datascience/actes-princiers/notebooks/LoadDataCatalog.ipynb

{
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  {
   "cell_type": "markdown",
   "id": "aeacd24e",
   "metadata": {},
   "source": [
    "# Catalogs\n",
    "\n",
    "## Chargement des actors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ae9bc24c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<kedro.io.data_catalog.DataCatalog at 0x7fbafd365970>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "catalog"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "dc290e93",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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",
       "</pre>\n"
      ],
      "text/plain": [
       "\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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      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NAME</th>\n",
       "      <th>ROLE</th>\n",
       "      <th>HOUSE</th>\n",
       "      <th>DATE1</th>\n",
       "      <th>DATE2</th>\n",
       "      <th>DATE3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Charles Ier de Bourbon</td>\n",
       "      <td>prince</td>\n",
       "      <td>Bourbon</td>\n",
       "      <td>1400</td>\n",
       "      <td>1434.0</td>\n",
       "      <td>1456.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Gort, Étienne</td>\n",
       "      <td>secret</td>\n",
       "      <td>Bourbon</td>\n",
       "      <td>1425</td>\n",
       "      <td>1440.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Erart</td>\n",
       "      <td>secret</td>\n",
       "      <td>Berry</td>\n",
       "      <td>1404</td>\n",
       "      <td>1405.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Jean de Berry</td>\n",
       "      <td>prince</td>\n",
       "      <td>Berry</td>\n",
       "      <td>1337</td>\n",
       "      <td>1360.0</td>\n",
       "      <td>1416.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Agnès de Bourgogne</td>\n",
       "      <td>prince</td>\n",
       "      <td>Bourbon</td>\n",
       "      <td>1407</td>\n",
       "      <td>1434.0</td>\n",
       "      <td>1476.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     NAME    ROLE    HOUSE DATE1   DATE2   DATE3\n",
       "0  Charles Ier de Bourbon  prince  Bourbon  1400  1434.0  1456.0\n",
       "1           Gort, Étienne  secret  Bourbon  1425  1440.0     NaN\n",
       "2                   Erart  secret    Berry  1404  1405.0     NaN\n",
       "3           Jean de Berry  prince    Berry  1337  1360.0  1416.0\n",
       "4      Agnès de Bourgogne  prince  Bourbon  1407  1434.0  1476.0"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "catalog.load(\"actors\").head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "eedbc7fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['actors', 'corpus-agnes-bourgogne', 'corpus-charles-i', 'parameters']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "catalog.list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3168935f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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",
       "</pre>\n"
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      "text/plain": [
       "\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"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "['NAME', 'ROLE', 'HOUSE', 'DATE1', 'DATE2', 'DATE3']"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "actors = catalog.load(\"actors\")\n",
    "actors.columns.tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "902dd387",
   "metadata": {},
   "source": [
    "## Nettoyage des valeurs non renseignées\n",
    "\n",
    "Ligne d'origine (ligne 9) : \n",
    "`\"René d'Anjou\";\"prince\";\"Anjou\";\"XXXX\";\"XXXX\";\"XXXX\"`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "24fc62ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NAME     Bernard d'Armagnac\n",
       "ROLE                 prince\n",
       "HOUSE              Armagnac\n",
       "DATE1                   NaN\n",
       "DATE2                   NaN\n",
       "DATE3                   NaN\n",
       "Name: 9, dtype: object"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#actors.values\n",
    "import numpy as np\n",
    "cleaned_actors = actors.replace(\"XXXX\", np.NaN)\n",
    "actors.head()\n",
    "#actors.values\n",
    "cleaned_actors.iloc[9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "053ed17c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['actors',\n",
       " 'corpus-agnes-bourgogne',\n",
       " 'corpus-charles-i',\n",
       " 'dataset_test',\n",
       " 'preprocessed_dataset_test',\n",
       " 'load_xml',\n",
       " 'preprocess_html',\n",
       " 'preprocessed_actors',\n",
       " 'parameters']"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "catalog.list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "660b898c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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",
       "</pre>\n"
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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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       "<lxml.etree._ElementTree at 0x7f3e4c3b99c0>"
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     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "catalog.load(\"load_xml\")"
   ]
  }
 ],
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