Project_Carmignac/dataloader.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "126c8a80-d9ad-4816-84f0-0c3d580f62c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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": 3,
   "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": 3,
     "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": []
  }
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