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462 lines
23 KiB
Plaintext
462 lines
23 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "aeacd24e",
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"metadata": {},
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"source": [
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"# Catalogs\n",
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"\n",
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"## Chargement des actors"
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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": 4,
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"id": "ae9bc24c",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<kedro.io.data_catalog.DataCatalog at 0x7fbafd365970>"
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]
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},
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"execution_count": 4,
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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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"catalog"
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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": 38,
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"id": "dc290e93",
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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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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[06/16/23 15:56:44] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO </span> Loading data from <span style=\"color: #008000; text-decoration-color: #008000\">'actors'</span> <span style=\"font-weight: bold\">(</span>CSVDataSet<span style=\"font-weight: bold\">)</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span> <a href=\"file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">data_catalog.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py#345\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">345</span></a>\n",
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"</pre>\n"
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],
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"text/plain": [
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"\u001b[2;36m[06/16/23 15:56:44]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m Loading data from \u001b[32m'actors'\u001b[0m \u001b[1m(\u001b[0mCSVDataSet\u001b[1m)\u001b[0m\u001b[33m...\u001b[0m \u001b]8;id=858812;file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py\u001b\\\u001b[2mdata_catalog.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=44255;file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py#345\u001b\\\u001b[2m345\u001b[0m\u001b]8;;\u001b\\\n"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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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>NAME</th>\n",
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" <th>ROLE</th>\n",
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" <th>HOUSE</th>\n",
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" <th>DATE1</th>\n",
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" <th>DATE2</th>\n",
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" <th>DATE3</th>\n",
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" </tr>\n",
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" </thead>\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>Charles Ier de Bourbon</td>\n",
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" <td>prince</td>\n",
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" <td>Bourbon</td>\n",
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" <td>1400</td>\n",
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" <td>1434.0</td>\n",
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" <td>1456.0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>Gort, Étienne</td>\n",
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" <td>secret</td>\n",
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" <td>Bourbon</td>\n",
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" <td>1425</td>\n",
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" <td>1440.0</td>\n",
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" <td>NaN</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>Erart</td>\n",
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" <td>secret</td>\n",
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" <td>Berry</td>\n",
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" <td>1404</td>\n",
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" <td>1405.0</td>\n",
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" <td>NaN</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>Jean de Berry</td>\n",
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" <td>prince</td>\n",
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" <td>Berry</td>\n",
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" <td>1337</td>\n",
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" <td>1360.0</td>\n",
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" <td>1416.0</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>Agnès de Bourgogne</td>\n",
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" <td>prince</td>\n",
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" <td>Bourbon</td>\n",
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" <td>1407</td>\n",
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" <td>1434.0</td>\n",
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" <td>1476.0</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" NAME ROLE HOUSE DATE1 DATE2 DATE3\n",
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"0 Charles Ier de Bourbon prince Bourbon 1400 1434.0 1456.0\n",
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"1 Gort, Étienne secret Bourbon 1425 1440.0 NaN\n",
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"2 Erart secret Berry 1404 1405.0 NaN\n",
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"3 Jean de Berry prince Berry 1337 1360.0 1416.0\n",
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"4 Agnès de Bourgogne prince Bourbon 1407 1434.0 1476.0"
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]
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},
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"execution_count": 38,
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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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"catalog.load(\"actors\").head()"
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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": 5,
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"id": "eedbc7fb",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['actors', 'corpus-agnes-bourgogne', 'corpus-charles-i', 'parameters']"
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]
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},
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"execution_count": 5,
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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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"catalog.list()"
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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": 20,
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"id": "3168935f",
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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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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[06/16/23 14:58:30] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO </span> Loading data from <span style=\"color: #008000; text-decoration-color: #008000\">'actors'</span> <span style=\"font-weight: bold\">(</span>CSVDataSet<span style=\"font-weight: bold\">)</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span> <a href=\"file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">data_catalog.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py#345\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">345</span></a>\n",
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"</pre>\n"
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],
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"text/plain": [
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"\u001b[2;36m[06/16/23 14:58:30]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m Loading data from \u001b[32m'actors'\u001b[0m \u001b[1m(\u001b[0mCSVDataSet\u001b[1m)\u001b[0m\u001b[33m...\u001b[0m \u001b]8;id=659228;file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py\u001b\\\u001b[2mdata_catalog.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=160900;file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py#345\u001b\\\u001b[2m345\u001b[0m\u001b]8;;\u001b\\\n"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"['NAME', 'ROLE', 'HOUSE', 'DATE1', 'DATE2', 'DATE3']"
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]
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},
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"execution_count": 20,
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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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"actors = catalog.load(\"actors\")\n",
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"actors.columns.tolist()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "902dd387",
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"metadata": {},
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"source": [
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"## Nettoyage des valeurs non renseignées\n",
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"\n",
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"Ligne d'origine (ligne 9) : \n",
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"`\"René d'Anjou\";\"prince\";\"Anjou\";\"XXXX\";\"XXXX\";\"XXXX\"`\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": 37,
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"id": "24fc62ce",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"NAME Bernard d'Armagnac\n",
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"ROLE prince\n",
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"HOUSE Armagnac\n",
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"DATE1 NaN\n",
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"DATE2 NaN\n",
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"DATE3 NaN\n",
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"Name: 9, dtype: object"
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]
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},
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"execution_count": 37,
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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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"#actors.values\n",
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"import numpy as np\n",
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"cleaned_actors = actors.replace(\"XXXX\", np.NaN)\n",
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"actors.head()\n",
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"#actors.values\n",
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"cleaned_actors.iloc[9]"
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]
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},
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{
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"cell_type": "markdown",
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"id": "ee287f62",
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"metadata": {},
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"source": [
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"## Autres catalogues"
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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": 1,
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"id": "053ed17c",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['actors',\n",
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" 'corpus-agnes-bourgogne',\n",
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" 'corpus-charles-i',\n",
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" 'dataset_test',\n",
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" 'preprocessed_dataset_test',\n",
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" 'load_xml',\n",
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" 'preprocess_html',\n",
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" 'load_full_xml_catalog',\n",
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" 'preprocess_full_catalog_html',\n",
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" 'preprocessed_actors',\n",
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" 'parameters',\n",
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" 'params:xlststylesheet']"
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]
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},
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"execution_count": 1,
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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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"catalog.list()"
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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": 2,
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"id": "660b898c",
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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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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[06/20/23 16:44:19] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO </span> Loading data from <span style=\"color: #008000; text-decoration-color: #008000\">'load_xml'</span> <span style=\"font-weight: bold\">(</span>XMLDataSet<span style=\"font-weight: bold\">)</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span> <a href=\"file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">data_catalog.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py#345\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">345</span></a>\n",
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"</pre>\n"
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],
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"text/plain": [
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"\u001b[2;36m[06/20/23 16:44:19]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m Loading data from \u001b[32m'load_xml'\u001b[0m \u001b[1m(\u001b[0mXMLDataSet\u001b[1m)\u001b[0m\u001b[33m...\u001b[0m \u001b]8;id=813727;file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py\u001b\\\u001b[2mdata_catalog.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=696103;file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py#345\u001b\\\u001b[2m345\u001b[0m\u001b]8;;\u001b\\\n"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"<lxml.etree._ElementTree at 0x7f3e4c3b99c0>"
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]
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},
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"execution_count": 2,
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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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"catalog.load(\"load_xml\")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "a46ddef9",
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"metadata": {},
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"source": [
|
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"## PartitionedDataset catalogs"
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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": 1,
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"id": "96a60999",
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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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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[06/22/23 15:01:39] </span><span style=\"color: #000080; text-decoration-color: #000080\">INFO </span> Loading data from <span style=\"color: #008000; text-decoration-color: #008000\">'load_full_xml_catalog'</span> <span style=\"font-weight: bold\">(</span>PartitionedDataSet<span style=\"font-weight: bold\">)</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span> <a href=\"file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">data_catalog.py</span></a><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">:</span><a href=\"file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py#345\" target=\"_blank\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">345</span></a>\n",
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"</pre>\n"
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],
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"text/plain": [
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"\u001b[2;36m[06/22/23 15:01:39]\u001b[0m\u001b[2;36m \u001b[0m\u001b[34mINFO \u001b[0m Loading data from \u001b[32m'load_full_xml_catalog'\u001b[0m \u001b[1m(\u001b[0mPartitionedDataSet\u001b[1m)\u001b[0m\u001b[33m...\u001b[0m \u001b]8;id=663642;file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py\u001b\\\u001b[2mdata_catalog.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=709654;file:///media/gwen/maxtor/gwen/entrepot/cnrs/nicolas/depot/datascience/.venv/lib/python3.9/site-packages/kedro/io/data_catalog.py#345\u001b\\\u001b[2m345\u001b[0m\u001b]8;;\u001b\\\n"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"{'anj_is_i_1441_08_05a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7e16df0>>,\n",
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" 'anj_lo_i_1360_08a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9700>>,\n",
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" 'anj_lo_i_1371_07_08a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd96a0>>,\n",
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" 'anj_lo_ii_1401_04_28a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9430>>,\n",
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" 'anj_lo_ii_1402_11_07a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd92b0>>,\n",
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" 'anj_lo_ii_1405_05_02a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9340>>,\n",
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" 'anj_lo_ii_1406_01_26a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd93d0>>,\n",
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" 'anj_lo_ii_1406_04_15a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd94c0>>,\n",
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" 'anj_lo_ii_1409_08_07a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd94f0>>,\n",
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" 'anj_lo_ii_1409_12_12a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9520>>,\n",
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" 'anj_lo_ii_1413_03_01a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9610>>,\n",
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" 'anj_lo_iii_1420_11_04a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9580>>,\n",
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" 'anj_lo_iii_1422_02_09a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd95b0>>,\n",
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" 'anj_lo_iii_1424_03_31a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9d00>>,\n",
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" 'anj_lo_iii_1424_03_31b': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9c40>>,\n",
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" 'anj_lo_iii_1428_06_07a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9970>>,\n",
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" 'anj_lo_iii_1428_06_07b': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9940>>,\n",
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" 'anj_lo_iii_1432_10_27a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9880>>,\n",
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" 'anj_ma_i_1370_12_10a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9a90>>,\n",
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" 'anj_re_i_1437_09_16a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9a30>>,\n",
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" 'anj_re_i_1439_11_22a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9af0>>,\n",
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" 'anj_re_i_1440_01_20a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9730>>,\n",
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" 'anj_re_i_1445a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9b20>>,\n",
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" 'anj_re_i_1450_11_07a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd99d0>>,\n",
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" 'anj_re_i_1454_01_14a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd99a0>>,\n",
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" 'anj_re_i_1454_02_09a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd97f0>>,\n",
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" 'anj_re_i_1454_06_17a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9d30>>,\n",
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" 'anj_re_i_1454_09_01a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9d90>>,\n",
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" 'anj_re_i_1455_11_13a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9df0>>,\n",
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" 'anj_re_i_1456_11_29a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9e50>>,\n",
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" 'anj_re_i_1457_01_04a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9eb0>>,\n",
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" 'anj_re_i_1459_03_17a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9f10>>,\n",
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" 'anj_re_i_1459_04_16a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9f70>>,\n",
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" 'anj_re_i_1463_07_21a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7dd9fd0>>,\n",
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" 'anj_re_i_1466_12_16a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7ddb070>>,\n",
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" 'anj_re_i_1474_02_01a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7ddb0d0>>,\n",
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" 'anj_re_i_1475_05_26a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7ddb130>>,\n",
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" 'anj_yo_i_1418_12_20a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7ddb190>>,\n",
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" 'anj_yo_i_1421_06_28a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7ddb1f0>>,\n",
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" 'anj_yo_i_1442_02_24a': <bound method AbstractDataSet.load of <actesdataset.XMLDataSet object at 0x7fa3f7ddb250>>}"
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]
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},
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"execution_count": 1,
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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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"partitions = catalog.load('load_full_xml_catalog')\n",
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"catalog.load('load_full_xml_catalog')"
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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": 4,
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"id": "bdc37079",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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},
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"execution_count": 4,
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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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"partitions['anj_is_i_1441_08_05a']"
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]
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}
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"metadata": {
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"kernelspec": {
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"display_name": "Kedro (actes_princiers)",
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"language": "python",
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"name": "kedro_actes_princiers"
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