{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "33bb58c6-7b17-447a-90ad-1b9e0b90fec0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting fastf1\n",
      "  Downloading fastf1-3.8.3-py3-none-any.whl.metadata (5.1 kB)\n",
      "Requirement already satisfied: cryptography in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from fastf1) (44.0.1)\n",
      "Requirement already satisfied: matplotlib<4.0.0,>=3.8.0 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from fastf1) (3.10.0)\n",
      "Requirement already satisfied: numpy<3.0.0,>=1.26.0 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from fastf1) (2.2.6)\n",
      "Requirement already satisfied: pandas<3.0.0,>=2.1.1 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from fastf1) (2.2.3)\n",
      "Requirement already satisfied: platformdirs in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from fastf1) (4.3.7)\n",
      "Requirement already satisfied: pydantic in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from fastf1) (2.12.4)\n",
      "Requirement already satisfied: pyjwt in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from fastf1) (2.10.1)\n",
      "Requirement already satisfied: python-dateutil in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from fastf1) (2.9.0.post0)\n",
      "Requirement already satisfied: rapidfuzz in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from fastf1) (3.14.3)\n",
      "Collecting requests-cache>=1.0.0 (from fastf1)\n",
      "  Downloading requests_cache-1.3.3-py3-none-any.whl.metadata (9.4 kB)\n",
      "Requirement already satisfied: requests>=2.30.0 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from fastf1) (2.33.1)\n",
      "Requirement already satisfied: scipy<2.0.0,>=1.11.0 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from fastf1) (1.15.3)\n",
      "Collecting signalrcore (from fastf1)\n",
      "  Downloading signalrcore-1.0.2-py3-none-any.whl.metadata (13 kB)\n",
      "Collecting timple>=0.1.6 (from fastf1)\n",
      "  Downloading timple-0.1.8-py3-none-any.whl.metadata (2.0 kB)\n",
      "Requirement already satisfied: websockets>=10.3 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from fastf1) (15.0.1)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from matplotlib<4.0.0,>=3.8.0->fastf1) (1.3.1)\n",
      "Requirement already satisfied: cycler>=0.10 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from matplotlib<4.0.0,>=3.8.0->fastf1) (0.11.0)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from matplotlib<4.0.0,>=3.8.0->fastf1) (4.55.3)\n",
      "Requirement already satisfied: kiwisolver>=1.3.1 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from matplotlib<4.0.0,>=3.8.0->fastf1) (1.4.8)\n",
      "Requirement already satisfied: packaging>=20.0 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from matplotlib<4.0.0,>=3.8.0->fastf1) (24.2)\n",
      "Requirement already satisfied: pillow>=8 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from matplotlib<4.0.0,>=3.8.0->fastf1) (12.2.0)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from matplotlib<4.0.0,>=3.8.0->fastf1) (3.2.0)\n",
      "Requirement already satisfied: pytz>=2020.1 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from pandas<3.0.0,>=2.1.1->fastf1) (2024.1)\n",
      "Requirement already satisfied: tzdata>=2022.7 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from pandas<3.0.0,>=2.1.1->fastf1) (2025.2)\n",
      "Requirement already satisfied: six>=1.5 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from python-dateutil->fastf1) (1.17.0)\n",
      "Requirement already satisfied: charset_normalizer<4,>=2 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from requests>=2.30.0->fastf1) (3.3.2)\n",
      "Requirement already satisfied: idna<4,>=2.5 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from requests>=2.30.0->fastf1) (3.7)\n",
      "Requirement already satisfied: urllib3<3,>=1.26 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from requests>=2.30.0->fastf1) (2.3.0)\n",
      "Requirement already satisfied: certifi>=2023.5.7 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from requests>=2.30.0->fastf1) (2026.2.25)\n",
      "Requirement already satisfied: attrs>=21.2 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from requests-cache>=1.0.0->fastf1) (24.3.0)\n",
      "Collecting cattrs>=22.2 (from requests-cache>=1.0.0->fastf1)\n",
      "  Downloading cattrs-26.2.1-py3-none-any.whl.metadata (8.5 kB)\n",
      "Collecting url-normalize>=2.0 (from requests-cache>=1.0.0->fastf1)\n",
      "  Downloading url_normalize-3.0.1-py3-none-any.whl.metadata (7.8 kB)\n",
      "Collecting attrs>=21.2 (from requests-cache>=1.0.0->fastf1)\n",
      "  Using cached attrs-26.1.0-py3-none-any.whl.metadata (8.8 kB)\n",
      "Requirement already satisfied: typing-extensions>=4.14.0 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from cattrs>=22.2->requests-cache>=1.0.0->fastf1) (4.15.0)\n",
      "Requirement already satisfied: cffi>=1.12 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from cryptography->fastf1) (1.17.1)\n",
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      "Requirement already satisfied: annotated-types>=0.6.0 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from pydantic->fastf1) (0.6.0)\n",
      "Requirement already satisfied: pydantic-core==2.41.5 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from pydantic->fastf1) (2.41.5)\n",
      "Requirement already satisfied: typing-inspection>=0.4.2 in C:\\Users\\sithi\\anaconda3\\Lib\\site-packages (from pydantic->fastf1) (0.4.2)\n",
      "Collecting msgpack==1.1.2 (from signalrcore->fastf1)\n",
      "  Downloading msgpack-1.1.2-cp313-cp313-win_amd64.whl.metadata (8.4 kB)\n",
      "Downloading fastf1-3.8.3-py3-none-any.whl (135 kB)\n",
      "Downloading requests_cache-1.3.3-py3-none-any.whl (70 kB)\n",
      "Downloading cattrs-26.2.1-py3-none-any.whl (74 kB)\n",
      "Using cached attrs-26.1.0-py3-none-any.whl (67 kB)\n",
      "Downloading timple-0.1.8-py3-none-any.whl (17 kB)\n",
      "Downloading url_normalize-3.0.1-py3-none-any.whl (18 kB)\n",
      "Downloading signalrcore-1.0.2-py3-none-any.whl (55 kB)\n",
      "Downloading msgpack-1.1.2-cp313-cp313-win_amd64.whl (72 kB)\n",
      "Installing collected packages: url-normalize, msgpack, attrs, signalrcore, cattrs, timple, requests-cache, fastf1\n",
      "\n",
      "   ---------------------------------------- 0/8 [url-normalize]\n",
      "  Attempting uninstall: msgpack\n",
      "   ---------------------------------------- 0/8 [url-normalize]\n",
      "    Found existing installation: msgpack 1.0.3\n",
      "   ---------------------------------------- 0/8 [url-normalize]\n",
      "   ----- ---------------------------------- 1/8 [msgpack]\n",
      "    Uninstalling msgpack-1.0.3:\n",
      "   ----- ---------------------------------- 1/8 [msgpack]\n",
      "      Successfully uninstalled msgpack-1.0.3\n",
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      "   ----- ---------------------------------- 1/8 [msgpack]\n",
      "  Attempting uninstall: attrs\n",
      "   ----- ---------------------------------- 1/8 [msgpack]\n",
      "    Found existing installation: attrs 24.3.0\n",
      "   ----- ---------------------------------- 1/8 [msgpack]\n",
      "   ---------- ----------------------------- 2/8 [attrs]\n",
      "    Uninstalling attrs-24.3.0:\n",
      "   ---------- ----------------------------- 2/8 [attrs]\n",
      "      Successfully uninstalled attrs-24.3.0\n",
      "   ---------- ----------------------------- 2/8 [attrs]\n",
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      "   --------------- ------------------------ 3/8 [signalrcore]\n",
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      "   --------------- ------------------------ 3/8 [signalrcore]\n",
      "   -------------------- ------------------- 4/8 [cattrs]\n",
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      "   ------------------------- -------------- 5/8 [timple]\n",
      "   ------------------------------ --------- 6/8 [requests-cache]\n",
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      "   ----------------------------------- ---- 7/8 [fastf1]\n",
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      "   ----------------------------------- ---- 7/8 [fastf1]\n",
      "   ---------------------------------------- 8/8 [fastf1]\n",
      "\n",
      "Successfully installed attrs-26.1.0 cattrs-26.2.1 fastf1-3.8.3 msgpack-1.1.2 requests-cache-1.3.3 signalrcore-1.0.2 timple-0.1.8 url-normalize-3.0.1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
      "llama-index-core 0.14.7 requires setuptools>=80.9.0, but you have setuptools 73.0.1 which is incompatible.\n"
     ]
    }
   ],
   "source": [
    "# Install FastF1\n",
    "!pip install fastf1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "184ca2f1-49cd-4c5f-8fe1-244a2a4657f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import fastf1\n",
    "import fastf1.plotting\n",
    "from matplotlib import pyplot as plt\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "4547e672-c245-49cb-8811-7c8330e5a330",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Establish cache directory in your local folder\n",
    "cache_dir = './f1 data '\n",
    "if not os.path.exists(cache_dir):\n",
    "    os.makedirs(cache_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e78a179b-5fd2-4cae-9614-50a09a37a337",
   "metadata": {},
   "outputs": [],
   "source": [
    "import fastf1\n",
    "import fastf1.plotting\n",
    "from matplotlib import pyplot as plt\n",
    "import os\n",
    "\n",
    "# Use a clean folder name with NO spaces at the end\n",
    "cache_dir = './f1_data' \n",
    "\n",
    "if not os.path.exists(cache_dir):\n",
    "    os.makedirs(cache_dir)\n",
    "\n",
    "# Enable caching\n",
    "fastf1.Cache.enable_cache(cache_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "29d96bf6-f603-4f6c-9250-c4d2b7f2c55b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Apply FastF1's official dark plotting theme\n",
    "fastf1.plotting.setup_mpl(mpl_timedelta_support=True, color_scheme='fastf1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3f9d5767-1fef-4a45-afb0-433bd2afbd1e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "core           INFO \tLoading data for Bahrain Grand Prix - Qualifying [v3.8.3]\n",
      "req            INFO \tNo cached data found for session_info. Loading data...\n",
      "_api           INFO \tFetching session info data...\n",
      "req            INFO \tData has been written to cache!\n",
      "req            INFO \tNo cached data found for driver_info. Loading data...\n",
      "_api           INFO \tFetching driver list...\n",
      "req            INFO \tData has been written to cache!\n",
      "req            INFO \tNo cached data found for session_status_data. Loading data...\n",
      "_api           INFO \tFetching session status data...\n",
      "req            INFO \tData has been written to cache!\n",
      "req            INFO \tNo cached data found for track_status_data. Loading data...\n",
      "_api           INFO \tFetching track status data...\n",
      "req            INFO \tData has been written to cache!\n",
      "req            INFO \tNo cached data found for _extended_timing_data. Loading data...\n",
      "_api           INFO \tFetching timing data...\n",
      "_api           INFO \tParsing timing data...\n",
      "req            INFO \tData has been written to cache!\n",
      "req            INFO \tNo cached data found for timing_app_data. Loading data...\n",
      "_api           INFO \tFetching timing app data...\n",
      "req            INFO \tData has been written to cache!\n",
      "core           INFO \tProcessing timing data...\n",
      "req            INFO \tNo cached data found for car_data. Loading data...\n",
      "_api           INFO \tFetching car data...\n",
      "_api           INFO \tParsing car data...\n",
      "req            INFO \tData has been written to cache!\n",
      "req            INFO \tNo cached data found for position_data. Loading data...\n",
      "_api           INFO \tFetching position data...\n",
      "_api           INFO \tParsing position data...\n",
      "req            INFO \tData has been written to cache!\n",
      "req            INFO \tNo cached data found for weather_data. Loading data...\n",
      "_api           INFO \tFetching weather data...\n",
      "req            INFO \tData has been written to cache!\n",
      "req            INFO \tNo cached data found for race_control_messages. Loading data...\n",
      "_api           INFO \tFetching race control messages...\n",
      "req            INFO \tData has been written to cache!\n",
      "core           INFO \tFinished loading data for 20 drivers: ['1', '11', '16', '55', '14', '63', '44', '18', '31', '27', '4', '77', '24', '22', '23', '2', '20', '81', '21', '10']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Session Loaded: Bahrain Grand Prix 2023\n"
     ]
    }
   ],
   "source": [
    "# Load the 2023 Bahrain Grand Prix Qualifying Session\n",
    "session = fastf1.get_session(2023, 'Bahrain', 'Q')\n",
    "session.load(telemetry=True)\n",
    "\n",
    "print(f\"Session Loaded: {session.event['EventName']} {session.event.year}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f166b69b-5b4d-40da-8da3-a263a94a9cd6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Verstappen Lap Time: 0 days 00:01:29.708000\n",
      "Leclerc Lap Time:    0 days 00:01:30\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\sithi\\anaconda3\\Lib\\site-packages\\fastf1\\core.py:3175: FutureWarning: pick_driver is deprecated and will be removed in a future release. Use pick_drivers instead.\n",
      "  warnings.warn((\"pick_driver is deprecated and will be removed\"\n",
      "C:\\Users\\sithi\\anaconda3\\Lib\\site-packages\\fastf1\\core.py:3175: FutureWarning: pick_driver is deprecated and will be removed in a future release. Use pick_drivers instead.\n",
      "  warnings.warn((\"pick_driver is deprecated and will be removed\"\n"
     ]
    }
   ],
   "source": [
    "# Extract the fastest qualifying laps for Max Verstappen and Charles Leclerc\n",
    "ver_lap = session.laps.pick_driver('VER').pick_fastest()\n",
    "lec_lap = session.laps.pick_driver('LEC').pick_fastest()\n",
    "\n",
    "# Extract telemetry and calculate relative track distance along the lap\n",
    "ver_tel = ver_lap.get_car_data().add_distance()\n",
    "lec_tel = lec_lap.get_car_data().add_distance()\n",
    "\n",
    "print(f\"Verstappen Lap Time: {ver_lap['LapTime']}\")\n",
    "print(f\"Leclerc Lap Time:    {lec_lap['LapTime']}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "3fd1cfba-8f0e-4305-bda6-f232e4038694",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "req            INFO \tUsing cached data for driver_info\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create visualization canvas\n",
    "fig, ax = plt.subplots(figsize=(14, 6))\n",
    "\n",
    "# Plot speed curves using get_team_color (FastF1 v3.4+)\n",
    "ax.plot(ver_tel['Distance'], ver_tel['Speed'], \n",
    "        color=fastf1.plotting.get_team_color(ver_lap['Team'], session=session), \n",
    "        label='VER (Red Bull Racing)',\n",
    "        linewidth=1.8)\n",
    "\n",
    "ax.plot(lec_tel['Distance'], lec_tel['Speed'], \n",
    "        color=fastf1.plotting.get_team_color(lec_lap['Team'], session=session), \n",
    "        label='LEC (Scuderia Ferrari)',\n",
    "        linewidth=1.8)\n",
    "\n",
    "# Chart styling and metadata\n",
    "ax.set_xlabel('Track Distance (Meters)', fontsize=12)\n",
    "ax.set_ylabel('Speed (km/h)', fontsize=12)\n",
    "ax.set_title('Qualifying Telemetry Comparison: Verstappen vs. Leclerc (Bahrain 2023)', fontsize=14, pad=15)\n",
    "ax.legend(loc='lower right', frameon=True)\n",
    "ax.grid(True, linestyle='--', alpha=0.4)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "98674cf6-8aeb-454c-ba66-2f1ee94db853",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af23dd33-f4ba-4a97-9b98-583b23ac81a7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:base] *",
   "language": "python",
   "name": "conda-base-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
