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paco-dev #2

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pgoze-ensae merged 39 commits from paco-dev into main 2026-04-13 21:51:04 +02:00
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6 changed files with 28 additions and 208 deletions
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6
.ipynb_checkpoints/dataloader-checkpoint.ipynb
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{
"cells": [],
"metadata": {},
"nbformat": 4,
"nbformat_minor": 5
}

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Data_Exploration/explore.ipynb Normal file
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{
"cells": [
{
"cell_type": "markdown",
"id": "bd938e6e",
"metadata": {},
"source": [
"**Short notebook to test connectivity with S3 services and explore the data**"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8c4e04e6",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

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README.md Normal file
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Carmignac Project

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Readme.md
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#Carmignac Project

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dataloader.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "126c8a80-d9ad-4816-84f0-0c3d580f62c8",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "ff2261fb-9516-4410-b42d-3acc8dc1a460",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import s3fs\n",
"os.environ[\"AWS_ACCESS_KEY_ID\"] = 'N1DBJCHI7YTK9AVMG6XT'\n",
"os.environ[\"AWS_SECRET_ACCESS_KEY\"] = 'SRCPMh8a1eQxX6Z09GeDxZoD55MBpnkJzyBctLII'\n",
"os.environ[\"AWS_SESSION_TOKEN\"] = 'eyJhbGciOiJIUzUxMiIsInR5cCI6IkpXVCJ9.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.sLXOE8w930_dXU0yNWroaDvaTvcUUCONMcbgbKeMEduQebXQjOS7gEQxo-I7Q2oqLFb_dhg1zBlwx5VpNjyTMA'\n",
"os.environ[\"AWS_DEFAULT_REGION\"] = 'us-east-1'\n",
"fs = s3fs.S3FileSystem(\n",
" client_kwargs={'endpoint_url': 'https://'+'minio-simple.lab.groupe-genes.fr'},\n",
" key = os.environ[\"AWS_ACCESS_KEY_ID\"], \n",
" secret = os.environ[\"AWS_SECRET_ACCESS_KEY\"], \n",
" token = os.environ[\"AWS_SESSION_TOKEN\"])"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "dc546698-76dc-4eaf-b9e2-7602953bf8f5",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Morningstar Global Asset Class</th>\n",
" <th>Morningstar Global Category</th>\n",
" <th>Morningstar Category</th>\n",
" <th>Combined Country</th>\n",
" <th>Combined Channel Type</th>\n",
" <th>Combined Type</th>\n",
" <th>Month/Year (Record Date)</th>\n",
" <th>Combined Net Assets</th>\n",
" <th>Combined Net Sales</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Luxembourg</td>\n",
" <td>Proprietary</td>\n",
" <td>Domestic</td>\n",
" <td>Jan 2015</td>\n",
" <td>11170000.0</td>\n",
" <td>799301.47</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Luxembourg</td>\n",
" <td>Proprietary</td>\n",
" <td>Domestic</td>\n",
" <td>Feb 2015</td>\n",
" <td>21210000.0</td>\n",
" <td>8922456.46</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Luxembourg</td>\n",
" <td>Proprietary</td>\n",
" <td>Domestic</td>\n",
" <td>Mar 2015</td>\n",
" <td>23670000.0</td>\n",
" <td>1718627.81</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Luxembourg</td>\n",
" <td>Proprietary</td>\n",
" <td>Domestic</td>\n",
" <td>Apr 2015</td>\n",
" <td>22720000.0</td>\n",
" <td>-670097.35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Luxembourg</td>\n",
" <td>Proprietary</td>\n",
" <td>Domestic</td>\n",
" <td>May 2015</td>\n",
" <td>23550000.0</td>\n",
" <td>204625.93</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Morningstar Global Asset Class Morningstar Global Category \\\n",
"0 NaN NaN \n",
"1 NaN NaN \n",
"2 NaN NaN \n",
"3 NaN NaN \n",
"4 NaN NaN \n",
"\n",
" Morningstar Category Combined Country Combined Channel Type Combined Type \\\n",
"0 NaN Luxembourg Proprietary Domestic \n",
"1 NaN Luxembourg Proprietary Domestic \n",
"2 NaN Luxembourg Proprietary Domestic \n",
"3 NaN Luxembourg Proprietary Domestic \n",
"4 NaN Luxembourg Proprietary Domestic \n",
"\n",
" Month/Year (Record Date) Combined Net Assets Combined Net Sales \n",
"0 Jan 2015 11170000.0 799301.47 \n",
"1 Feb 2015 21210000.0 8922456.46 \n",
"2 Mar 2015 23670000.0 1718627.81 \n",
"3 Apr 2015 22720000.0 -670097.35 \n",
"4 May 2015 23550000.0 204625.93 "
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with fs.open('projet-bdc-data/carmignac/Data Modélisation/market data/broadridge_Global Market data MS.csv', 'rb') as f:\n",
" df = pd.read_csv(f)\n",
"\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7494bffd-83b5-42e2-b17e-d04c90f3b59e",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.13.8"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

0
test_upload.py
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