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Adicionar modelo world_olympedia_olympics
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models/world_olympedia_olympics/code/[code]world_olympedia_olympics.ipynb
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{ | ||
"nbformat": 4, | ||
"nbformat_minor": 0, | ||
"metadata": { | ||
"colab": { | ||
"provenance": [] | ||
}, | ||
"kernelspec": { | ||
"name": "python3", | ||
"display_name": "Python 3" | ||
}, | ||
"language_info": { | ||
"name": "python" | ||
} | ||
}, | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"# Download datasets (Necessario chave api kaggle)\n", | ||
"\n", | ||
"- Crie uma conta em [Kaggle](https://www.kaggle.com/)\n", | ||
"- Settings\n", | ||
"- Api\n", | ||
"- Create New Token" | ||
], | ||
"metadata": { | ||
"id": "DdcVtltbUNlc" | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"from IPython.display import clear_output\n", | ||
"import pandas as pd\n", | ||
"from datetime import datetime\n", | ||
"import re\n", | ||
"import numpy as np\n", | ||
"import os\n", | ||
"\n", | ||
"! pip install -q opendatasets\n", | ||
"clear_output()\n", | ||
"\n", | ||
"import opendatasets as od\n", | ||
"\n", | ||
"od.download('https://www.kaggle.com/datasets/josephcheng123456/olympic-historical-dataset-from-olympediaorg')" | ||
], | ||
"metadata": { | ||
"id": "rtDRFJrQT2sj" | ||
}, | ||
"execution_count": null, | ||
"outputs": [] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"# Codigos" | ||
], | ||
"metadata": { | ||
"id": "HdWEm92kP4QX" | ||
} | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"## imports" | ||
], | ||
"metadata": { | ||
"id": "5Spt1SLjgu50" | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"def conv_data(valor: str) -> str|None:\n", | ||
" try:\n", | ||
" data_datetime = datetime.strptime(valor, \"%d %B %Y\")\n", | ||
" return data_datetime\n", | ||
" except:\n", | ||
" return None\n", | ||
"\n", | ||
"def get_year(valor: str) -> str|None:\n", | ||
" try:\n", | ||
" year = re.findall(r'\\d{4}', valor)[0]\n", | ||
" return np.int64(year)\n", | ||
" except:\n", | ||
" return pd.NA" | ||
], | ||
"metadata": { | ||
"id": "Jw9dHrsn6bho" | ||
}, | ||
"execution_count": null, | ||
"outputs": [] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"## athlete_bio" | ||
], | ||
"metadata": { | ||
"id": "iFii9f1GewTE" | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"from datetime import datetime\n", | ||
"import re\n", | ||
"import numpy as np\n", | ||
"import os\n", | ||
"\n", | ||
"\n", | ||
"def conv_data(valor: str) -> str|None:\n", | ||
" try:\n", | ||
" data_datetime = datetime.strptime(valor, \"%d %B %Y\")\n", | ||
" return data_datetime\n", | ||
" except:\n", | ||
" return None\n", | ||
"\n", | ||
"def get_year(valor: str) -> str|None:\n", | ||
" try:\n", | ||
" year = re.findall(r'\\d{4}', valor)[0]\n", | ||
" return np.int64(year)\n", | ||
" except:\n", | ||
" return pd.NA\n", | ||
"\n", | ||
"dtypes = {\n", | ||
" \"athlete_id\": str,\n", | ||
" \"name\": str,\n", | ||
" \"sex\": str,\n", | ||
" \"born\": str,\n", | ||
" \"height\": float,\n", | ||
" \"country\": str,\n", | ||
" \"country_noc\": str,\n", | ||
" \"description\": str,\n", | ||
" \"special_notes\": str\n", | ||
" }\n", | ||
"\n", | ||
"df = pd.read_csv(\"/content/olympic-historical-dataset-from-olympediaorg/Olympic_Athlete_Bio.csv\",\n", | ||
" dtype=dtypes)\n", | ||
"\n", | ||
"df.weight = pd.to_numeric(df.weight, errors='coerce')\n", | ||
"\n", | ||
"tdata = df['born'].apply(conv_data)\n", | ||
"anos = df['born'].apply(get_year)\n", | ||
"\n", | ||
"tdata = tdata.dt.strftime('%Y-%m-%d')\n", | ||
"df.born = tdata\n", | ||
"\n", | ||
"df[\"year_born\"] = anos\n", | ||
"\n", | ||
"os.makedirs(\"output\", exist_ok=True)\n", | ||
"\n", | ||
"df.to_csv(\"output/athlete_bio.csv\", index=False)" | ||
], | ||
"metadata": { | ||
"id": "dtuptL0DZ3dL" | ||
}, | ||
"execution_count": null, | ||
"outputs": [] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"## athlete_event_result" | ||
], | ||
"metadata": { | ||
"id": "q_GAqd9pezNj" | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"df = pd.read_csv(\"/content/olympic-historical-dataset-from-olympediaorg/Olympic_Athlete_Event_Results.csv\", dtype=str)\n", | ||
"\n", | ||
"dicionario = {\n", | ||
" 'DNF': 'Did not finish',\n", | ||
" 'DNS': 'Did not start',\n", | ||
" 'DQ': 'Disqualified',\n", | ||
" 'AC': 'Also competed, no definite place known or possibly given',\n", | ||
" 'NH': 'No height',\n", | ||
" 'NM': 'No mark',\n", | ||
" 'NP': 'Not placed, no definite place given',\n", | ||
" 'NVL': 'No valid lift',\n", | ||
" 'MNK': 'Mark not known',\n", | ||
" 'TNK': 'Time not known',\n", | ||
" 'DNQ': 'Did not qualify',\n", | ||
" 'HC': 'Hors concours (art)'}\n", | ||
"\n", | ||
"os.makedirs(\"output\", exist_ok=True)\n", | ||
"\n", | ||
"mask = df.pos.isin(dicionario.keys())\n", | ||
"\n", | ||
"for place, replace in dicionario.items():\n", | ||
" df.loc[mask, \"pos\"] = df.loc[mask, \"pos\"].str.replace(place, replace)\n", | ||
"\n", | ||
"df.to_csv(\"/content/output/athlete_event_result.csv\", index=False)" | ||
], | ||
"metadata": { | ||
"id": "Jp7kH493eVnf" | ||
}, | ||
"execution_count": null, | ||
"outputs": [] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"## game_medal_tally" | ||
], | ||
"metadata": { | ||
"id": "7H7N6J8bgVfc" | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"df = pd.read_csv(\"/content/olympic-historical-dataset-from-olympediaorg/Olympic_Games_Medal_Tally.csv\",\n", | ||
" dtype={\"edition_id\": str})\n", | ||
"\n", | ||
"os.makedirs(\"output\", exist_ok=True)\n", | ||
"\n", | ||
"df.to_csv(\"output/game_medal_tally.csv\", index=False)" | ||
], | ||
"metadata": { | ||
"id": "qY7T15cRgd7-" | ||
}, | ||
"execution_count": null, | ||
"outputs": [] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"## result" | ||
], | ||
"metadata": { | ||
"id": "VfhzG5k3xo5F" | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"df = pd.read_csv(\"/content/olympic-historical-dataset-from-olympediaorg/Olympic_Results.csv\",\n", | ||
" dtype=str)\n", | ||
"\n", | ||
"os.makedirs(\"output\", exist_ok=True)\n", | ||
"\n", | ||
"df.to_csv(\"output/result.csv\", index=False)" | ||
], | ||
"metadata": { | ||
"id": "KG0GjZUoxrzV" | ||
}, | ||
"execution_count": null, | ||
"outputs": [] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"## country" | ||
], | ||
"metadata": { | ||
"id": "PgOFkMmD2oYW" | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"df = pd.read_csv(\"/content/olympic-historical-dataset-from-olympediaorg/Olympics_Country.csv\",\n", | ||
" dtype=str)\n", | ||
"\n", | ||
"os.makedirs(\"output\", exist_ok=True)\n", | ||
"\n", | ||
"df.to_csv(\"output/country.csv\", index=False)" | ||
], | ||
"metadata": { | ||
"id": "jVqnhaHklYIm" | ||
}, | ||
"execution_count": null, | ||
"outputs": [] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"## game" | ||
], | ||
"metadata": { | ||
"id": "3PJoF3tQ6WHm" | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"df = pd.read_csv(\"/content/olympic-historical-dataset-from-olympediaorg/Olympics_Games.csv\",\n", | ||
" dtype={\"edition_id\": str})\n", | ||
"\n", | ||
"start_tdata = df.start_date.str.replace(\" 2021\", \"\") + \" \" + df.year.astype(str) # Uma das datas já se encontra com o ano de 2021, necessario remoção\n", | ||
"end_tdata = df.end_date.str.replace(\" 2021\", \"\") + \" \" + df.year.astype(str)\n", | ||
"\n", | ||
"start_tdata = start_tdata.apply(conv_data)\n", | ||
"end_tdata = end_tdata.apply(conv_data)\n", | ||
"\n", | ||
"df[\"start_date\"] = start_tdata\n", | ||
"df[\"end_date\"] = end_tdata\n", | ||
"\n", | ||
"os.makedirs(\"output\", exist_ok=True)\n", | ||
"\n", | ||
"df.to_csv(\"output/game.csv\", index=False)" | ||
], | ||
"metadata": { | ||
"id": "8iVD-Xom6Xp_" | ||
}, | ||
"execution_count": null, | ||
"outputs": [] | ||
} | ||
] | ||
} |
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