base_spectacle
This commit is contained in:
parent
9a06cbe96f
commit
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@ -17,30 +17,805 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": null,
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"id": "37977b4e-42e7-4d8e-8b9a-6843292fd128",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Import KPI construction functions\n",
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"# exec(open('0_KPI_functions.py').read())\n",
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"exec(open('../0_KPI_functions.py').read())\n"
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"exec(open('0_KPI_functions.py').read())\n",
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"# exec(open('../0_KPI_functions.py').read())\n"
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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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"execution_count": 12,
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"id": "cca62d72-f809-41a9-bb06-1be7d6b09307",
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['projet-bdc2324-team1/0_Input/Company_10/campaigns_information.csv',\n",
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" 'projet-bdc2324-team1/0_Input/Company_10/customerplus_cleaned.csv',\n",
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" 'projet-bdc2324-team1/0_Input/Company_10/products_purchased_reduced.csv',\n",
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" 'projet-bdc2324-team1/0_Input/Company_10/target_information.csv']"
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]
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},
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# Create filesystem object\n",
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"S3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
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"fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': S3_ENDPOINT_URL})\n",
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"\n",
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"BUCKET = \"bdc2324-data\"\n",
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"BUCKET = \"projet-bdc2324-team1/0_Input/Company_10\"\n",
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"fs.ls(BUCKET)"
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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": 13,
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"id": "0e1ce56c-2e50-456c-ba97-ed4a699cc8d4",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/tmp/ipykernel_438/3710670046.py:6: 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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" purchases = pd.read_csv(file_in, sep=\",\", parse_dates = ['purchase_date'], date_parser=custom_date_parser)\n"
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]
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}
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],
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"source": [
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"BUCKET = \"projet-bdc2324-team1\"\n",
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"FILE_KEY_S3 = \"0_Input/Company_10/products_purchased_reduced.csv\"\n",
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"FILE_PATH_S3 = BUCKET + \"/\" + FILE_KEY_S3\n",
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"\n",
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"with fs.open(FILE_PATH_S3, mode=\"rb\") as file_in:\n",
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" purchases = pd.read_csv(file_in, sep=\",\", parse_dates = ['purchase_date'], date_parser=custom_date_parser)\n",
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" \n"
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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": 19,
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"id": "637aa400-f49a-4d8d-802a-868b241f8a9d",
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"dic_base=['campaigns_information','customerplus_cleaned','products_purchased_reduced','target_information']\n",
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"for nom_base in dic_base:\n",
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" FILE_PATH_S3_fanta = 'projet-bdc2324-team1/0_Input/Company_10/' + nom_base + '.csv'\n",
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" with fs.open(FILE_PATH_S3_fanta, mode=\"rb\") as file_in:\n",
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" globals()[nom_base] = pd.read_csv(file_in, sep=\",\")"
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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": 31,
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"id": "e60529b5-986f-4685-91e1-782c2b022e09",
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"metadata": {},
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"outputs": [
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{
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"data": {
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" <th>target_name</th>\n",
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" <th>0</th>\n",
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" <td>1165098</td>\n",
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" <td>618562</td>\n",
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" <td>Newsletter mensuelle</td>\n",
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" <td>False</td>\n",
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" <td>manual_static_filter</td>\n",
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" </tr>\n",
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" <td>1165100</td>\n",
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" <td>618559</td>\n",
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" <td>Newsletter mensuelle</td>\n",
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" <td>False</td>\n",
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" <td>manual_static_filter</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>False</td>\n",
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" <td>Newsletter mensuelle</td>\n",
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" <td>False</td>\n",
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" </tr>\n",
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" <td>Newsletter mensuelle</td>\n",
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" <td>False</td>\n",
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" <td>Newsletter mensuelle</td>\n",
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" <td>False</td>\n",
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" <td>Newsletter mensuelle</td>\n",
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" <td>False</td>\n",
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" <td>Newsletter mensuelle</td>\n",
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" <td>False</td>\n",
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" <td>manual_static_filter</td>\n",
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" </tr>\n",
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"</table>\n",
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"<p>69258 rows × 5 columns</p>\n",
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"</div>"
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],
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"text/plain": [
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" id customer_id target_name target_type_is_import \\\n",
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"0 1165098 618562 Newsletter mensuelle False \n",
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"1 1165100 618559 Newsletter mensuelle False \n",
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"2 1165101 618561 Newsletter mensuelle False \n",
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"3 1165102 618560 Newsletter mensuelle False \n",
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"4 1165103 618558 Newsletter mensuelle False \n",
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"... ... ... ... ... \n",
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"69253 1698158 18580 Newsletter mensuelle False \n",
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"69254 1698159 18569 Newsletter mensuelle False \n",
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"69255 1698160 2962 Newsletter mensuelle False \n",
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"69256 1698161 3825 Newsletter mensuelle False \n",
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"69257 1698162 5731 Newsletter mensuelle False \n",
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"\n",
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" target_type_name \n",
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"0 manual_static_filter \n",
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"1 manual_static_filter \n",
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"2 manual_static_filter \n",
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"3 manual_static_filter \n",
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"4 manual_static_filter \n",
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"... ... \n",
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"69253 manual_static_filter \n",
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"69254 manual_static_filter \n",
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"69255 manual_static_filter \n",
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"69256 manual_static_filter \n",
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"69257 manual_static_filter \n",
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"\n",
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"[69258 rows x 5 columns]"
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]
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},
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"execution_count": 31,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"target_information"
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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": 25,
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"id": "6ece1bb3-5a2d-41f8-be96-eb70697881dc",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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||||
"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>ticket_id</th>\n",
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" <th>customer_id</th>\n",
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" <th>purchase_id</th>\n",
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" <th>event_type_id</th>\n",
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" <th>supplier_name</th>\n",
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" <th>purchase_date</th>\n",
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" <th>amount</th>\n",
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" <th>is_full_price</th>\n",
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" <th>name_event_types</th>\n",
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" <th>name_facilities</th>\n",
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" <th>name_categories</th>\n",
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" <th>name_events</th>\n",
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" <th>name_seasons</th>\n",
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" <th>start_date_time</th>\n",
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" <th>end_date_time</th>\n",
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" <th>open</th>\n",
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" </tr>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>1799177</td>\n",
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" <td>36984</td>\n",
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" <td>409613</td>\n",
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" <td>2</td>\n",
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" <td>guichet</td>\n",
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" <td>2016-04-28 15:58:26+00:00</td>\n",
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" <td>9.0</td>\n",
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" <td>False</td>\n",
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" <td>danse</td>\n",
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" <td>le grand t</td>\n",
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" <td>abo t gourmand jeune</td>\n",
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" <td>aringa rossa</td>\n",
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" <td>test 2016/2017</td>\n",
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" <td>2016-09-27 00:00:00+02:00</td>\n",
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" <td>1901-01-01 00:09:21+00:09</td>\n",
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" <td>True</td>\n",
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" <th>1</th>\n",
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" <td>1799178</td>\n",
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" <td>409613</td>\n",
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" <td>3</td>\n",
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" <td>guichet</td>\n",
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" <td>2016-04-28 15:58:26+00:00</td>\n",
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" <td>9.0</td>\n",
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" <td>False</td>\n",
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" <td>cirque</td>\n",
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" <td>le grand t</td>\n",
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" <td>abo t gourmand jeune</td>\n",
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" <td>5èmes hurlants</td>\n",
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" <td>test 2016/2017</td>\n",
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" <td>2016-11-18 00:00:00+01:00</td>\n",
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" <td>1901-01-01 00:09:21+00:09</td>\n",
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" <td>True</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>1799179</td>\n",
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" <td>36984</td>\n",
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" <td>409613</td>\n",
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" <td>1</td>\n",
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" <td>guichet</td>\n",
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" <td>2016-04-28 15:58:26+00:00</td>\n",
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" <td>9.0</td>\n",
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" <td>False</td>\n",
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" <td>théâtre</td>\n",
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" <td>le grand t</td>\n",
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" <td>abo t gourmand jeune</td>\n",
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" <td>dom juan</td>\n",
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" <td>test 2016/2017</td>\n",
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" <td>2016-12-07 00:00:00+01:00</td>\n",
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" <td>1901-01-01 00:09:21+00:09</td>\n",
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" <td>True</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>1799180</td>\n",
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" <td>36984</td>\n",
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" <td>409613</td>\n",
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" <td>1</td>\n",
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" <td>guichet</td>\n",
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" <td>2016-04-28 15:58:26+00:00</td>\n",
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" <td>9.0</td>\n",
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" <td>False</td>\n",
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" <td>théâtre</td>\n",
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||||
" <td>le grand t</td>\n",
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" <td>abo t gourmand jeune</td>\n",
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" <td>vanishing point</td>\n",
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" <td>test 2016/2017</td>\n",
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" <td>2017-01-04 00:00:00+01:00</td>\n",
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" <td>1901-01-01 00:09:21+00:09</td>\n",
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" <td>True</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>1799181</td>\n",
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" <td>36984</td>\n",
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" <td>409613</td>\n",
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" <td>3</td>\n",
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" <td>guichet</td>\n",
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" <td>2016-04-28 15:58:26+00:00</td>\n",
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" <td>12.0</td>\n",
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" <td>False</td>\n",
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" <td>cirque</td>\n",
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" <td>la cite des congres</td>\n",
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" <td>abo t gourmand jeune</td>\n",
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" <td>a o lang pho</td>\n",
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" <td>test 2016/2017</td>\n",
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" <td>2017-01-03 00:00:00+01:00</td>\n",
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" <td>1901-01-01 00:09:21+00:09</td>\n",
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" <td>True</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>492309</th>\n",
|
||||
" <td>3252232</td>\n",
|
||||
" <td>621716</td>\n",
|
||||
" <td>710062</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>guichet</td>\n",
|
||||
" <td>2023-03-09 11:08:45+00:00</td>\n",
|
||||
" <td>7.0</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>théâtre</td>\n",
|
||||
" <td>cap nort</td>\n",
|
||||
" <td>tarif sco co 1 seance scolaire</td>\n",
|
||||
" <td>sur moi, le temps</td>\n",
|
||||
" <td>2022/2023</td>\n",
|
||||
" <td>2023-03-13 14:00:00+01:00</td>\n",
|
||||
" <td>1901-01-01 00:09:21+00:09</td>\n",
|
||||
" <td>True</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>492310</th>\n",
|
||||
" <td>3252233</td>\n",
|
||||
" <td>621716</td>\n",
|
||||
" <td>710062</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>guichet</td>\n",
|
||||
" <td>2023-03-09 11:08:45+00:00</td>\n",
|
||||
" <td>7.0</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>théâtre</td>\n",
|
||||
" <td>cap nort</td>\n",
|
||||
" <td>tarif sco co 1 seance scolaire</td>\n",
|
||||
" <td>sur moi, le temps</td>\n",
|
||||
" <td>2022/2023</td>\n",
|
||||
" <td>2023-03-13 14:00:00+01:00</td>\n",
|
||||
" <td>1901-01-01 00:09:21+00:09</td>\n",
|
||||
" <td>True</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>492311</th>\n",
|
||||
" <td>3252234</td>\n",
|
||||
" <td>621716</td>\n",
|
||||
" <td>710062</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>guichet</td>\n",
|
||||
" <td>2023-03-09 11:08:45+00:00</td>\n",
|
||||
" <td>7.0</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>théâtre</td>\n",
|
||||
" <td>cap nort</td>\n",
|
||||
" <td>tarif sco co 1 seance scolaire</td>\n",
|
||||
" <td>sur moi, le temps</td>\n",
|
||||
" <td>2022/2023</td>\n",
|
||||
" <td>2023-03-13 14:00:00+01:00</td>\n",
|
||||
" <td>1901-01-01 00:09:21+00:09</td>\n",
|
||||
" <td>True</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>492312</th>\n",
|
||||
" <td>3252235</td>\n",
|
||||
" <td>621716</td>\n",
|
||||
" <td>710062</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>guichet</td>\n",
|
||||
" <td>2023-03-09 11:08:45+00:00</td>\n",
|
||||
" <td>7.0</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>théâtre</td>\n",
|
||||
" <td>cap nort</td>\n",
|
||||
" <td>tarif sco co 1 seance scolaire</td>\n",
|
||||
" <td>sur moi, le temps</td>\n",
|
||||
" <td>2022/2023</td>\n",
|
||||
" <td>2023-03-13 14:00:00+01:00</td>\n",
|
||||
" <td>1901-01-01 00:09:21+00:09</td>\n",
|
||||
" <td>True</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>492313</th>\n",
|
||||
" <td>3252236</td>\n",
|
||||
" <td>621716</td>\n",
|
||||
" <td>710062</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>guichet</td>\n",
|
||||
" <td>2023-03-09 11:08:45+00:00</td>\n",
|
||||
" <td>7.0</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>théâtre</td>\n",
|
||||
" <td>cap nort</td>\n",
|
||||
" <td>tarif sco co 1 seance scolaire</td>\n",
|
||||
" <td>sur moi, le temps</td>\n",
|
||||
" <td>2022/2023</td>\n",
|
||||
" <td>2023-03-13 14:00:00+01:00</td>\n",
|
||||
" <td>1901-01-01 00:09:21+00:09</td>\n",
|
||||
" <td>True</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"<p>492314 rows × 16 columns</p>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" ticket_id customer_id purchase_id event_type_id supplier_name \\\n",
|
||||
"0 1799177 36984 409613 2 guichet \n",
|
||||
"1 1799178 36984 409613 3 guichet \n",
|
||||
"2 1799179 36984 409613 1 guichet \n",
|
||||
"3 1799180 36984 409613 1 guichet \n",
|
||||
"4 1799181 36984 409613 3 guichet \n",
|
||||
"... ... ... ... ... ... \n",
|
||||
"492309 3252232 621716 710062 1 guichet \n",
|
||||
"492310 3252233 621716 710062 1 guichet \n",
|
||||
"492311 3252234 621716 710062 1 guichet \n",
|
||||
"492312 3252235 621716 710062 1 guichet \n",
|
||||
"492313 3252236 621716 710062 1 guichet \n",
|
||||
"\n",
|
||||
" purchase_date amount is_full_price name_event_types \\\n",
|
||||
"0 2016-04-28 15:58:26+00:00 9.0 False danse \n",
|
||||
"1 2016-04-28 15:58:26+00:00 9.0 False cirque \n",
|
||||
"2 2016-04-28 15:58:26+00:00 9.0 False théâtre \n",
|
||||
"3 2016-04-28 15:58:26+00:00 9.0 False théâtre \n",
|
||||
"4 2016-04-28 15:58:26+00:00 12.0 False cirque \n",
|
||||
"... ... ... ... ... \n",
|
||||
"492309 2023-03-09 11:08:45+00:00 7.0 False théâtre \n",
|
||||
"492310 2023-03-09 11:08:45+00:00 7.0 False théâtre \n",
|
||||
"492311 2023-03-09 11:08:45+00:00 7.0 False théâtre \n",
|
||||
"492312 2023-03-09 11:08:45+00:00 7.0 False théâtre \n",
|
||||
"492313 2023-03-09 11:08:45+00:00 7.0 False théâtre \n",
|
||||
"\n",
|
||||
" name_facilities name_categories \\\n",
|
||||
"0 le grand t abo t gourmand jeune \n",
|
||||
"1 le grand t abo t gourmand jeune \n",
|
||||
"2 le grand t abo t gourmand jeune \n",
|
||||
"3 le grand t abo t gourmand jeune \n",
|
||||
"4 la cite des congres abo t gourmand jeune \n",
|
||||
"... ... ... \n",
|
||||
"492309 cap nort tarif sco co 1 seance scolaire \n",
|
||||
"492310 cap nort tarif sco co 1 seance scolaire \n",
|
||||
"492311 cap nort tarif sco co 1 seance scolaire \n",
|
||||
"492312 cap nort tarif sco co 1 seance scolaire \n",
|
||||
"492313 cap nort tarif sco co 1 seance scolaire \n",
|
||||
"\n",
|
||||
" name_events name_seasons start_date_time \\\n",
|
||||
"0 aringa rossa test 2016/2017 2016-09-27 00:00:00+02:00 \n",
|
||||
"1 5èmes hurlants test 2016/2017 2016-11-18 00:00:00+01:00 \n",
|
||||
"2 dom juan test 2016/2017 2016-12-07 00:00:00+01:00 \n",
|
||||
"3 vanishing point test 2016/2017 2017-01-04 00:00:00+01:00 \n",
|
||||
"4 a o lang pho test 2016/2017 2017-01-03 00:00:00+01:00 \n",
|
||||
"... ... ... ... \n",
|
||||
"492309 sur moi, le temps 2022/2023 2023-03-13 14:00:00+01:00 \n",
|
||||
"492310 sur moi, le temps 2022/2023 2023-03-13 14:00:00+01:00 \n",
|
||||
"492311 sur moi, le temps 2022/2023 2023-03-13 14:00:00+01:00 \n",
|
||||
"492312 sur moi, le temps 2022/2023 2023-03-13 14:00:00+01:00 \n",
|
||||
"492313 sur moi, le temps 2022/2023 2023-03-13 14:00:00+01:00 \n",
|
||||
"\n",
|
||||
" end_date_time open \n",
|
||||
"0 1901-01-01 00:09:21+00:09 True \n",
|
||||
"1 1901-01-01 00:09:21+00:09 True \n",
|
||||
"2 1901-01-01 00:09:21+00:09 True \n",
|
||||
"3 1901-01-01 00:09:21+00:09 True \n",
|
||||
"4 1901-01-01 00:09:21+00:09 True \n",
|
||||
"... ... ... \n",
|
||||
"492309 1901-01-01 00:09:21+00:09 True \n",
|
||||
"492310 1901-01-01 00:09:21+00:09 True \n",
|
||||
"492311 1901-01-01 00:09:21+00:09 True \n",
|
||||
"492312 1901-01-01 00:09:21+00:09 True \n",
|
||||
"492313 1901-01-01 00:09:21+00:09 True \n",
|
||||
"\n",
|
||||
"[492314 rows x 16 columns]"
|
||||
]
|
||||
},
|
||||
"execution_count": 25,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"purchases"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 29,
|
||||
"id": "484979cc-d4a4-4d9d-9701-71a4f353a372",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"/tmp/ipykernel_438/1359829443.py:6: 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",
|
||||
" campaigns = pd.read_csv(file_in, sep=\",\", parse_dates = [\"opened_at\", \"sent_at\", \"delivered_at\"], date_parser=custom_date_parser)\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"BUCKET = \"projet-bdc2324-team1\"\n",
|
||||
"FILE_KEY_S3 = \"0_Input/Company_10/campaigns_information.csv\"\n",
|
||||
"FILE_PATH_S3 = BUCKET + \"/\" + FILE_KEY_S3\n",
|
||||
"\n",
|
||||
"with fs.open(FILE_PATH_S3, mode=\"rb\") as file_in:\n",
|
||||
" campaigns = pd.read_csv(file_in, sep=\",\", parse_dates = [\"opened_at\", \"sent_at\", \"delivered_at\"], date_parser=custom_date_parser)\n",
|
||||
" \n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 32,
|
||||
"id": "553ca2e7-ead4-4508-8247-fcc602abd249",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"BUCKET = \"projet-bdc2324-team1\"\n",
|
||||
"FILE_KEY_S3 = \"0_Input/Company_10/target_information.csv\"\n",
|
||||
"FILE_PATH_S3 = BUCKET + \"/\" + FILE_KEY_S3\n",
|
||||
"\n",
|
||||
"with fs.open(FILE_PATH_S3, mode=\"rb\") as file_in:\n",
|
||||
" targets = pd.read_csv(file_in, sep=\",\")\n",
|
||||
" \n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 33,
|
||||
"id": "17b89ca1-deea-4139-a6c0-7822cc4e7a90",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
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|
||||
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|
||||
"<style scoped>\n",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
" <thead>\n",
|
||||
" <tr style=\"text-align: right;\">\n",
|
||||
" <th></th>\n",
|
||||
" <th>id</th>\n",
|
||||
" <th>customer_id</th>\n",
|
||||
" <th>target_name</th>\n",
|
||||
" <th>target_type_is_import</th>\n",
|
||||
" <th>target_type_name</th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>0</th>\n",
|
||||
" <td>1165098</td>\n",
|
||||
" <td>618562</td>\n",
|
||||
" <td>Newsletter mensuelle</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>manual_static_filter</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1</th>\n",
|
||||
" <td>1165100</td>\n",
|
||||
" <td>618559</td>\n",
|
||||
" <td>Newsletter mensuelle</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>manual_static_filter</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2</th>\n",
|
||||
" <td>1165101</td>\n",
|
||||
" <td>618561</td>\n",
|
||||
" <td>Newsletter mensuelle</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>manual_static_filter</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>3</th>\n",
|
||||
" <td>1165102</td>\n",
|
||||
" <td>618560</td>\n",
|
||||
" <td>Newsletter mensuelle</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>manual_static_filter</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>4</th>\n",
|
||||
" <td>1165103</td>\n",
|
||||
" <td>618558</td>\n",
|
||||
" <td>Newsletter mensuelle</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>manual_static_filter</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>...</th>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" <td>...</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>69253</th>\n",
|
||||
" <td>1698158</td>\n",
|
||||
" <td>18580</td>\n",
|
||||
" <td>Newsletter mensuelle</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>manual_static_filter</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>69254</th>\n",
|
||||
" <td>1698159</td>\n",
|
||||
" <td>18569</td>\n",
|
||||
" <td>Newsletter mensuelle</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>manual_static_filter</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>69255</th>\n",
|
||||
" <td>1698160</td>\n",
|
||||
" <td>2962</td>\n",
|
||||
" <td>Newsletter mensuelle</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>manual_static_filter</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>69256</th>\n",
|
||||
" <td>1698161</td>\n",
|
||||
" <td>3825</td>\n",
|
||||
" <td>Newsletter mensuelle</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>manual_static_filter</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>69257</th>\n",
|
||||
" <td>1698162</td>\n",
|
||||
" <td>5731</td>\n",
|
||||
" <td>Newsletter mensuelle</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>manual_static_filter</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"<p>69258 rows × 5 columns</p>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" id customer_id target_name target_type_is_import \\\n",
|
||||
"0 1165098 618562 Newsletter mensuelle False \n",
|
||||
"1 1165100 618559 Newsletter mensuelle False \n",
|
||||
"2 1165101 618561 Newsletter mensuelle False \n",
|
||||
"3 1165102 618560 Newsletter mensuelle False \n",
|
||||
"4 1165103 618558 Newsletter mensuelle False \n",
|
||||
"... ... ... ... ... \n",
|
||||
"69253 1698158 18580 Newsletter mensuelle False \n",
|
||||
"69254 1698159 18569 Newsletter mensuelle False \n",
|
||||
"69255 1698160 2962 Newsletter mensuelle False \n",
|
||||
"69256 1698161 3825 Newsletter mensuelle False \n",
|
||||
"69257 1698162 5731 Newsletter mensuelle False \n",
|
||||
"\n",
|
||||
" target_type_name \n",
|
||||
"0 manual_static_filter \n",
|
||||
"1 manual_static_filter \n",
|
||||
"2 manual_static_filter \n",
|
||||
"3 manual_static_filter \n",
|
||||
"4 manual_static_filter \n",
|
||||
"... ... \n",
|
||||
"69253 manual_static_filter \n",
|
||||
"69254 manual_static_filter \n",
|
||||
"69255 manual_static_filter \n",
|
||||
"69256 manual_static_filter \n",
|
||||
"69257 manual_static_filter \n",
|
||||
"\n",
|
||||
"[69258 rows x 5 columns]"
|
||||
]
|
||||
},
|
||||
"execution_count": 33,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"targets"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "c90d94ab-cf0e-4d18-9d5e-cb1d22f4d58b",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user