59 lines
1.5 KiB
Plaintext
59 lines
1.5 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "132a1aa1-4cb9-49e7-9f45-c09dd8fd57c1",
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"import s3fs\n",
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"import pandas as pd\n",
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"\n",
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"s3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
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"\n",
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"fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': s3_ENDPOINT_URL})\n",
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"\n",
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"BUCKET = \"projet-bdc-data\"\n",
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"carmignac_path = \"projet-bdc-data/carmignac\"\n",
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"\n",
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"# Liste des fichiers AUM\n",
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"all_files = fs.ls(carmignac_path)\n",
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"aum_files = [f for f in all_files if \"AUM\" in f and f.endswith(\".csv\")]\n",
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"print(\"Fichiers AUM :\", aum_files)\n",
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"\n",
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"# Lire tous les fichiers dans un dictionnaire\n",
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"aum_data = {}\n",
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"for file_path in aum_files:\n",
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" with fs.open(file_path, 'r') as f:\n",
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" df = pd.read_csv(f, sep=';',low_memory=False)\n",
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" aum_data[os.path.basename(file_path)] = df\n",
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"\n",
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"df = aum_data['AUM ENSAE V2 -20251105.csv']"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.8"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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