{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Plotting Vessel Trail with Signals API\n", "\n", "This notebook will mainly cover how to extract signals data from Signals API and how to visualize them in a map using plotly library.\n", "\n", "The example used in this notebook is LNG Exports out of Russia Arctic LNG 2 Plant terminal." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Import Library" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "c:\\Users\\OuiWeinJien\\anaconda3\\lib\\site-packages\\pandas\\core\\arrays\\masked.py:60: UserWarning: Pandas requires version '1.3.6' or newer of 'bottleneck' (version '1.3.5' currently installed).\n", " from pandas.core import (\n" ] } ], "source": [ "import pandas as pd\n", "from datetime import datetime\n", "import numpy as np\n", "import vortexasdk as v\n", "import requests\n", "import os\n", "import plotly.express as px" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2024-09-17 15:13:57,286 vortexasdk.client — WARNING — You are using vortexasdk version 0.73.0, however version 0.73.1 is available.\n", "You should consider upgrading via the 'pip install vortexasdk --upgrade' command.\n" ] } ], "source": [ "lng = [p.id for p in v.Products().search('LNG').to_list() if p.name=='LNG']\n", "\n", "russia_arctic=[p.id for p in v.Geographies().search('Arctic LNG 2 Plant').to_list()]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Extract Cargo Movements data" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "cm_df = v.CargoMovements().search(\n", " filter_activity='loading_end',\n", " filter_products=lng,\n", " filter_origins=russia_arctic,\n", " filter_time_min=datetime(2024, 1, 1),\n", " filter_time_max=datetime.today()\n", ").to_df(columns = 'all')" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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vessels.0.namevessels.0.imovessels.0.idvessels.1.namevessels.1.imovessels.1.start_timestamp
0EVEREST ENERGY9243148fe16241b4f45168faa94269633b52a4336b0c9d6e4c76b...NaT
1ASYA ENERGY921629879138d1707099e3ed42779a5249bdf12343e0acdc53d85...NaT
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3PIONEER925660272674aadb46c52864d2fa32ef49361f6873fd11c69574c...NaT
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" ], "text/plain": [ " vessels.0.name vessels.0.imo \\\n", "0 EVEREST ENERGY 9243148 \n", "1 ASYA ENERGY 9216298 \n", "2 EVEREST ENERGY 9243148 \n", "3 PIONEER 9256602 \n", "4 PIONEER 9256602 \n", "\n", " vessels.0.id vessels.1.name \\\n", "0 fe16241b4f45168faa94269633b52a4336b0c9d6e4c76b... \n", "1 79138d1707099e3ed42779a5249bdf12343e0acdc53d85... \n", "2 fe16241b4f45168faa94269633b52a4336b0c9d6e4c76b... \n", "3 72674aadb46c52864d2fa32ef49361f6873fd11c69574c... \n", "4 72674aadb46c52864d2fa32ef49361f6873fd11c69574c... NEW ENERGY \n", "\n", " vessels.1.imo vessels.1.start_timestamp \n", "0 NaT \n", "1 NaT \n", "2 NaT \n", "3 NaT \n", "4 9324277.0 2024-08-22 00:00:00+00:00 " ] }, "execution_count": 93, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cm_df[['vessels.0.name','vessels.0.imo','vessels.0.id','vessels.1.name','vessels.1.imo','vessels.1.start_timestamp']]" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "vessels_dict = {'fe16241b4f45168f': 'EVEREST ENERGY',\n", " '79138d1707099e3e': 'ASYA ENERGY',\n", " '72674aadb46c5286': 'PIONEER',\n", " '3bc8490a0c382976': 'NEW ENERGY'}" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "all_list = ['9243148', '9216298', '9243148', '9256602', '9256602', '9324277']\n", "\n", "api_key = os.environ['VORTEXA_API_KEY']\n", "\n", "start_timestamp = pd.to_datetime(min(min(cm_df['vessels.0.start_timestamp'].values),min(cm_df['vessels.1.start_timestamp'].values))) - pd.Timedelta('10d')\n", "end_timestamp = datetime.now()\n", "interval = '6h' # \"5m\",\"10m\",\"15m\",\"1h\",\"3h\",\"6h\",\"1d\",\"3d\",\"7d\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Extract data from Signals API" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "def extract_vessel_positions(list_of_vessels, start_timestamp, end_timestamp, interval):\n", " URL = \"https://api.vortexa.com/v6/signals/vessel-positions\"\n", " start_timestamp_iso = start_timestamp.isoformat()\n", " end_timestamp_iso = end_timestamp.isoformat()\n", " ## Make API calls\n", " PARAMS = {\n", " 'apikey':api_key,\n", " 'time_min':start_timestamp_iso,\n", " 'time_max': end_timestamp_iso,\n", " 'interval': interval,\n", " 'vessel_id': list_of_vessels\n", " }\n", " r = requests.get(url = URL, params = PARAMS)\n", " data = r.json()\n", " data = pd.DataFrame(data['data'])\n", " \n", " # Post-processing\n", " data['vessel_name'] = data['vessel_id'].map(vessels_dict)\n", " data.drop_duplicates(subset=['vessel_id','timestamp'],inplace=True)\n", " data = data.sort_values(by=['timestamp'],ascending=True)\n", " return data\n", "\n", "# Plot animation with gradient color on timestamp\n", "def plot_trail(final_data, save_path=None):\n", " fig = px.scatter_mapbox(\n", " final_data, \n", " lat=\"lat\", \n", " lon=\"lon\", \n", " color='vessel_id', \n", " size_max=15, \n", " zoom=10, \n", " animation_frame=\"timestamp\", \n", " color_continuous_scale=px.colors.sequential.Viridis,\n", " text='vessel_name' # Add vessel names as labels\n", " )\n", " \n", " # Update layout to show the text as labels on the map\n", " fig.update_traces(marker=dict(size=10), textposition=\"top right\")\n", " \n", " fig.update_layout(mapbox_style=\"open-street-map\")\n", " fig.update_layout(margin={\"r\":0,\"t\":0,\"l\":0,\"b\":0})\n", "\n", " # Show the plot\n", " fig.show()\n", " \n", " # Save the plot as an HTML file if a save path is provided\n", " if save_path:\n", " fig.write_html(save_path)\n" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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latlonvessel_idtimestampheadingspeedvessel_name
036.508051-6.6179873bc8490a0c3829762024-07-22T00:00:00.000Z323.00.0NEW ENERGY
40036.125384-6.28648579138d1707099e3e2024-07-22T00:00:00.000Z119.00.0ASYA ENERGY
62624.10801558.110195fe16241b4f45168f2024-07-22T00:00:00.000Z112.516.4EVEREST ENERGY
17072.06350622.50584572674aadb46c52862024-07-22T00:00:00.000Z72.48.2PIONEER
136.510765-6.6147533bc8490a0c3829762024-07-22T06:00:00.000Z92.00.0NEW ENERGY
........................
84156.911525166.064280fe16241b4f45168f2024-09-17T06:00:00.000Z231.911.1EVEREST ENERGY
84331.60394432.30228972674aadb46c52862024-09-17T07:07:59.000Z41.90.0PIONEER
84247.111453-11.0498823bc8490a0c3829762024-09-17T07:10:04.000Z0.012.0NEW ENERGY
84556.911525166.064280fe16241b4f45168f2024-09-17T07:12:01.000Z231.911.1EVEREST ENERGY
84476.30812487.46734779138d1707099e3e2024-09-17T07:12:26.000Z55.010.0ASYA ENERGY
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845 rows × 7 columns

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" ], "text/plain": [ " lat lon vessel_id timestamp \\\n", "0 36.508051 -6.617987 3bc8490a0c382976 2024-07-22T00:00:00.000Z \n", "400 36.125384 -6.286485 79138d1707099e3e 2024-07-22T00:00:00.000Z \n", "626 24.108015 58.110195 fe16241b4f45168f 2024-07-22T00:00:00.000Z \n", "170 72.063506 22.505845 72674aadb46c5286 2024-07-22T00:00:00.000Z \n", "1 36.510765 -6.614753 3bc8490a0c382976 2024-07-22T06:00:00.000Z \n", ".. ... ... ... ... \n", "841 56.911525 166.064280 fe16241b4f45168f 2024-09-17T06:00:00.000Z \n", "843 31.603944 32.302289 72674aadb46c5286 2024-09-17T07:07:59.000Z \n", "842 47.111453 -11.049882 3bc8490a0c382976 2024-09-17T07:10:04.000Z \n", "845 56.911525 166.064280 fe16241b4f45168f 2024-09-17T07:12:01.000Z \n", "844 76.308124 87.467347 79138d1707099e3e 2024-09-17T07:12:26.000Z \n", "\n", " heading speed vessel_name \n", "0 323.0 0.0 NEW ENERGY \n", "400 119.0 0.0 ASYA ENERGY \n", "626 112.5 16.4 EVEREST ENERGY \n", "170 72.4 8.2 PIONEER \n", "1 92.0 0.0 NEW ENERGY \n", ".. ... ... ... \n", "841 231.9 11.1 EVEREST ENERGY \n", "843 41.9 0.0 PIONEER \n", "842 0.0 12.0 NEW ENERGY \n", "845 231.9 11.1 EVEREST ENERGY \n", "844 55.0 10.0 ASYA ENERGY \n", "\n", "[845 rows x 7 columns]" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data = extract_vessel_positions(all_list, start_timestamp, end_timestamp, interval)\n", "data" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "vessel_id=3bc8490a0c382976
timestamp=2024-07-22T00:00:00.000Z
vessel_name=%{text}
lat=%{lat}
lon=%{lon}", "lat": [ 36.50805138 ], "legendgroup": "3bc8490a0c382976", "lon": [ -6.6179867 ], "marker": { "color": "#636efa", "size": 10 }, "mode": "markers+text", "name": "3bc8490a0c382976", "showlegend": true, "subplot": "mapbox", "text": [ "NEW ENERGY" ], "textposition": "top right", "type": "scattermapbox" }, { "hovertemplate": "vessel_id=79138d1707099e3e
timestamp=2024-07-22T00:00:00.000Z
vessel_name=%{text}
lat=%{lat}
lon=%{lon}", "lat": [ 36.12538448 ], "legendgroup": "79138d1707099e3e", "lon": [ -6.28648531 ], "marker": { "color": "#EF553B", "size": 10 }, "mode": "markers+text", "name": "79138d1707099e3e", "showlegend": true, "subplot": "mapbox", "text": [ "ASYA ENERGY" ], "textposition": "top right", "type": "scattermapbox" }, { "hovertemplate": "vessel_id=fe16241b4f45168f
timestamp=2024-07-22T00:00:00.000Z
vessel_name=%{text}
lat=%{lat}
lon=%{lon}", "lat": [ 24.1080152 ], "legendgroup": "fe16241b4f45168f", "lon": [ 58.11019532 ], "marker": { "color": "#00cc96", "size": 10 }, "mode": "markers+text", "name": "fe16241b4f45168f", "showlegend": true, "subplot": "mapbox", "text": [ "EVEREST ENERGY" ], "textposition": "top right", "type": "scattermapbox" }, { "hovertemplate": "vessel_id=72674aadb46c5286
timestamp=2024-07-22T00:00:00.000Z
vessel_name=%{text}
lat=%{lat}
lon=%{lon}", "lat": [ 72.06350642 ], "legendgroup": "72674aadb46c5286", "lon": [ 22.50584512 ], "marker": { "color": "#ab63fa", "size": 10 }, "mode": "markers+text", "name": "72674aadb46c5286", "showlegend": true, "subplot": "mapbox", "text": [ "PIONEER" ], "textposition": "top right", "type": "scattermapbox" } ], "frames": [ { "data": [ { "hovertemplate": "vessel_id=3bc8490a0c382976
timestamp=2024-07-22T00:00:00.000Z
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