update_classement.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7ff0e1cb-ff03-45d9-9343-3130f97bfe81",
   "metadata": {},
   "source": [
    "# classements badmania"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9714551-1ead-445a-9063-7ccf035657f8",
   "metadata": {},
   "source": [
    "https://badmania.fr/club-joueurs-2254-riom-badminton-club.html"
   ]
  },
  {
   "attachments": {
    "476dc81f-ff85-44db-a239-bfd2f388f986.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "d9bedf46-6d36-4cc6-b658-e71619dbf175",
   "metadata": {},
   "source": [
    "![image.png](attachment:476dc81f-ff85-44db-a239-bfd2f388f986.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "06917b6f-3571-4679-9b05-ebdd43e8f53f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#|default_exp rbc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8b94ffbe-6fc4-4beb-92e2-0b02f0126441",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| export\n",
    "PAGE = 'https://badmania.fr/club-joueurs-2254-riom-badminton-club.html'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a85e2dd2-ee60-4ae5-a992-aceec526c4ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| export\n",
    "import pandas as pd\n",
    "html_tables = pd.read_html(PAGE)\n",
    "df_adherents = html_tables[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "83bf9f3e-360f-49ed-b45e-436afb5b5649",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>Nom ▼▲</th>\n",
       "      <th>Nom ▼▲.1</th>\n",
       "      <th>Prénom ▼▲</th>\n",
       "      <th>Prénom ▼▲.1</th>\n",
       "      <th>Sexe</th>\n",
       "      <th>Licence</th>\n",
       "      <th>Catégorie ▼▲</th>\n",
       "      <th>Classement ▼▲</th>\n",
       "      <th>Class.</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ANDRAL</td>\n",
       "      <td>Anthony</td>\n",
       "      <td>ANDRAL</td>\n",
       "      <td>Anthony</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7354056</td>\n",
       "      <td>Senior</td>\n",
       "      <td>P11/P10/P10</td>\n",
       "      <td>P11/P10/P10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AVARGUEZ</td>\n",
       "      <td>Eric</td>\n",
       "      <td>AVARGUEZ</td>\n",
       "      <td>Eric</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6630518</td>\n",
       "      <td>Veteran 6</td>\n",
       "      <td>P11/D9/P10</td>\n",
       "      <td>P11/D9/P10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BARBIER DARDARE</td>\n",
       "      <td>Léna</td>\n",
       "      <td>BARBIER...</td>\n",
       "      <td>Léna</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7454028</td>\n",
       "      <td>Minibad</td>\n",
       "      <td>-/-/-</td>\n",
       "      <td>-/-/-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BARDEL</td>\n",
       "      <td>Damien</td>\n",
       "      <td>BARDEL</td>\n",
       "      <td>Damien</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7250210</td>\n",
       "      <td>Veteran 1</td>\n",
       "      <td>P12/P12/P11</td>\n",
       "      <td>P12/P12/P11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BARRAUD</td>\n",
       "      <td>Ines</td>\n",
       "      <td>BARRAUD</td>\n",
       "      <td>Ines</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7354562</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-/-/-</td>\n",
       "      <td>-/-/-</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Nom ▼▲ Nom ▼▲.1   Prénom ▼▲ Prénom ▼▲.1  Sexe  Licence  \\\n",
       "0           ANDRAL  Anthony      ANDRAL     Anthony   NaN  7354056   \n",
       "1         AVARGUEZ     Eric    AVARGUEZ        Eric   NaN  6630518   \n",
       "2  BARBIER DARDARE     Léna  BARBIER...        Léna   NaN  7454028   \n",
       "3           BARDEL   Damien      BARDEL      Damien   NaN  7250210   \n",
       "4          BARRAUD     Ines     BARRAUD        Ines   NaN  7354562   \n",
       "\n",
       "  Catégorie ▼▲ Classement ▼▲       Class.  \n",
       "0       Senior   P11/P10/P10  P11/P10/P10  \n",
       "1    Veteran 6    P11/D9/P10   P11/D9/P10  \n",
       "2      Minibad         -/-/-        -/-/-  \n",
       "3    Veteran 1   P12/P12/P11  P12/P12/P11  \n",
       "4          NaN         -/-/-        -/-/-  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_adherents.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "800aceb4-5898-446c-acbb-200b586af797",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 117 entries, 0 to 116\n",
      "Data columns (total 9 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   Nom ▼▲         117 non-null    object \n",
      " 1   Nom ▼▲.1       117 non-null    object \n",
      " 2   Prénom ▼▲      117 non-null    object \n",
      " 3   Prénom ▼▲.1    117 non-null    object \n",
      " 4   Sexe           0 non-null      float64\n",
      " 5   Licence        117 non-null    int64  \n",
      " 6   Catégorie ▼▲   113 non-null    object \n",
      " 7   Classement ▼▲  117 non-null    object \n",
      " 8   Class.         117 non-null    object \n",
      "dtypes: float64(1), int64(1), object(7)\n",
      "memory usage: 8.4+ KB\n"
     ]
    }
   ],
   "source": [
    "df_adherents.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db84ee1c-2236-4e0e-ae93-d44909039b6f",
   "metadata": {},
   "source": [
    "# get_classement"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8483cc21-e432-4725-b44f-914c71bf1f50",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| export\n",
    "\n",
    "def get_classement(\n",
    "    license_number,# le numero de license\n",
    "):\n",
    "    classement_licencie = df_adherents[df_adherents['Licence'] == license_number]['Class.']\n",
    "    return classement_licencie.values[0] if len(classement_licencie)>0 else '-/-/-'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "694cb89b-ad8e-4559-8743-8b7ff64e5821",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'P11/P10/P10'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_classement(7354056)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c0710ded-205e-4ee5-8442-6189f50fb78e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'-/-/-'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#non existing license\n",
    "get_classement(7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7930b8bf-9ab0-43dc-a0d6-93cca7ab1caa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'-/-/-'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#member with no ranking\n",
    "get_classement(7454028)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e95d02a2-3685-4381-89ea-d3d8fd022771",
   "metadata": {},
   "source": [
    "# get_classements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "709ad9c9-bc2b-4a94-bd03-038c744af880",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| export\n",
    "\n",
    "def get_classements(\n",
    "    license_number,# le numero de license\n",
    "):\n",
    "    classement =  get_classement(license_number)\n",
    "    return pd.Series(classement.split('/'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "bcd21443-0f6e-4cff-a5bf-b27a7998bc11",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    P11\n",
       "1    P10\n",
       "2    P10\n",
       "dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_classements(7354056)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0548361f-791b-4baf-80e7-0082fca07006",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    -\n",
       "1    -\n",
       "2    -\n",
       "dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_classements(7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a3db6690-ea9a-4c54-bdf3-e147252f311a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    -\n",
       "1    -\n",
       "2    -\n",
       "dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_classements(7454028)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81e0376e-ef64-4aaf-a57f-cba46d1d10d4",
   "metadata": {},
   "source": [
    "# adherents fournis par le bureau"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4c8ae76c-937d-4a1c-b20e-8c42ef1a44e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "fichier_adherents = 'xls633be4e053e80.xlsx'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ce14e007-a665-4784-926d-930f940be76d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_rbc_adherents = pd.read_excel(fichier_adherents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4ebce63e-9464-408a-8870-faf8ab441076",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>Nom d'usage</th>\n",
       "      <th>Prénom</th>\n",
       "      <th>Licence</th>\n",
       "      <th>Date de naissance</th>\n",
       "      <th>Email de contact</th>\n",
       "      <th>Tél. de contact</th>\n",
       "      <th>Saison</th>\n",
       "      <th>Adhérent validé</th>\n",
       "      <th>Catégorie</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AIGUADEL-JALEME</td>\n",
       "      <td>Pascal</td>\n",
       "      <td>7254760</td>\n",
       "      <td>01-10-1973</td>\n",
       "      <td>bosslaidealj@gmail.com</td>\n",
       "      <td>3.363477e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Oui</td>\n",
       "      <td>Veteran 3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ALONSO MARTINEZ</td>\n",
       "      <td>Lana</td>\n",
       "      <td>7451860</td>\n",
       "      <td>21-10-2006</td>\n",
       "      <td>lana-fred@hotmail.fr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Non</td>\n",
       "      <td>Junior 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ANDRAL</td>\n",
       "      <td>Anthony</td>\n",
       "      <td>7354056</td>\n",
       "      <td>09-08-1989</td>\n",
       "      <td>anthonyandral@gmail.com</td>\n",
       "      <td>3.362213e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Oui</td>\n",
       "      <td>Senior</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ASSELINEAU</td>\n",
       "      <td>Dorian</td>\n",
       "      <td>7354558</td>\n",
       "      <td>10-05-2010</td>\n",
       "      <td>karinecesar@gmail.com</td>\n",
       "      <td>3.368452e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Non</td>\n",
       "      <td>Minime 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AURIERES</td>\n",
       "      <td>Vivien</td>\n",
       "      <td>7386012</td>\n",
       "      <td>21-09-1979</td>\n",
       "      <td>labidoche1@hotmail.fr</td>\n",
       "      <td>3.368702e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Oui</td>\n",
       "      <td>Veteran 2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Nom d'usage   Prénom  Licence Date de naissance  \\\n",
       "0  AIGUADEL-JALEME   Pascal  7254760        01-10-1973   \n",
       "1  ALONSO MARTINEZ     Lana  7451860        21-10-2006   \n",
       "2           ANDRAL  Anthony  7354056        09-08-1989   \n",
       "3       ASSELINEAU   Dorian  7354558        10-05-2010   \n",
       "4         AURIERES   Vivien  7386012        21-09-1979   \n",
       "\n",
       "          Email de contact  Tél. de contact Saison Adhérent validé  Catégorie  \n",
       "0   bosslaidealj@gmail.com     3.363477e+10  22-23             Oui  Veteran 3  \n",
       "1     lana-fred@hotmail.fr              NaN  22-23             Non   Junior 1  \n",
       "2  anthonyandral@gmail.com     3.362213e+10  22-23             Oui     Senior  \n",
       "3    karinecesar@gmail.com     3.368452e+10  22-23             Non   Minime 1  \n",
       "4    labidoche1@hotmail.fr     3.368702e+10  22-23             Oui  Veteran 2  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rbc_adherents.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "848d79e6-9108-45e8-9a74-492fd5093737",
   "metadata": {},
   "source": [
    "# completes par les classements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "31c7d103-1116-47fa-b7b9-c6908b6fefe9",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_rbc_adherents['Classement']= df_rbc_adherents['Licence'].apply(lambda x: get_classement(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "42024e2b-a67d-4c4b-89c9-9fdae59151ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>Nom d'usage</th>\n",
       "      <th>Prénom</th>\n",
       "      <th>Licence</th>\n",
       "      <th>Date de naissance</th>\n",
       "      <th>Email de contact</th>\n",
       "      <th>Tél. de contact</th>\n",
       "      <th>Saison</th>\n",
       "      <th>Adhérent validé</th>\n",
       "      <th>Catégorie</th>\n",
       "      <th>Classement</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AIGUADEL-JALEME</td>\n",
       "      <td>Pascal</td>\n",
       "      <td>7254760</td>\n",
       "      <td>01-10-1973</td>\n",
       "      <td>bosslaidealj@gmail.com</td>\n",
       "      <td>3.363477e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Oui</td>\n",
       "      <td>Veteran 3</td>\n",
       "      <td>-/-/-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ALONSO MARTINEZ</td>\n",
       "      <td>Lana</td>\n",
       "      <td>7451860</td>\n",
       "      <td>21-10-2006</td>\n",
       "      <td>lana-fred@hotmail.fr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Non</td>\n",
       "      <td>Junior 1</td>\n",
       "      <td>-/-/-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ANDRAL</td>\n",
       "      <td>Anthony</td>\n",
       "      <td>7354056</td>\n",
       "      <td>09-08-1989</td>\n",
       "      <td>anthonyandral@gmail.com</td>\n",
       "      <td>3.362213e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Oui</td>\n",
       "      <td>Senior</td>\n",
       "      <td>P11/P10/P10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ASSELINEAU</td>\n",
       "      <td>Dorian</td>\n",
       "      <td>7354558</td>\n",
       "      <td>10-05-2010</td>\n",
       "      <td>karinecesar@gmail.com</td>\n",
       "      <td>3.368452e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Non</td>\n",
       "      <td>Minime 1</td>\n",
       "      <td>-/-/-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AURIERES</td>\n",
       "      <td>Vivien</td>\n",
       "      <td>7386012</td>\n",
       "      <td>21-09-1979</td>\n",
       "      <td>labidoche1@hotmail.fr</td>\n",
       "      <td>3.368702e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Oui</td>\n",
       "      <td>Veteran 2</td>\n",
       "      <td>-/-/-</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Nom d'usage   Prénom  Licence Date de naissance  \\\n",
       "0  AIGUADEL-JALEME   Pascal  7254760        01-10-1973   \n",
       "1  ALONSO MARTINEZ     Lana  7451860        21-10-2006   \n",
       "2           ANDRAL  Anthony  7354056        09-08-1989   \n",
       "3       ASSELINEAU   Dorian  7354558        10-05-2010   \n",
       "4         AURIERES   Vivien  7386012        21-09-1979   \n",
       "\n",
       "          Email de contact  Tél. de contact Saison Adhérent validé  Catégorie  \\\n",
       "0   bosslaidealj@gmail.com     3.363477e+10  22-23             Oui  Veteran 3   \n",
       "1     lana-fred@hotmail.fr              NaN  22-23             Non   Junior 1   \n",
       "2  anthonyandral@gmail.com     3.362213e+10  22-23             Oui     Senior   \n",
       "3    karinecesar@gmail.com     3.368452e+10  22-23             Non   Minime 1   \n",
       "4    labidoche1@hotmail.fr     3.368702e+10  22-23             Oui  Veteran 2   \n",
       "\n",
       "    Classement  \n",
       "0        -/-/-  \n",
       "1        -/-/-  \n",
       "2  P11/P10/P10  \n",
       "3        -/-/-  \n",
       "4        -/-/-  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rbc_adherents.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6d232939-db48-4323-9800-87e3e2eb0aa8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df_rbc_adherents['Licence'].apply(lambda x: get_classements(x))\n",
    "# df_rbc_adherents['S'],df_rbc_adherents['D'],df_rbc_adherents['M']= df_rbc_adherents['Licence'].apply(lambda x: get_classements(x))\n",
    "df_rbc_adherents[['S', 'D', 'M']]= df_rbc_adherents['Licence'].apply(lambda x: get_classements(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "a80432d9-3fec-4fcc-aa90-b9cc1b5f534d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>Nom d'usage</th>\n",
       "      <th>Prénom</th>\n",
       "      <th>Licence</th>\n",
       "      <th>Date de naissance</th>\n",
       "      <th>Email de contact</th>\n",
       "      <th>Tél. de contact</th>\n",
       "      <th>Saison</th>\n",
       "      <th>Adhérent validé</th>\n",
       "      <th>Catégorie</th>\n",
       "      <th>Classement</th>\n",
       "      <th>S</th>\n",
       "      <th>D</th>\n",
       "      <th>M</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AIGUADEL-JALEME</td>\n",
       "      <td>Pascal</td>\n",
       "      <td>7254760</td>\n",
       "      <td>01-10-1973</td>\n",
       "      <td>bosslaidealj@gmail.com</td>\n",
       "      <td>3.363477e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Oui</td>\n",
       "      <td>Veteran 3</td>\n",
       "      <td>-/-/-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ALONSO MARTINEZ</td>\n",
       "      <td>Lana</td>\n",
       "      <td>7451860</td>\n",
       "      <td>21-10-2006</td>\n",
       "      <td>lana-fred@hotmail.fr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Non</td>\n",
       "      <td>Junior 1</td>\n",
       "      <td>-/-/-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ANDRAL</td>\n",
       "      <td>Anthony</td>\n",
       "      <td>7354056</td>\n",
       "      <td>09-08-1989</td>\n",
       "      <td>anthonyandral@gmail.com</td>\n",
       "      <td>3.362213e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Oui</td>\n",
       "      <td>Senior</td>\n",
       "      <td>P11/P10/P10</td>\n",
       "      <td>P11</td>\n",
       "      <td>P10</td>\n",
       "      <td>P10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ASSELINEAU</td>\n",
       "      <td>Dorian</td>\n",
       "      <td>7354558</td>\n",
       "      <td>10-05-2010</td>\n",
       "      <td>karinecesar@gmail.com</td>\n",
       "      <td>3.368452e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Non</td>\n",
       "      <td>Minime 1</td>\n",
       "      <td>-/-/-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AURIERES</td>\n",
       "      <td>Vivien</td>\n",
       "      <td>7386012</td>\n",
       "      <td>21-09-1979</td>\n",
       "      <td>labidoche1@hotmail.fr</td>\n",
       "      <td>3.368702e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Oui</td>\n",
       "      <td>Veteran 2</td>\n",
       "      <td>-/-/-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Nom d'usage   Prénom  Licence Date de naissance  \\\n",
       "0  AIGUADEL-JALEME   Pascal  7254760        01-10-1973   \n",
       "1  ALONSO MARTINEZ     Lana  7451860        21-10-2006   \n",
       "2           ANDRAL  Anthony  7354056        09-08-1989   \n",
       "3       ASSELINEAU   Dorian  7354558        10-05-2010   \n",
       "4         AURIERES   Vivien  7386012        21-09-1979   \n",
       "\n",
       "          Email de contact  Tél. de contact Saison Adhérent validé  Catégorie  \\\n",
       "0   bosslaidealj@gmail.com     3.363477e+10  22-23             Oui  Veteran 3   \n",
       "1     lana-fred@hotmail.fr              NaN  22-23             Non   Junior 1   \n",
       "2  anthonyandral@gmail.com     3.362213e+10  22-23             Oui     Senior   \n",
       "3    karinecesar@gmail.com     3.368452e+10  22-23             Non   Minime 1   \n",
       "4    labidoche1@hotmail.fr     3.368702e+10  22-23             Oui  Veteran 2   \n",
       "\n",
       "    Classement    S    D    M  \n",
       "0        -/-/-    -    -    -  \n",
       "1        -/-/-    -    -    -  \n",
       "2  P11/P10/P10  P11  P10  P10  \n",
       "3        -/-/-    -    -    -  \n",
       "4        -/-/-    -    -    -  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_rbc_adherents.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "f6273126-27a3-45dc-9ead-9000a3dd3cd1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df_rbc_adherents.to_excel('classements_'+fichier_adherents.split('.')[0]+'.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94087747-d955-4a1d-ad5a-0608b1a2d83a",
   "metadata": {},
   "source": [
    "# add_classements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "713cd525-1732-4c33-8eae-6d2d23a6718f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| export\n",
    "\n",
    "def add_classements(dataframe, #le dataframe des adherents\n",
    "                   ):\n",
    "    dataframe = dataframe.copy()\n",
    "    dataframe['Classement']= dataframe['Licence'].apply(lambda x: get_classement(x))\n",
    "    dataframe[['S', 'D', 'M']]= dataframe['Licence'].apply(lambda x: get_classements(x))\n",
    "    return dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "790ae66f-1713-44b8-8934-5f643a90cade",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\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>Nom d'usage</th>\n",
       "      <th>Prénom</th>\n",
       "      <th>Licence</th>\n",
       "      <th>Date de naissance</th>\n",
       "      <th>Email de contact</th>\n",
       "      <th>Tél. de contact</th>\n",
       "      <th>Saison</th>\n",
       "      <th>Adhérent validé</th>\n",
       "      <th>Catégorie</th>\n",
       "      <th>Classement</th>\n",
       "      <th>S</th>\n",
       "      <th>D</th>\n",
       "      <th>M</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AIGUADEL-JALEME</td>\n",
       "      <td>Pascal</td>\n",
       "      <td>7254760</td>\n",
       "      <td>01-10-1973</td>\n",
       "      <td>bosslaidealj@gmail.com</td>\n",
       "      <td>3.363477e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Oui</td>\n",
       "      <td>Veteran 3</td>\n",
       "      <td>-/-/-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ALONSO MARTINEZ</td>\n",
       "      <td>Lana</td>\n",
       "      <td>7451860</td>\n",
       "      <td>21-10-2006</td>\n",
       "      <td>lana-fred@hotmail.fr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Non</td>\n",
       "      <td>Junior 1</td>\n",
       "      <td>-/-/-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ANDRAL</td>\n",
       "      <td>Anthony</td>\n",
       "      <td>7354056</td>\n",
       "      <td>09-08-1989</td>\n",
       "      <td>anthonyandral@gmail.com</td>\n",
       "      <td>3.362213e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Oui</td>\n",
       "      <td>Senior</td>\n",
       "      <td>P11/P10/P10</td>\n",
       "      <td>P11</td>\n",
       "      <td>P10</td>\n",
       "      <td>P10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ASSELINEAU</td>\n",
       "      <td>Dorian</td>\n",
       "      <td>7354558</td>\n",
       "      <td>10-05-2010</td>\n",
       "      <td>karinecesar@gmail.com</td>\n",
       "      <td>3.368452e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Non</td>\n",
       "      <td>Minime 1</td>\n",
       "      <td>-/-/-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AURIERES</td>\n",
       "      <td>Vivien</td>\n",
       "      <td>7386012</td>\n",
       "      <td>21-09-1979</td>\n",
       "      <td>labidoche1@hotmail.fr</td>\n",
       "      <td>3.368702e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Oui</td>\n",
       "      <td>Veteran 2</td>\n",
       "      <td>-/-/-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "      <td>-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>VARAGNAT</td>\n",
       "      <td>Caroline</td>\n",
       "      <td>6911311</td>\n",
       "      <td>18-05-1992</td>\n",
       "      <td>caroline.varagnat@gmail.com</td>\n",
       "      <td>3.366256e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Oui</td>\n",
       "      <td>Senior</td>\n",
       "      <td>R6/D7/R6</td>\n",
       "      <td>R6</td>\n",
       "      <td>D7</td>\n",
       "      <td>R6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>VERMUSEAU</td>\n",
       "      <td>Fabrice</td>\n",
       "      <td>7400889</td>\n",
       "      <td>27-09-1995</td>\n",
       "      <td>fabrice.vermuseau@gmail.com</td>\n",
       "      <td>3.361689e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Oui</td>\n",
       "      <td>Senior</td>\n",
       "      <td>P12/P12/P12</td>\n",
       "      <td>P12</td>\n",
       "      <td>P12</td>\n",
       "      <td>P12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>VICARD</td>\n",
       "      <td>Lucette</td>\n",
       "      <td>492624</td>\n",
       "      <td>09-09-1970</td>\n",
       "      <td>jelp95@yahoo.fr</td>\n",
       "      <td>3.366088e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Oui</td>\n",
       "      <td>Veteran 4</td>\n",
       "      <td>P11/D9/D9</td>\n",
       "      <td>P11</td>\n",
       "      <td>D9</td>\n",
       "      <td>D9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>VIDAL</td>\n",
       "      <td>Nicolas</td>\n",
       "      <td>7428333</td>\n",
       "      <td>09-11-1993</td>\n",
       "      <td>nicovidal@orange.fr</td>\n",
       "      <td>3.365941e+10</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Oui</td>\n",
       "      <td>Senior</td>\n",
       "      <td>NC/NC/NC</td>\n",
       "      <td>NC</td>\n",
       "      <td>NC</td>\n",
       "      <td>NC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>VIGIER-GANEAU</td>\n",
       "      <td>Martin</td>\n",
       "      <td>7447644</td>\n",
       "      <td>23-02-2010</td>\n",
       "      <td>michvigier@gmail.com</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22-23</td>\n",
       "      <td>Non</td>\n",
       "      <td>Minime 1</td>\n",
       "      <td>NC/NC/NC</td>\n",
       "      <td>NC</td>\n",
       "      <td>NC</td>\n",
       "      <td>NC</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>154 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Nom d'usage    Prénom  Licence Date de naissance  \\\n",
       "0    AIGUADEL-JALEME    Pascal  7254760        01-10-1973   \n",
       "1    ALONSO MARTINEZ      Lana  7451860        21-10-2006   \n",
       "2             ANDRAL   Anthony  7354056        09-08-1989   \n",
       "3         ASSELINEAU    Dorian  7354558        10-05-2010   \n",
       "4           AURIERES    Vivien  7386012        21-09-1979   \n",
       "..               ...       ...      ...               ...   \n",
       "149         VARAGNAT  Caroline  6911311        18-05-1992   \n",
       "150        VERMUSEAU   Fabrice  7400889        27-09-1995   \n",
       "151           VICARD   Lucette   492624        09-09-1970   \n",
       "152            VIDAL   Nicolas  7428333        09-11-1993   \n",
       "153    VIGIER-GANEAU    Martin  7447644        23-02-2010   \n",
       "\n",
       "                Email de contact  Tél. de contact Saison Adhérent validé  \\\n",
       "0         bosslaidealj@gmail.com     3.363477e+10  22-23             Oui   \n",
       "1           lana-fred@hotmail.fr              NaN  22-23             Non   \n",
       "2        anthonyandral@gmail.com     3.362213e+10  22-23             Oui   \n",
       "3          karinecesar@gmail.com     3.368452e+10  22-23             Non   \n",
       "4          labidoche1@hotmail.fr     3.368702e+10  22-23             Oui   \n",
       "..                           ...              ...    ...             ...   \n",
       "149  caroline.varagnat@gmail.com     3.366256e+10  22-23             Oui   \n",
       "150  fabrice.vermuseau@gmail.com     3.361689e+10  22-23             Oui   \n",
       "151              jelp95@yahoo.fr     3.366088e+10  22-23             Oui   \n",
       "152          nicovidal@orange.fr     3.365941e+10  22-23             Oui   \n",
       "153         michvigier@gmail.com              NaN  22-23             Non   \n",
       "\n",
       "     Catégorie   Classement    S    D    M  \n",
       "0    Veteran 3        -/-/-    -    -    -  \n",
       "1     Junior 1        -/-/-    -    -    -  \n",
       "2       Senior  P11/P10/P10  P11  P10  P10  \n",
       "3     Minime 1        -/-/-    -    -    -  \n",
       "4    Veteran 2        -/-/-    -    -    -  \n",
       "..         ...          ...  ...  ...  ...  \n",
       "149     Senior     R6/D7/R6   R6   D7   R6  \n",
       "150     Senior  P12/P12/P12  P12  P12  P12  \n",
       "151  Veteran 4    P11/D9/D9  P11   D9   D9  \n",
       "152     Senior     NC/NC/NC   NC   NC   NC  \n",
       "153   Minime 1     NC/NC/NC   NC   NC   NC  \n",
       "\n",
       "[154 rows x 13 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "add_classements(df_rbc_adherents)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a97539d1-5a70-43a0-a192-8810c1370cd2",
   "metadata": {},
   "source": [
    "# Export rbc.rbc.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "14bc268e-7f73-4812-ba07-b939bb7e6c93",
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide\n",
    "\n",
    "import nbdev; nbdev.export.nb_export('update_classement.ipynb', lib_path='.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "da3ec39b-afad-4e0d-9056-7266f94d9399",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "rbc",
   "language": "python",
   "name": "rbc"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}