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Project_Carmignac/Essai.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "dad4ac5b-b66f-4eab-acbf-51dc708616ef",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Fichiers AUM : ['projet-bdc-data/carmignac/AUM ENSAE V1 -20251027.csv', 'projet-bdc-data/carmignac/AUM ENSAE V2 -20251105.csv']\n"
]
}
],
"source": [
"import os\n",
"import s3fs\n",
"import pandas as pd\n",
"\n",
"s3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
"\n",
"fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': s3_ENDPOINT_URL})\n",
"\n",
"BUCKET = \"projet-bdc-data\"\n",
"carmignac_path = \"projet-bdc-data/carmignac\"\n",
"\n",
"# Liste des fichiers AUM\n",
"all_files = fs.ls(carmignac_path)\n",
"aum_files = [f for f in all_files if \"AUM\" in f and f.endswith(\".csv\")]\n",
"print(\"Fichiers AUM :\", aum_files)\n",
"\n",
"# Lire tous les fichiers dans un dictionnaire\n",
"aum_data = {}\n",
"for file_path in aum_files:\n",
" with fs.open(file_path, 'r') as f:\n",
" df = pd.read_csv(f, sep=';',low_memory=False)\n",
" aum_data[os.path.basename(file_path)] = df\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "68903172-d4f8-4c6e-96f8-578c5b1afe23",
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
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"\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>Agreement - Code</th>\n",
" <th>Company - Id</th>\n",
" <th>Company - Ultimate Parent Id</th>\n",
" <th>Registrar Account - ID</th>\n",
" <th>Registrar Account - Region</th>\n",
" <th>RegistrarAccount - Country</th>\n",
" <th>Product - Asset Type</th>\n",
" <th>Product - Strategy</th>\n",
" <th>Product - Legal Status</th>\n",
" <th>Product - Is Dedie ?</th>\n",
" <th>Product - Fund</th>\n",
" <th>Product - Shareclass Type</th>\n",
" <th>Product - Shareclass Currency</th>\n",
" <th>Product - Isin</th>\n",
" <th>Centralisation Date</th>\n",
" <th>Quantity - AUM</th>\n",
" <th>Value - AUM CCY</th>\n",
" <th>Value - AUM €</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>003</td>\n",
" <td>166</td>\n",
" <td>166</td>\n",
" <td>200000647</td>\n",
" <td>France</td>\n",
" <td>France</td>\n",
" <td>Diversified</td>\n",
" <td>Patrimoine</td>\n",
" <td>FCP</td>\n",
" <td>NO</td>\n",
" <td>Carmignac Patrimoine</td>\n",
" <td>A</td>\n",
" <td>EUR</td>\n",
" <td>FR0010135103</td>\n",
" <td>2015-03-31</td>\n",
" <td>35.368</td>\n",
" <td>24648.6666</td>\n",
" <td>24648.6666</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>003</td>\n",
" <td>166</td>\n",
" <td>166</td>\n",
" <td>200000647</td>\n",
" <td>France</td>\n",
" <td>France</td>\n",
" <td>Diversified</td>\n",
" <td>Patrimoine</td>\n",
" <td>FCP</td>\n",
" <td>NO</td>\n",
" <td>Carmignac Patrimoine</td>\n",
" <td>A</td>\n",
" <td>EUR</td>\n",
" <td>FR0010135103</td>\n",
" <td>2015-11-30</td>\n",
" <td>35.368</td>\n",
" <td>22413.0553</td>\n",
" <td>22413.0553</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>003</td>\n",
" <td>166</td>\n",
" <td>166</td>\n",
" <td>200000647</td>\n",
" <td>France</td>\n",
" <td>France</td>\n",
" <td>Diversified</td>\n",
" <td>Patrimoine</td>\n",
" <td>FCP</td>\n",
" <td>NO</td>\n",
" <td>Carmignac Patrimoine</td>\n",
" <td>A</td>\n",
" <td>EUR</td>\n",
" <td>FR0010135103</td>\n",
" <td>2015-12-31</td>\n",
" <td>35.368</td>\n",
" <td>22051.2406</td>\n",
" <td>22051.2406</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>003</td>\n",
" <td>166</td>\n",
" <td>166</td>\n",
" <td>200000647</td>\n",
" <td>France</td>\n",
" <td>France</td>\n",
" <td>Diversified</td>\n",
" <td>Patrimoine</td>\n",
" <td>FCP</td>\n",
" <td>NO</td>\n",
" <td>Carmignac Patrimoine</td>\n",
" <td>A</td>\n",
" <td>EUR</td>\n",
" <td>FR0010135103</td>\n",
" <td>2016-03-31</td>\n",
" <td>35.368</td>\n",
" <td>21626.1173</td>\n",
" <td>21626.1173</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>003</td>\n",
" <td>166</td>\n",
" <td>166</td>\n",
" <td>200000647</td>\n",
" <td>France</td>\n",
" <td>France</td>\n",
" <td>Diversified</td>\n",
" <td>Patrimoine</td>\n",
" <td>FCP</td>\n",
" <td>NO</td>\n",
" <td>Carmignac Patrimoine</td>\n",
" <td>A</td>\n",
" <td>EUR</td>\n",
" <td>FR0010135103</td>\n",
" <td>2016-11-30</td>\n",
" <td>35.368</td>\n",
" <td>22489.4502</td>\n",
" <td>22489.4502</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Agreement - Code Company - Id Company - Ultimate Parent Id \\\n",
"0 003 166 166 \n",
"1 003 166 166 \n",
"2 003 166 166 \n",
"3 003 166 166 \n",
"4 003 166 166 \n",
"\n",
" Registrar Account - ID Registrar Account - Region \\\n",
"0 200000647 France \n",
"1 200000647 France \n",
"2 200000647 France \n",
"3 200000647 France \n",
"4 200000647 France \n",
"\n",
" RegistrarAccount - Country Product - Asset Type Product - Strategy \\\n",
"0 France Diversified Patrimoine \n",
"1 France Diversified Patrimoine \n",
"2 France Diversified Patrimoine \n",
"3 France Diversified Patrimoine \n",
"4 France Diversified Patrimoine \n",
"\n",
" Product - Legal Status Product - Is Dedie ? Product - Fund \\\n",
"0 FCP NO Carmignac Patrimoine \n",
"1 FCP NO Carmignac Patrimoine \n",
"2 FCP NO Carmignac Patrimoine \n",
"3 FCP NO Carmignac Patrimoine \n",
"4 FCP NO Carmignac Patrimoine \n",
"\n",
" Product - Shareclass Type Product - Shareclass Currency Product - Isin \\\n",
"0 A EUR FR0010135103 \n",
"1 A EUR FR0010135103 \n",
"2 A EUR FR0010135103 \n",
"3 A EUR FR0010135103 \n",
"4 A EUR FR0010135103 \n",
"\n",
" Centralisation Date Quantity - AUM Value - AUM CCY Value - AUM € \n",
"0 2015-03-31 35.368 24648.6666 24648.6666 \n",
"1 2015-11-30 35.368 22413.0553 22413.0553 \n",
"2 2015-12-31 35.368 22051.2406 22051.2406 \n",
"3 2016-03-31 35.368 21626.1173 21626.1173 \n",
"4 2016-11-30 35.368 22489.4502 22489.4502 "
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Données AUM V2\n",
"df = aum_data['AUM ENSAE V2 -20251105.csv']\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "22042f8f-1492-44a4-a492-5074ef1dc9f6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"4880297\n"
]
}
],
"source": [
"print(len(df))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "0fff2ef5-35dd-41d3-a8c2-72e4eb30bfcf",
"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>Agreement - Code</th>\n",
" <th>Company - Id</th>\n",
" <th>Company - Ultimate Parent Id</th>\n",
" <th>Registrar Account - ID</th>\n",
" <th>Registrar Account - Region</th>\n",
" <th>RegistrarAccount - Country</th>\n",
" <th>Product - Asset Type</th>\n",
" <th>Product - Strategy</th>\n",
" <th>Product - Legal Status</th>\n",
" <th>Product - Is Dedie ?</th>\n",
" <th>Product - Fund</th>\n",
" <th>Product - Shareclass Type</th>\n",
" <th>Product - Shareclass Currency</th>\n",
" <th>Product - Isin</th>\n",
" <th>Centralisation Date</th>\n",
" <th>Quantity - AUM</th>\n",
" <th>Value - AUM CCY</th>\n",
" <th>Value - AUM €</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>003</td>\n",
" <td>166</td>\n",
" <td>166</td>\n",
" <td>200000647</td>\n",
" <td>France</td>\n",
" <td>France</td>\n",
" <td>Diversified</td>\n",
" <td>Patrimoine</td>\n",
" <td>FCP</td>\n",
" <td>NO</td>\n",
" <td>Carmignac Patrimoine</td>\n",
" <td>A</td>\n",
" <td>EUR</td>\n",
" <td>FR0010135103</td>\n",
" <td>2015-03-31</td>\n",
" <td>35.368</td>\n",
" <td>24648.6666</td>\n",
" <td>24648.6666</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>003</td>\n",
" <td>166</td>\n",
" <td>166</td>\n",
" <td>200000647</td>\n",
" <td>France</td>\n",
" <td>France</td>\n",
" <td>Diversified</td>\n",
" <td>Patrimoine</td>\n",
" <td>FCP</td>\n",
" <td>NO</td>\n",
" <td>Carmignac Patrimoine</td>\n",
" <td>A</td>\n",
" <td>EUR</td>\n",
" <td>FR0010135103</td>\n",
" <td>2015-11-30</td>\n",
" <td>35.368</td>\n",
" <td>22413.0553</td>\n",
" <td>22413.0553</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>003</td>\n",
" <td>166</td>\n",
" <td>166</td>\n",
" <td>200000647</td>\n",
" <td>France</td>\n",
" <td>France</td>\n",
" <td>Diversified</td>\n",
" <td>Patrimoine</td>\n",
" <td>FCP</td>\n",
" <td>NO</td>\n",
" <td>Carmignac Patrimoine</td>\n",
" <td>A</td>\n",
" <td>EUR</td>\n",
" <td>FR0010135103</td>\n",
" <td>2015-12-31</td>\n",
" <td>35.368</td>\n",
" <td>22051.2406</td>\n",
" <td>22051.2406</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>003</td>\n",
" <td>166</td>\n",
" <td>166</td>\n",
" <td>200000647</td>\n",
" <td>France</td>\n",
" <td>France</td>\n",
" <td>Diversified</td>\n",
" <td>Patrimoine</td>\n",
" <td>FCP</td>\n",
" <td>NO</td>\n",
" <td>Carmignac Patrimoine</td>\n",
" <td>A</td>\n",
" <td>EUR</td>\n",
" <td>FR0010135103</td>\n",
" <td>2016-03-31</td>\n",
" <td>35.368</td>\n",
" <td>21626.1173</td>\n",
" <td>21626.1173</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>003</td>\n",
" <td>166</td>\n",
" <td>166</td>\n",
" <td>200000647</td>\n",
" <td>France</td>\n",
" <td>France</td>\n",
" <td>Diversified</td>\n",
" <td>Patrimoine</td>\n",
" <td>FCP</td>\n",
" <td>NO</td>\n",
" <td>Carmignac Patrimoine</td>\n",
" <td>A</td>\n",
" <td>EUR</td>\n",
" <td>FR0010135103</td>\n",
" <td>2016-11-30</td>\n",
" <td>35.368</td>\n",
" <td>22489.4502</td>\n",
" <td>22489.4502</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Agreement - Code Company - Id Company - Ultimate Parent Id \\\n",
"0 003 166 166 \n",
"1 003 166 166 \n",
"2 003 166 166 \n",
"3 003 166 166 \n",
"4 003 166 166 \n",
"\n",
" Registrar Account - ID Registrar Account - Region \\\n",
"0 200000647 France \n",
"1 200000647 France \n",
"2 200000647 France \n",
"3 200000647 France \n",
"4 200000647 France \n",
"\n",
" RegistrarAccount - Country Product - Asset Type Product - Strategy \\\n",
"0 France Diversified Patrimoine \n",
"1 France Diversified Patrimoine \n",
"2 France Diversified Patrimoine \n",
"3 France Diversified Patrimoine \n",
"4 France Diversified Patrimoine \n",
"\n",
" Product - Legal Status Product - Is Dedie ? Product - Fund \\\n",
"0 FCP NO Carmignac Patrimoine \n",
"1 FCP NO Carmignac Patrimoine \n",
"2 FCP NO Carmignac Patrimoine \n",
"3 FCP NO Carmignac Patrimoine \n",
"4 FCP NO Carmignac Patrimoine \n",
"\n",
" Product - Shareclass Type Product - Shareclass Currency Product - Isin \\\n",
"0 A EUR FR0010135103 \n",
"1 A EUR FR0010135103 \n",
"2 A EUR FR0010135103 \n",
"3 A EUR FR0010135103 \n",
"4 A EUR FR0010135103 \n",
"\n",
" Centralisation Date Quantity - AUM Value - AUM CCY Value - AUM € \n",
"0 2015-03-31 35.368 24648.6666 24648.6666 \n",
"1 2015-11-30 35.368 22413.0553 22413.0553 \n",
"2 2015-12-31 35.368 22051.2406 22051.2406 \n",
"3 2016-03-31 35.368 21626.1173 21626.1173 \n",
"4 2016-11-30 35.368 22489.4502 22489.4502 "
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_200000647 = df[df['Registrar Account - ID'] == '200000647'].copy()\n",
"\n",
"df_200000647.head()\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "54b7ab00-a39e-4ca5-8a92-fa9ca93d69d4",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"12501\n"
]
}
],
"source": [
"# Liste unique des Registrar Account - ID\n",
"registrar_ids = df['Registrar Account - ID'].unique()\n",
"\n",
"# Afficher\n",
"print(len(registrar_ids))\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "090b2eae-889b-44b3-9a73-cd0cd0734191",
"metadata": {},
"outputs": [],
"source": [
"# Evolution stock d'un compte\n",
"\n",
"import matplotlib.pyplot as plt\n",
"\n",
"def evolution(id=None, n=None):\n",
"\n",
" if id is None :\n",
" registrar_ids = df['Registrar Account - ID'].unique()\n",
" id = registrar_ids[n]\n",
" \n",
" df_id = df[df['Registrar Account - ID'] == id].copy()\n",
" \n",
" # Conversion de la colonne Centralisation Date en datetime si ce n'est pas déjà fait\n",
" df_id['Centralisation Date'] = pd.to_datetime(df_id['Centralisation Date'])\n",
"\n",
" # Tri par date\n",
" df_id = df_id.sort_values('Centralisation Date')\n",
" df_id.set_index('Centralisation Date', inplace=True)\n",
"\n",
" # Aggrégation\n",
" df_agg = df_id.groupby('Centralisation Date')['Quantity - AUM'].sum().reset_index()\n",
" \n",
" plt.figure(figsize=(10,5))\n",
" plt.plot(df_agg['Centralisation Date'], df_agg['Quantity - AUM'], marker='.',linestyle='-')\n",
" plt.title(f'Évolution de la quantité d’actifs sous gestion - Account ID{id}')\n",
" plt.xlabel('Date')\n",
" plt.ylabel('Quantity - AUM')\n",
" plt.grid(True)\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "9f984cb5-fa9c-48fa-a547-c7139d44d3fc",
"metadata": {},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1000x500 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"evolution(n=0)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "4d11701e-8a6a-4879-bc8a-c233e13d56b6",
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"import pandas as pd\n",
"\n",
"def evolution_2_comptes(id1, id2):\n",
" def prepare_df(id):\n",
" df_id = df[df['Registrar Account - ID'] == id].copy()\n",
" df_id['Centralisation Date'] = pd.to_datetime(df_id['Centralisation Date'])\n",
" df_agg = (\n",
" df_id\n",
" .groupby('Centralisation Date')['Quantity - AUM']\n",
" .sum()\n",
" .reset_index()\n",
" .sort_values('Centralisation Date')\n",
" )\n",
" return df_agg\n",
"\n",
" df1 = prepare_df(id1)\n",
" df2 = prepare_df(id2)\n",
"\n",
" plt.figure(figsize=(12, 6))\n",
"\n",
" # Courbe du premier compte\n",
" plt.plot(df1['Centralisation Date'], df1['Quantity - AUM'],\n",
" marker='.', linestyle='-', label=f'Account {id1}')\n",
"\n",
" # Courbe du second compte\n",
" plt.plot(df2['Centralisation Date'], df2['Quantity - AUM'],\n",
" marker='.', linestyle='-', label=f'Account {id2}')\n",
"\n",
" plt.title(\"Évolution des AUM pour deux comptes\")\n",
" plt.xlabel(\"Date\")\n",
" plt.ylabel(\"Quantity - AUM\")\n",
" plt.grid(True)\n",
" plt.legend() # <- important pour distinguer les comptes\n",
" plt.tight_layout()\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "945bbd98-bec1-4415-ba48-7b296115f39e",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1200x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"evolution_2_comptes('365377','365409')"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "1443ecd5-4e87-4306-945a-64a9ed4f7c3e",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1200x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"evolution_2_comptes('200000240','200090163')"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "6d95d61e-98ce-4c8c-9ac1-4461676fced3",
"metadata": {},
"outputs": [],
"source": [
"def caracteristiques_compte(df, account_id):\n",
" \"\"\"\n",
" Renvoie un résumé clair des caractéristiques d'un compte donné.\n",
" df : dataframe complet\n",
" account_id : Registrar Account - ID\n",
" \"\"\"\n",
"\n",
" # Colonnes à extraire\n",
" colonnes = [\n",
" 'Agreement - Code',\n",
" 'Company - Id',\n",
" 'Company - Ultimate Parent Id',\n",
" 'Registrar Account - Region',\n",
" 'RegistrarAccount - Country',\n",
" 'Product - Asset Type',\n",
" 'Product - Strategy',\n",
" 'Product - Legal Status',\n",
" 'Product - Is Dedie ?',\n",
" 'Product - Fund',\n",
" 'Product - Shareclass Type',\n",
" 'Product - Shareclass Currency'\n",
" ]\n",
"\n",
" # Filtrage du compte\n",
" df_compte = df[df['Registrar Account - ID'] == account_id]\n",
"\n",
" if df_compte.empty:\n",
" print(f\"Aucun enregistrement trouvé pour le compte {account_id}.\")\n",
" return None\n",
"\n",
" # Résumé : valeurs uniques par colonne\n",
" resume = {\n",
" col: sorted(df_compte[col].dropna().unique().tolist())\n",
" for col in colonnes\n",
" }\n",
"\n",
" # Affichage propre\n",
" print(f\" Caractéristiques du compte {account_id}\")\n",
" print(\"-\" * 50)\n",
" for col, val in resume.items():\n",
" # On affiche une seule valeur si elle est unique\n",
" if len(val) == 1:\n",
" print(f\"{col} : {val[0]}\")\n",
" else:\n",
" print(f\"{col} : {val}\")\n",
" print(\"-\" * 50)\n",
"\n",
" #return resume\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "f3d2fd2e-d1c3-4590-8f10-b58942d3330f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Caractéristiques du compte 365377\n",
"--------------------------------------------------\n",
"Agreement - Code : L262\n",
"Company - Id : 4438\n",
"Company - Ultimate Parent Id : 27222\n",
"Registrar Account - Region : Italy\n",
"RegistrarAccount - Country : Italy\n",
"Product - Asset Type : ['Diversified', 'Equity', 'Fixed Income']\n",
"Product - Strategy : ['Climate Transition', 'Court Terme', 'Credit', 'Emerging Patrimoine', 'Grande Europe', 'Investissement', 'Patrimoine', 'Patrimoine Europe', 'Sécurité']\n",
"Product - Legal Status : ['FCP', 'SICAV']\n",
"Product - Is Dedie ? : NO\n",
"Product - Fund : ['Carmignac Court Terme', 'Carmignac Investissement', 'Carmignac Patrimoine', 'Carmignac Portfolio Climate Transition', 'Carmignac Portfolio Credit', 'Carmignac Portfolio Emerging Patrimoine', 'Carmignac Portfolio Grande Europe', 'Carmignac Portfolio Patrimoine Europe', 'Carmignac Portfolio Sécurité', 'Carmignac Sécurité']\n",
"Product - Shareclass Type : ['A', 'AW & AW-R', 'F', 'FW & FW-R']\n",
"Product - Shareclass Currency : EUR\n",
"--------------------------------------------------\n",
" Caractéristiques du compte 365409\n",
"--------------------------------------------------\n",
"Agreement - Code : L262\n",
"Company - Id : 4438\n",
"Company - Ultimate Parent Id : 27222\n",
"Registrar Account - Region : Italy\n",
"RegistrarAccount - Country : Italy\n",
"Product - Asset Type : ['Alternative', 'Diversified', 'Equity', 'Fixed Income']\n",
"Product - Strategy : ['Climate Transition', 'Court Terme', 'Credit', 'Grande Europe', 'Innovation', 'Investissement', 'Large Cap Emerging Markets Strategy', 'Long-Short European Equities', 'Patrimoine', 'Sécurité']\n",
"Product - Legal Status : ['FCP', 'SICAV']\n",
"Product - Is Dedie ? : NO\n",
"Product - Fund : ['Carmignac Court Terme', 'Carmignac Emergents', 'Carmignac Innovation', 'Carmignac Investissement', 'Carmignac Patrimoine', 'Carmignac Portfolio Climate Transition', 'Carmignac Portfolio Credit', 'Carmignac Portfolio Grande Europe', 'Carmignac Portfolio Long-Short European Equities', 'Carmignac Portfolio Patrimoine', 'Carmignac Portfolio Sécurité', 'Carmignac Sécurité']\n",
"Product - Shareclass Type : ['A', 'AW & AW-R', 'E', 'F', 'FW & FW-R']\n",
"Product - Shareclass Currency : EUR\n",
"--------------------------------------------------\n"
]
}
],
"source": [
"caracteristiques_compte(df, '365377')\n",
"caracteristiques_compte(df, '365409')"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "428fa3a9-2ed6-476a-a552-e5bdaf4f1f56",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Product - Asset Type\n",
"Equity 2023860\n",
"Diversified 1377424\n",
"Fixed Income 948728\n",
"Alternative 214235\n",
"Private Assets 219\n",
"Name: count, dtype: int64\n"
]
}
],
"source": [
"import pandas as pd\n",
"\n",
"# Comptage du nombre de comptes distincts par type d’asset\n",
"result = df.groupby(\"Product - Asset Type\")[\"Registrar Account - ID\"].nunique().reset_index()\n",
"\n",
"# Renommage de colonne pour plus de clarté\n",
"result = result.rename(columns={\"Registrar Account - ID\": \"Nombre de comptes\"})\n",
"\n",
"result = df[\"Product - Asset Type\"].value_counts()\n",
"print(result)\n"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "adc9e4c3-54e8-435f-af50-bce48ae7a401",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"RegistrarAccount - Country\n",
"France 2200046\n",
"Italy 699749\n",
"Switzerland 430383\n",
"Spain 325147\n",
"Luxembourg 320383\n",
"Germany 248409\n",
"Belgium 196894\n",
"United Kingdom 181071\n",
"Us Offshore 63949\n",
"Netherlands 55772\n",
"Latam 39207\n",
"Monaco 24416\n",
"Austria 19310\n",
"Singapore 16475\n",
"Sweden 14425\n",
"Portugal 7519\n",
"Israel 6459\n",
"Hong Kong 5336\n",
"Liechtenstein 5244\n",
"Unknown 4551\n",
"Denmark 2554\n",
"Mauritius 2052\n",
"Malta 1748\n",
"Ireland 1682\n",
"United Arab Emirates 1515\n",
"Greece 1253\n",
"International 1223\n",
"Taiwan 995\n",
"Canada 713\n",
"Finland 394\n",
"Czech Republic 294\n",
"Japan 260\n",
"Poland 209\n",
"South Korea 160\n",
"Bahamas 160\n",
"Lithuania 122\n",
"South Africa 94\n",
"United States 80\n",
"Norway 44\n",
"Name: count, dtype: int64\n"
]
}
],
"source": [
"import pandas as pd\n",
"\n",
"# Comptage du nombre de comptes distincts par type d’asset\n",
"result = df.groupby(\"RegistrarAccount - Country\")[\"Registrar Account - ID\"].nunique().reset_index()\n",
"\n",
"# Renommage de colonne pour plus de clarté\n",
"result = result.rename(columns={\"Registrar Account - ID\": \"Nombre de comptes\"})\n",
"\n",
"result = df[\"RegistrarAccount - Country\"].value_counts()\n",
"print(result)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "bd189ebf-7266-45ce-931c-89b3b9ccbd02",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"4841\n"
]
}
],
"source": [
"aum_max = df.groupby('Registrar Account - ID')['Quantity - AUM'].max()\n",
"accounts_always_zero = aum_max[aum_max == 0].index\n",
"aum_max.head()\n",
"print(len(accounts_always_zero))"
]
}
],
"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": "3.13.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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