{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "59d19f73",
   "metadata": {},
   "source": [
    "# Spark API - Global Route Cost Comparison\n",
    "\n",
    "This script compares route costs between global load and discharge ports. \n",
    "\n",
    "This script uses elements from our API code samples. If you'd like a more basic and informative example of how to pull data via the Spark API, please visit our Github or API website:\n",
    "\n",
    "- Github: https://github.com/spark-commodities/api-code-samples/blob/master/jupyter_notebooks/\n",
    "- API Website: https://www.sparkcommodities.com/api/code-examples/jupyter.html\n",
    "\n",
    "\n",
    "### Have any questions?\n",
    "\n",
    "If you have any questions regarding our API, or need help accessing specific datasets, please contact us at:\n",
    "\n",
    "__data@sparkcommodities.com__\n",
    "\n",
    "or refer to our API website for more information about this endpoint:\n",
    "https://www.sparkcommodities.com/api/request/routes.html\n",
    "\n",
    "__N.B. This script requires a Freight subscription__\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e00ae34",
   "metadata": {},
   "source": [
    "## 1. Importing Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "d9ea2c58",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import os\n",
    "import sys\n",
    "from base64 import b64encode\n",
    "from pprint import pprint\n",
    "from urllib.parse import urljoin\n",
    "\n",
    "\n",
    "try:\n",
    "    from urllib import request, parse\n",
    "    from urllib.error import HTTPError\n",
    "except ImportError:\n",
    "    raise RuntimeError(\"Python 3 required\")\n",
    "\n",
    "\n",
    "API_BASE_URL = \"https://api.sparkcommodities.com\"\n",
    "\n",
    "\n",
    "def retrieve_credentials(file_path=None):\n",
    "    \"\"\"\n",
    "    Find credentials either by reading the client_credentials file or reading\n",
    "    environment variables\n",
    "    \"\"\"\n",
    "    if file_path is None:\n",
    "\n",
    "        client_id = os.getenv(\"SPARK_CLIENT_ID\")\n",
    "        client_secret = os.getenv(\"SPARK_CLIENT_SECRET\")\n",
    "        if not client_id or not client_secret:\n",
    "            raise RuntimeError(\n",
    "                \"SPARK_CLIENT_ID and SPARK_CLIENT_SECRET environment vars required\"\n",
    "            )\n",
    "    else:\n",
    "        # Parse the file\n",
    "        if not os.path.isfile(file_path):\n",
    "            raise RuntimeError(\"The file {} doesn't exist\".format(file_path))\n",
    "\n",
    "        with open(file_path) as fp:\n",
    "            lines = [l.replace(\"\\n\", \"\") for l in fp.readlines()]\n",
    "\n",
    "        if lines[0] in (\"clientId,clientSecret\", \"client_id,client_secret\"):\n",
    "            client_id, client_secret = lines[1].split(\",\")\n",
    "        else:\n",
    "            print(\"First line read: '{}'\".format(lines[0]))\n",
    "            raise RuntimeError(\n",
    "                \"The specified file {} doesn't look like to be a Spark API client \"\n",
    "                \"credentials file\".format(file_path)\n",
    "            )\n",
    "\n",
    "    print(\">>>> Found credentials!\")\n",
    "    print(\n",
    "        \">>>> Client_id={}, client_secret={}****\".format(client_id, client_secret[:5])\n",
    "    )\n",
    "\n",
    "    return client_id, client_secret\n",
    "\n",
    "\n",
    "def do_api_post_query(uri, body, headers):\n",
    "    url = urljoin(API_BASE_URL, uri)\n",
    "\n",
    "    data = json.dumps(body).encode(\"utf-8\")\n",
    "\n",
    "    # HTTP POST request\n",
    "    req = request.Request(url, data=data, headers=headers)\n",
    "    try:\n",
    "        response = request.urlopen(req)\n",
    "    except HTTPError as e:\n",
    "        print(\"HTTP Error: \", e.code)\n",
    "        print(e.read())\n",
    "        sys.exit(1)\n",
    "\n",
    "    resp_content = response.read()\n",
    "\n",
    "    # The server must return HTTP 201. Raise an error if this is not the case\n",
    "    assert response.status == 201, resp_content\n",
    "\n",
    "    # The server returned a JSON response\n",
    "    content = json.loads(resp_content)\n",
    "\n",
    "    return content\n",
    "\n",
    "\n",
    "def do_api_get_query(uri, access_token):\n",
    "    url = urljoin(API_BASE_URL, uri)\n",
    "\n",
    "    headers = {\n",
    "        \"Authorization\": \"Bearer {}\".format(access_token),\n",
    "        \"Accept\": \"application/json\",\n",
    "    }\n",
    "\n",
    "    # HTTP POST request\n",
    "    req = request.Request(url, headers=headers)\n",
    "    try:\n",
    "        response = request.urlopen(req)\n",
    "    except HTTPError as e:\n",
    "        print(\"HTTP Error: \", e.code)\n",
    "        print(e.read())\n",
    "        sys.exit(1)\n",
    "\n",
    "    resp_content = response.read()\n",
    "\n",
    "    # The server must return HTTP 201. Raise an error if this is not the case\n",
    "    assert response.status == 200, resp_content\n",
    "\n",
    "    # The server returned a JSON response\n",
    "    content = json.loads(resp_content)\n",
    "\n",
    "    return content\n",
    "\n",
    "\n",
    "def get_access_token(client_id, client_secret):\n",
    "    \"\"\"\n",
    "    Get a new access_token. Access tokens are the thing that applications use to make\n",
    "    API requests. Access tokens must be kept confidential in storage.\n",
    "\n",
    "    # Procedure:\n",
    "\n",
    "    Do a POST query with `grantType` and `scopes` in the body. A basic authorization\n",
    "    HTTP header is required. The \"Basic\" HTTP authentication scheme is defined in\n",
    "    RFC 7617, which transmits credentials as `clientId:clientSecret` pairs, encoded\n",
    "    using base64.\n",
    "    \"\"\"\n",
    "\n",
    "    # Note: for the sake of this example, we choose to use the Python urllib from the\n",
    "    # standard lib. One should consider using https://requests.readthedocs.io/\n",
    "\n",
    "    payload = \"{}:{}\".format(client_id, client_secret).encode()\n",
    "    headers = {\n",
    "        \"Authorization\": b64encode(payload).decode(),\n",
    "        \"Accept\": \"application/json\",\n",
    "        \"Content-Type\": \"application/json\",\n",
    "    }\n",
    "    body = {\n",
    "        \"grantType\": \"clientCredentials\",\n",
    "        \"scopes\": \"read:lng-freight-prices,read:routes\",\n",
    "    }\n",
    "\n",
    "    content = do_api_post_query(uri=\"/oauth/token/\", body=body, headers=headers)\n",
    "\n",
    "    print(\n",
    "        \">>>> Successfully fetched an access token {}****, valid {} seconds.\".format(\n",
    "            content[\"accessToken\"][:5], content[\"expiresIn\"]\n",
    "        )\n",
    "    )\n",
    "\n",
    "    return content[\"accessToken\"]\n",
    "\n",
    "\n",
    "def list_routes(access_token):\n",
    "    \"\"\"\n",
    "    Fetch available routes. Return contract ticker symbols\n",
    "\n",
    "    # Procedure:\n",
    "\n",
    "    Do a GET query to /v1.0/routes/ with a Bearer token authorization HTTP header.\n",
    "    \"\"\"\n",
    "    content = do_api_get_query(uri=\"/v1.0/routes/\", access_token=access_token)\n",
    "\n",
    "    print(\">>>> All the routes you can fetch\")\n",
    "    tickers = []\n",
    "    for contract in content[\"data\"]['routes']:\n",
    "        tickers.append(contract[\"uuid\"])\n",
    "    \n",
    "    reldates = content[\"data\"]['sparkReleaseDates']\n",
    "    \n",
    "    dicto1 = content[\"data\"]\n",
    "        \n",
    "    return tickers, reldates, dicto1\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e890e9e",
   "metadata": {},
   "source": [
    "## N.B. Credentials\n",
    "\n",
    "Here we call the above functions, and input the file path to our credentials.\n",
    "\n",
    "N.B. You must have downloaded your client credentials CSV file before proceeding. Please refer to the API documentation if you have not dowloaded them already."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "51b8a89c",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ">>>> Found credentials!\n",
      ">>>> Client_id=01c23590-ef6c-4a36-8237-c89c3f1a3b2a, client_secret=80763****\n",
      ">>>> Successfully fetched an access token eyJhb****, valid 604799 seconds.\n",
      "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ0eXBlIjoiYWNjZXNzVG9rZW4iLCJzdWIiOiIwMWMyMzU5MC1lZjZjLTRhMzYtODIzNy1jODljM2YxYTNiMmEiLCJzdWJUeXBlIjoib2F1dGgtY2xpZW50IiwiZXhwIjoxNzUzODg0MzE0LCJoYXNoZWRTZWNyZXQiOiJwYmtkZjJfc2hhMjU2JDYwMDAwMCRoTXRMNDlrMUZUaVVzTE42Njlqc2pPJHVCSXNxcml5b1NHVzJTS1AvaHVLNHh3eTZ4d3VDN001aUdGRm43N2l4S1U9Iiwib3JnVXVpZCI6IjQ5MzhiMGJiLTVmMjctNDE2NC04OTM4LTUyNTdmYmQzNTNmZiIsInNjb3BlcyI6WyJyZWFkOnJvdXRlcyIsInJlYWQ6cHJpY2VzIl0sImNsaWVudFR5cGUiOiJvYXV0aC1jbGllbnQifQ.mon-8SnhhSOeReXDGbtIkccarDjIYpn7eJ5K4RaVWXg\n",
      ">>>> All the routes you can fetch\n"
     ]
    }
   ],
   "source": [
    "# Insert file path to your client credentials here\n",
    "client_id, client_secret = retrieve_credentials(file_path=\"/tmp/client_credentials.csv\")\n",
    "\n",
    "# Authenticate:\n",
    "access_token = get_access_token(client_id, client_secret)\n",
    "print(access_token)\n",
    "\n",
    "# Fetch all contracts:\n",
    "tickers, reldates, dicto1 = list_routes(access_token)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0b82541",
   "metadata": {},
   "source": [
    "## Fetching Routes Reference Data\n",
    "\n",
    "Fetches information on all available routes and their associated tickers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "912d9c4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Fetching all routes \n",
    "\n",
    "def fetch_route_data(access_token, ticker, release, congestion=None):\n",
    "    \"\"\"\n",
    "    For a route, fetch then display the route details\n",
    "\n",
    "    # Procedure:\n",
    "\n",
    "    Do GET queries to https://api.sparkcommodities.com/v1.0/routes/{route_uuid}/\n",
    "    with a Bearer token authorization HTTP header.\n",
    "    \"\"\"\n",
    "\n",
    "    query_params = \"?release-date={}\".format(release)\n",
    "    if congestion is not None:\n",
    "        query_params += \"&congestion-days={}\".format(congestion)\n",
    "\n",
    "    uri = \"/v1.0/routes/{}/{}\".format(ticker, query_params)\n",
    "    #print(uri)\n",
    "\n",
    "    content = do_api_get_query(\n",
    "        uri=\"/v1.0/routes/{}/{}\".format(ticker, query_params),\n",
    "        access_token=access_token,\n",
    "    )\n",
    "\n",
    "    my_dict = content[\"data\"]\n",
    "\n",
    "    return my_dict\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "899d4cae",
   "metadata": {},
   "source": [
    "### Routes Reference Table\n",
    "\n",
    "Sorting all the data from the saved dictionary into an easy-to-read Pandas DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "b0ba8777",
   "metadata": {},
   "outputs": [],
   "source": [
    "primary_uuid =[]\n",
    "load_uuid = []\n",
    "discharge_uuid = []\n",
    "load_port = []\n",
    "discharge_port = []\n",
    "via_list = []\n",
    "load_region = []\n",
    "discharge_region = []\n",
    "\n",
    "for route in dicto1['routes']:\n",
    "    primary_uuid.append(route['uuid'])\n",
    "    via_list.append(route['via'])\n",
    "    \n",
    "    load_uuid.append(route['loadPort']['uuid'])\n",
    "    load_port.append(route['loadPort']['name'])\n",
    "    load_region.append(route['loadPort']['region'])\n",
    "    \n",
    "    discharge_uuid.append(route['dischargePort']['uuid'])\n",
    "    discharge_port.append(route['dischargePort']['name'])\n",
    "    discharge_region.append(route['dischargePort']['region'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "704321f1",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>UUID</th>\n",
       "      <th>Load Location</th>\n",
       "      <th>Discharge Location</th>\n",
       "      <th>Via</th>\n",
       "      <th>Load Region</th>\n",
       "      <th>Discharge Region</th>\n",
       "      <th>Load UUID</th>\n",
       "      <th>Discharge UUID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>003a3297-b4ed-4c49-9ab2-65122c6f6de8</td>\n",
       "      <td>Sabine Pass</td>\n",
       "      <td>Stade</td>\n",
       "      <td>None</td>\n",
       "      <td>atlantic</td>\n",
       "      <td>atlantic</td>\n",
       "      <td>003dec0a-ce8f-41db-8c24-4d7ef6addf70</td>\n",
       "      <td>003b319e-b29e-4853-b4ee-85794d5bacba</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>003511be-a06d-407b-8d13-22a6ac99f59d</td>\n",
       "      <td>NWS</td>\n",
       "      <td>Ravenna</td>\n",
       "      <td>suez</td>\n",
       "      <td>pacific</td>\n",
       "      <td>atlantic</td>\n",
       "      <td>00381c87-4180-4430-80f1-bf828099124f</td>\n",
       "      <td>0030d930-6574-4049-a739-327a16620429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>003bf8b0-b31e-469e-9aa4-6b3746379c71</td>\n",
       "      <td>Sabine Pass</td>\n",
       "      <td>Colon</td>\n",
       "      <td>None</td>\n",
       "      <td>atlantic</td>\n",
       "      <td>atlantic</td>\n",
       "      <td>003dec0a-ce8f-41db-8c24-4d7ef6addf70</td>\n",
       "      <td>003f52cd-5b96-41b8-bc82-600f6f7499cc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>003e75c7-37cd-4342-b3eb-400bc0a16402</td>\n",
       "      <td>Sabine Pass</td>\n",
       "      <td>Guanabara Bay</td>\n",
       "      <td>None</td>\n",
       "      <td>atlantic</td>\n",
       "      <td>atlantic</td>\n",
       "      <td>003dec0a-ce8f-41db-8c24-4d7ef6addf70</td>\n",
       "      <td>0035ad68-ff62-4899-8bd3-b8c2f04aae7a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0037b594-af21-482b-b235-d4d2d23704cb</td>\n",
       "      <td>Gorgon</td>\n",
       "      <td>Caofeidian</td>\n",
       "      <td>None</td>\n",
       "      <td>pacific</td>\n",
       "      <td>pacific</td>\n",
       "      <td>00312574-769c-4edf-9a55-362f3da20312</td>\n",
       "      <td>0036bb58-b8b6-4f04-95fe-ddce2a1f16f9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   UUID Load Location Discharge Location  \\\n",
       "0  003a3297-b4ed-4c49-9ab2-65122c6f6de8   Sabine Pass              Stade   \n",
       "1  003511be-a06d-407b-8d13-22a6ac99f59d           NWS            Ravenna   \n",
       "2  003bf8b0-b31e-469e-9aa4-6b3746379c71   Sabine Pass              Colon   \n",
       "3  003e75c7-37cd-4342-b3eb-400bc0a16402   Sabine Pass      Guanabara Bay   \n",
       "4  0037b594-af21-482b-b235-d4d2d23704cb        Gorgon         Caofeidian   \n",
       "\n",
       "    Via Load Region Discharge Region                             Load UUID  \\\n",
       "0  None    atlantic         atlantic  003dec0a-ce8f-41db-8c24-4d7ef6addf70   \n",
       "1  suez     pacific         atlantic  00381c87-4180-4430-80f1-bf828099124f   \n",
       "2  None    atlantic         atlantic  003dec0a-ce8f-41db-8c24-4d7ef6addf70   \n",
       "3  None    atlantic         atlantic  003dec0a-ce8f-41db-8c24-4d7ef6addf70   \n",
       "4  None     pacific          pacific  00312574-769c-4edf-9a55-362f3da20312   \n",
       "\n",
       "                         Discharge UUID  \n",
       "0  003b319e-b29e-4853-b4ee-85794d5bacba  \n",
       "1  0030d930-6574-4049-a739-327a16620429  \n",
       "2  003f52cd-5b96-41b8-bc82-600f6f7499cc  \n",
       "3  0035ad68-ff62-4899-8bd3-b8c2f04aae7a  \n",
       "4  0036bb58-b8b6-4f04-95fe-ddce2a1f16f9  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "route_df = pd.DataFrame({\n",
    "    'UUID': primary_uuid,\n",
    "    'Load Location': load_port,\n",
    "    'Discharge Location': discharge_port,\n",
    "    'Via': via_list,\n",
    "    'Load Region': load_region,\n",
    "    'Discharge Region': discharge_region,\n",
    "    'Load UUID': load_uuid,\n",
    "    'Discharge UUID': discharge_uuid\n",
    "})\n",
    "\n",
    "route_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63ede98d",
   "metadata": {},
   "source": [
    "# Load & Discharge Port Inputs\n",
    "\n",
    "Input the list of Load and Discharge ports you'd like to include in the table. Cross reference with the Routes Reference table above to make sure the route combinations you input are assessed by Spark.\n",
    "\n",
    "__Looking for a a Route Cost we don't currently provide?__ Contact us at info@sparkcommodities.com to request any new routes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "7e8590b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Defining which ports to use in our table\n",
    "my_loads = ['Sabine Pass', 'Atlantic LNG', 'Bethioua', 'Hammerfest', 'Bonny LNG','Yamal',  'Ras Laffan', 'Bintulu','Gorgon', 'GLNG']\n",
    "my_discharges = ['Bahia','Gate','Swinoujscie','Fos Cavaou','Rovigo','Dahej','Rayong','Dapeng','Yung An','Tianjin','Incheon','Futtsu']\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3c0279d",
   "metadata": {},
   "source": [
    "### Defining Function to pull data and save as Pandas DataFrame\n",
    "\n",
    "The function takes 4 parameters:\n",
    "- __loads:__ the list of Load Ports you'd like to use in your table\n",
    "- __discharges:__ the list of Discharge Ports you'd like to use in your table\n",
    "- __month:__ which month's prices you'd like to retrieve (0= spot, 1=M+1, etc.)\n",
    "- __release:__ which published price release you'd like to use. Default is 'latest', which calls the latest route costs. Input a date (e.g. '2025-04-03') to call historical prices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "94913c92",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "def routes_table(loads,discharges, month, release='latest'):\n",
    "    # initialising DataFrame\n",
    "    table_df = pd.DataFrame(columns=discharges)\n",
    "    table_df['FoB Ports'] = loads\n",
    "    table_df = table_df.set_index('FoB Ports')\n",
    "\n",
    "    # Iterating through load, discharge combinations and retrieving relevant data\n",
    "    for l in loads:\n",
    "        for d in discharges:\n",
    "            a = route_df[(route_df['Load Location'] == l)\\\n",
    "            & (route_df['Discharge Location'] == d)]\n",
    "\n",
    "            # retrieving the route UUID, making sure the via point is COGH where applicable\n",
    "            try:\n",
    "                vias = a['Via'].to_list()\n",
    "                if len(a) == 1:\n",
    "                    tick = a['UUID'].iloc[0]\n",
    "                else: \n",
    "                    if 'cogh' in vias:\n",
    "                        tick = a[a['Via'] == 'cogh']['UUID'].iloc[0]\n",
    "                    else:\n",
    "                        tick = a[(a['Via'] != 'panama') & \\\n",
    "                                 (a['Via'] != 'suez') & \\\n",
    "                                (a['Via'] != 'magellan-straits')]['UUID'].iloc[0]\n",
    "                    \n",
    "                # calling route data with UUID\n",
    "                if release == 'latest':\n",
    "                    my_dict = fetch_route_data(access_token, tick, release=reldates[0])\n",
    "                else:\n",
    "                    my_dict = fetch_route_data(access_token, tick, release=release)\n",
    "\n",
    "                table_df.loc[l,d] = float(my_dict['dataPoints'][month]['costsInUsdPerMmbtu']['total'])\n",
    "            \n",
    "            except:\n",
    "                table_df.loc[l,d] = np.nan\n",
    "        \n",
    "    return table_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "88add60b",
   "metadata": {},
   "source": [
    "## Calling the Data\n",
    "\n",
    "As an example, here we call the latest spot route costs for our chosen Load and Discharge ports."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "07c23292",
   "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>Bahia</th>\n",
       "      <th>Gate</th>\n",
       "      <th>Swinoujscie</th>\n",
       "      <th>Fos Cavaou</th>\n",
       "      <th>Rovigo</th>\n",
       "      <th>Dahej</th>\n",
       "      <th>Rayong</th>\n",
       "      <th>Dapeng</th>\n",
       "      <th>Yung An</th>\n",
       "      <th>Tianjin</th>\n",
       "      <th>Incheon</th>\n",
       "      <th>Futtsu</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FoB Ports</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Sabine Pass</th>\n",
       "      <td>0.637</td>\n",
       "      <td>0.699</td>\n",
       "      <td>0.823</td>\n",
       "      <td>0.738</td>\n",
       "      <td>0.894</td>\n",
       "      <td>1.387</td>\n",
       "      <td>1.583</td>\n",
       "      <td>1.659</td>\n",
       "      <td>1.697</td>\n",
       "      <td>1.846</td>\n",
       "      <td>1.812</td>\n",
       "      <td>1.816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Atlantic LNG</th>\n",
       "      <td>0.395</td>\n",
       "      <td>0.545</td>\n",
       "      <td>0.687</td>\n",
       "      <td>0.561</td>\n",
       "      <td>0.711</td>\n",
       "      <td>1.112</td>\n",
       "      <td>1.297</td>\n",
       "      <td>1.375</td>\n",
       "      <td>1.391</td>\n",
       "      <td>1.534</td>\n",
       "      <td>1.496</td>\n",
       "      <td>1.525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bethioua</th>\n",
       "      <td>0.542</td>\n",
       "      <td>0.354</td>\n",
       "      <td>0.493</td>\n",
       "      <td>0.228</td>\n",
       "      <td>0.373</td>\n",
       "      <td>1.145</td>\n",
       "      <td>1.33</td>\n",
       "      <td>1.408</td>\n",
       "      <td>1.446</td>\n",
       "      <td>1.567</td>\n",
       "      <td>1.529</td>\n",
       "      <td>1.559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hammerfest</th>\n",
       "      <td>0.8</td>\n",
       "      <td>0.341</td>\n",
       "      <td>0.442</td>\n",
       "      <td>0.552</td>\n",
       "      <td>0.708</td>\n",
       "      <td>1.474</td>\n",
       "      <td>1.683</td>\n",
       "      <td>1.762</td>\n",
       "      <td>1.803</td>\n",
       "      <td>1.935</td>\n",
       "      <td>1.896</td>\n",
       "      <td>1.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bonny LNG</th>\n",
       "      <td>0.68</td>\n",
       "      <td>0.835</td>\n",
       "      <td>1.001</td>\n",
       "      <td>0.788</td>\n",
       "      <td>0.937</td>\n",
       "      <td>1.068</td>\n",
       "      <td>1.226</td>\n",
       "      <td>1.293</td>\n",
       "      <td>1.333</td>\n",
       "      <td>1.466</td>\n",
       "      <td>1.434</td>\n",
       "      <td>1.458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yamal</th>\n",
       "      <td>0.918</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.697</td>\n",
       "      <td>0.855</td>\n",
       "      <td>1.606</td>\n",
       "      <td>1.782</td>\n",
       "      <td>1.88</td>\n",
       "      <td>1.897</td>\n",
       "      <td>2.049</td>\n",
       "      <td>2.014</td>\n",
       "      <td>2.043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ras Laffan</th>\n",
       "      <td>1.091</td>\n",
       "      <td>1.468</td>\n",
       "      <td>1.651</td>\n",
       "      <td>1.415</td>\n",
       "      <td>1.586</td>\n",
       "      <td>0.332</td>\n",
       "      <td>0.652</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.756</td>\n",
       "      <td>0.888</td>\n",
       "      <td>0.855</td>\n",
       "      <td>0.859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bintulu</th>\n",
       "      <td>1.219</td>\n",
       "      <td>1.61</td>\n",
       "      <td>1.796</td>\n",
       "      <td>1.534</td>\n",
       "      <td>1.729</td>\n",
       "      <td>0.534</td>\n",
       "      <td>0.316</td>\n",
       "      <td>0.381</td>\n",
       "      <td>0.376</td>\n",
       "      <td>0.504</td>\n",
       "      <td>0.451</td>\n",
       "      <td>0.476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gorgon</th>\n",
       "      <td>1.099</td>\n",
       "      <td>1.478</td>\n",
       "      <td>1.613</td>\n",
       "      <td>1.426</td>\n",
       "      <td>1.596</td>\n",
       "      <td>0.567</td>\n",
       "      <td>0.43</td>\n",
       "      <td>0.475</td>\n",
       "      <td>0.491</td>\n",
       "      <td>0.598</td>\n",
       "      <td>0.568</td>\n",
       "      <td>0.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GLNG</th>\n",
       "      <td>1.22</td>\n",
       "      <td>2.12</td>\n",
       "      <td>1.926</td>\n",
       "      <td>1.71</td>\n",
       "      <td>1.884</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.648</td>\n",
       "      <td>0.61</td>\n",
       "      <td>0.585</td>\n",
       "      <td>0.692</td>\n",
       "      <td>0.64</td>\n",
       "      <td>0.579</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Bahia   Gate Swinoujscie Fos Cavaou Rovigo  Dahej Rayong Dapeng  \\\n",
       "FoB Ports                                                                       \n",
       "Sabine Pass   0.637  0.699       0.823      0.738  0.894  1.387  1.583  1.659   \n",
       "Atlantic LNG  0.395  0.545       0.687      0.561  0.711  1.112  1.297  1.375   \n",
       "Bethioua      0.542  0.354       0.493      0.228  0.373  1.145   1.33  1.408   \n",
       "Hammerfest      0.8  0.341       0.442      0.552  0.708  1.474  1.683  1.762   \n",
       "Bonny LNG      0.68  0.835       1.001      0.788  0.937  1.068  1.226  1.293   \n",
       "Yamal         0.918   0.48        0.56      0.697  0.855  1.606  1.782   1.88   \n",
       "Ras Laffan    1.091  1.468       1.651      1.415  1.586  0.332  0.652   0.74   \n",
       "Bintulu       1.219   1.61       1.796      1.534  1.729  0.534  0.316  0.381   \n",
       "Gorgon        1.099  1.478       1.613      1.426  1.596  0.567   0.43  0.475   \n",
       "GLNG           1.22   2.12       1.926       1.71  1.884   0.83  0.648   0.61   \n",
       "\n",
       "             Yung An Tianjin Incheon Futtsu  \n",
       "FoB Ports                                    \n",
       "Sabine Pass    1.697   1.846   1.812  1.816  \n",
       "Atlantic LNG   1.391   1.534   1.496  1.525  \n",
       "Bethioua       1.446   1.567   1.529  1.559  \n",
       "Hammerfest     1.803   1.935   1.896   1.93  \n",
       "Bonny LNG      1.333   1.466   1.434  1.458  \n",
       "Yamal          1.897   2.049   2.014  2.043  \n",
       "Ras Laffan     0.756   0.888   0.855  0.859  \n",
       "Bintulu        0.376   0.504   0.451  0.476  \n",
       "Gorgon         0.491   0.598   0.568   0.57  \n",
       "GLNG           0.585   0.692    0.64  0.579  "
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table_df = routes_table(my_loads,my_discharges, month=0, release = 'latest')\n",
    "table_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ae1e620",
   "metadata": {},
   "source": [
    "# Optional Formatting using 'plottable'\n",
    "\n",
    "This section uses the Python package 'plottable' to apply style formatting to our Routes table. 'plottable' is not a standard Python package and needs to be downloaded separately - as such, the code below is commented out to avoid script breaks. Remove the {\"\"\"} at the beginning/end of the code to uncomment the code and run this section.\n",
    "\n",
    "For more information on 'plottable', please refer to their documentation:\n",
    "\n",
    "https://plottable.readthedocs.io/en/latest/index.html#"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c5376282",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\"\"\"\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from plottable import ColumnDefinition, Table\n",
    "from plottable.cmap import normed_cmap\n",
    "import matplotlib\n",
    "\n",
    "# retrieving the columns ranked by standard deviation, and choosing one to use for the colourmap scaling\n",
    "ci = list(table_df.std().sort_values().index)[-2]\n",
    "\n",
    "# initiating figure\n",
    "fig, ax = plt.subplots(figsize=(20, 8))\n",
    "\n",
    "\n",
    "# defining columns of the table\n",
    "col_defs = (\n",
    "    [\n",
    "        ColumnDefinition(\n",
    "            name=\"FoB Ports\",\n",
    "            textprops={\"ha\": \"left\", \"weight\": \"bold\"},\n",
    "            width=1.5,\n",
    "            border='right',\n",
    "        )\n",
    "    ]\n",
    "    + [\n",
    "        ColumnDefinition(\n",
    "            name=col,\n",
    "            title=col,\n",
    "            cmap=normed_cmap(table_df[ci], cmap=matplotlib.cm.coolwarm, num_stds=2.5),\n",
    "            textprops={\"ha\": \"center\"},\n",
    "            group=\"Discharge Locations\",\n",
    "        )\n",
    "        for col in my_discharges\n",
    "    ])\n",
    "\n",
    "# creating table\n",
    "table = Table(\n",
    "    table_df,\n",
    "    row_dividers=True,\n",
    "    col_label_divider=True,\n",
    "    column_definitions=col_defs,\n",
    "    footer_divider=True,\n",
    "    ax=ax,\n",
    "    textprops={\"fontsize\": 12},\n",
    "    row_divider_kw={\"linewidth\": 1, \"linestyle\": (0, (1, 5))},\n",
    "    col_label_divider_kw={\"linewidth\": 1, \"linestyle\": \"-\"},\n",
    "    column_border_kw={\"linewidth\": 1, \"linestyle\": \"-\"},\n",
    ")\n",
    "\n",
    "plt.show()\n",
    "\n",
    "\"\"\""
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "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": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}