faf-35cd-44f7-bf47-00a7a94184b7",
   "metadata": {},
   "source": [
    "## Prerequisites"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "571ad400-44c0-44be-9f28-361e0e0df9cf",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Installs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b172bfd2-e004-40c3-898d-b317168a68a8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting unidecode\n",
      "  Downloading Unidecode-1.3.6-py3-none-any.whl (235 kB)\n",
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      "\u001b[?25hInstalling collected packages: unidecode\n",
      "Successfully installed unidecode-1.3.6\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install unidecode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7703d7d6-2cb6-46a3-a09e-2c6c042eb3a9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting lxml\n",
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      "\u001b[?25hInstalling collected packages: lxml\n",
      "Successfully installed lxml-4.9.3\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install lxml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "230b4667-1b0d-44da-94c5-6aa0529b503e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "Requirement already satisfied: numpy>=1.21.0 in /home/codespace/.local/lib/python3.10/site-packages (from pandas>=1.1.0->geopandas) (1.24.3)\n",
      "Installing collected packages: shapely, pyproj, click, cligj, click-plugins, fiona, geopandas\n",
      "Successfully installed click-8.1.4 click-plugins-1.1.1 cligj-0.7.2 fiona-1.9.4.post1 geopandas-0.13.2 pyproj-3.6.0 shapely-2.0.1\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install geopandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "44fa676c-0724-40ef-9a33-61606d39f111",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting rtree\n",
      "  Downloading Rtree-1.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.0 MB)\n",
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      "\u001b[?25hInstalling collected packages: rtree\n",
      "Successfully installed rtree-1.0.1\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install rtree"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f2e09d9-259a-4d7e-916a-dc94bba454d8",
   "metadata": {},
   "source": [
    "### Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "09bbb9e4-54e4-46a3-8cbb-3430adfcad01",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/python/3.10.8/lib/python3.10/site-packages/geopandas/_compat.py:124: UserWarning: The Shapely GEOS version (3.11.1-CAPI-1.17.1) is incompatible with the GEOS version PyGEOS was compiled with (3.10.4-CAPI-1.16.2). Conversions between both will be slow.\n",
      "  warnings.warn(\n",
      "/tmp/ipykernel_455/3024413833.py:3: DeprecationWarning: Shapely 2.0 is installed, but because PyGEOS is also installed, GeoPandas still uses PyGEOS by default. However, starting with version 0.14, the default will switch to Shapely. To force to use Shapely 2.0 now, you can either uninstall PyGEOS or set the environment variable USE_PYGEOS=0. You can do this before starting the Python process, or in your code before importing geopandas:\n",
      "\n",
      "import os\n",
      "os.environ['USE_PYGEOS'] = '0'\n",
      "import geopandas\n",
      "\n",
      "In the next release, GeoPandas will switch to using Shapely by default, even if PyGEOS is installed. If you only have PyGEOS installed to get speed-ups, this switch should be smooth. However, if you are using PyGEOS directly (calling PyGEOS functions on geometries from GeoPandas), this will then stop working and you are encouraged to migrate from PyGEOS to Shapely 2.0 (https://shapely.readthedocs.io/en/latest/migration_pygeos.html).\n",
      "  import geopandas\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from datetime import datetime as dt\n",
    "import geopandas\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c10299f6-16c0-4ffd-b2ec-db3be7f081a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "from unidecode import unidecode\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "400e0bb0-700b-477e-bec0-5505b7da33e4",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Webscrape\n",
    "Run this to webscrape the data to files. If you already have the data locally, skip this section."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ca17ead-3145-4925-b3c7-65226f4cc0b9",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Web scrape GPS interruptions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3ec7a4d4-671d-4057-b174-8fa8e9810751",
   "metadata": {},
   "outputs": [],
   "source": [
    "table_list = pd.read_html(r'https://navcen.uscg.gov/gps-problem-report-status')\n",
    "table_list[0].to_csv('gps_navcen.csv',index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7560a2a1-b006-4f8a-9847-66d9b2eba912",
   "metadata": {},
   "source": [
    "### Web scrape wikipedia \n",
    "#### US state codes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a25e6e01-62c1-47e4-9b0c-7fb228179f7a",
   "metadata": {},
   "outputs": [],
   "source": [
    "table_list_iso3166= pd.read_html('https://en.wikipedia.org/wiki/ISO_3166-2:US')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "611a8c12-0d0d-47c5-875f-b778f3cad45c",
   "metadata": {},
   "outputs": [],
   "source": [
    "US_states_iso3166=table_list_iso3166[0]\n",
    "US_states_iso3166['clean_state']=US_states_iso3166['Code'].apply(lambda x: x.split('-')[1])\n",
    "US_states_iso3166.to_csv('US_states_iso3166.csv',index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77465824-d22a-4e64-910b-28caafe867c1",
   "metadata": {},
   "source": [
    "#### List of sovereign states"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "29d10c65-ca6f-4500-bd32-510a9868cd52",
   "metadata": {},
   "outputs": [],
   "source": [
    "sovereign_states_list= pd.read_html('https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2')[2]\n",
    "sovereign_states_list[sovereign_states_list['Country name (using title case)'].notna()].to_csv('sovereign_states.csv',index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21079639-93d7-4b29-8578-35bc7945d574",
   "metadata": {},
   "source": [
    "## Processing and Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b6e2c48-2566-4369-bf82-5f35a582d794",
   "metadata": {},
   "source": [
    "### Load from csv files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f0c07b05-a645-400f-919e-f2260bfc56ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "gps_disruption_df=pd.read_csv('gps_navcen.csv')\n",
    "two_letter_codes=pd.read_csv('US_states_iso3166.csv')\n",
    "sovereign_states=pd.read_csv('sovereign_states.csv')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "82947d92-9898-423f-be62-8a744ff38c8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "gps_disruption_df['User']=gps_disruption_df['Description'].str.split(pat='NAVCEN',n=1,expand=True)[0]\n",
    "gps_disruption_df['NAVCEN']=gps_disruption_df['Description'].str.split(pat='NAVCEN',n=1,expand=True)[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "29a65651-5871-410a-aa3c-24889de04d51",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Disruption Date/Time</th>\n",
       "      <th>Location</th>\n",
       "      <th>Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Cause</th>\n",
       "      <th>Closed Date</th>\n",
       "      <th>User</th>\n",
       "      <th>NAVCEN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>06/15/2023 15:55:00 Eastern African Time</td>\n",
       "      <td>JAZIRAT JABAL ZUQAR</td>\n",
       "      <td>Marine</td>\n",
       "      <td>USER: GPS Disruption Commenced at 1555 LT (125...</td>\n",
       "      <td>Unknown Interference</td>\n",
       "      <td>06/22/2023</td>\n",
       "      <td>USER: GPS Disruption Commenced at 1555 LT (125...</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>06/02/2023 13:38:00 EST</td>\n",
       "      <td>Sparta, Georgia</td>\n",
       "      <td>Automobile</td>\n",
       "      <td>USER: On three separate devices, GPS was eithe...</td>\n",
       "      <td>Insufficient Information</td>\n",
       "      <td>06/22/2023</td>\n",
       "      <td>USER: On three separate devices, GPS was eithe...</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>05/25/2023 05:55:00 UTC</td>\n",
       "      <td>Annapolis, MD</td>\n",
       "      <td>Other</td>\n",
       "      <td>USER: The tracking system on my boat sent an a...</td>\n",
       "      <td>Insufficient Information</td>\n",
       "      <td>06/22/2023</td>\n",
       "      <td>USER: The tracking system on my boat sent an a...</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>05/22/2023 16:26:00 PST</td>\n",
       "      <td>Perris, CA</td>\n",
       "      <td>Communications</td>\n",
       "      <td>USER: Google pin wanders off beyond GPS margin...</td>\n",
       "      <td>User Equipment</td>\n",
       "      <td>06/22/2023</td>\n",
       "      <td>USER: Google pin wanders off beyond GPS margin...</td>\n",
       "      <td>: There were no authorized GPS tests in the ar...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05/13/2023 23:30:31 EEST</td>\n",
       "      <td>Constanta, Romania</td>\n",
       "      <td>Timing</td>\n",
       "      <td>USER: We have often GPS outages, almost every ...</td>\n",
       "      <td>Unknown Interference</td>\n",
       "      <td>06/21/2023</td>\n",
       "      <td>USER: We have often GPS outages, almost every ...</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>01/05/2017 4:35 UTC</td>\n",
       "      <td>Chile</td>\n",
       "      <td>Law Enforcement</td>\n",
       "      <td>User: There were large spikes in geozone alarm...</td>\n",
       "      <td>User Equipment</td>\n",
       "      <td>05/20/2019</td>\n",
       "      <td>User: There were large spikes in geozone alarm...</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>01/03/2017 11:AM CST</td>\n",
       "      <td>San Angelo Airport</td>\n",
       "      <td>Aviation</td>\n",
       "      <td>User: The GPS systems in normal mode not milit...</td>\n",
       "      <td>Unintentional Interference</td>\n",
       "      <td>05/20/2019</td>\n",
       "      <td>User: The GPS systems in normal mode not milit...</td>\n",
       "      <td>: Report referred to FCC. FCC conducted an inv...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>01/02/2017 3:00 EST</td>\n",
       "      <td>North Carolina - South Carolina border</td>\n",
       "      <td>Transportation</td>\n",
       "      <td>User: GPS would say when you plug in that ther...</td>\n",
       "      <td>User Equipment</td>\n",
       "      <td>05/20/2019</td>\n",
       "      <td>User: GPS would say when you plug in that ther...</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>01/01/2017 12:00 EST</td>\n",
       "      <td>Elizabeth, NJ</td>\n",
       "      <td>Transportation</td>\n",
       "      <td>User: My business is located in Elizabeth, NJ....</td>\n",
       "      <td>Mapping Issue</td>\n",
       "      <td>05/20/2019</td>\n",
       "      <td>User: My business is located in Elizabeth, NJ....</td>\n",
       "      <td>: User provided information on how to contact ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>11/16/2016 7h37 UTC</td>\n",
       "      <td>Rennes, France</td>\n",
       "      <td>Research</td>\n",
       "      <td>User: I experimented high range error on PRN 3...</td>\n",
       "      <td>User Equipment</td>\n",
       "      <td>05/20/2019</td>\n",
       "      <td>User: I experimented high range error on PRN 3...</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>459 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Disruption Date/Time  \\\n",
       "0    06/15/2023 15:55:00 Eastern African Time   \n",
       "1                     06/02/2023 13:38:00 EST   \n",
       "2                     05/25/2023 05:55:00 UTC   \n",
       "3                     05/22/2023 16:26:00 PST   \n",
       "4                    05/13/2023 23:30:31 EEST   \n",
       "..                                        ...   \n",
       "454                       01/05/2017 4:35 UTC   \n",
       "455                      01/03/2017 11:AM CST   \n",
       "456                       01/02/2017 3:00 EST   \n",
       "457                      01/01/2017 12:00 EST   \n",
       "458                       11/16/2016 7h37 UTC   \n",
       "\n",
       "                                   Location             Type  \\\n",
       "0                       JAZIRAT JABAL ZUQAR           Marine   \n",
       "1                           Sparta, Georgia       Automobile   \n",
       "2                             Annapolis, MD            Other   \n",
       "3                                Perris, CA   Communications   \n",
       "4                        Constanta, Romania           Timing   \n",
       "..                                      ...              ...   \n",
       "454                                   Chile  Law Enforcement   \n",
       "455                      San Angelo Airport         Aviation   \n",
       "456  North Carolina - South Carolina border   Transportation   \n",
       "457                           Elizabeth, NJ   Transportation   \n",
       "458                          Rennes, France         Research   \n",
       "\n",
       "                                           Description  \\\n",
       "0    USER: GPS Disruption Commenced at 1555 LT (125...   \n",
       "1    USER: On three separate devices, GPS was eithe...   \n",
       "2    USER: The tracking system on my boat sent an a...   \n",
       "3    USER: Google pin wanders off beyond GPS margin...   \n",
       "4    USER: We have often GPS outages, almost every ...   \n",
       "..                                                 ...   \n",
       "454  User: There were large spikes in geozone alarm...   \n",
       "455  User: The GPS systems in normal mode not milit...   \n",
       "456  User: GPS would say when you plug in that ther...   \n",
       "457  User: My business is located in Elizabeth, NJ....   \n",
       "458  User: I experimented high range error on PRN 3...   \n",
       "\n",
       "                          Cause Closed Date  \\\n",
       "0          Unknown Interference  06/22/2023   \n",
       "1      Insufficient Information  06/22/2023   \n",
       "2      Insufficient Information  06/22/2023   \n",
       "3                User Equipment  06/22/2023   \n",
       "4          Unknown Interference  06/21/2023   \n",
       "..                          ...         ...   \n",
       "454              User Equipment  05/20/2019   \n",
       "455  Unintentional Interference  05/20/2019   \n",
       "456              User Equipment  05/20/2019   \n",
       "457               Mapping Issue  05/20/2019   \n",
       "458              User Equipment  05/20/2019   \n",
       "\n",
       "                                                  User  \\\n",
       "0    USER: GPS Disruption Commenced at 1555 LT (125...   \n",
       "1    USER: On three separate devices, GPS was eithe...   \n",
       "2    USER: The tracking system on my boat sent an a...   \n",
       "3    USER: Google pin wanders off beyond GPS margin...   \n",
       "4    USER: We have often GPS outages, almost every ...   \n",
       "..                                                 ...   \n",
       "454  User: There were large spikes in geozone alarm...   \n",
       "455  User: The GPS systems in normal mode not milit...   \n",
       "456  User: GPS would say when you plug in that ther...   \n",
       "457  User: My business is located in Elizabeth, NJ....   \n",
       "458  User: I experimented high range error on PRN 3...   \n",
       "\n",
       "                                                NAVCEN  \n",
       "0    : The GPS Operations Center reviewed the GPS C...  \n",
       "1    : The GPS Operations Center reviewed the GPS C...  \n",
       "2    : The GPS Operations Center reviewed the GPS C...  \n",
       "3    : There were no authorized GPS tests in the ar...  \n",
       "4    : The GPS Operations Center reviewed the GPS C...  \n",
       "..                                                 ...  \n",
       "454  : The GPS Operations Center reviewed the GPS C...  \n",
       "455  : Report referred to FCC. FCC conducted an inv...  \n",
       "456  : The GPS Operations Center reviewed the GPS C...  \n",
       "457  : User provided information on how to contact ...  \n",
       "458  : The GPS Operations Center reviewed the GPS C...  \n",
       "\n",
       "[459 rows x 8 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gps_disruption_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d640c40-c321-473f-aa00-5e6fa67dbcf6",
   "metadata": {},
   "source": [
    "## Analyse disruptions by date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bff75004-449c-4cbf-b543-7f58c5b10a1a",
   "metadata": {},
   "outputs": [],
   "source": [
    "gps_disruption_df['local_date']=gps_disruption_df['Disruption Date/Time']\\\n",
    ".apply(lambda x:dt.strptime(x[0:10],'%m/%d/%Y'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bdd2ca0f-64f8-4d63-b94b-b2425fd81c97",
   "metadata": {},
   "source": [
    "The local date is the UTC date with up to 0.5 day error. That's not bad for analysis to the nearest day. This will have to be improved for more precise analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1fd44f7d-b467-4af7-9a2c-10f79a964045",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='local_date'>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gps_disruption_df.resample('M', on='local_date').\\\n",
    "count()['Disruption Date/Time'].plot(rot=90)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02920851-0daf-419a-8a52-a470621e5f45",
   "metadata": {},
   "source": [
    "## Analyse disruptions by location"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c85b235a-30c1-4e69-821b-458f535cd754",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Add UK and US to two letter codes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fc9118fa-e2d7-46c1-8c0f-667eb31f79d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "two_letter_codes['code_spaced']=two_letter_codes['Code'].str.replace('-',' ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3f54257e-a5cc-4220-956b-c4022c339925",
   "metadata": {},
   "outputs": [],
   "source": [
    "two_letter_codes=\\\n",
    "pd.concat([two_letter_codes,\\\n",
    "           pd.DataFrame({'Code':\"GB\",'Subdivision name (en)':\"United Kingdom\",'Subdivision category':\"Country\",'clean_state':\"UK\",'code_spaced':\"UK\"},index=[two_letter_codes['Code'].count()])])\n",
    "two_letter_codes=\\\n",
    "pd.concat([two_letter_codes,\\\n",
    "           pd.DataFrame({'Code':\"US\",'Subdivision name (en)':\"United States\",'Subdivision category':\"Country\",'clean_state':\"US\",'code_spaced':\"US\"},index=[two_letter_codes['Code'].count()])])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "601c2c00-e420-4949-8d44-edb8c3f26beb",
   "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>Code</th>\n",
       "      <th>Subdivision name (en)</th>\n",
       "      <th>Subdivision category</th>\n",
       "      <th>clean_state</th>\n",
       "      <th>code_spaced</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>US-AL</td>\n",
       "      <td>Alabama</td>\n",
       "      <td>State</td>\n",
       "      <td>AL</td>\n",
       "      <td>US AL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>US-AK</td>\n",
       "      <td>Alaska</td>\n",
       "      <td>State</td>\n",
       "      <td>AK</td>\n",
       "      <td>US AK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>US-AZ</td>\n",
       "      <td>Arizona</td>\n",
       "      <td>State</td>\n",
       "      <td>AZ</td>\n",
       "      <td>US AZ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>US-AR</td>\n",
       "      <td>Arkansas</td>\n",
       "      <td>State</td>\n",
       "      <td>AR</td>\n",
       "      <td>US AR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>US-CA</td>\n",
       "      <td>California</td>\n",
       "      <td>State</td>\n",
       "      <td>CA</td>\n",
       "      <td>US CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>US-CO</td>\n",
       "      <td>Colorado</td>\n",
       "      <td>State</td>\n",
       "      <td>CO</td>\n",
       "      <td>US CO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>US-CT</td>\n",
       "      <td>Connecticut</td>\n",
       "      <td>State</td>\n",
       "      <td>CT</td>\n",
       "      <td>US CT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>US-DE</td>\n",
       "      <td>Delaware</td>\n",
       "      <td>State</td>\n",
       "      <td>DE</td>\n",
       "      <td>US DE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>US-FL</td>\n",
       "      <td>Florida</td>\n",
       "      <td>State</td>\n",
       "      <td>FL</td>\n",
       "      <td>US FL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>US-GA</td>\n",
       "      <td>Georgia</td>\n",
       "      <td>State</td>\n",
       "      <td>GA</td>\n",
       "      <td>US GA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>US-HI</td>\n",
       "      <td>Hawaii</td>\n",
       "      <td>State</td>\n",
       "      <td>HI</td>\n",
       "      <td>US HI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>US-ID</td>\n",
       "      <td>Idaho</td>\n",
       "      <td>State</td>\n",
       "      <td>ID</td>\n",
       "      <td>US ID</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>US-IL</td>\n",
       "      <td>Illinois</td>\n",
       "      <td>State</td>\n",
       "      <td>IL</td>\n",
       "      <td>US IL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>US-IN</td>\n",
       "      <td>Indiana</td>\n",
       "      <td>State</td>\n",
       "      <td>IN</td>\n",
       "      <td>US IN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>US-IA</td>\n",
       "      <td>Iowa</td>\n",
       "      <td>State</td>\n",
       "      <td>IA</td>\n",
       "      <td>US IA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>US-KS</td>\n",
       "      <td>Kansas</td>\n",
       "      <td>State</td>\n",
       "      <td>KS</td>\n",
       "      <td>US KS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>US-KY</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>State</td>\n",
       "      <td>KY</td>\n",
       "      <td>US KY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>US-LA</td>\n",
       "      <td>Louisiana</td>\n",
       "      <td>State</td>\n",
       "      <td>LA</td>\n",
       "      <td>US LA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>US-ME</td>\n",
       "      <td>Maine</td>\n",
       "      <td>State</td>\n",
       "      <td>ME</td>\n",
       "      <td>US ME</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>US-MD</td>\n",
       "      <td>Maryland</td>\n",
       "      <td>State</td>\n",
       "      <td>MD</td>\n",
       "      <td>US MD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>US-MA</td>\n",
       "      <td>Massachusetts</td>\n",
       "      <td>State</td>\n",
       "      <td>MA</td>\n",
       "      <td>US MA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>US-MI</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>State</td>\n",
       "      <td>MI</td>\n",
       "      <td>US MI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>US-MN</td>\n",
       "      <td>Minnesota</td>\n",
       "      <td>State</td>\n",
       "      <td>MN</td>\n",
       "      <td>US MN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>US-MS</td>\n",
       "      <td>Mississippi</td>\n",
       "      <td>State</td>\n",
       "      <td>MS</td>\n",
       "      <td>US MS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>US-MO</td>\n",
       "      <td>Missouri</td>\n",
       "      <td>State</td>\n",
       "      <td>MO</td>\n",
       "      <td>US MO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>US-MT</td>\n",
       "      <td>Montana</td>\n",
       "      <td>State</td>\n",
       "      <td>MT</td>\n",
       "      <td>US MT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>US-NE</td>\n",
       "      <td>Nebraska</td>\n",
       "      <td>State</td>\n",
       "      <td>NE</td>\n",
       "      <td>US NE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>US-NV</td>\n",
       "      <td>Nevada</td>\n",
       "      <td>State</td>\n",
       "      <td>NV</td>\n",
       "      <td>US NV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>US-NH</td>\n",
       "      <td>New Hampshire</td>\n",
       "      <td>State</td>\n",
       "      <td>NH</td>\n",
       "      <td>US NH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>US-NJ</td>\n",
       "      <td>New Jersey</td>\n",
       "      <td>State</td>\n",
       "      <td>NJ</td>\n",
       "      <td>US NJ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>US-NM</td>\n",
       "      <td>New Mexico</td>\n",
       "      <td>State</td>\n",
       "      <td>NM</td>\n",
       "      <td>US NM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>US-NY</td>\n",
       "      <td>New York</td>\n",
       "      <td>State</td>\n",
       "      <td>NY</td>\n",
       "      <td>US NY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>US-NC</td>\n",
       "      <td>North Carolina</td>\n",
       "      <td>State</td>\n",
       "      <td>NC</td>\n",
       "      <td>US NC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>US-ND</td>\n",
       "      <td>North Dakota</td>\n",
       "      <td>State</td>\n",
       "      <td>ND</td>\n",
       "      <td>US ND</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>US-OH</td>\n",
       "      <td>Ohio</td>\n",
       "      <td>State</td>\n",
       "      <td>OH</td>\n",
       "      <td>US OH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>US-OK</td>\n",
       "      <td>Oklahoma</td>\n",
       "      <td>State</td>\n",
       "      <td>OK</td>\n",
       "      <td>US OK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>US-OR</td>\n",
       "      <td>Oregon</td>\n",
       "      <td>State</td>\n",
       "      <td>OR</td>\n",
       "      <td>US OR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>US-PA</td>\n",
       "      <td>Pennsylvania</td>\n",
       "      <td>State</td>\n",
       "      <td>PA</td>\n",
       "      <td>US PA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>US-RI</td>\n",
       "      <td>Rhode Island</td>\n",
       "      <td>State</td>\n",
       "      <td>RI</td>\n",
       "      <td>US RI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>US-SC</td>\n",
       "      <td>South Carolina</td>\n",
       "      <td>State</td>\n",
       "      <td>SC</td>\n",
       "      <td>US SC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>US-SD</td>\n",
       "      <td>South Dakota</td>\n",
       "      <td>State</td>\n",
       "      <td>SD</td>\n",
       "      <td>US SD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>US-TN</td>\n",
       "      <td>Tennessee</td>\n",
       "      <td>State</td>\n",
       "      <td>TN</td>\n",
       "      <td>US TN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>US-TX</td>\n",
       "      <td>Texas</td>\n",
       "      <td>State</td>\n",
       "      <td>TX</td>\n",
       "      <td>US TX</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>US-UT</td>\n",
       "      <td>Utah</td>\n",
       "      <td>State</td>\n",
       "      <td>UT</td>\n",
       "      <td>US UT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>US-VT</td>\n",
       "      <td>Vermont</td>\n",
       "      <td>State</td>\n",
       "      <td>VT</td>\n",
       "      <td>US VT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>US-VA</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>State</td>\n",
       "      <td>VA</td>\n",
       "      <td>US VA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>US-WA</td>\n",
       "      <td>Washington</td>\n",
       "      <td>State</td>\n",
       "      <td>WA</td>\n",
       "      <td>US WA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>US-WV</td>\n",
       "      <td>West Virginia</td>\n",
       "      <td>State</td>\n",
       "      <td>WV</td>\n",
       "      <td>US WV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>US-WI</td>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>State</td>\n",
       "      <td>WI</td>\n",
       "      <td>US WI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>US-WY</td>\n",
       "      <td>Wyoming</td>\n",
       "      <td>State</td>\n",
       "      <td>WY</td>\n",
       "      <td>US WY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>US-DC</td>\n",
       "      <td>District of Columbia</td>\n",
       "      <td>District</td>\n",
       "      <td>DC</td>\n",
       "      <td>US DC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>US-AS</td>\n",
       "      <td>American Samoa</td>\n",
       "      <td>Outlying area</td>\n",
       "      <td>AS</td>\n",
       "      <td>US AS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>US-GU</td>\n",
       "      <td>Guam</td>\n",
       "      <td>Outlying area</td>\n",
       "      <td>GU</td>\n",
       "      <td>US GU</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>US-MP</td>\n",
       "      <td>Northern Mariana Islands</td>\n",
       "      <td>Outlying area</td>\n",
       "      <td>MP</td>\n",
       "      <td>US MP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>US-PR</td>\n",
       "      <td>Puerto Rico</td>\n",
       "      <td>Outlying area</td>\n",
       "      <td>PR</td>\n",
       "      <td>US PR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>US-UM</td>\n",
       "      <td>United States Minor Outlying Islands</td>\n",
       "      <td>Outlying area</td>\n",
       "      <td>UM</td>\n",
       "      <td>US UM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>US-VI</td>\n",
       "      <td>Virgin Islands, U.S.</td>\n",
       "      <td>Outlying area</td>\n",
       "      <td>VI</td>\n",
       "      <td>US VI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>GB</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Country</td>\n",
       "      <td>UK</td>\n",
       "      <td>UK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>US</td>\n",
       "      <td>United States</td>\n",
       "      <td>Country</td>\n",
       "      <td>US</td>\n",
       "      <td>US</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Code                 Subdivision name (en) Subdivision category  \\\n",
       "0   US-AL                               Alabama                State   \n",
       "1   US-AK                                Alaska                State   \n",
       "2   US-AZ                               Arizona                State   \n",
       "3   US-AR                              Arkansas                State   \n",
       "4   US-CA                            California                State   \n",
       "5   US-CO                              Colorado                State   \n",
       "6   US-CT                           Connecticut                State   \n",
       "7   US-DE                              Delaware                State   \n",
       "8   US-FL                               Florida                State   \n",
       "9   US-GA                               Georgia                State   \n",
       "10  US-HI                                Hawaii                State   \n",
       "11  US-ID                                 Idaho                State   \n",
       "12  US-IL                              Illinois                State   \n",
       "13  US-IN                               Indiana                State   \n",
       "14  US-IA                                  Iowa                State   \n",
       "15  US-KS                                Kansas                State   \n",
       "16  US-KY                              Kentucky                State   \n",
       "17  US-LA                             Louisiana                State   \n",
       "18  US-ME                                 Maine                State   \n",
       "19  US-MD                              Maryland                State   \n",
       "20  US-MA                         Massachusetts                State   \n",
       "21  US-MI                              Michigan                State   \n",
       "22  US-MN                             Minnesota                State   \n",
       "23  US-MS                           Mississippi                State   \n",
       "24  US-MO                              Missouri                State   \n",
       "25  US-MT                               Montana                State   \n",
       "26  US-NE                              Nebraska                State   \n",
       "27  US-NV                                Nevada                State   \n",
       "28  US-NH                         New Hampshire                State   \n",
       "29  US-NJ                            New Jersey                State   \n",
       "30  US-NM                            New Mexico                State   \n",
       "31  US-NY                              New York                State   \n",
       "32  US-NC                        North Carolina                State   \n",
       "33  US-ND                          North Dakota                State   \n",
       "34  US-OH                                  Ohio                State   \n",
       "35  US-OK                              Oklahoma                State   \n",
       "36  US-OR                                Oregon                State   \n",
       "37  US-PA                          Pennsylvania                State   \n",
       "38  US-RI                          Rhode Island                State   \n",
       "39  US-SC                        South Carolina                State   \n",
       "40  US-SD                          South Dakota                State   \n",
       "41  US-TN                             Tennessee                State   \n",
       "42  US-TX                                 Texas                State   \n",
       "43  US-UT                                  Utah                State   \n",
       "44  US-VT                               Vermont                State   \n",
       "45  US-VA                              Virginia                State   \n",
       "46  US-WA                            Washington                State   \n",
       "47  US-WV                         West Virginia                State   \n",
       "48  US-WI                             Wisconsin                State   \n",
       "49  US-WY                               Wyoming                State   \n",
       "50  US-DC                  District of Columbia             District   \n",
       "51  US-AS                        American Samoa        Outlying area   \n",
       "52  US-GU                                  Guam        Outlying area   \n",
       "53  US-MP              Northern Mariana Islands        Outlying area   \n",
       "54  US-PR                           Puerto Rico        Outlying area   \n",
       "55  US-UM  United States Minor Outlying Islands        Outlying area   \n",
       "56  US-VI                  Virgin Islands, U.S.        Outlying area   \n",
       "57     GB                        United Kingdom              Country   \n",
       "58     US                         United States              Country   \n",
       "\n",
       "   clean_state code_spaced  \n",
       "0           AL       US AL  \n",
       "1           AK       US AK  \n",
       "2           AZ       US AZ  \n",
       "3           AR       US AR  \n",
       "4           CA       US CA  \n",
       "5           CO       US CO  \n",
       "6           CT       US CT  \n",
       "7           DE       US DE  \n",
       "8           FL       US FL  \n",
       "9           GA       US GA  \n",
       "10          HI       US HI  \n",
       "11          ID       US ID  \n",
       "12          IL       US IL  \n",
       "13          IN       US IN  \n",
       "14          IA       US IA  \n",
       "15          KS       US KS  \n",
       "16          KY       US KY  \n",
       "17          LA       US LA  \n",
       "18          ME       US ME  \n",
       "19          MD       US MD  \n",
       "20          MA       US MA  \n",
       "21          MI       US MI  \n",
       "22          MN       US MN  \n",
       "23          MS       US MS  \n",
       "24          MO       US MO  \n",
       "25          MT       US MT  \n",
       "26          NE       US NE  \n",
       "27          NV       US NV  \n",
       "28          NH       US NH  \n",
       "29          NJ       US NJ  \n",
       "30          NM       US NM  \n",
       "31          NY       US NY  \n",
       "32          NC       US NC  \n",
       "33          ND       US ND  \n",
       "34          OH       US OH  \n",
       "35          OK       US OK  \n",
       "36          OR       US OR  \n",
       "37          PA       US PA  \n",
       "38          RI       US RI  \n",
       "39          SC       US SC  \n",
       "40          SD       US SD  \n",
       "41          TN       US TN  \n",
       "42          TX       US TX  \n",
       "43          UT       US UT  \n",
       "44          VT       US VT  \n",
       "45          VA       US VA  \n",
       "46          WA       US WA  \n",
       "47          WV       US WV  \n",
       "48          WI       US WI  \n",
       "49          WY       US WY  \n",
       "50          DC       US DC  \n",
       "51          AS       US AS  \n",
       "52          GU       US GU  \n",
       "53          MP       US MP  \n",
       "54          PR       US PR  \n",
       "55          UM       US UM  \n",
       "56          VI       US VI  \n",
       "57          UK          UK  \n",
       "58          US          US  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "two_letter_codes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "76bde644-cbd1-4878-860c-8fcea6e9e68c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fname = \"https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/us-state-boundaries/exports/geojson?lang=en&timezone=Europe%2FLondon\"\n",
    "\n",
    "us_states_df = geopandas.read_file(fname)\n",
    "\n",
    "\n",
    "us_states_df.plot()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35bef7c6-a9c1-4e83-b84c-4e2e587ca8d5",
   "metadata": {},
   "source": [
    "hawaii showing on the right rather than on the left!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e62007b-d78a-47cf-b280-ff61f081d45c",
   "metadata": {},
   "source": [
    "### Add previous and common names to ISO list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "8235b6f8-2e4c-4e8b-835a-46ed33577e82",
   "metadata": {},
   "outputs": [],
   "source": [
    "sovereign_states['previous country name']=\\\n",
    "sovereign_states['Notes']\\\n",
    ".str.split(pat='Previous ISO country name: ',n=1,expand=True)[1]\\\n",
    ".str.split(pat='(',n=1,expand=True)[0]\\\n",
    ".str.split(pat=';',n=1,expand=True)[0]\\\n",
    ".str.split(pat='.',n=1,expand=True)[0].str.strip()\n",
    "\n",
    "#       if 'Previous ISO country name: ' in str(x) \\\n",
    "#       else None ) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "66c24264-d2f2-4fda-838e-3c72d6b987fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "sovereign_states['common name']=\\\n",
    "sovereign_states['Notes']\\\n",
    ".str.split(pat='common name: ',n=1,expand=True)[1]\\\n",
    ".str.split(pat=')',n=1,expand=True)[0].str.strip()\n",
    "       #if 'common name: ' in str(x) \\\n",
    "       #else None )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ce8da5d5-febb-4ce5-bfcd-8c2320563420",
   "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>Code</th>\n",
       "      <th>Country name (using title case)</th>\n",
       "      <th>Year</th>\n",
       "      <th>ccTLD</th>\n",
       "      <th>Notes</th>\n",
       "      <th>previous country name</th>\n",
       "      <th>common name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>BN</td>\n",
       "      <td>Brunei Darussalam</td>\n",
       "      <td>1974</td>\n",
       "      <td>.bn</td>\n",
       "      <td>Previous ISO country name: Brunei</td>\n",
       "      <td>Brunei</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>BO</td>\n",
       "      <td>Bolivia (Plurinational State of)</td>\n",
       "      <td>1974</td>\n",
       "      <td>.bo</td>\n",
       "      <td>Previous ISO country name: Bolivia</td>\n",
       "      <td>Bolivia</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>BQ</td>\n",
       "      <td>Bonaire, Sint Eustatius and Saba</td>\n",
       "      <td>2010</td>\n",
       "      <td>.bq</td>\n",
       "      <td>Consists of three Caribbean \"special municipal...</td>\n",
       "      <td>Bonaire, Saint Eustatius and Saba  BQ previous...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>CM</td>\n",
       "      <td>Cameroon</td>\n",
       "      <td>1974</td>\n",
       "      <td>.cm</td>\n",
       "      <td>Previous ISO country name: Cameroon, United Re...</td>\n",
       "      <td>Cameroon, United Republic of</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>CZ</td>\n",
       "      <td>Czechia</td>\n",
       "      <td>1993</td>\n",
       "      <td>.cz</td>\n",
       "      <td>Previous ISO country name: Czech Republic</td>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>EH</td>\n",
       "      <td>Western Sahara</td>\n",
       "      <td>1974</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Previous ISO country name: Spanish Sahara (cod...</td>\n",
       "      <td>Spanish Sahara</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>FM</td>\n",
       "      <td>Micronesia (Federated States of)</td>\n",
       "      <td>1986</td>\n",
       "      <td>.fm</td>\n",
       "      <td>Previous ISO country name: Micronesia</td>\n",
       "      <td>Micronesia</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>GB</td>\n",
       "      <td>United Kingdom of Great Britain and Northern I...</td>\n",
       "      <td>1974</td>\n",
       "      <td>.gb (.uk)</td>\n",
       "      <td>Includes Akrotiri and Dhekelia (Sovereign Base...</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>IR</td>\n",
       "      <td>Iran (Islamic Republic of)</td>\n",
       "      <td>1974</td>\n",
       "      <td>.ir</td>\n",
       "      <td>Previous ISO country name: Iran</td>\n",
       "      <td>Iran</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>KH</td>\n",
       "      <td>Cambodia</td>\n",
       "      <td>1974</td>\n",
       "      <td>.kh</td>\n",
       "      <td>Code taken from former name: Khmer Republic  P...</td>\n",
       "      <td>Kampuchea, Democratic</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>KM</td>\n",
       "      <td>Comoros</td>\n",
       "      <td>1974</td>\n",
       "      <td>.km</td>\n",
       "      <td>Code taken from name in Comorian: Komori Previ...</td>\n",
       "      <td>Comoro Islands</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>KN</td>\n",
       "      <td>Saint Kitts and Nevis</td>\n",
       "      <td>1974</td>\n",
       "      <td>.kn</td>\n",
       "      <td>Previous ISO country name: Saint Kitts-Nevis-A...</td>\n",
       "      <td>Saint Kitts-Nevis-Anguilla</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>KZ</td>\n",
       "      <td>Kazakhstan</td>\n",
       "      <td>1992</td>\n",
       "      <td>.kz</td>\n",
       "      <td>Previous ISO country name: Kazakstan</td>\n",
       "      <td>Kazakstan</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>LY</td>\n",
       "      <td>Libya</td>\n",
       "      <td>1974</td>\n",
       "      <td>.ly</td>\n",
       "      <td>Previous ISO country name: Libyan Arab Jamahiriya</td>\n",
       "      <td>Libyan Arab Jamahiriya</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>MD</td>\n",
       "      <td>Moldova, Republic of</td>\n",
       "      <td>1992</td>\n",
       "      <td>.md</td>\n",
       "      <td>Previous ISO country name: Moldova (briefly fr...</td>\n",
       "      <td>Moldova</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>MK</td>\n",
       "      <td>North Macedonia</td>\n",
       "      <td>1993</td>\n",
       "      <td>.mk</td>\n",
       "      <td>Code taken from name in Macedonian: Severna Ma...</td>\n",
       "      <td>Macedonia, the former Yugoslav Republic of</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>MO</td>\n",
       "      <td>Macao</td>\n",
       "      <td>1974</td>\n",
       "      <td>.mo</td>\n",
       "      <td>Previous ISO country name: Macau; Macao is off...</td>\n",
       "      <td>Macau</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>NU</td>\n",
       "      <td>Niue</td>\n",
       "      <td>1974</td>\n",
       "      <td>.nu</td>\n",
       "      <td>Previous ISO country name: Niue Island</td>\n",
       "      <td>Niue Island</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>PN</td>\n",
       "      <td>Pitcairn</td>\n",
       "      <td>1974</td>\n",
       "      <td>.pn</td>\n",
       "      <td>Previous ISO country name: Pitcairn Islands</td>\n",
       "      <td>Pitcairn Islands</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>PS</td>\n",
       "      <td>Palestine, State of</td>\n",
       "      <td>1999</td>\n",
       "      <td>.ps</td>\n",
       "      <td>Previous ISO country name: Palestinian Territo...</td>\n",
       "      <td>Palestinian Territory, Occupied  Consists of t...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>SH</td>\n",
       "      <td>Saint Helena, Ascension and Tristan da Cunha</td>\n",
       "      <td>1974</td>\n",
       "      <td>.sh</td>\n",
       "      <td>Previous ISO country name: Saint Helena.</td>\n",
       "      <td>Saint Helena</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>SR</td>\n",
       "      <td>Suriname</td>\n",
       "      <td>1974</td>\n",
       "      <td>.sr</td>\n",
       "      <td>Previous ISO country name: Surinam</td>\n",
       "      <td>Surinam</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>SZ</td>\n",
       "      <td>Eswatini</td>\n",
       "      <td>1974</td>\n",
       "      <td>.sz</td>\n",
       "      <td>Previous ISO country name: Swaziland</td>\n",
       "      <td>Swaziland</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>TK</td>\n",
       "      <td>Tokelau</td>\n",
       "      <td>1974</td>\n",
       "      <td>.tk</td>\n",
       "      <td>Previous ISO country name: Tokelau Islands</td>\n",
       "      <td>Tokelau Islands</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>TR</td>\n",
       "      <td>Türkiye</td>\n",
       "      <td>1974</td>\n",
       "      <td>.tr</td>\n",
       "      <td>Previous ISO country name: Turkey</td>\n",
       "      <td>Turkey</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>UA</td>\n",
       "      <td>Ukraine</td>\n",
       "      <td>1974</td>\n",
       "      <td>.ua</td>\n",
       "      <td>Previous ISO country name: Ukrainian SSR  Code...</td>\n",
       "      <td>Ukrainian SSR  Code assigned as the country wa...</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>US</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>1974</td>\n",
       "      <td>.us</td>\n",
       "      <td>Previous ISO country name: United States</td>\n",
       "      <td>United States</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>VE</td>\n",
       "      <td>Venezuela (Bolivarian Republic of)</td>\n",
       "      <td>1974</td>\n",
       "      <td>.ve</td>\n",
       "      <td>Previous ISO country name: Venezuela</td>\n",
       "      <td>Venezuela</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>WF</td>\n",
       "      <td>Wallis and Futuna</td>\n",
       "      <td>1974</td>\n",
       "      <td>.wf</td>\n",
       "      <td>Previous ISO country name: Wallis and Futuna I...</td>\n",
       "      <td>Wallis and Futuna Islands</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>YE</td>\n",
       "      <td>Yemen</td>\n",
       "      <td>1974</td>\n",
       "      <td>.ye</td>\n",
       "      <td>Previous ISO country name: Yemen, Republic of ...</td>\n",
       "      <td>Yemen, Republic of</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Code                    Country name (using title case)  Year      ccTLD  \\\n",
       "27    BN                                  Brunei Darussalam  1974        .bn   \n",
       "28    BO                   Bolivia (Plurinational State of)  1974        .bo   \n",
       "29    BQ                   Bonaire, Sint Eustatius and Saba  2010        .bq   \n",
       "46    CM                                           Cameroon  1974        .cm   \n",
       "55    CZ                                            Czechia  1993        .cz   \n",
       "65    EH                                     Western Sahara  1974        NaN   \n",
       "72    FM                   Micronesia (Federated States of)  1986        .fm   \n",
       "76    GB  United Kingdom of Great Britain and Northern I...  1974  .gb (.uk)   \n",
       "107   IR                         Iran (Islamic Republic of)  1974        .ir   \n",
       "116   KH                                           Cambodia  1974        .kh   \n",
       "118   KM                                            Comoros  1974        .km   \n",
       "119   KN                              Saint Kitts and Nevis  1974        .kn   \n",
       "124   KZ                                         Kazakhstan  1992        .kz   \n",
       "135   LY                                              Libya  1974        .ly   \n",
       "138   MD                               Moldova, Republic of  1992        .md   \n",
       "143   MK                                    North Macedonia  1993        .mk   \n",
       "147   MO                                              Macao  1974        .mo   \n",
       "169   NU                                               Niue  1974        .nu   \n",
       "180   PN                                           Pitcairn  1974        .pn   \n",
       "182   PS                                Palestine, State of  1999        .ps   \n",
       "198   SH       Saint Helena, Ascension and Tristan da Cunha  1974        .sh   \n",
       "206   SR                                           Suriname  1974        .sr   \n",
       "212   SZ                                           Eswatini  1974        .sz   \n",
       "219   TK                                            Tokelau  1974        .tk   \n",
       "224   TR                                            Türkiye  1974        .tr   \n",
       "229   UA                                            Ukraine  1974        .ua   \n",
       "232   US                           United States of America  1974        .us   \n",
       "237   VE                 Venezuela (Bolivarian Republic of)  1974        .ve   \n",
       "242   WF                                  Wallis and Futuna  1974        .wf   \n",
       "244   YE                                              Yemen  1974        .ye   \n",
       "\n",
       "                                                 Notes  \\\n",
       "27                   Previous ISO country name: Brunei   \n",
       "28                  Previous ISO country name: Bolivia   \n",
       "29   Consists of three Caribbean \"special municipal...   \n",
       "46   Previous ISO country name: Cameroon, United Re...   \n",
       "55           Previous ISO country name: Czech Republic   \n",
       "65   Previous ISO country name: Spanish Sahara (cod...   \n",
       "72               Previous ISO country name: Micronesia   \n",
       "76   Includes Akrotiri and Dhekelia (Sovereign Base...   \n",
       "107                    Previous ISO country name: Iran   \n",
       "116  Code taken from former name: Khmer Republic  P...   \n",
       "118  Code taken from name in Comorian: Komori Previ...   \n",
       "119  Previous ISO country name: Saint Kitts-Nevis-A...   \n",
       "124               Previous ISO country name: Kazakstan   \n",
       "135  Previous ISO country name: Libyan Arab Jamahiriya   \n",
       "138  Previous ISO country name: Moldova (briefly fr...   \n",
       "143  Code taken from name in Macedonian: Severna Ma...   \n",
       "147  Previous ISO country name: Macau; Macao is off...   \n",
       "169             Previous ISO country name: Niue Island   \n",
       "180        Previous ISO country name: Pitcairn Islands   \n",
       "182  Previous ISO country name: Palestinian Territo...   \n",
       "198           Previous ISO country name: Saint Helena.   \n",
       "206                 Previous ISO country name: Surinam   \n",
       "212               Previous ISO country name: Swaziland   \n",
       "219         Previous ISO country name: Tokelau Islands   \n",
       "224                  Previous ISO country name: Turkey   \n",
       "229  Previous ISO country name: Ukrainian SSR  Code...   \n",
       "232           Previous ISO country name: United States   \n",
       "237               Previous ISO country name: Venezuela   \n",
       "242  Previous ISO country name: Wallis and Futuna I...   \n",
       "244  Previous ISO country name: Yemen, Republic of ...   \n",
       "\n",
       "                                 previous country name common name  \n",
       "27                                              Brunei        None  \n",
       "28                                             Bolivia        None  \n",
       "29   Bonaire, Saint Eustatius and Saba  BQ previous...        None  \n",
       "46                        Cameroon, United Republic of        None  \n",
       "55                                      Czech Republic        None  \n",
       "65                                      Spanish Sahara        None  \n",
       "72                                          Micronesia        None  \n",
       "76                                      United Kingdom        None  \n",
       "107                                               Iran        None  \n",
       "116                              Kampuchea, Democratic        None  \n",
       "118                                     Comoro Islands        None  \n",
       "119                         Saint Kitts-Nevis-Anguilla        None  \n",
       "124                                          Kazakstan        None  \n",
       "135                             Libyan Arab Jamahiriya        None  \n",
       "138                                            Moldova        None  \n",
       "143         Macedonia, the former Yugoslav Republic of        None  \n",
       "147                                              Macau        None  \n",
       "169                                        Niue Island        None  \n",
       "180                                   Pitcairn Islands        None  \n",
       "182  Palestinian Territory, Occupied  Consists of t...        None  \n",
       "198                                       Saint Helena        None  \n",
       "206                                            Surinam        None  \n",
       "212                                          Swaziland        None  \n",
       "219                                    Tokelau Islands        None  \n",
       "224                                             Turkey        None  \n",
       "229  Ukrainian SSR  Code assigned as the country wa...        None  \n",
       "232                                      United States        None  \n",
       "237                                          Venezuela        None  \n",
       "242                          Wallis and Futuna Islands        None  \n",
       "244                                 Yemen, Republic of        None  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sovereign_states[sovereign_states['previous country name'].notna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7d577b90-8765-4b6b-93b8-f4709a56fea7",
   "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>Code</th>\n",
       "      <th>Country name (using title case)</th>\n",
       "      <th>Year</th>\n",
       "      <th>ccTLD</th>\n",
       "      <th>Notes</th>\n",
       "      <th>previous country name</th>\n",
       "      <th>common name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>FK</td>\n",
       "      <td>Falkland Islands (Malvinas)</td>\n",
       "      <td>1974</td>\n",
       "      <td>.fk</td>\n",
       "      <td>ISO country name follows UN designation due to...</td>\n",
       "      <td>None</td>\n",
       "      <td>Falkland Islands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>KP</td>\n",
       "      <td>Korea (Democratic People's Republic of)</td>\n",
       "      <td>1974</td>\n",
       "      <td>.kp</td>\n",
       "      <td>ISO country name follows UN designation (commo...</td>\n",
       "      <td>None</td>\n",
       "      <td>North Korea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>KR</td>\n",
       "      <td>Korea, Republic of</td>\n",
       "      <td>1974</td>\n",
       "      <td>.kr</td>\n",
       "      <td>ISO country name follows UN designation (commo...</td>\n",
       "      <td>None</td>\n",
       "      <td>South Korea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>RU</td>\n",
       "      <td>Russian Federation</td>\n",
       "      <td>1992</td>\n",
       "      <td>.ru</td>\n",
       "      <td>ISO country name follows UN designation (commo...</td>\n",
       "      <td>None</td>\n",
       "      <td>Russia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>TW</td>\n",
       "      <td>Taiwan, Province of China</td>\n",
       "      <td>1974</td>\n",
       "      <td>.tw</td>\n",
       "      <td>Covers the current jurisdiction of the Republi...</td>\n",
       "      <td>None</td>\n",
       "      <td>Taiwan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>VN</td>\n",
       "      <td>Viet Nam</td>\n",
       "      <td>1974</td>\n",
       "      <td>.vn</td>\n",
       "      <td>ISO country name follows UN designation (commo...</td>\n",
       "      <td>None</td>\n",
       "      <td>Vietnam</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Code          Country name (using title case)  Year ccTLD  \\\n",
       "71    FK              Falkland Islands (Malvinas)  1974   .fk   \n",
       "120   KP  Korea (Democratic People's Republic of)  1974   .kp   \n",
       "121   KR                       Korea, Republic of  1974   .kr   \n",
       "190   RU                       Russian Federation  1992   .ru   \n",
       "227   TW                Taiwan, Province of China  1974   .tw   \n",
       "240   VN                                 Viet Nam  1974   .vn   \n",
       "\n",
       "                                                 Notes previous country name  \\\n",
       "71   ISO country name follows UN designation due to...                  None   \n",
       "120  ISO country name follows UN designation (commo...                  None   \n",
       "121  ISO country name follows UN designation (commo...                  None   \n",
       "190  ISO country name follows UN designation (commo...                  None   \n",
       "227  Covers the current jurisdiction of the Republi...                  None   \n",
       "240  ISO country name follows UN designation (commo...                  None   \n",
       "\n",
       "          common name  \n",
       "71   Falkland Islands  \n",
       "120       North Korea  \n",
       "121       South Korea  \n",
       "190            Russia  \n",
       "227            Taiwan  \n",
       "240           Vietnam  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sovereign_states[sovereign_states['common name'].notna()]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b05b6040-45cf-46bb-a3f4-7d0dad88b410",
   "metadata": {},
   "source": [
    "### Clean up Location to get country/code "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "098d7fc4-2fdf-4c36-9e86-dbd8a49b243f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def token_search(x_string):\n",
    "    \"\"\" This is a function that matches a US state 2 letter code in the string and returns, or country name and returns, or previous country name and returns, or US state full name and returns\"\"\"\n",
    "    for x_element in x_string.split():\n",
    "        x_el_stripped=x_element.strip(',').strip(',')\n",
    "        if x_el_stripped in list(two_letter_codes['clean_state' ]) and x_string.upper != x_string:\n",
    "            return list(two_letter_codes[two_letter_codes['clean_state']==x_el_stripped]['code_spaced'].to_dict().values())[0]\n",
    "    for us_state in list(two_letter_codes['Subdivision name (en)']):\n",
    "        if us_state.upper() in x_string.upper().replace('&','AND'):\n",
    "            return  list(two_letter_codes[two_letter_codes['Subdivision name (en)']==us_state]['code_spaced'].to_dict().values())[0]\n",
    "    for sovereign_state in list(sovereign_states['Country name (using title case)']):\n",
    "        if sovereign_state.upper() in x_string.upper().replace('&','AND'):\n",
    "            return  list(sovereign_states[sovereign_states['Country name (using title case)']==sovereign_state]['Code'].to_dict().values())[0]\n",
    "    for sovereign_state in list(sovereign_states[sovereign_states['previous country name'].notna()]['previous country name']):\n",
    "        if sovereign_state.upper() in x_string.upper().replace('&','AND'):\n",
    "            return  list(sovereign_states[sovereign_states['previous country name']==sovereign_state]['Code'].to_dict().values())[0]\n",
    "    for sovereign_state in list(sovereign_states[sovereign_states['common name'].notna()]['common name']):\n",
    "        if sovereign_state.upper() in x_string.upper().replace('&','AND'):\n",
    "            return  list(sovereign_states[sovereign_states['common name']==sovereign_state]['Code'].to_dict().values())[0]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "276412a6-a9e5-4d99-9fb5-e48131427717",
   "metadata": {},
   "outputs": [],
   "source": [
    "gps_disruption_df['location_state_country']=(gps_disruption_df['Location']\n",
    " .str.split(pat=',',n=1,expand=True)[1]\n",
    " .combine_first(\n",
    "     gps_disruption_df['Location']\n",
    "     .str.split(pat=',',n=1,expand=True)[0]\n",
    " )\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "c58476ae-77ed-4c39-bf67-a5809e30cd7d",
   "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>Location</th>\n",
       "      <th>location_state_country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>JAZIRAT JABAL ZUQAR</td>\n",
       "      <td>JAZIRAT JABAL ZUQAR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sparta, Georgia</td>\n",
       "      <td>Georgia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Annapolis, MD</td>\n",
       "      <td>MD</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Perris, CA</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Constanta, Romania</td>\n",
       "      <td>Romania</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Chile</td>\n",
       "      <td>Chile</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>San Angelo Airport</td>\n",
       "      <td>San Angelo Airport</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>North Carolina - South Carolina border</td>\n",
       "      <td>North Carolina - South Carolina border</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>Elizabeth, NJ</td>\n",
       "      <td>NJ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>Rennes, France</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>459 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   Location  \\\n",
       "0                       JAZIRAT JABAL ZUQAR   \n",
       "1                           Sparta, Georgia   \n",
       "2                             Annapolis, MD   \n",
       "3                                Perris, CA   \n",
       "4                        Constanta, Romania   \n",
       "..                                      ...   \n",
       "454                                   Chile   \n",
       "455                      San Angelo Airport   \n",
       "456  North Carolina - South Carolina border   \n",
       "457                           Elizabeth, NJ   \n",
       "458                          Rennes, France   \n",
       "\n",
       "                     location_state_country  \n",
       "0                       JAZIRAT JABAL ZUQAR  \n",
       "1                                   Georgia  \n",
       "2                                        MD  \n",
       "3                                        CA  \n",
       "4                                   Romania  \n",
       "..                                      ...  \n",
       "454                                   Chile  \n",
       "455                      San Angelo Airport  \n",
       "456  North Carolina - South Carolina border  \n",
       "457                                      NJ  \n",
       "458                                  France  \n",
       "\n",
       "[459 rows x 2 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gps_disruption_df[['Location','location_state_country']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "084c35bf-1185-40da-abc0-fe04682f0ae6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='location_state_country'>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x2500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gps_disruption_counted=(gps_disruption_df[gps_disruption_df['location_state_country'].notna()]\n",
    "                        .groupby('location_state_country')\n",
    "                        .count()['Disruption Date/Time']\n",
    "                        \n",
    "                        .sort_values()\n",
    "                       )\n",
    "gps_disruption_counted[gps_disruption_counted>1].plot(kind='barh',figsize=[12,25])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c69f643-6a9f-4e97-9f5d-9ea2383c3089",
   "metadata": {},
   "source": [
    "### Analyse per country, US state"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "3e2e1d4f-7fe4-4ce3-9b9f-a911e7717182",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{441: 'User: Several systems, across all of our assets at sea, all affected NAVCEN: The GPS Operations Center reviewed the GPS Constellation and Control Segment, there are no known anomalies that might affect GPS signal integrity at the time and vicinity of the reported outage. Space Weather was reviewed and found unlikely to have impacted GPS performance. No correlating reports from other users or interagency partners. Authorized GPS testing was scheduled within 200 miles of the reported location and may have impacted GPS performance.'}"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gps_disruption_df[gps_disruption_df['Location']=='Channel Islands, CA']['Description'].to_dict()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc32b913-1edc-4480-a7b0-e575f1326c17",
   "metadata": {},
   "source": [
    "There is such a thing as https://en.wikipedia.org/wiki/Channel_Islands_(California)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67795277-5383-416f-9fa2-c7fb4d51a3b4",
   "metadata": {},
   "source": [
    "### No Unmatched locations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "3137eb12-6ce5-44e6-9a2b-5942d3d41e1b",
   "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>local_date</th>\n",
       "      <th>Location</th>\n",
       "      <th>Description</th>\n",
       "      <th>Cause</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>2021-07-28</td>\n",
       "      <td>At sea</td>\n",
       "      <td>USER: The vessel was sailing towards port said...</td>\n",
       "      <td>Unknown Interference</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>2021-01-16</td>\n",
       "      <td>Global</td>\n",
       "      <td>CNES has detected a repetition of IODE for PRN...</td>\n",
       "      <td>IODC_10-Bit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>2020-08-04</td>\n",
       "      <td>Global</td>\n",
       "      <td>User: CNES (Centre National d Etudes Spatiales...</td>\n",
       "      <td>ICD_Violation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>Worldwide</td>\n",
       "      <td>User: In February 2020 (Feb 12th, 13th, 15th a...</td>\n",
       "      <td>ICD_Violation</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>2019-02-01</td>\n",
       "      <td>Global</td>\n",
       "      <td>User: Thanks to Navigation and Timing Monitori...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>2017-11-30</td>\n",
       "      <td>Global</td>\n",
       "      <td>User: GPS PRN22 orbit error started to wander ...</td>\n",
       "      <td>User Equipment</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>2017-09-20</td>\n",
       "      <td>Worldwide</td>\n",
       "      <td>User: It appears that the Subframe-2 IODC mess...</td>\n",
       "      <td>User Equipment</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    local_date   Location                                        Description  \\\n",
       "131 2021-07-28     At sea  USER: The vessel was sailing towards port said...   \n",
       "178 2021-01-16     Global  CNES has detected a repetition of IODE for PRN...   \n",
       "209 2020-08-04     Global  User: CNES (Centre National d Etudes Spatiales...   \n",
       "235 2020-02-12  Worldwide  User: In February 2020 (Feb 12th, 13th, 15th a...   \n",
       "326 2019-02-01     Global  User: Thanks to Navigation and Timing Monitori...   \n",
       "396 2017-11-30     Global  User: GPS PRN22 orbit error started to wander ...   \n",
       "412 2017-09-20  Worldwide  User: It appears that the Subframe-2 IODC mess...   \n",
       "\n",
       "                    Cause  \n",
       "131  Unknown Interference  \n",
       "178           IODC_10-Bit  \n",
       "209         ICD_Violation  \n",
       "235         ICD_Violation  \n",
       "326                   NaN  \n",
       "396        User Equipment  \n",
       "412        User Equipment  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gps_disruption_df.query('Location in (\"Worldwide\",\"Global\",\"At sea\")')[['local_date','Location','Description','Cause']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "e60fbd6a-c266-4b9a-acc6-1835beeb01e2",
   "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>Description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>At roughly 8:45 PM CST lost GPS Sync to variou...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>User: Observation of GPS NANU times in relatio...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           Description\n",
       "317  At roughly 8:45 PM CST lost GPS Sync to variou...\n",
       "327  User: Observation of GPS NANU times in relatio..."
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gps_disruption_df.query('Location==\"United States\"')[['Description']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "38f471ac-67cc-4b0b-9c77-7f4e9d0be4e7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "At roughly 8:45 PM CST lost GPS Sync to various cell sites around the US. The common GPS is trend is dual cones feeding sync to UMTS and LTE technologies. To mitigate the issue Field Technicians have removed one of the GPS cones and have a master sync from LTE feeding UMTS. There was no back office or architectural changes to our network during this time that would have caused this failure. We are curious if there were any changes made in preparation of the GPS System rollover slated for tomorrow April 6th that may have affected the base stations to lose sync. NAVCEN: The U.S. Air Force points to Interface Specification IS-GPS-200, paragraph 20.3.3.5.2.2, Almanac Reference Time, which states: \"The almanac reference time, t(oa), is some some multiple of 2(12) seconds occurring approximately 70 hours after the first valid transmission time for this almanac data set (reference 20.3.4.5). The almanac is updated often enough to ensure that GPS time, t, shall differ from t(oa) by less than 3.5 days during the transmission period.\" They go on to point out \"For this reason, beginning late on JDay 094 [April 4th], the GPS constellation began, one satellite at a time, broadcasting almanacs with almanac reference times which, when un-truncated as necessary, translate(d) to a calendar date of 7 April 2019 (after the associated 1024-week rollover), correctly, and IAW IS-GPS-200.\" As the GPS Week Number Rollover may have been a factor, user encouraged to contact their equipment manufacturer for assistance. User did not respond to requests for additional information.\n",
      "User: Observation of GPS NANU times in relation to the time satellites are set to unhealthy do not match past NANUs and satellite status. What time should be used? The time listed in the NANU, or the time the satellite was set unhealthy? NAVCEN: The GPS Operations Center provided the following response: In reference to your question, no maintenance activities were initiated prior to the SVs being set UNHEALTHY. Moving forward, the GPS Master Control Station will work to ensure the NANU more closely tracks the exact time the SVs are set UNHEALTHY to avoid misconceptions. Again, thank you for bringing this matter to our attention.\n"
     ]
    }
   ],
   "source": [
    "for description_str in gps_disruption_df.query('Location==\"United States\"')['Description']:\n",
    "    print(description_str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "8f8f2049-599f-49f8-928e-c24a1cab5496",
   "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>Description</th>\n",
       "      <th>matched_user_country_state</th>\n",
       "      <th>NAVCEN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>User indicated an intermittent problem that wa...</td>\n",
       "      <td>None</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>USER: roughly 12 hours of gps spoofing upon de...</td>\n",
       "      <td>EG</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>Lost GPS signal for six-minutes from 1620 GMT ...</td>\n",
       "      <td>None</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>GPS jamming begins, affecting both GPS units. ...</td>\n",
       "      <td>None</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>User: Additional vessel in area were experienc...</td>\n",
       "      <td>None</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>User: Intermittent GPS signal beginning at 013...</td>\n",
       "      <td>None</td>\n",
       "      <td>: The GPS Operations Center reviewed the GPS C...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           Description  \\\n",
       "150  User indicated an intermittent problem that wa...   \n",
       "160  USER: roughly 12 hours of gps spoofing upon de...   \n",
       "163  Lost GPS signal for six-minutes from 1620 GMT ...   \n",
       "164  GPS jamming begins, affecting both GPS units. ...   \n",
       "192  User: Additional vessel in area were experienc...   \n",
       "194  User: Intermittent GPS signal beginning at 013...   \n",
       "\n",
       "    matched_user_country_state  \\\n",
       "150                       None   \n",
       "160                         EG   \n",
       "163                       None   \n",
       "164                       None   \n",
       "192                       None   \n",
       "194                       None   \n",
       "\n",
       "                                                NAVCEN  \n",
       "150  : The GPS Operations Center reviewed the GPS C...  \n",
       "160  : The GPS Operations Center reviewed the GPS C...  \n",
       "163  : The GPS Operations Center reviewed the GPS C...  \n",
       "164  : The GPS Operations Center reviewed the GPS C...  \n",
       "192  : The GPS Operations Center reviewed the GPS C...  \n",
       "194  : The GPS Operations Center reviewed the GPS C...  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gps_disruption_df.query('Location in (\"Mediterranean Sea\",\"Eastern Mediterranean\",\"East Mediterranean Sea\")')\\\n",
    "[['Description','matched_user_country_state','NAVCEN']]#'matched_location_country_state',"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "fdea7156-6773-4a64-830f-8f5569d31479",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "User indicated an intermittent problem that was otherwise unspecified. NAVCEN: The GPS Operations Center reviewed the GPS Constellation and Control Segment, there are no known anomalies that might affect GPS signal integrity at the time and vicinity of the reported problem. Space weather was reviewed and found unlikely to have impacted GPS performance. There were no authorized GPS tests in the area. No correlating reports from interagency partners. The report of interference is similar to that outlined by U.S. Maritime Administration in Maritime Advisory 2021-004-Various GPS Interference. User encouraged to report the issue to the nearest communication authority.\n",
      "USER: roughly 12 hours of gps spoofing upon departure from port Said Egypt. GPS signal rapidly shifted numerous times, position 6-8 miles off. Position dropped for 90 percent of the 12 hours. GPS aboard connected to ECDIS, RADAR,AIS, GYRO repeater panel, GMDSS suite. NAVCEN: The GPS Operations Center reviewed the GPS Constellation and Control Segment, there are no known anomalies that might affect GPS signal integrity at the time and vicinity of the reported problem. Space weather was reviewed and found unlikely to have impacted GPS performance. There were no authorized GPS tests in the area. No correlating reports from interagency partners. The report of interference is similar to that outlined by U.S. Maritime Administration in Maritime Advisory 2021-004-Various GPS Interference. User encouraged to report the issue to the nearest communication authority.\n",
      "Lost GPS signal for six-minutes from 1620 GMT to 1626 GMT. NAVCEN: The GPS Operations Center reviewed the GPS Constellation and Control Segment, there are no known anomalies that might affect GPS signal integrity at the time and vicinity of the reported problem. Space weather was reviewed and found unlikely to have impacted GPS performance. There were no authorized GPS tests in the area. No correlating reports from interagency partners. The report of interference is similar to that outlined by U.S. Maritime Administration in Maritime Advisory 2021-004-Various GPS Interference. User encouraged to report the issue to the nearest communication authority.\n",
      "GPS jamming begins, affecting both GPS units. Our position was @ 36-06N, 016-58E, and we were on a course of 100 T, with a speed of 17.8 kts. The GPS receivers had @ 8 satellites in view, but the Signal to Noise Ratio (SNR) of all satellites changed continuously from 0 to less than 30 for all satellites. Both GPS receivers were alarming, indicating a “loss of signal.” I switched GPS #2 to primary, because it also receives position data from GLONASS. This allowed our ECDIS to continue to function. The jamming was solid for 8 minutes. . NAVCEN: The GPS Operations Center reviewed the GPS Constellation and Control Segment, there are no known anomalies that might affect GPS signal integrity at the time and vicinity of the reported problem. Space weather was reviewed and found unlikely to have impacted GPS performance. There were no authorized GPS tests in the area. No correlating reports from interagency partners. The report of interference is similar to that outlined by U.S. Maritime Administration in Maritime Advisory 2021-004-Various GPS Interference. User encouraged to report the issue to the nearest communication authority.\n",
      "User: Additional vessel in area were experiencing similar GPS failures. NAVCEN: The GPS Operations Center reviewed the GPS Constellation and Control Segment, there are no known anomalies that might affect GPS signal integrity at the time and vicinity of the reported problem. Space weather was reviewed and found unlikely to have impacted GPS performance. There were no authorized GPS tests in the area. No correlating reports from interagency partners. The report of interference is similar to that outlined by U.S. Maritime Administration in Maritime Advisory 2020-016-Various GPS Interference. User encouraged to report the issue to the nearest communication authority.\n",
      "User: Intermittent GPS signal beginning at 0130Z which lasted for approx. 1-hour. Occurred again at 1030Z posn 35-20N 18-43E, and 1325Z posn 35-35N 17-40E for 15 minutes respectively. NAVCEN: The GPS Operations Center reviewed the GPS Constellation and Control Segment, there are no known anomalies that might affect GPS signal integrity at the time and vicinity of the reported problem. Space weather was reviewed and found unlikely to have impacted GPS performance. There were no authorized GPS tests in the area. No correlating reports from interagency partners. The report of interference is similar to that outlined by U.S. Maritime Administration in Maritime Advisory 2020-016-Various GPS Interference. User encouraged to report the issue to the nearest communication authority.\n"
     ]
    }
   ],
   "source": [
    "for description_str in gps_disruption_df.query('Location in (\"Mediterranean Sea\",\"Eastern Mediterranean\",\"East Mediterranean Sea\")')\\\n",
    "['Description']:\n",
    "    print(description_str)\n",
    "    #still not picking port said egypt here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "5863e580-874f-437e-9389-a57b4177e62b",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "bad operand type for unary ~: 'float'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[48], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m gps_disruption_df[ \u001b[38;5;241;43m~\u001b[39;49m\u001b[43mgps_disruption_df\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mCause\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcontains\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mInterference\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m]\\\n\u001b[1;32m      2\u001b[0m \u001b[38;5;241m.\u001b[39mgroupby(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmatched_user_country_state\u001b[39m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;241m.\u001b[39mcount()[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mDisruption Date/Time\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39msort_values()\\\n\u001b[1;32m      3\u001b[0m \u001b[38;5;241m.\u001b[39mplot(kind\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbarh\u001b[39m\u001b[38;5;124m'\u001b[39m,figsize\u001b[38;5;241m=\u001b[39m[\u001b[38;5;241m12\u001b[39m,\u001b[38;5;241m19\u001b[39m],title\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mEntries not about interference\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/generic.py:1461\u001b[0m, in \u001b[0;36mNDFrame.__invert__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1457\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msize:\n\u001b[1;32m   1458\u001b[0m     \u001b[38;5;66;03m# inv fails with 0 len\u001b[39;00m\n\u001b[1;32m   1459\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcopy(deep\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[0;32m-> 1461\u001b[0m new_data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_mgr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply\u001b[49m\u001b[43m(\u001b[49m\u001b[43moperator\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minvert\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1462\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_constructor(new_data)\u001b[38;5;241m.\u001b[39m__finalize__(\u001b[38;5;28mself\u001b[39m, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m__invert__\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/internals/managers.py:350\u001b[0m, in \u001b[0;36mBaseBlockManager.apply\u001b[0;34m(self, f, align_keys, **kwargs)\u001b[0m\n\u001b[1;32m    347\u001b[0m             kwargs[k] \u001b[38;5;241m=\u001b[39m obj[b\u001b[38;5;241m.\u001b[39mmgr_locs\u001b[38;5;241m.\u001b[39mindexer]\n\u001b[1;32m    349\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mcallable\u001b[39m(f):\n\u001b[0;32m--> 350\u001b[0m     applied \u001b[38;5;241m=\u001b[39m \u001b[43mb\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    351\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    352\u001b[0m     applied \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(b, f)(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/pandas/core/internals/blocks.py:329\u001b[0m, in \u001b[0;36mBlock.apply\u001b[0;34m(self, func, **kwargs)\u001b[0m\n\u001b[1;32m    323\u001b[0m \u001b[38;5;129m@final\u001b[39m\n\u001b[1;32m    324\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mapply\u001b[39m(\u001b[38;5;28mself\u001b[39m, func, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mlist\u001b[39m[Block]:\n\u001b[1;32m    325\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    326\u001b[0m \u001b[38;5;124;03m    apply the function to my values; return a block if we are not\u001b[39;00m\n\u001b[1;32m    327\u001b[0m \u001b[38;5;124;03m    one\u001b[39;00m\n\u001b[1;32m    328\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 329\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    331\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_split_op_result(result)\n",
      "\u001b[0;31mTypeError\u001b[0m: bad operand type for unary ~: 'float'"
     ]
    }
   ],
   "source": [
    "gps_disruption_df[gps_disruption_df['matched_user_country_state'].notna() & ~gps_disruption_df['Cause'].str.contains('Interference')]\\\n",
    ".groupby('matched_user_country_state').count()['Disruption Date/Time'].sort_values()\\\n",
    ".plot(kind='barh',figsize=[12,19],title='Entries not about interference')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aceda10b-6138-4d59-bf2f-ef03968f00d9",
   "metadata": {},
   "source": [
    "Note the US dominating this list."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "5d929182-15e2-41e9-b315-2de434770745",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Entries about Interference'}, ylabel='location_state_country'>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x2900 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gps_disruption_df[gps_disruption_df['location_state_country'].notna() & gps_disruption_df['Cause'].str.contains('Interference')]\\\n",
    ".groupby('location_state_country').count()['Disruption Date/Time'].sort_values()\\\n",
    ".plot(kind='barh',figsize=[12,29],title='Entries about Interference')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa4ee345-57c1-4a5a-828a-4e7addee1435",
   "metadata": {},
   "source": [
    "US is still high in this list but the mediterranean countries form the other top cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "332a520e-314a-400a-a59f-3f920426ff1b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.10.8"
  },
  "toc-autonumbering": true,
  "vscode": {
   "interpreter": {
    "hash": "3ad933181bd8a04b432d3370b9dc3b0662ad032c4dfaa4e4f1596c548f763858"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}