Ajout et sauvegarde
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@ -93,16 +93,106 @@
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 56,
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"execution_count": 4,
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"id": "09daec01-9927-45c7-a6d4-9b9d0340ee02",
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"id": "09daec01-9927-45c7-a6d4-9b9d0340ee02",
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"companies = {'musee' : ['1', '2', '3', '4', '101'],\n",
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"companies = {'musee' : ['1', '2', '3', '4'], # , '101'\n",
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" 'sport': ['5', '6', '7', '8', '9'],\n",
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" 'sport': ['5', '6', '7', '8', '9'],\n",
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" 'musique' : ['10', '11', '12', '13', '14']}"
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" 'musique' : ['10', '11', '12', '13', '14']}"
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"cell_type": "code",
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"execution_count": null,
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"id": "d9ccb033-3c7a-4647-ae1a-3a439dec2ea1",
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"name": "stdout",
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"text": [
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"File path : projet-bdc2324-team1/0_Input/Company_1/customerplus_cleaned.csv\n"
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"text": [
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"<string>:13: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n"
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"File path : projet-bdc2324-team1/0_Input/Company_1/campaigns_information.csv\n"
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"text": [
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"<string>:13: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n"
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"source": [
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"# création des bases contenant les KPI pour les 5 compagnies de spectacle\n",
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"\n",
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"# liste des compagnies de spectacle\n",
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"nb_compagnie= companies['musee']\n",
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"\n",
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"customer_sport = pd.DataFrame()\n",
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"campaigns_sport_brut = pd.DataFrame()\n",
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"campaigns_sport_kpi = pd.DataFrame()\n",
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"products_sport = pd.DataFrame()\n",
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"tickets_sport = pd.DataFrame()\n",
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"\n",
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"# début de la boucle permettant de générer des datasets agrégés pour les 5 compagnies de spectacle\n",
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"for directory_path in nb_compagnie:\n",
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" df_customerplus_clean_0 = display_databases(directory_path, file_name = \"customerplus_cleaned\")\n",
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" df_campaigns_brut = display_databases(directory_path, file_name = \"campaigns_information\", datetime_col = ['opened_at', 'sent_at', 'campaign_sent_at'])\n",
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" df_products_purchased_reduced = display_databases(directory_path, file_name = \"products_purchased_reduced\", datetime_col = ['purchase_date'])\n",
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" df_target_information = display_databases(directory_path, file_name = \"target_information\")\n",
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" \n",
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" df_campaigns_kpi = campaigns_kpi_function(campaigns_information = df_campaigns_brut) \n",
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" df_tickets_kpi = tickets_kpi_function(tickets_information = df_products_purchased_reduced)\n",
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" df_customerplus_clean = customerplus_kpi_function(customerplus_clean = df_customerplus_clean_0)\n",
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"\n",
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" \n",
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"# creation de la colonne Number compagnie, qui permettra d'agréger les résultats\n",
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" df_tickets_kpi[\"number_company\"]=int(directory_path)\n",
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" df_campaigns_brut[\"number_company\"]=int(directory_path)\n",
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" df_campaigns_kpi[\"number_company\"]=int(directory_path)\n",
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" df_customerplus_clean[\"number_company\"]=int(directory_path)\n",
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" df_target_information[\"number_company\"]=int(directory_path)\n",
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"\n",
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"# Traitement des index\n",
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" df_tickets_kpi[\"customer_id\"]= directory_path + '_' + df_tickets_kpi['customer_id'].astype('str')\n",
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" df_campaigns_brut[\"customer_id\"]= directory_path + '_' + df_campaigns_brut['customer_id'].astype('str')\n",
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" df_campaigns_kpi[\"customer_id\"]= directory_path + '_' + df_campaigns_kpi['customer_id'].astype('str') \n",
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" df_customerplus_clean[\"customer_id\"]= directory_path + '_' + df_customerplus_clean['customer_id'].astype('str') \n",
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" df_products_purchased_reduced[\"customer_id\"]= directory_path + '_' + df_products_purchased_reduced['customer_id'].astype('str') \n",
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"\n",
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"# Concaténation\n",
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" customer_sport = pd.concat([customer_sport, df_customerplus_clean], ignore_index=True)\n",
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" campaigns_sport_kpi = pd.concat([campaigns_sport_kpi, df_campaigns_kpi], ignore_index=True)\n",
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" campaigns_sport_brut = pd.concat([campaigns_sport_brut, df_campaigns_brut], ignore_index=True) \n",
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" tickets_sport = pd.concat([tickets_sport, df_tickets_kpi], ignore_index=True)\n",
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" products_sport = pd.concat([products_sport, df_products_purchased_reduced], ignore_index=True)\n",
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" "
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "105862bd-5d66-45ed-be71-ec6e1e103963",
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"metadata": {},
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"outputs": [],
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"source": []
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{
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"cell_type": "markdown",
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"cell_type": "markdown",
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"id": "ae3c0c33-55a7-4a28-9a62-3ce13496917a",
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"id": "ae3c0c33-55a7-4a28-9a62-3ce13496917a",
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@ -1247,115 +1337,10 @@
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"# 1 - Comportement d'achat"
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"# 1 - Comportement d'achat"
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"cell_type": "code",
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"execution_count": 34,
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"id": "8917cc1b-4728-460c-8432-a633de7f039b",
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"metadata": {},
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"output_type": "stream",
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"text": [
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"File path : projet-bdc2324-team1/0_Input/Company_1/products_purchased_reduced.csv\n"
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"<string>:13: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n"
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"File path : projet-bdc2324-team1/0_Input/Company_2/products_purchased_reduced.csv\n"
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"<string>:13: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n"
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"File path : projet-bdc2324-team1/0_Input/Company_3/products_purchased_reduced.csv\n"
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"<string>:13: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n"
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"File path : projet-bdc2324-team1/0_Input/Company_4/products_purchased_reduced.csv\n"
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"<string>:13: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n",
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"<string>:13: DtypeWarning: Columns (12) have mixed types. Specify dtype option on import or set low_memory=False.\n"
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"text": [
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"File path : projet-bdc2324-team1/0_Input/Company_101/products_purchased_reduced.csv\n"
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"<string>:13: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n"
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"text": [
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"File path : projet-bdc2324-team1/0_Input/Company_101/products_purchased_reduced_1.csv\n"
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"<string>:13: FutureWarning: The argument 'date_parser' is deprecated and will be removed in a future version. Please use 'date_format' instead, or read your data in as 'object' dtype and then call 'to_datetime'.\n"
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"source": [
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"for company_number in ['1', '2', '3', '4', '101'] :\n",
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" nom_dataframe = 'df'+ company_number +'_tickets'\n",
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" globals()[nom_dataframe] = display_databases(company_number, file_name = 'products_purchased_reduced' , datetime_col = ['purchase_date'])\n",
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"\n",
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" if company_number == \"101\" :\n",
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" df101_tickets_1 = display_databases(company_number, file_name = 'products_purchased_reduced_1' , datetime_col = ['purchase_date'])\n",
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"\n",
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" "
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"cell_type": "markdown",
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"cell_type": "markdown",
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"id": "3479960c-0d23-45f1-8fff-d87395205731",
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"id": "3479960c-0d23-45f1-8fff-d87395205731",
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"metadata": {
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"metadata": {},
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"jp-MarkdownHeadingCollapsed": true
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"source": [
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"source": [
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"## Outlier"
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"## Outlier"
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]
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]
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