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GW_PointsPredictor/GW_fixtures.ipynb
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import requests\n", | |
"import pandas as pd\n", | |
"\n", | |
"# Fetch general information once and use it across functions to reduce API calls\n", | |
"general_info = requests.get(\"https://fantasy.premierleague.com/api/bootstrap-static/\").json()\n", | |
"teams = {team[\"id\"]: team[\"name\"] for team in general_info[\"teams\"]}\n", | |
"positions = {position[\"id\"]: position[\"singular_name_short\"] for position in general_info[\"element_types\"]}\n", | |
"\n", | |
"def get_player_fixture_info(player_id, gameweek):\n", | |
" \"\"\"\n", | |
" Fetch fixture information for a given player and gameweek.\n", | |
" \"\"\"\n", | |
" player_info = requests.get(f\"https://fantasy.premierleague.com/api/element-summary/{player_id}/\").json()\n", | |
" fixtures = player_info[\"fixtures\"]\n", | |
" fixture = next((f for f in fixtures if f[\"event\"] == gameweek), None)\n", | |
" if fixture:\n", | |
" home_team = teams[fixture[\"team_h\"]]\n", | |
" away_team = teams[fixture[\"team_a\"]]\n", | |
" kickoff_time = fixture[\"kickoff_time\"]\n", | |
" is_home = fixture[\"is_home\"]\n", | |
" return home_team, away_team, kickoff_time, is_home\n", | |
" return None, None, None, None\n", | |
"\n", | |
"def get_player_position(element_type):\n", | |
" \"\"\"\n", | |
" Retrieve the player position using cached positions data.\n", | |
" \"\"\"\n", | |
" return positions.get(element_type)\n", | |
"\n", | |
"def get_team_name(team_id):\n", | |
" \"\"\"\n", | |
" Retrieve the team name using cached teams data.\n", | |
" \"\"\"\n", | |
" return teams.get(team_id)\n", | |
"\n", | |
"# Initialize lists to hold player data\n", | |
"my_teams = []\n", | |
"home_teams = []\n", | |
"away_teams = []\n", | |
"kickoff_times = []\n", | |
"is_homes = []\n", | |
"positions_list = []\n", | |
"costs = []\n", | |
"names = []\n", | |
"ids = []\n", | |
"\n", | |
"gameweek = 26 # Define the gameweek\n", | |
"\n", | |
"# Iterate over player information to populate lists\n", | |
"for player_info in general_info[\"elements\"]:\n", | |
" id = player_info[\"id\"]\n", | |
" name = f\"{player_info['first_name']} {player_info['second_name']}\"\n", | |
" team_id = player_info[\"team\"]\n", | |
" cost = player_info[\"now_cost\"]\n", | |
" element_type = player_info[\"element_type\"]\n", | |
" position = get_player_position(element_type)\n", | |
"\n", | |
" home_team, away_team, kickoff_time, is_home = get_player_fixture_info(id, gameweek)\n", | |
"\n", | |
" # Append player data to lists\n", | |
" ids.append(id)\n", | |
" names.append(name)\n", | |
" costs.append(cost)\n", | |
" positions_list.append(position)\n", | |
" my_teams.append(get_team_name(team_id))\n", | |
" home_teams.append(home_team)\n", | |
" away_teams.append(away_team)\n", | |
" kickoff_times.append(kickoff_time)\n", | |
" is_homes.append(is_home)\n", | |
"\n", | |
"# Create a DataFrame to hold all player data\n", | |
"df = pd.DataFrame({\n", | |
" \"id\": ids,\n", | |
" \"name\": names,\n", | |
" \"position\": positions_list,\n", | |
" \"cost\": costs,\n", | |
" \"home_team\": home_teams,\n", | |
" \"away_team\": away_teams,\n", | |
" \"kickoff_time\": kickoff_times,\n", | |
" \"is_home\": is_homes,\n", | |
" \"team_x\": my_teams\n", | |
"})\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"df[df[\"team_x\"]==\"Liverpool\"]" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"df.to_csv(f\"C:\\\\Users\\\\prane\\\\Downloads\\\\FPL\\\\GW_PointsPredictor\\\\Default_data\\\\2023-24\\\\fixtures\\\\GW{gameweek}.csv\")" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3", | |
"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": "3.10.2" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |