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stat_desc_finale

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Fanta RODRIGUE 2024-03-02 12:32:54 +00:00
parent 169ce53c88
commit 9dd9bd45e2
1 changed files with 107 additions and 699 deletions
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Spectacle/Stat_desc.ipynb
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@ -89,31 +89,6 @@
" return df \n"
]
},
{
"cell_type": "markdown",
"id": "e22eb500-80da-4dd9-8b20-9e4deec64831",
"metadata": {},
"source": [
"nb_compagnie=['10','11','12','13','14']\n",
"for directory_path in nb_compagnie:\n",
" df_customerplus_clean = display_databases(directory_path, file_name = \"customerplus_cleaned\")\n",
" df_campaigns_information = display_databases(directory_path, file_name = \"campaigns_information\", datetime_col = ['opened_at', 'sent_at', 'campaign_sent_at'])\n",
" df_products_purchased_reduced = display_databases(directory_path, file_name = \"products_purchased_reduced\", datetime_col = ['purchase_date'])\n",
" df_customerplus_clean[\"Number_compagnie\"]=int(directory_path)\n",
" df_campaigns_information[\"Number_compagnie\"]=int(directory_path)\n",
" df_products_purchased_reduced[\"Number_compagnie\"]=int(directory_path)\n",
"\n",
" if nb_compagnie.index(directory_path)>=1:\n",
" customerplus_clean_spectacle=pd.concat([customerplus_clean_spectacle,df_customerplus_clean],axis=0)\n",
" campaigns_information_spectacle=pd.concat([campaigns_information_spectacle,df_campaigns_information],axis=0)\n",
" products_purchased_reduced_spectacle=pd.concat([products_purchased_reduced_spectacle,df_products_purchased_reduced],axis=0)\n",
" else:\n",
" customerplus_clean_spectacle=df_customerplus_clean\n",
" campaigns_information_spectacle=df_campaigns_information\n",
" products_purchased_reduced_spectacle=df_products_purchased_reduced\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 6,
@ -131,7 +106,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8330/2987234667.py:8: 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",
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n"
]
},
@ -146,7 +121,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8330/2987234667.py:8: 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",
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n"
]
},
@ -161,7 +136,22 @@
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8330/2987234667.py:8: 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",
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"File path : projet-bdc2324-team1/0_Input/Company_10/target_information.csv\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n",
"<string>:27: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
@ -180,7 +170,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8330/2987234667.py:8: 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",
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n"
]
},
@ -195,7 +185,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8330/2987234667.py:8: 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",
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n"
]
},
@ -210,7 +200,22 @@
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8330/2987234667.py:8: 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",
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"File path : projet-bdc2324-team1/0_Input/Company_11/target_information.csv\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n",
"<string>:27: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
@ -229,7 +234,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8330/2987234667.py:8: 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",
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n"
]
},
@ -244,7 +249,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8330/2987234667.py:8: 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",
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n"
]
},
@ -259,9 +264,24 @@
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8330/2987234667.py:8: 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",
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n",
"/tmp/ipykernel_8330/2987234667.py:8: DtypeWarning: Columns (4,8,10) have mixed types. Specify dtype option on import or set low_memory=False.\n",
"/tmp/ipykernel_16962/2987234667.py:8: DtypeWarning: Columns (4,8,10) have mixed types. Specify dtype option on import or set low_memory=False.\n",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"File path : projet-bdc2324-team1/0_Input/Company_12/target_information.csv\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n",
"<string>:27: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
@ -280,7 +300,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8330/2987234667.py:8: 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",
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n"
]
},
@ -295,7 +315,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8330/2987234667.py:8: 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",
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n"
]
},
@ -310,7 +330,22 @@
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8330/2987234667.py:8: 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",
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"File path : projet-bdc2324-team1/0_Input/Company_13/target_information.csv\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n",
"<string>:27: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
@ -329,7 +364,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8330/2987234667.py:8: 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",
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n"
]
},
@ -344,7 +379,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8330/2987234667.py:8: 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",
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n"
]
},
@ -359,9 +394,24 @@
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_8330/2987234667.py:8: 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",
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n",
"/tmp/ipykernel_8330/2987234667.py:8: DtypeWarning: Columns (8,9) have mixed types. Specify dtype option on import or set low_memory=False.\n",
"/tmp/ipykernel_16962/2987234667.py:8: DtypeWarning: Columns (8,9) have mixed types. Specify dtype option on import or set low_memory=False.\n",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"File path : projet-bdc2324-team1/0_Input/Company_14/target_information.csv\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_16962/2987234667.py:8: 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",
" df = pd.read_csv(file_in, sep=\",\", parse_dates = datetime_col, date_parser=custom_date_parser)\n",
"<string>:27: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
@ -378,427 +428,34 @@
" df_customerplus_clean_0 = display_databases(directory_path, file_name = \"customerplus_cleaned\")\n",
" df_campaigns_information = display_databases(directory_path, file_name = \"campaigns_information\", datetime_col = ['opened_at', 'sent_at', 'campaign_sent_at'])\n",
" df_products_purchased_reduced = display_databases(directory_path, file_name = \"products_purchased_reduced\", datetime_col = ['purchase_date'])\n",
" df_target_information = display_databases(directory_path, file_name = \"target_information\")\n",
" df_campaigns_kpi = campaigns_kpi_function(campaigns_information = df_campaigns_information) \n",
" df_tickets_kpi = tickets_kpi_function(tickets_information = df_products_purchased_reduced)\n",
" df_customerplus_clean = customerplus_kpi_function(customerplus_clean = df_customerplus_clean_0)\n",
" \n",
"\n",
" \n",
"#creation de la colonne Number compagnie\n",
" df_tickets_kpi[\"Number_compagnie\"]=int(directory_path)\n",
" df_campaigns_kpi[\"Number_compagnie\"]=int(directory_path)\n",
" df_customerplus_clean[\"Number_compagnie\"]=int(directory_path)\n",
" df_target_information[\"Number_compagnie\"]=int(directory_path)\n",
"\n",
" if nb_compagnie.index(directory_path)>=1:\n",
" customerplus_clean_spectacle=pd.concat([customerplus_clean_spectacle,df_customerplus_clean],axis=0)\n",
" campaigns_information_spectacle=pd.concat([campaigns_information_spectacle,df_campaigns_kpi],axis=0)\n",
" products_purchased_reduced_spectacle=pd.concat([products_purchased_reduced_spectacle,df_tickets_kpi],axis=0)\n",
" target_information_spectacle=pd.concat([target_information_spectacle,df_target_information],axis=0)\n",
" else:\n",
" customerplus_clean_spectacle=df_customerplus_clean\n",
" campaigns_information_spectacle=df_campaigns_kpi\n",
" products_purchased_reduced_spectacle=df_tickets_kpi"
" products_purchased_reduced_spectacle=df_tickets_kpi\n",
" target_information_spectacle=df_target_information"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "8d3d4a21-3f99-4c48-a102-af33763f7fa7",
"metadata": {},
"outputs": [
{
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"text/plain": [
" customer_id street_id structure_id mcp_contact_id fidelity \\\n",
"0 821538 139 NaN NaN 0 \n",
"1 809126 1063 NaN NaN 0 \n",
"2 11005 1063 NaN NaN 0 \n",
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"... ... ... ... ... ... \n",
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"\n",
" tenant_id is_partner deleted_at gender is_email_true ... \\\n",
"0 875 False NaN 2 True ... \n",
"1 875 False NaN 2 True ... \n",
"2 875 False NaN 2 False ... \n",
"3 875 False NaN 0 False ... \n",
"4 875 False NaN 0 True ... \n",
"... ... ... ... ... ... ... \n",
"343121 862 False NaN 2 True ... \n",
"343122 862 False NaN 2 True ... \n",
"343123 862 False NaN 0 True ... \n",
"343124 862 False NaN 2 True ... \n",
"343125 862 False NaN 0 True ... \n",
"\n",
" purchase_count first_buying_date country gender_label \\\n",
"0 0 NaN NaN other \n",
"1 0 NaN fr other \n",
"2 14 NaN fr other \n",
"3 1 NaN fr female \n",
"4 1 NaN fr female \n",
"... ... ... ... ... \n",
"343121 0 NaN NaN other \n",
"343122 0 NaN NaN other \n",
"343123 0 NaN NaN female \n",
"343124 0 NaN NaN other \n",
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" gender_female gender_male gender_other country_fr has_tags \\\n",
"0 0 0 1 NaN 0 \n",
"1 0 0 1 1.0 0 \n",
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"3 1 0 0 1.0 0 \n",
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"... ... ... ... ... ... \n",
"343121 0 0 1 NaN 0 \n",
"343122 0 0 1 NaN 0 \n",
"343123 1 0 0 NaN 0 \n",
"343124 0 0 1 NaN 0 \n",
"343125 1 0 0 NaN 0 \n",
"\n",
" Number_compagnie \n",
"0 10 \n",
"1 10 \n",
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"4 10 \n",
"... ... \n",
"343121 14 \n",
"343122 14 \n",
"343123 14 \n",
"343124 14 \n",
"343125 14 \n",
"\n",
"[1523688 rows x 29 columns]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"customerplus_clean_spectacle"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "99ce152d-edb9-403a-ad0a-9629ab0f8246",
"execution_count": 11,
"id": "05b9a396-dcd7-4d3d-8b39-5ca48beba4b0",
"metadata": {},
"outputs": [
{
@ -953,271 +610,22 @@
"[688953 rows x 5 columns]"
]
},
"execution_count": 8,
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"campaigns_information_spectacle"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "cc6b2dbf-6c99-4517-b3d0-809876045f9f",
"metadata": {},
"outputs": [
{
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],
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" customer_id nb_tickets nb_purchases total_amount nb_suppliers \\\n",
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" time_between_purchase nb_tickets_internet Number_compagnie \n",
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"[764880 rows x 11 columns]"
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},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"products_purchased_reduced_spectacle"
"#customerplus_clean_spectacle\n",
"campaigns_information_spectacle\n",
"#products_purchased_reduced_spectacle\n",
"#target_information_spectacle"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "421c7038-9ee2-4409-a798-ac132c3202ca",
"id": "f2db28cf-c162-4c59-a278-1a30060bdfc0",
"metadata": {},
"outputs": [],
"source": []