Humanitaire-securitaire.ipynb

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      "C:\\Users\\tlp\\Anaconda3\\lib\\site-packages\\pandas\\core\\computation\\expressions.py:20: UserWarning: Pandas requires version '2.7.3' or newer of 'numexpr' (version '2.7.1' currently installed).\n",
      "  from pandas.core.computation.check import NUMEXPR_INSTALLED\n"
     ]
    }
   ],
   "source": [
    "# Package generaux\n",
    "import ast\n",
    "import spacy\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "from tqdm import tqdm\n",
    "\n",
    "# Packages NLP\n",
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.naive_bayes import MultinomialNB\n",
    "from sklearn.metrics import classification_report"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
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    {
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     "output_type": "stream",
     "text": [
      "(8918, 8)\n"
     ]
    },
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Journal</th>\n",
       "      <th>Titre</th>\n",
       "      <th>Date</th>\n",
       "      <th>Auteur</th>\n",
       "      <th>Texte</th>\n",
       "      <th>extrait_debut</th>\n",
       "      <th>extrait_fin</th>\n",
       "      <th>CJournal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Le Figaro, no. 23520</td>\n",
       "      <td>L'agenda caché de Moscou en Italie</td>\n",
       "      <td>2020-03-30</td>\n",
       "      <td>Lasserre, Isabelle</td>\n",
       "      <td>LES SYMBOLES comptent parfois plus que les fai...</td>\n",
       "      <td>Sur les camions militaires qui, en colonnes, ...</td>\n",
       "      <td>Deux semaines pour se ressaisir et s'unir ou p...</td>\n",
       "      <td>Figaro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Le Monde</td>\n",
       "      <td>Récit   Les trois semaines qui ont chamboulé l...</td>\n",
       "      <td>2020-03-27</td>\n",
       "      <td>Éric Albert, Cécile Boutelet, Jérôme Gautheret...</td>\n",
       "      <td>Londres, Berlin, Rome et Bruxelles corresponda...</td>\n",
       "      <td>- Jeudi 26 mars, les Vingt-Sept devaient se r...</td>\n",
       "      <td>pandémie touche tout le monde, indifféremment ...</td>\n",
       "      <td>Monde</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Le Figaro (site web)</td>\n",
       "      <td>Élargissement de l’Union européenne à l’heure ...</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>Tandonnet, Maxime</td>\n",
       "      <td>Fin observateur de la vie politique française ...</td>\n",
       "      <td>contributeur régulier du FigaroVox, Maxime Tan...</td>\n",
       "      <td>es yeux et de se préparer au changement d’un m...</td>\n",
       "      <td>Figaro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Le Monde (site web)</td>\n",
       "      <td>Coronavirus : les trois semaines qui ont chamb...</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>Eric Albert, Jérôme Gautheret, Cécile Boutelet...</td>\n",
       "      <td>Jeudi 26 mars, les Vingt-Sept doivent se réuni...</td>\n",
       "      <td>n visioconférence pour la troisième fois en mo...</td>\n",
       "      <td>e la tenue de ses comptes publics, n’est pas s...</td>\n",
       "      <td>Monde</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Le Monde (site web)</td>\n",
       "      <td>Marc Lazar : « Plus l’Italie fait nation face ...</td>\n",
       "      <td>2020-03-25</td>\n",
       "      <td>Marc Lazar</td>\n",
       "      <td>Tribune. L’Italie est le pays qui enregistre à...</td>\n",
       "      <td>date du 25 mars le plus grand nombre de morts...</td>\n",
       "      <td>t de la School of Government de la Luiss (Libr...</td>\n",
       "      <td>Monde</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Journal  \\\n",
       "0   Le Figaro, no. 23520      \n",
       "1               Le Monde      \n",
       "2   Le Figaro (site web)      \n",
       "3    Le Monde (site web)      \n",
       "4    Le Monde (site web)      \n",
       "\n",
       "                                               Titre        Date  \\\n",
       "0                 L'agenda caché de Moscou en Italie  2020-03-30   \n",
       "1  Récit   Les trois semaines qui ont chamboulé l...  2020-03-27   \n",
       "2  Élargissement de l’Union européenne à l’heure ...  2020-03-26   \n",
       "3  Coronavirus : les trois semaines qui ont chamb...  2020-03-26   \n",
       "4  Marc Lazar : « Plus l’Italie fait nation face ...  2020-03-25   \n",
       "\n",
       "                                              Auteur  \\\n",
       "0                                 Lasserre, Isabelle   \n",
       "1  Éric Albert, Cécile Boutelet, Jérôme Gautheret...   \n",
       "2                                  Tandonnet, Maxime   \n",
       "3  Eric Albert, Jérôme Gautheret, Cécile Boutelet...   \n",
       "4                                         Marc Lazar   \n",
       "\n",
       "                                               Texte  \\\n",
       "0  LES SYMBOLES comptent parfois plus que les fai...   \n",
       "1  Londres, Berlin, Rome et Bruxelles corresponda...   \n",
       "2  Fin observateur de la vie politique française ...   \n",
       "3  Jeudi 26 mars, les Vingt-Sept doivent se réuni...   \n",
       "4  Tribune. L’Italie est le pays qui enregistre à...   \n",
       "\n",
       "                                       extrait_debut  \\\n",
       "0   Sur les camions militaires qui, en colonnes, ...   \n",
       "1   - Jeudi 26 mars, les Vingt-Sept devaient se r...   \n",
       "2  contributeur régulier du FigaroVox, Maxime Tan...   \n",
       "3  n visioconférence pour la troisième fois en mo...   \n",
       "4   date du 25 mars le plus grand nombre de morts...   \n",
       "\n",
       "                                         extrait_fin CJournal  \n",
       "0  Deux semaines pour se ressaisir et s'unir ou p...   Figaro  \n",
       "1  pandémie touche tout le monde, indifféremment ...    Monde  \n",
       "2  es yeux et de se préparer au changement d’un m...   Figaro  \n",
       "3  e la tenue de ses comptes publics, n’est pas s...    Monde  \n",
       "4  t de la School of Government de la Luiss (Libr...    Monde  "
      ]
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     "execution_count": 2,
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   ],
   "source": [
    "df = pd.read_csv(r'data_cleaned/initial_corpus.csv')\n",
    "\n",
    "print(df.shape)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Création d'un dataset sans les références aux nationalités"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On extrait des articles tous les mots qui peuvent influencer le modèle dans son apprentissage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "<div>\n",
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       "    }\n",
       "\n",
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       "        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>Pays</th>\n",
       "      <th>Nationalité</th>\n",
       "      <th>Capitale</th>\n",
       "      <th>Continent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>Afghan</td>\n",
       "      <td>Kaboul</td>\n",
       "      <td>Asie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afrique du Sud</td>\n",
       "      <td>Sud-africain</td>\n",
       "      <td>Pretoria</td>\n",
       "      <td>Afrique</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Albanie</td>\n",
       "      <td>Albanais</td>\n",
       "      <td>Tirana</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Algérie</td>\n",
       "      <td>Algérien</td>\n",
       "      <td>Alger</td>\n",
       "      <td>Afrique</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Allemagne</td>\n",
       "      <td>Allemand</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Europe</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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      "text/plain": [
       "             Pays   Nationalité  Capitale Continent\n",
       "0     Afghanistan        Afghan    Kaboul      Asie\n",
       "1  Afrique du Sud  Sud-africain  Pretoria   Afrique\n",
       "2         Albanie      Albanais    Tirana    Europe\n",
       "3         Algérie      Algérien     Alger   Afrique\n",
       "4       Allemagne      Allemand    Berlin    Europe"
      ]
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       "(159, 4)"
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   "source": [
    "# Liste des pays avec leur nationalité, capitale et continent\n",
    "pays_nationalite = [\n",
    "    (\"Afghanistan\", \"Afghan\", \"Kaboul\", \"Asie\"),\n",
    "    (\"Afrique du Sud\", \"Sud-africain\", \"Pretoria\", \"Afrique\"),\n",
    "    (\"Albanie\", \"Albanais\", \"Tirana\", \"Europe\"),\n",
    "    (\"Algérie\", \"Algérien\", \"Alger\", \"Afrique\"),\n",
    "    (\"Allemagne\", \"Allemand\", \"Berlin\", \"Europe\"),\n",
    "    (\"Andorre\", \"Andorran\", \"Andorre-la-Vieille\", \"Europe\"),\n",
    "    (\"Angola\", \"Angolais\", \"Luanda\", \"Afrique\"),\n",
    "    (\"Antigua-et-Barbuda\", \"Antiguais\", \"Saint John's\", \"Amérique du Nord\"),\n",
    "    (\"Arabie saoudite\", \"Saoudien\", \"Riyad\", \"Asie\"),\n",
    "    (\"Argentine\", \"Argentin\", \"Buenos Aires\", \"Amérique du Sud\"),\n",
    "    (\"Arménie\", \"Arménien\", \"Erevan\", \"Europe\"),\n",
    "    (\"Australie\", \"Australien\", \"Canberra\", \"Océanie\"),\n",
    "    (\"Autriche\", \"Autrichien\", \"Vienne\", \"Europe\"),\n",
    "    (\"Azerbaïdjan\", \"Azéri\", \"Bakou\", \"Europe\"),\n",
    "    (\"Zimbabwe\", \"Zimbabwéen\", \"Harare\", \"Afrique\"),\n",
    "    (\"Égypte\", \"Égyptien\", \"Le Caire\", \"Afrique\"),\n",
    "    (\"Émirats arabes unis\", \"Émirien\", \"Abou Dabi\", \"Asie\"),\n",
    "    (\"Équateur\", \"Équatorien\", \"Quito\", \"Amérique du Sud\"),\n",
    "    (\"Érythrée\", \"Érythréen\", \"Asmara\", \"Afrique\"),\n",
    "    (\"Espagne\", \"Espagnol\", \"Madrid\", \"Europe\"),\n",
    "    (\"Estonie\", \"Estonien\", \"Tallinn\", \"Europe\"),\n",
    "    (\"États-Unis\", \"Américain\", \"Washington\", \"Amérique du Nord\"),\n",
    "    (\"Éthiopie\", \"Éthiopien\", \"Addis-Abeba\", \"Afrique\"),\n",
    "    (\"Fidji\", \"Fidjien\", \"Suva\", \"Océanie\"),\n",
    "    (\"Finlande\", \"Finlandais\", \"Helsinki\", \"Europe\"),\n",
    "    (\"France\", \"Français\", \"Paris\", \"Europe\"),\n",
    "    (\"Gabon\", \"Gabonais\", \"Libreville\", \"Afrique\"),\n",
    "    (\"Gambie\", \"Gambien\", \"Banjul\", \"Afrique\"),\n",
    "    (\"Géorgie\", \"Géorgien\", \"Tbilissi\", \"Europe\"),\n",
    "    (\"Ghana\", \"Ghanéen\", \"Accra\", \"Afrique\"),\n",
    "    (\"Grèce\", \"Grec\", \"Athènes\", \"Europe\"),\n",
    "    (\"Grenade\", \"Grenadien\", \"Saint-Georges\", \"Amérique du Nord\"),\n",
    "    (\"Guatemala\", \"Guatémaltèque\", \"Guatemala\", \"Amérique du Nord\"),\n",
    "    (\"Guinée\", \"Guinéen\", \"Conakry\", \"Afrique\"),\n",
    "    (\"Guinée-Bissau\", \"Bissau-Guinéen\", \"Bissau\", \"Afrique\"),\n",
    "    (\"Guinée équatoriale\", \"Équatoguinéen\", \"Malabo\", \"Afrique\"),\n",
    "    (\"Guyana\", \"Guyanais\", \"Georgetown\", \"Amérique du Sud\"),\n",
    "    (\"Haïti\", \"Haïtien\", \"Port-au-Prince\", \"Amérique du Nord\"),\n",
    "    (\"Honduras\", \"Hondurien\", \"Tegucigalpa\", \"Amérique du Nord\"),\n",
    "    (\"Hongrie\", \"Hongrois\", \"Budapest\", \"Europe\"),\n",
    "    (\"Îles Marshall\", \"Marshallais\", \"Majuro\", \"Océanie\"),\n",
    "    (\"Inde\", \"Indien\", \"New Delhi\", \"Asie\"),\n",
    "    (\"Indonésie\", \"Indonésien\", \"Jakarta\", \"Asie\"),\n",
    "    (\"Irak\", \"Irakien\", \"Bagdad\", \"Asie\"),\n",
    "    (\"Iran\", \"Iranien\", \"Téhéran\", \"Asie\"),\n",
    "    (\"Irlande\", \"Irlandais\", \"Dublin\", \"Europe\"),\n",
    "    (\"Islande\", \"Islandais\", \"Reykjavik\", \"Europe\"),\n",
    "    (\"Israël\", \"Israélien\", \"Jérusalem\", \"Asie\"),\n",
    "    (\"Italie\", \"Italien\", \"Rome\", \"Europe\"),\n",
    "    (\"Jamaïque\", \"Jamaïcain\", \"Kingston\", \"Amérique du Nord\"),\n",
    "    (\"Japon\", \"Japonais\", \"Tokyo\", \"Asie\"),\n",
    "    (\"Jordanie\", \"Jordanien\", \"Amman\", \"Asie\"),\n",
    "    (\"Kazakhstan\", \"Kazakh\", \"Noursoultan\", \"Asie\"),\n",
    "    (\"Kenya\", \"Kényan\", \"Nairobi\", \"Afrique\"),\n",
    "    (\"Kirghizistan\", \"Kirghize\", \"Bichkek\", \"Asie\"),\n",
    "    (\"Kiribati\", \"Kiribatien\", \"Tarawa\", \"Océanie\"),\n",
    "    (\"Koweït\", \"Koweïtien\", \"Koweït\", \"Asie\"),\n",
    "    (\"Laos\", \"Laotien\", \"Vientiane\", \"Asie\"),\n",
    "    (\"Lesotho\", \"Lesothan\", \"Maseru\", \"Afrique\"),\n",
    "    (\"Lettonie\", \"Letton\", \"Riga\", \"Europe\"),\n",
    "    (\"Liban\", \"Libanais\", \"Beyrouth\", \"Asie\"),\n",
    "    (\"Libéria\", \"Libérien\", \"Monrovia\", \"Afrique\"),\n",
    "    (\"Libye\", \"Libyen\", \"Tripoli\", \"Afrique\"),\n",
    "    (\"Liechtenstein\", \"Liechtensteinois\", \"Vaduz\", \"Europe\"),\n",
    "    (\"Lituanie\", \"Lituanien\", \"Vilnius\", \"Europe\"),\n",
    "    (\"Luxembourg\", \"Luxembourgeois\", \"Luxembourg\", \"Europe\"),\n",
    "    (\"Macédoine du Nord\", \"Macédonien\", \"Skopje\", \"Europe\"),\n",
    "    (\"Madagascar\", \"Malgache\", \"Antananarivo\", \"Afrique\"),\n",
    "    (\"Malaisie\", \"Malaisien\", \"Kuala Lumpur\", \"Asie\"),\n",
    "    (\"Malawi\", \"Malawien\", \"Lilongwe\", \"Afrique\"),\n",
    "    (\"Maldives\", \"Maldivien\", \"Malé\", \"Asie\"),\n",
    "    (\"Mali\", \"Malien\", \"Bamako\", \"Afrique\"),\n",
    "    (\"Malte\", \"Maltais\", \"La Valette\", \"Europe\"),\n",
    "    (\"Maroc\", \"Marocain\", \"Rabat\", \"Afrique\"),\n",
    "    (\"Maurice\", \"Mauricien\", \"Port-Louis\", \"Afrique\"),\n",
    "    (\"Mauritanie\", \"Mauritanien\", \"Nouakchott\", \"Afrique\"),\n",
    "    (\"Mexique\", \"Mexicain\", \"Mexico\", \"Amérique du Nord\"),\n",
    "    (\"Micronésie\", \"Micronésien\", \"Palikir\", \"Océanie\"),\n",
    "    (\"Moldavie\", \"Moldave\", \"Chisinau\", \"Europe\"),\n",
    "    (\"Monaco\", \"Monégasque\", \"Monaco\", \"Europe\"),\n",
    "    (\"Mongolie\", \"Mongol\", \"Oulan-Bator\", \"Asie\"),\n",
    "    (\"Monténégro\", \"Monténégrin\", \"Podgorica\", \"Europe\"),\n",
    "    (\"Mozambique\", \"Mozambicain\", \"Maputo\", \"Afrique\"),\n",
    "    (\"Namibie\", \"Namibien\", \"Windhoek\", \"Afrique\"),\n",
    "    (\"Nauru\", \"Nauruan\", \"Yaren\", \"Océanie\"),\n",
    "    (\"Népal\", \"Népalais\", \"Katmandou\", \"Asie\"),\n",
    "    (\"Nicaragua\", \"Nicaraguayen\", \"Managua\", \"Amérique du Nord\"),\n",
    "    (\"Niger\", \"Nigérien\", \"Niamey\", \"Afrique\"),\n",
    "    (\"Nigeria\", \"Nigérian\", \"Abuja\", \"Afrique\"),\n",
    "    (\"Niue\", \"Niuéen\", \"Alofi\", \"Océanie\"),\n",
    "    (\"Norvège\", \"Norvégien\", \"Oslo\", \"Europe\"),\n",
    "    (\"Nouvelle-Zélande\", \"Néo-zélandais\", \"Wellington\", \"Océanie\"),\n",
    "    (\"Oman\", \"Omanais\", \"Mascate\", \"Asie\"),\n",
    "    (\"Ouganda\", \"Ougandais\", \"Kampala\", \"Afrique\"),\n",
    "    (\"Ouzbékistan\", \"Ouzbek\", \"Tachkent\", \"Asie\"),\n",
    "    (\"Pakistan\", \"Pakistanais\", \"Islamabad\", \"Asie\"),\n",
    "    (\"Palaos\", \"Palauan\", \"Ngerulmud\", \"Océanie\"),\n",
    "    (\"Panama\", \"Panaméen\", \"Panama\", \"Amérique du Nord\"),\n",
    "    (\"Papouasie-Nouvelle-Guinée\", \"Papouan-Néo-Guinéen\", \"Port Moresby\", \"Océanie\"),\n",
    "    (\"Paraguay\", \"Paraguayen\", \"Asunción\", \"Amérique du Sud\"),\n",
    "    (\"Pays-Bas\", \"Néerlandais\", \"Amsterdam\", \"Europe\"),\n",
    "    (\"Pérou\", \"Péruvien\", \"Lima\", \"Amérique du Sud\"),\n",
    "    (\"Philippines\", \"Philippin\", \"Manille\", \"Asie\"),\n",
    "    (\"Pologne\", \"Polonais\", \"Varsovie\", \"Europe\"),\n",
    "    (\"Portugal\", \"Portugais\", \"Lisbonne\", \"Europe\"),\n",
    "    (\"Qatar\", \"Qatarien\", \"Doha\", \"Asie\"),\n",
    "    (\"République centrafricaine\", \"Centrafricain\", \"Bangui\", \"Afrique\"),\n",
    "    (\"République démocratique du Congo\", \"Congolais\", \"Kinshasa\", \"Afrique\"),\n",
    "    (\"République dominicaine\", \"Dominicain\", \"Saint-Domingue\", \"Amérique du Nord\"),\n",
    "    (\"République tchèque\", \"Tchèque\", \"Prague\", \"Europe\"),\n",
    "    (\"Roumanie\", \"Roumain\", \"Bucarest\", \"Europe\"),\n",
    "    (\"Royaume-Uni\", \"Britannique\", \"Londres\", \"Europe\"),\n",
    "    (\"Russie\", \"Russe\", \"Moscou\", \"Europe\"),\n",
    "    (\"Rwanda\", \"Rwandais\", \"Kigali\", \"Afrique\"),\n",
    "    (\"Saint-Christophe-et-Niévès\", \"Saint-Christophien et Névicien\", \"Basseterre\", \"Amérique du Nord\"),\n",
    "    (\"Saint-Marin\", \"Saint-Marinais\", \"Saint-Marin\", \"Europe\"),\n",
    "    (\"Saint-Vincent-et-les-Grenadines\", \"Saint-Vincentais et Grenadin\", \"Kingstown\", \"Amérique du Nord\"),\n",
    "    (\"Sainte-Lucie\", \"Saint-Lucien\", \"Castries\", \"Amérique du Nord\"),\n",
    "    (\"Salomon\", \"Salomonais\", \"Honiara\", \"Océanie\"),\n",
    "    (\"Salvador\", \"Salvadorien\", \"San Salvador\", \"Amérique du Nord\"),\n",
    "    (\"Samoa\", \"Samoan\", \"Apia\", \"Océanie\"),\n",
    "    (\"São Tomé-et-Príncipe\", \"Santoméen\", \"São Tomé\", \"Afrique\"),\n",
    "    (\"Sénégal\", \"Sénégalais\", \"Dakar\", \"Afrique\"),\n",
    "    (\"Serbie\", \"Serbe\", \"Belgrade\", \"Europe\"),\n",
    "    (\"Seychelles\", \"Seychellois\", \"Victoria\", \"Afrique\"),\n",
    "    (\"Sierra Leone\", \"Sierra-léonais\", \"Freetown\", \"Afrique\"),\n",
    "    (\"Singapour\", \"Singapourien\", \"Singapour\", \"Asie\"),\n",
    "    (\"Slovaquie\", \"Slovaque\", \"Bratislava\", \"Europe\"),\n",
    "    (\"Slovénie\", \"Slovène\", \"Ljubljana\", \"Europe\"),\n",
    "    (\"Somalie\", \"Somalien\", \"Mogadiscio\", \"Afrique\"),\n",
    "    (\"Soudan\", \"Soudanais\", \"Khartoum\", \"Afrique\"),\n",
    "    (\"Soudan du Sud\", \"Sud-Soudanais\", \"Djouba\", \"Afrique\"),\n",
    "    (\"Sri Lanka\", \"Sri-lankais\", \"Sri Jayawardenapura Kotte\", \"Asie\"),\n",
    "    (\"Suède\", \"Suédois\", \"Stockholm\", \"Europe\"),\n",
    "    (\"Suisse\", \"Suisse\", \"Berne\", \"Europe\"),\n",
    "    (\"Suriname\", \"Surinamien\", \"Paramaribo\", \"Amérique du Sud\"),\n",
    "    (\"Syrie\", \"Syrien\", \"Damas\", \"Asie\"),\n",
    "    (\"Swaziland\", \"Swazilandais\", \"Mbabane\", \"Afrique\"),\n",
    "    (\"Tadjikistan\", \"Tadjik\", \"Douchanbé\", \"Asie\"),\n",
    "    (\"Tanzanie\", \"Tanzanien\", \"Dodoma\", \"Afrique\"),\n",
    "    (\"Tchad\", \"Tchadien\", \"N'Djaména\", \"Afrique\"),\n",
    "    (\"Thaïlande\", \"Thaïlandais\", \"Bangkok\", \"Asie\"),\n",
    "    (\"Timor oriental\", \"Est-timorais\", \"Dili\", \"Asie\"),\n",
    "    (\"Togo\", \"Togolais\", \"Lomé\", \"Afrique\"),\n",
    "    (\"Tonga\", \"Tongan\", \"Nuku'alofa\", \"Océanie\"),\n",
    "    (\"Trinité-et-Tobago\", \"Trinidadien\", \"Port-d'Espagne\", \"Amérique du Nord\"),\n",
    "    (\"Tunisie\", \"Tunisien\", \"Tunis\", \"Afrique\"),\n",
    "    (\"Turkménistan\", \"Turkmène\", \"Achgabat\", \"Asie\"),\n",
    "    (\"Turquie\", \"Turc\", \"Ankara\", \"Europe\"),\n",
    "    (\"Tuvalu\", \"Tuvaluan\", \"Funafuti\", \"Océanie\"),\n",
    "    (\"Ukraine\", \"Ukrainien\", \"Kiev\", \"Europe\"),\n",
    "    (\"Uruguay\", \"Uruguayen\", \"Montevideo\", \"Amérique du Sud\"),\n",
    "    (\"Vanuatu\", \"Vanuatuan\", \"Port-Vila\", \"Océanie\"),\n",
    "    (\"Vatican\", \"Vaticanais\", \"Vatican\", \"Europe\"),\n",
    "    (\"Venezuela\", \"Vénézuélien\", \"Caracas\", \"Amérique du Sud\"),\n",
    "    (\"Viêt Nam\", \"Vietnamien\", \"Hanoï\", \"Asie\"),\n",
    "    (\"Yémen\", \"Yéménite\", \"Sanaa\", \"Asie\"),\n",
    "    (\"Zambie\", \"Zambien\", \"Lusaka\", \"Afrique\"),\n",
    "    (\"Zimbabwe\", \"Zimbabwéen\", \"Harare\", \"Afrique\")\n",
    "]\n",
    "\n",
    "df_pays = pd.DataFrame(pays_nationalite, columns=[\"Pays\", \"Nationalité\", \"Capitale\", \"Continent\"])\n",
    "\n",
    "display(df_pays.head())\n",
    "df_pays.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>Nationalité</th>\n",
       "      <th>Masculin Singulier</th>\n",
       "      <th>Masculin Pluriel</th>\n",
       "      <th>Féminin Singulier</th>\n",
       "      <th>Féminin Pluriel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghan</td>\n",
       "      <td>Afghan</td>\n",
       "      <td>Afghans</td>\n",
       "      <td>Afghane</td>\n",
       "      <td>Afghanes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sud-africain</td>\n",
       "      <td>Sud-africain</td>\n",
       "      <td>Sud-africains</td>\n",
       "      <td>Sud-africaine</td>\n",
       "      <td>Sud-africaines</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Albanais</td>\n",
       "      <td>Albanais</td>\n",
       "      <td>Albanaiss</td>\n",
       "      <td>Albanaise</td>\n",
       "      <td>Albanaises</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Algérien</td>\n",
       "      <td>Algérien</td>\n",
       "      <td>Algériens</td>\n",
       "      <td>Algériene</td>\n",
       "      <td>Algérienes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Allemand</td>\n",
       "      <td>Allemand</td>\n",
       "      <td>Allemands</td>\n",
       "      <td>Allemande</td>\n",
       "      <td>Allemandes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Nationalité Masculin Singulier Masculin Pluriel Féminin Singulier  \\\n",
       "0        Afghan             Afghan          Afghans           Afghane   \n",
       "1  Sud-africain       Sud-africain    Sud-africains     Sud-africaine   \n",
       "2      Albanais           Albanais        Albanaiss         Albanaise   \n",
       "3      Algérien           Algérien        Algériens         Algériene   \n",
       "4      Allemand           Allemand        Allemands         Allemande   \n",
       "\n",
       "  Féminin Pluriel  \n",
       "0        Afghanes  \n",
       "1  Sud-africaines  \n",
       "2      Albanaises  \n",
       "3      Algérienes  \n",
       "4      Allemandes  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(159, 5)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Liste des nationalités\n",
    "nationalites = [\n",
    "    \"Afghan\", \"Sud-africain\", \"Albanais\", \"Algérien\", \"Allemand\", \"Andorran\", \"Angolais\", \"Antiguais\",\n",
    "    \"Saoudien\", \"Argentin\", \"Arménien\", \"Australien\", \"Autrichien\", \"Azéri\", \"Zimbabwéen\", \"Égyptien\",\n",
    "    \"Émirien\", \"Équatorien\", \"Érythréen\", \"Espagnol\", \"Estonien\", \"Américain\", \"Éthiopien\", \"Fidjien\",\n",
    "    \"Finlandais\", \"Français\", \"Gabonais\", \"Gambien\", \"Géorgien\", \"Ghanéen\", \"Grec\", \"Grenadien\",\n",
    "    \"Guatémaltèque\", \"Guinéen\", \"Bissau-Guinéen\", \"Équatoguinéen\", \"Guyanais\", \"Haïtien\", \"Hondurien\",\n",
    "    \"Hongrois\", \"Marshallais\", \"Indien\", \"Indonésien\", \"Irakien\", \"Iranien\", \"Irlandais\", \"Islandais\",\n",
    "    \"Israélien\", \"Italien\", \"Jamaïcain\", \"Japonais\", \"Jordanien\", \"Kazakh\", \"Kényan\", \"Kirghize\",\n",
    "    \"Kiribatien\", \"Koweïtien\", \"Laotien\", \"Lesothan\", \"Letton\", \"Libanais\", \"Libérien\", \"Libyen\",\n",
    "    \"Liechtensteinois\", \"Lituanien\", \"Luxembourgeois\", \"Macédonien\", \"Malgache\", \"Malaisien\", \"Malawien\",\n",
    "    \"Maldivien\", \"Malien\", \"Maltais\", \"Marocain\", \"Mauricien\", \"Mauritanien\", \"Mexicain\", \"Micronésien\",\n",
    "    \"Moldave\", \"Monégasque\", \"Mongol\", \"Monténégrin\", \"Mozambicain\", \"Namibien\", \"Nauruan\", \"Népalais\",\n",
    "    \"Nicaraguayen\", \"Nigérien\", \"Nigérian\", \"Niuéen\", \"Norvégien\", \"Néo-zélandais\", \"Omanais\", \"Ougandais\",\n",
    "    \"Ouzbek\", \"Pakistanais\", \"Palauan\", \"Panaméen\", \"Papouan-Néo-Guinéen\", \"Paraguayen\", \"Néerlandais\",\n",
    "    \"Péruvien\", \"Philippin\", \"Polonais\", \"Portugais\", \"Qatarien\", \"Centrafricain\", \"Congolais\", \"Dominicain\",\n",
    "    \"Tchèque\", \"Roumain\", \"Britannique\", \"Russe\", \"Rwandais\", \"Saint-Christophien et Névicien\", \"Saint-Marinais\",\n",
    "    \"Saint-Vincentais et Grenadin\", \"Saint-Lucien\", \"Salomonais\", \"Salvadorien\", \"Samoan\", \"Santoméen\",\n",
    "    \"Sénégalais\", \"Serbe\", \"Seychellois\", \"Sierra-léonais\", \"Singapourien\", \"Slovaque\", \"Slovène\",\n",
    "    \"Somalien\", \"Soudanais\", \"Sud-Soudanais\", \"Sri-lankais\", \"Suédois\", \"Suisse\", \"Surinamien\", \"Syrien\",\n",
    "    \"Swazilandais\", \"Tadjik\", \"Tanzanien\", \"Tchadien\", \"Thaïlandais\", \"Est-timorais\", \"Togolais\", \"Tongan\",\n",
    "    \"Trinidadien\", \"Tunisien\", \"Turkmène\", \"Turc\", \"Tuvaluan\", \"Ukrainien\", \"Uruguayen\", \"Vanuatuan\",\n",
    "    \"Vaticanais\", \"Vénézuélien\", \"Vietnamien\", \"Yéménite\", \"Zambien\", \"Zimbabwéen\"\n",
    "]\n",
    "\n",
    "# Fonction pour générer les différentes formes des adjectifs de nationalité\n",
    "def generer_formes(nationalite):\n",
    "    masculin_singulier = nationalite\n",
    "    masculin_pluriel = nationalite + \"s\"\n",
    "    feminin_singulier = nationalite + \"e\"\n",
    "    feminin_pluriel = nationalite + \"es\"\n",
    "    return masculin_singulier, masculin_pluriel, feminin_singulier, feminin_pluriel\n",
    "\n",
    "df_nationalites = pd.DataFrame(nationalites, columns=[\"Nationalité\"])\n",
    "df_nationalites[\"Masculin Singulier\"], df_nationalites[\"Masculin Pluriel\"], df_nationalites[\"Féminin Singulier\"], df_nationalites[\"Féminin Pluriel\"] = zip(*df_nationalites[\"Nationalité\"].apply(generer_formes))\n",
    "\n",
    "display(df_nationalites.head())\n",
    "df_nationalites.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Stockage des nationalites\n",
    "#df_nationalites.to_csv('all_nationalities.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On va maintenant pouvoir extraire toutes les infos relatives aux nationalités :\n",
    "- en utilisant les dataframes précédents sur les pays et nationalités\n",
    "- en utilisant spacy qui permet en plus d'identifier des mots plus spécifiques mais révélateurs  \n",
    "    ex. religion (islam, christianisme, etc.), ethnie (arabes, etc.), etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import du module de Spacy pour des corpus français\n",
    "nlp = spacy.load(\"fr_core_news_sm\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "nationalities = pd.concat([df_nationalites[col].apply(lambda x : x.lower()) for col in df_nationalites.columns]).unique()\n",
    "\n",
    "# Fonction pour extraire les mots et les remplacer arbitrairement par \"PAMPLEMOUSSE\"\n",
    "def replace_nationality_entities(text):\n",
    "    doc = nlp(text)\n",
    "    replaced_text = []\n",
    "    replaced_words = []  # Nouvelle liste pour stocker les mots remplacés\n",
    "    for token in doc:\n",
    "        if token.ent_type_ == \"LOC\" or token.ent_type_ == \"GPE\" or str(token).lower() in nationalities:\n",
    "            replaced_text.append(\"PAMPLEMOUSSE\")\n",
    "            replaced_words.append(token.text)  # Ajouter le mot remplacé à la liste\n",
    "        else:\n",
    "            replaced_text.append(token.text)\n",
    "    return \" \".join(replaced_text), replaced_words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "for journal in tqdm(df.CJournal.unique()):\n",
    "    d = df.loc[df.CJournal == journal].copy()\n",
    "    d[[\"texte_processed\", \"replaced_words\"]] = d[\"Texte\"].apply(lambda x: pd.Series(replace_nationality_entities(x)))\n",
    "    \n",
    "    display(d.head())\n",
    "    #d.to_csv('data_cleaned/corpus_cleaned_PAMPLEMOUSSE_'+journal+'.csv',sep=\";\", index=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Assemblage final\n",
    "final = pd.concat([\n",
    "    pd.read_csv('data_cleaned/corpus_cleaned_PAMPLEMOUSSE_Figaro.csv',sep=\";\"),\n",
    "    pd.read_csv('data_cleaned/corpus_cleaned_PAMPLEMOUSSE_Monde.csv',sep=\";\"),\n",
    "    pd.read_csv('data_cleaned/corpus_cleaned_PAMPLEMOUSSE_Libération.csv',sep=\";\"),\n",
    "    pd.read_csv('data_cleaned/corpus_cleaned_PAMPLEMOUSSE_Croix.csv',sep=\";\"),\n",
    "    pd.read_csv('data_cleaned/corpus_cleaned_PAMPLEMOUSSE_Parisien.csv',sep=\";\"),\n",
    "    pd.read_csv('data_cleaned/corpus_cleaned_PAMPLEMOUSSE_Echos.csv',sep=\";\")\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Stockage final\n",
    "#final.to_csv('data_cleaned/corpus_cleaned_PAMPLEMOUSSE.csv',sep=\";\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# NLP humanitaire vs securitaire"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "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>Journal</th>\n",
       "      <th>Titre</th>\n",
       "      <th>Date</th>\n",
       "      <th>Auteur</th>\n",
       "      <th>Texte</th>\n",
       "      <th>is_humanitaire</th>\n",
       "      <th>is_securitaire</th>\n",
       "      <th>extrait_debut</th>\n",
       "      <th>extrait_fin</th>\n",
       "      <th>CJournal</th>\n",
       "      <th>texte_processed</th>\n",
       "      <th>replaced_words</th>\n",
       "      <th>annee</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>La Croix, no. 40303</td>\n",
       "      <td>VU D'ITALIE Matteo Renzi veut un budget « en e...</td>\n",
       "      <td>2015-10-01</td>\n",
       "      <td>DANCER Marie</td>\n",
       "      <td>La saison budgétaire bat son plein en Europe. ...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>me la France et les autres pays de la zone eur...</td>\n",
       "      <td>ns le même temps, l'Italie réclame, comme l'Au...</td>\n",
       "      <td>Croix</td>\n",
       "      <td>La saison budgétaire bat son plein en PAMPLEMO...</td>\n",
       "      <td>['Europe', 'la', 'France', \"l'\", 'Italie', 'Br...</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>La Croix, no. 40331</td>\n",
       "      <td>Ankara, partenaire incontournable des Européen...</td>\n",
       "      <td>2015-11-03</td>\n",
       "      <td>LE TALLEC Camille</td>\n",
       "      <td>BRUXELLES   De notre correspondante   Avec rés...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>e et sobriété, l'Union européenne a réagi aux ...</td>\n",
       "      <td>moment » , estimait de son côté le chef de l'...</td>\n",
       "      <td>Croix</td>\n",
       "      <td>BRUXELLES    De notre correspondante    Avec r...</td>\n",
       "      <td>['Turquie', 'Bruxelles', 'Ankara', 'Turquie', ...</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>La Croix, no. 40327</td>\n",
       "      <td>Jeunes, réfugiés et vulnérables  L'Autriche ve...</td>\n",
       "      <td>2015-10-29</td>\n",
       "      <td>VERDIER Marie</td>\n",
       "      <td>La longue route des migrants fluctue au gré de...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>ermetures de frontière. À mesure que la Hongri...</td>\n",
       "      <td>semigratoire est susceptible de  « provoquer u...</td>\n",
       "      <td>Croix</td>\n",
       "      <td>La longue route des migrants fluctue au gré de...</td>\n",
       "      <td>['Hongrie', 'Serbie', 'Croatie', 'Grèce', 'Oue...</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>La Croix, no. 40341</td>\n",
       "      <td>Éditorial   Ensemble</td>\n",
       "      <td>2015-11-16</td>\n",
       "      <td>GOUBERT Guillaume</td>\n",
       "      <td>Depuis vendredi, la menace terroriste en Franc...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>complètement changé de dimension. Ce que les s...</td>\n",
       "      <td>symbole serait que la France bénéficie de renf...</td>\n",
       "      <td>Croix</td>\n",
       "      <td>Depuis vendredi , la menace terroriste en PAMP...</td>\n",
       "      <td>['France', 'La', 'France', 'Sahel', 'Proche', ...</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>La Croix, no. 40529</td>\n",
       "      <td>Entretien « Réduire la distance entre les élit...</td>\n",
       "      <td>2016-06-28</td>\n",
       "      <td>PLOQUIN Jean-Christophe</td>\n",
       "      <td>Qu'est-ce qui explique le malaise d'une partie...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>s Européens vis-à-vis de la construction europ...</td>\n",
       "      <td>ui resterait ouverte à d'autres qui voudraient...</td>\n",
       "      <td>Croix</td>\n",
       "      <td>Qu' est -ce qui explique le malaise d' une par...</td>\n",
       "      <td>['Européens', 'Portugal', 'Espagne', 'Italie',...</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Journal                                              Titre  \\\n",
       "0   La Croix, no. 40303     VU D'ITALIE Matteo Renzi veut un budget « en e...   \n",
       "1   La Croix, no. 40331     Ankara, partenaire incontournable des Européen...   \n",
       "2   La Croix, no. 40327     Jeunes, réfugiés et vulnérables  L'Autriche ve...   \n",
       "3   La Croix, no. 40341                                  Éditorial   Ensemble   \n",
       "4   La Croix, no. 40529     Entretien « Réduire la distance entre les élit...   \n",
       "\n",
       "         Date                   Auteur  \\\n",
       "0  2015-10-01             DANCER Marie   \n",
       "1  2015-11-03        LE TALLEC Camille   \n",
       "2  2015-10-29            VERDIER Marie   \n",
       "3  2015-11-16        GOUBERT Guillaume   \n",
       "4  2016-06-28  PLOQUIN Jean-Christophe   \n",
       "\n",
       "                                               Texte  is_humanitaire  \\\n",
       "0  La saison budgétaire bat son plein en Europe. ...               0   \n",
       "1  BRUXELLES   De notre correspondante   Avec rés...               0   \n",
       "2  La longue route des migrants fluctue au gré de...               1   \n",
       "3  Depuis vendredi, la menace terroriste en Franc...               0   \n",
       "4  Qu'est-ce qui explique le malaise d'une partie...               0   \n",
       "\n",
       "   is_securitaire                                      extrait_debut  \\\n",
       "0               0  me la France et les autres pays de la zone eur...   \n",
       "1               0  e et sobriété, l'Union européenne a réagi aux ...   \n",
       "2               1  ermetures de frontière. À mesure que la Hongri...   \n",
       "3               1  complètement changé de dimension. Ce que les s...   \n",
       "4               1  s Européens vis-à-vis de la construction europ...   \n",
       "\n",
       "                                         extrait_fin CJournal  \\\n",
       "0  ns le même temps, l'Italie réclame, comme l'Au...    Croix   \n",
       "1   moment » , estimait de son côté le chef de l'...    Croix   \n",
       "2  semigratoire est susceptible de  « provoquer u...    Croix   \n",
       "3  symbole serait que la France bénéficie de renf...    Croix   \n",
       "4  ui resterait ouverte à d'autres qui voudraient...    Croix   \n",
       "\n",
       "                                     texte_processed  \\\n",
       "0  La saison budgétaire bat son plein en PAMPLEMO...   \n",
       "1  BRUXELLES    De notre correspondante    Avec r...   \n",
       "2  La longue route des migrants fluctue au gré de...   \n",
       "3  Depuis vendredi , la menace terroriste en PAMP...   \n",
       "4  Qu' est -ce qui explique le malaise d' une par...   \n",
       "\n",
       "                                      replaced_words  annee  \n",
       "0  ['Europe', 'la', 'France', \"l'\", 'Italie', 'Br...   2015  \n",
       "1  ['Turquie', 'Bruxelles', 'Ankara', 'Turquie', ...   2015  \n",
       "2  ['Hongrie', 'Serbie', 'Croatie', 'Grèce', 'Oue...   2015  \n",
       "3  ['France', 'La', 'France', 'Sahel', 'Proche', ...   2015  \n",
       "4  ['Européens', 'Portugal', 'Espagne', 'Italie',...   2016  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Données annotées\n",
    "gs_intial = pd.read_csv('./data_cleaned/gold_standard_annote.csv').drop([\"is_humanitaire_check\",\"is_securitaire_check\",\"disagreement\"], axis=1)\n",
    "gs_complement = pd.read_csv('./data_cleaned/gold_standard_annote_complement.csv')\n",
    "\n",
    "gs = pd.concat([gs_intial, gs_complement])\n",
    "gs.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Entrainement"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous avons testé différents modèles (Random, Forest, Logistic Regression, Naive Bayes) et plusieurs paramètres pour chacun. Les meilleurs résultats sont obtenus pour chaque catégorie par l'estimateur baysien avec une précision de 0.78 pour les articles humanitaires et 0.73 pour les articles sécuritaires."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " Résultats détaillés pour is_humanitaire\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.86      0.72      0.78        53\n",
      "           1       0.57      0.77      0.66        26\n",
      "\n",
      "    accuracy                           0.73        79\n",
      "   macro avg       0.72      0.74      0.72        79\n",
      "weighted avg       0.77      0.73      0.74        79\n",
      "\n",
      "\n",
      " Résultats détaillés pour is_securitaire\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.77      0.57      0.66        35\n",
      "           1       0.72      0.86      0.78        44\n",
      "\n",
      "    accuracy                           0.73        79\n",
      "   macro avg       0.74      0.72      0.72        79\n",
      "weighted avg       0.74      0.73      0.73        79\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Division des données en train et tes set\n",
    "X_train, X_test, y_train, y_test = train_test_split(gs['texte_processed'], gs[['is_humanitaire', 'is_securitaire']], test_size=0.2, random_state=42)\n",
    "\n",
    "clf_humanitaire = MultinomialNB(alpha=.3)\n",
    "clf_securitaire = MultinomialNB(alpha=.3)\n",
    "\n",
    "for category, classifieur in [\n",
    "    [\"is_humanitaire\",clf_humanitaire],\n",
    "    [\"is_securitaire\",clf_securitaire]\n",
    "] :\n",
    "    # Création d'un vecteur de comptage pour transformer les textes en matrices de fréquence de mots\n",
    "    vectorizer = CountVectorizer()\n",
    "\n",
    "    # Transformation des textes d'entraînement et de test\n",
    "    X_train_vect = vectorizer.fit_transform(X_train)\n",
    "    X_test_vect = vectorizer.transform(X_test)\n",
    "\n",
    "    # Entrainement et test de performance\n",
    "    classifieur.fit(X_train_vect, y_train[category])\n",
    "    y_pred_humanitaire =classifieur.predict(X_test_vect)\n",
    "    \n",
    "    print(f\"\\n Résultats détaillés pour {category}\")\n",
    "    print(classification_report(y_test[category], y_pred_humanitaire))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Application"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Journal</th>\n",
       "      <th>Titre</th>\n",
       "      <th>Date</th>\n",
       "      <th>Auteur</th>\n",
       "      <th>Texte</th>\n",
       "      <th>extrait_debut</th>\n",
       "      <th>extrait_fin</th>\n",
       "      <th>CJournal</th>\n",
       "      <th>texte_processed</th>\n",
       "      <th>replaced_words</th>\n",
       "      <th>Année</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Le Figaro, no. 23520</td>\n",
       "      <td>L'agenda caché de Moscou en Italie</td>\n",
       "      <td>2020-03-30</td>\n",
       "      <td>Lasserre, Isabelle</td>\n",
       "      <td>LES SYMBOLES comptent parfois plus que les fai...</td>\n",
       "      <td>Sur les camions militaires qui, en colonnes, ...</td>\n",
       "      <td>Deux semaines pour se ressaisir et s'unir ou p...</td>\n",
       "      <td>Figaro</td>\n",
       "      <td>LES SYMBOLES comptent parfois plus que les fai...</td>\n",
       "      <td>['Rome', 'Bergame', 'russe', 'italien', 'De', ...</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Le Figaro (site web)</td>\n",
       "      <td>Élargissement de l’Union européenne à l’heure ...</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>Tandonnet, Maxime</td>\n",
       "      <td>Fin observateur de la vie politique française ...</td>\n",
       "      <td>contributeur régulier du FigaroVox, Maxime Tan...</td>\n",
       "      <td>es yeux et de se préparer au changement d’un m...</td>\n",
       "      <td>Figaro</td>\n",
       "      <td>Fin observateur de la vie politique PAMPLEMOUS...</td>\n",
       "      <td>['française', 'États', 'l’', 'Macédoine', 'du'...</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Le Figaro (site web)</td>\n",
       "      <td>Coronavirus, un révélateur des faiblesses de l...</td>\n",
       "      <td>2020-03-12</td>\n",
       "      <td>Long, Didier, Laye, Sébastien</td>\n",
       "      <td>Didier Long est physicien. Sébastien Laye est ...</td>\n",
       "      <td>repreneur dans l’immobilier, chercheur associé...</td>\n",
       "      <td>faire un choix clair: l’idéologie rigoriste as...</td>\n",
       "      <td>Figaro</td>\n",
       "      <td>Didier Long est physicien . Sébastien Laye est...</td>\n",
       "      <td>['l’', 'Chine', 'l’', 'région', 'de', 'Wuhan',...</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Le Figaro, no. 23505</td>\n",
       "      <td>EN BREF</td>\n",
       "      <td>2020-03-12</td>\n",
       "      <td>Portes, Thierry</td>\n",
       "      <td>Collision entre un navire grec et un patrouill...</td>\n",
       "      <td>turc Les garde-côtes grecs ont déclaré qu'un ...</td>\n",
       "      <td>en Afghanistan, ouvrant la voie à des pourparl...</td>\n",
       "      <td>Figaro</td>\n",
       "      <td>Collision entre un navire PAMPLEMOUSSE et un p...</td>\n",
       "      <td>['grec', 'turc', 'grecs', 'turc', 'turc', \"l'\"...</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Le Figaro (site web)</td>\n",
       "      <td>Coralie Delaume: «Un choc externe pourrait pro...</td>\n",
       "      <td>2020-03-11</td>\n",
       "      <td>Imad, Joachim</td>\n",
       "      <td>Coralie Delaume est essayiste. Elle a notammen...</td>\n",
       "      <td>crit Le Couple franco-allemand n’existe pas (M...</td>\n",
       "      <td>on approche du la fin. De celle de l’Union eur...</td>\n",
       "      <td>Figaro</td>\n",
       "      <td>Coralie Delaume est essayiste . Elle a notamme...</td>\n",
       "      <td>['FIGAROVOX.-', 'italien', 'l’', 'Quelles', 'l...</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Journal  \\\n",
       "0   Le Figaro, no. 23520      \n",
       "1   Le Figaro (site web)      \n",
       "2   Le Figaro (site web)      \n",
       "3   Le Figaro, no. 23505      \n",
       "4   Le Figaro (site web)      \n",
       "\n",
       "                                               Titre        Date  \\\n",
       "0                 L'agenda caché de Moscou en Italie  2020-03-30   \n",
       "1  Élargissement de l’Union européenne à l’heure ...  2020-03-26   \n",
       "2  Coronavirus, un révélateur des faiblesses de l...  2020-03-12   \n",
       "3                                            EN BREF  2020-03-12   \n",
       "4  Coralie Delaume: «Un choc externe pourrait pro...  2020-03-11   \n",
       "\n",
       "                          Auteur  \\\n",
       "0             Lasserre, Isabelle   \n",
       "1              Tandonnet, Maxime   \n",
       "2  Long, Didier, Laye, Sébastien   \n",
       "3                Portes, Thierry   \n",
       "4                  Imad, Joachim   \n",
       "\n",
       "                                               Texte  \\\n",
       "0  LES SYMBOLES comptent parfois plus que les fai...   \n",
       "1  Fin observateur de la vie politique française ...   \n",
       "2  Didier Long est physicien. Sébastien Laye est ...   \n",
       "3  Collision entre un navire grec et un patrouill...   \n",
       "4  Coralie Delaume est essayiste. Elle a notammen...   \n",
       "\n",
       "                                       extrait_debut  \\\n",
       "0   Sur les camions militaires qui, en colonnes, ...   \n",
       "1  contributeur régulier du FigaroVox, Maxime Tan...   \n",
       "2  repreneur dans l’immobilier, chercheur associé...   \n",
       "3   turc Les garde-côtes grecs ont déclaré qu'un ...   \n",
       "4  crit Le Couple franco-allemand n’existe pas (M...   \n",
       "\n",
       "                                         extrait_fin CJournal  \\\n",
       "0  Deux semaines pour se ressaisir et s'unir ou p...   Figaro   \n",
       "1  es yeux et de se préparer au changement d’un m...   Figaro   \n",
       "2  faire un choix clair: l’idéologie rigoriste as...   Figaro   \n",
       "3  en Afghanistan, ouvrant la voie à des pourparl...   Figaro   \n",
       "4  on approche du la fin. De celle de l’Union eur...   Figaro   \n",
       "\n",
       "                                     texte_processed  \\\n",
       "0  LES SYMBOLES comptent parfois plus que les fai...   \n",
       "1  Fin observateur de la vie politique PAMPLEMOUS...   \n",
       "2  Didier Long est physicien . Sébastien Laye est...   \n",
       "3  Collision entre un navire PAMPLEMOUSSE et un p...   \n",
       "4  Coralie Delaume est essayiste . Elle a notamme...   \n",
       "\n",
       "                                      replaced_words Année  \n",
       "0  ['Rome', 'Bergame', 'russe', 'italien', 'De', ...  2020  \n",
       "1  ['française', 'États', 'l’', 'Macédoine', 'du'...  2020  \n",
       "2  ['l’', 'Chine', 'l’', 'région', 'de', 'Wuhan',...  2020  \n",
       "3  ['grec', 'turc', 'grecs', 'turc', 'turc', \"l'\"...  2020  \n",
       "4  ['FIGAROVOX.-', 'italien', 'l’', 'Quelles', 'l...  2020  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cleaned = pd.read_csv('./data_cleaned/corpus_cleaned_PAMPLEMOUSSE.csv',sep=\";\")\n",
    "df_cleaned[\"Année\"] = df.Date.apply(lambda x: x[:4])\n",
    "df_cleaned.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Prediction is_humanitaire\n",
      "Prediction is_securitaire\n",
      "Done\n"
     ]
    }
   ],
   "source": [
    "# Application\n",
    "print(\"Prediction is_humanitaire\")\n",
    "df_cleaned[\"is_humanitaire_pred\"] = clf_humanitaire.predict(vectorizer.transform(df_cleaned[\"texte_processed\"]))\n",
    "print(\"Prediction is_securitaire\")\n",
    "df_cleaned[\"is_securitaire_pred\"] = clf_securitaire.predict(vectorizer.transform(df_cleaned[\"texte_processed\"]))\n",
    "print(\"Done\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Stockage\n",
    "#df_cleaned.to_csv('./data_cleaned/corpus_cleaned_PAMPLEMOUSSE_predicted.csv',sep=\";\",index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "                                         CJournal\n",
       "is_humanitaire_pred is_securitaire_pred          \n",
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       "      <th>Texte</th>\n",
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       "    <tr>\n",
       "      <th>CJournal</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Croix</th>\n",
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       "      <th rowspan=\"4\" valign=\"top\">Figaro</th>\n",
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       "      <th rowspan=\"4\" valign=\"top\">Libération</th>\n",
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       "      <th rowspan=\"4\" valign=\"top\">Monde</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>0</th>\n",
       "      <td>208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Parisien</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">0</th>\n",
       "      <th>0</th>\n",
       "      <td>124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">1</th>\n",
       "      <th>0</th>\n",
       "      <td>142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>282</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    Texte\n",
       "CJournal   is_humanitaire_pred is_securitaire_pred       \n",
       "Croix      0                   0                      131\n",
       "                               1                      191\n",
       "           1                   0                      138\n",
       "                               1                      337\n",
       "Echos      0                   0                      342\n",
       "                               1                      462\n",
       "           1                   0                       73\n",
       "                               1                      387\n",
       "Figaro     0                   0                      715\n",
       "                               1                      999\n",
       "           1                   0                      247\n",
       "                               1                     1069\n",
       "Libération 0                   0                      220\n",
       "                               1                      205\n",
       "           1                   0                      109\n",
       "                               1                      372\n",
       "Monde      0                   0                      558\n",
       "                               1                      751\n",
       "           1                   0                      208\n",
       "                               1                      715\n",
       "Parisien   0                   0                      124\n",
       "                               1                      141\n",
       "           1                   0                      142\n",
       "                               1                      282"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Stat desc\n",
    "display(df_cleaned[[\"CJournal\",\"is_humanitaire_pred\",\"is_securitaire_pred\"]].groupby([\"is_humanitaire_pred\",\"is_securitaire_pred\"]).count())\n",
    "       \n",
    "display(df_cleaned[[\"CJournal\",\"Texte\",\"is_humanitaire_pred\",\"is_securitaire_pred\"]].groupby([\"CJournal\",\"is_humanitaire_pred\",\"is_securitaire_pred\"]).count())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Proportion d'articles classés comme humanitaires et sécuritaires :\n",
      "Humanitaires : 45.74%\n",
      "Sécuritaires : 66.28%\n",
      "\n",
      "Analyse par journaux :\n"
     ]
    },
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>is_humanitaire_pred</th>\n",
       "      <th>is_securitaire_pred</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CJournal</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Croix</th>\n",
       "      <td>0.595985</td>\n",
       "      <td>0.662484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Echos</th>\n",
       "      <td>0.361600</td>\n",
       "      <td>0.671200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Figaro</th>\n",
       "      <td>0.434323</td>\n",
       "      <td>0.682508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Libération</th>\n",
       "      <td>0.531532</td>\n",
       "      <td>0.634009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monde</th>\n",
       "      <td>0.413530</td>\n",
       "      <td>0.656810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parisien</th>\n",
       "      <td>0.615385</td>\n",
       "      <td>0.613933</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            is_humanitaire_pred  is_securitaire_pred\n",
       "CJournal                                            \n",
       "Croix                  0.595985             0.662484\n",
       "Echos                  0.361600             0.671200\n",
       "Figaro                 0.434323             0.682508\n",
       "Libération             0.531532             0.634009\n",
       "Monde                  0.413530             0.656810\n",
       "Parisien               0.615385             0.613933"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Analyse par années :\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\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>is_humanitaire_pred</th>\n",
       "      <th>is_securitaire_pred</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Année</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>0.516690</td>\n",
       "      <td>0.727315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <td>0.392379</td>\n",
       "      <td>0.677554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <td>0.369990</td>\n",
       "      <td>0.568345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>0.411685</td>\n",
       "      <td>0.658288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>0.415842</td>\n",
       "      <td>0.582921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020</th>\n",
       "      <td>0.607798</td>\n",
       "      <td>0.651376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.679012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022</th>\n",
       "      <td>0.653061</td>\n",
       "      <td>0.586735</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       is_humanitaire_pred  is_securitaire_pred\n",
       "Année                                          \n",
       "2015              0.516690             0.727315\n",
       "2016              0.392379             0.677554\n",
       "2017              0.369990             0.568345\n",
       "2018              0.411685             0.658288\n",
       "2019              0.415842             0.582921\n",
       "2020              0.607798             0.651376\n",
       "2021              0.666667             0.679012\n",
       "2022              0.653061             0.586735"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Analyser la proportion d'articles de chaque type\n",
    "print(\"Proportion d'articles classés comme humanitaires et sécuritaires :\")\n",
    "prop_humanitaire = df_cleaned['is_humanitaire_pred'].mean()\n",
    "prop_securitaire = df_cleaned['is_securitaire_pred'].mean()\n",
    "print(f\"Humanitaires : {round(prop_humanitaire * 100,2)}%\")\n",
    "print(f\"Sécuritaires : {round(prop_securitaire * 100,2)}%\")\n",
    "\n",
    "# Segmentation par journaux\n",
    "print(\"\\nAnalyse par journaux :\")\n",
    "grouped_by_journal = df_cleaned.loc[df_cleaned[\"Année\"]>\"2014\"].groupby('CJournal')\n",
    "journal_analysis = grouped_by_journal.agg({\n",
    "    'is_humanitaire_pred': 'mean',\n",
    "    'is_securitaire_pred': 'mean'\n",
    "})\n",
    "display(journal_analysis)\n",
    "\n",
    "# Segmentation par années\n",
    "print(\"\\nAnalyse par années :\")\n",
    "df_cleaned[\"Année\"] = df_cleaned[\"Date\"].apply(lambda x: x[:4])\n",
    "grouped_by_year = df_cleaned.loc[df_cleaned[\"Année\"]>\"2014\"].groupby('Année')\n",
    "year_analysis = grouped_by_year.agg({\n",
    "    'is_humanitaire_pred': 'mean',\n",
    "    'is_securitaire_pred': 'mean'\n",
    "})\n",
    "display(year_analysis)\n",
    "\n",
    "# Visualisation des proportions d'articles classés humanitaires et sécuritaires\n",
    "plt.figure(figsize=(15, 6))\n",
    "\n",
    "plt.subplot(1, 2, 1)\n",
    "data_formated = pd.melt(journal_analysis.reset_index().rename(columns={\"is_humanitaire_pred\":\"Humanitaire\",\"is_securitaire_pred\":\"Securitaire\"}), id_vars=['CJournal'], var_name='categories', value_name='proportion').rename(columns={\"is_humanitaire_pred\":\"Humanitaire\",\"is_securitaire_pred\":\"Securitaire\"})\n",
    "sns.barplot(data_formated, x=\"CJournal\", y=\"proportion\", hue=\"categories\")\n",
    "plt.title(\"Proportions par journaux\")\n",
    "plt.xlabel(\"Journal\")\n",
    "plt.ylabel(\"Proportion\")\n",
    "plt.legend(bbox_to_anchor=(0.001, 1.05), loc='upper right')\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "sns.lineplot(x=year_analysis.index, y='is_humanitaire_pred', data=year_analysis, label='Humanitaire', marker='o')\n",
    "sns.lineplot(x=year_analysis.index, y='is_securitaire_pred', data=year_analysis, label='Sécuritaire', marker='o')\n",
    "plt.title(\"Proportions par années\")\n",
    "plt.xlabel(\"Année\")\n",
    "plt.ylabel(\"Proportion\")\n",
    "plt.legend(bbox_to_anchor=(1.001, 1.05), loc='upper left')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Stockage\n",
    "#journal_analysis.to_csv('./data_cleaned/resultats_classification_journal.csv',sep=\";\",index=False)\n",
    "#year_analysis.to_csv('./data_cleaned/resultats_classification_annee.csv',sep=\";\",index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analyse des nationalités "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dans cette partie on analyse les nationalités les plus présentes par type d'article, humanitaire ou sécuritaire.\n",
    "Les résultats ne sont malheuresement pas particulièrement intéressant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# On passe toutes les valeurs en minuscule\n",
    "df_nationalites = df_nationalites.applymap(lambda x: x.lower() if isinstance(x, str) else x)\n",
    "df_pays = df_pays.applymap(lambda x: x.lower() if isinstance(x, str) else x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████| 8918/8918 [06:31<00:00, 22.78it/s]\n"
     ]
    }
   ],
   "source": [
    "# On teste toutes les nationalités possibles et leurs extansions\n",
    "df_cleaned['replaced_words'] = df_cleaned.replaced_words.apply(lambda x: ast.literal_eval(x) if isinstance(x, str) else x)\n",
    "word_to_eliminate = [\"l'\",\"la\",\"de\",\"-\",\"l'\",\"l'\",\"l’\",\"la\",\"le\"]\n",
    "L = []\n",
    "for replaced_words in tqdm(df_cleaned.replaced_words) :\n",
    "    l = []\n",
    "    for word in replaced_words :\n",
    "        word = word.lower()\n",
    "        if word in df_nationalites[\"Masculin Singulier\"].unique() :\n",
    "            word = df_nationalites.loc[df_nationalites[\"Masculin Singulier\"]==word,\"Nationalité\"].iloc[0]\n",
    "        elif word in df_nationalites[\"Masculin Pluriel\"].unique() :\n",
    "            word = df_nationalites.loc[df_nationalites[\"Masculin Pluriel\"]==word,\"Nationalité\"].iloc[0]\n",
    "        elif word in df_nationalites[\"Féminin Singulier\"].unique() :\n",
    "            word = df_nationalites.loc[df_nationalites[\"Féminin Singulier\"]==word,\"Nationalité\"].iloc[0]\n",
    "        elif word in df_nationalites[\"Féminin Pluriel\"].unique() :\n",
    "            word = df_nationalites.loc[df_nationalites[\"Féminin Pluriel\"]==word,\"Nationalité\"].iloc[0]\n",
    "        else :\n",
    "            if word in df_pays[\"Capitale\"].unique() :\n",
    "                word = df_pays.loc[df_pays[\"Capitale\"]==word,\"Nationalité\"].iloc[0]\n",
    "            if word in df_pays[\"Pays\"].unique() :\n",
    "                word = df_pays.loc[df_pays[\"Pays\"]==word,\"Nationalité\"].iloc[0]\n",
    "\n",
    "        l.append(word)\n",
    "    \n",
    "    L.append(l)       "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "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>Unnamed: 0</th>\n",
       "      <th>Journal</th>\n",
       "      <th>Titre</th>\n",
       "      <th>Date</th>\n",
       "      <th>Auteur</th>\n",
       "      <th>Texte</th>\n",
       "      <th>extrait_debut</th>\n",
       "      <th>extrait_fin</th>\n",
       "      <th>CJournal</th>\n",
       "      <th>texte_processed</th>\n",
       "      <th>replaced_words</th>\n",
       "      <th>Année</th>\n",
       "      <th>replaced_words_cleaned</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Le Figaro, no. 23520</td>\n",
       "      <td>L'agenda caché de Moscou en Italie</td>\n",
       "      <td>2020-03-30</td>\n",
       "      <td>Lasserre, Isabelle</td>\n",
       "      <td>LES SYMBOLES comptent parfois plus que les fai...</td>\n",
       "      <td>Sur les camions militaires qui, en colonnes, ...</td>\n",
       "      <td>Deux semaines pour se ressaisir et s'unir ou p...</td>\n",
       "      <td>Figaro</td>\n",
       "      <td>LES SYMBOLES comptent parfois plus que les fai...</td>\n",
       "      <td>[Rome, Bergame, russe, italien, De, Russie, Ch...</td>\n",
       "      <td>2020</td>\n",
       "      <td>[italien, bergame, russe, italien, de, russe, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Le Figaro (site web)</td>\n",
       "      <td>Élargissement de l’Union européenne à l’heure ...</td>\n",
       "      <td>2020-03-26</td>\n",
       "      <td>Tandonnet, Maxime</td>\n",
       "      <td>Fin observateur de la vie politique française ...</td>\n",
       "      <td>contributeur régulier du FigaroVox, Maxime Tan...</td>\n",
       "      <td>es yeux et de se préparer au changement d’un m...</td>\n",
       "      <td>Figaro</td>\n",
       "      <td>Fin observateur de la vie politique PAMPLEMOUS...</td>\n",
       "      <td>[française, États, l’, Macédoine, du, Nord, Ba...</td>\n",
       "      <td>2020</td>\n",
       "      <td>[français, états, l’, macédoine, du, nord, bal...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Le Figaro (site web)</td>\n",
       "      <td>Coronavirus, un révélateur des faiblesses de l...</td>\n",
       "      <td>2020-03-12</td>\n",
       "      <td>Long, Didier, Laye, Sébastien</td>\n",
       "      <td>Didier Long est physicien. Sébastien Laye est ...</td>\n",
       "      <td>repreneur dans l’immobilier, chercheur associé...</td>\n",
       "      <td>faire un choix clair: l’idéologie rigoriste as...</td>\n",
       "      <td>Figaro</td>\n",
       "      <td>Didier Long est physicien . Sébastien Laye est...</td>\n",
       "      <td>[l’, Chine, l’, région, de, Wuhan, l’, l’, Eur...</td>\n",
       "      <td>2020</td>\n",
       "      <td>[l’, chine, l’, région, de, wuhan, l’, l’, eur...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Le Figaro, no. 23505</td>\n",
       "      <td>EN BREF</td>\n",
       "      <td>2020-03-12</td>\n",
       "      <td>Portes, Thierry</td>\n",
       "      <td>Collision entre un navire grec et un patrouill...</td>\n",
       "      <td>turc Les garde-côtes grecs ont déclaré qu'un ...</td>\n",
       "      <td>en Afghanistan, ouvrant la voie à des pourparl...</td>\n",
       "      <td>Figaro</td>\n",
       "      <td>Collision entre un navire PAMPLEMOUSSE et un p...</td>\n",
       "      <td>[grec, turc, grecs, turc, turc, l', Europe, ru...</td>\n",
       "      <td>2020</td>\n",
       "      <td>[grec, turc, grec, turc, turc, l', europe, rus...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Le Figaro (site web)</td>\n",
       "      <td>Coralie Delaume: «Un choc externe pourrait pro...</td>\n",
       "      <td>2020-03-11</td>\n",
       "      <td>Imad, Joachim</td>\n",
       "      <td>Coralie Delaume est essayiste. Elle a notammen...</td>\n",
       "      <td>crit Le Couple franco-allemand n’existe pas (M...</td>\n",
       "      <td>on approche du la fin. De celle de l’Union eur...</td>\n",
       "      <td>Figaro</td>\n",
       "      <td>Coralie Delaume est essayiste . Elle a notamme...</td>\n",
       "      <td>[FIGAROVOX.-, italien, l’, Quelles, l’, l’, l’...</td>\n",
       "      <td>2020</td>\n",
       "      <td>[figarovox.-, italien, l’, quelles, l’, l’, l’...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0                   Journal  \\\n",
       "0           0   Le Figaro, no. 23520      \n",
       "1           1   Le Figaro (site web)      \n",
       "2           2   Le Figaro (site web)      \n",
       "3           3   Le Figaro, no. 23505      \n",
       "4           4   Le Figaro (site web)      \n",
       "\n",
       "                                               Titre        Date  \\\n",
       "0                 L'agenda caché de Moscou en Italie  2020-03-30   \n",
       "1  Élargissement de l’Union européenne à l’heure ...  2020-03-26   \n",
       "2  Coronavirus, un révélateur des faiblesses de l...  2020-03-12   \n",
       "3                                            EN BREF  2020-03-12   \n",
       "4  Coralie Delaume: «Un choc externe pourrait pro...  2020-03-11   \n",
       "\n",
       "                          Auteur  \\\n",
       "0             Lasserre, Isabelle   \n",
       "1              Tandonnet, Maxime   \n",
       "2  Long, Didier, Laye, Sébastien   \n",
       "3                Portes, Thierry   \n",
       "4                  Imad, Joachim   \n",
       "\n",
       "                                               Texte  \\\n",
       "0  LES SYMBOLES comptent parfois plus que les fai...   \n",
       "1  Fin observateur de la vie politique française ...   \n",
       "2  Didier Long est physicien. Sébastien Laye est ...   \n",
       "3  Collision entre un navire grec et un patrouill...   \n",
       "4  Coralie Delaume est essayiste. Elle a notammen...   \n",
       "\n",
       "                                       extrait_debut  \\\n",
       "0   Sur les camions militaires qui, en colonnes, ...   \n",
       "1  contributeur régulier du FigaroVox, Maxime Tan...   \n",
       "2  repreneur dans l’immobilier, chercheur associé...   \n",
       "3   turc Les garde-côtes grecs ont déclaré qu'un ...   \n",
       "4  crit Le Couple franco-allemand n’existe pas (M...   \n",
       "\n",
       "                                         extrait_fin CJournal  \\\n",
       "0  Deux semaines pour se ressaisir et s'unir ou p...   Figaro   \n",
       "1  es yeux et de se préparer au changement d’un m...   Figaro   \n",
       "2  faire un choix clair: l’idéologie rigoriste as...   Figaro   \n",
       "3  en Afghanistan, ouvrant la voie à des pourparl...   Figaro   \n",
       "4  on approche du la fin. De celle de l’Union eur...   Figaro   \n",
       "\n",
       "                                     texte_processed  \\\n",
       "0  LES SYMBOLES comptent parfois plus que les fai...   \n",
       "1  Fin observateur de la vie politique PAMPLEMOUS...   \n",
       "2  Didier Long est physicien . Sébastien Laye est...   \n",
       "3  Collision entre un navire PAMPLEMOUSSE et un p...   \n",
       "4  Coralie Delaume est essayiste . Elle a notamme...   \n",
       "\n",
       "                                      replaced_words  Année  \\\n",
       "0  [Rome, Bergame, russe, italien, De, Russie, Ch...   2020   \n",
       "1  [française, États, l’, Macédoine, du, Nord, Ba...   2020   \n",
       "2  [l’, Chine, l’, région, de, Wuhan, l’, l’, Eur...   2020   \n",
       "3  [grec, turc, grecs, turc, turc, l', Europe, ru...   2020   \n",
       "4  [FIGAROVOX.-, italien, l’, Quelles, l’, l’, l’...   2020   \n",
       "\n",
       "                              replaced_words_cleaned  \n",
       "0  [italien, bergame, russe, italien, de, russe, ...  \n",
       "1  [français, états, l’, macédoine, du, nord, bal...  \n",
       "2  [l’, chine, l’, région, de, wuhan, l’, l’, eur...  \n",
       "3  [grec, turc, grec, turc, turc, l', europe, rus...  \n",
       "4  [figarovox.-, italien, l’, quelles, l’, l’, l’...  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_cleaned[\"replaced_words_cleaned\"] = pd.Series(L)\n",
    "df_cleaned.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_cleaned=pd.read_csv('./data_cleaned/df_cleaned_v2.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Traitement de Figaro\n",
      "2020\n",
      "Process nombre d'article\n",
      "2019\n",
      "Process nombre d'article\n",
      "2018\n",
      "Process nombre d'article\n",
      "2017\n",
      "Process nombre d'article\n",
      "2016\n",
      "Process nombre d'article\n",
      "2015\n",
      "Process nombre d'article\n",
      "2014\n",
      "Process nombre d'article\n",
      "2013\n",
      "Process nombre d'article\n",
      "2011\n",
      "Process nombre d'article\n",
      "2022\n",
      "Process nombre d'article\n",
      "2021\n",
      "Process nombre d'article\n",
      "Traitement de Monde\n",
      "2020\n",
      "Process nombre d'article\n",
      "2019\n",
      "Process nombre d'article\n",
      "2018\n",
      "Process nombre d'article\n",
      "2017\n",
      "Process nombre d'article\n",
      "2016\n",
      "Process nombre d'article\n",
      "2015\n",
      "Process nombre d'article\n",
      "2014\n",
      "Process nombre d'article\n",
      "2012\n",
      "Process nombre d'article\n",
      "2010\n",
      "Process nombre d'article\n",
      "2009\n",
      "Process nombre d'article\n",
      "2022\n",
      "Process nombre d'article\n",
      "2021\n",
      "Process nombre d'article\n",
      "Traitement de Libération\n",
      "2020\n",
      "Process nombre d'article\n",
      "2019\n",
      "Process nombre d'article\n",
      "2018\n",
      "Process nombre d'article\n",
      "2017\n",
      "Process nombre d'article\n",
      "2016\n",
      "Process nombre d'article\n",
      "2015\n",
      "Process nombre d'article\n",
      "2014\n",
      "Process nombre d'article\n",
      "2013\n",
      "Process nombre d'article\n",
      "2011\n",
      "Process nombre d'article\n",
      "2010\n",
      "Process nombre d'article\n",
      "2022\n",
      "Process nombre d'article\n",
      "2021\n",
      "Process nombre d'article\n",
      "Traitement de Croix\n",
      "2020\n",
      "Process nombre d'article\n",
      "2019\n",
      "Process nombre d'article\n",
      "2018\n",
      "Process nombre d'article\n",
      "2017\n",
      "Process nombre d'article\n",
      "2016\n",
      "Process nombre d'article\n",
      "2015\n",
      "Process nombre d'article\n",
      "2011\n",
      "Process nombre d'article\n",
      "2009\n",
      "Process nombre d'article\n",
      "2013\n",
      "Process nombre d'article\n",
      "2022\n",
      "Process nombre d'article\n",
      "2021\n",
      "Process nombre d'article\n",
      "Traitement de Parisien\n",
      "2020\n",
      "Process nombre d'article\n",
      "2019\n",
      "Process nombre d'article\n",
      "2018\n",
      "Process nombre d'article\n",
      "2017\n",
      "Process nombre d'article\n",
      "2016\n",
      "Process nombre d'article\n",
      "2015\n",
      "Process nombre d'article\n",
      "2014\n",
      "Process nombre d'article\n",
      "2022\n",
      "Process nombre d'article\n",
      "2021\n",
      "Process nombre d'article\n",
      "Traitement de Echos\n",
      "2020\n",
      "Process nombre d'article\n",
      "2019\n",
      "Process nombre d'article\n",
      "2018\n",
      "Process nombre d'article\n",
      "2017\n",
      "Process nombre d'article\n",
      "2016\n",
      "Process nombre d'article\n",
      "2015\n",
      "Process nombre d'article\n",
      "2022\n",
      "Process nombre d'article\n",
      "2021\n",
      "Process nombre d'article\n"
     ]
    }
   ],
   "source": [
    "stat = pd.DataFrame()\n",
    "\n",
    "for journal in df_cleaned[\"CJournal\"].unique() :\n",
    "    print(f\"Traitement de {journal}\")\n",
    "    df = df_cleaned.loc[df_cleaned.CJournal==journal]\n",
    "    \n",
    "    for year in df[\"Année\"].unique():\n",
    "        print(year)\n",
    "        data = df.loc[df[\"Année\"]==year]\n",
    "        \n",
    "        ##############################\n",
    "        ### Metriques sur les mots ###\n",
    "        ##############################\n",
    "        \n",
    "        # Dictionnaires pour récupérer les métriques\n",
    "        dict_humanitaire = {}\n",
    "        dict_securitaire = {}\n",
    "        \n",
    "        ### Boucles sur les mots qu'on a extrait des artciles\n",
    "        # Cas humanitaire\n",
    "        for replaced_words in np.array(data.loc[data[\"is_humanitaire_pred\"]==1, \"replaced_words_cleaned\"]) :\n",
    "            for word in replaced_words :\n",
    "                word = word.lower()\n",
    "                # On compte dans les dictionnaires\n",
    "                if word not in dict_humanitaire.keys():\n",
    "                    dict_humanitaire[word] = 1\n",
    "                else :\n",
    "                    dict_humanitaire[word] += 1\n",
    "        \n",
    "        # Cas sécuritaire\n",
    "        for replaced_words in np.array(data.loc[data[\"is_securitaire_pred\"]==1, \"replaced_words_cleaned\"]) :\n",
    "            for word in replaced_words :\n",
    "                word = word.lower()\n",
    "                # On compte dans les dictionnaires        \n",
    "                if word not in dict_securitaire.keys():\n",
    "                    dict_securitaire[word] = 1\n",
    "                else :\n",
    "                    dict_securitaire[word] += 1\n",
    "\n",
    "        # Convertion les dictionnaires en dataframes\n",
    "        df_huma = pd.DataFrame(list(dict_humanitaire.items()), columns=['mots', 'occurence_huma'])\n",
    "        df_secu = pd.DataFrame(list(dict_securitaire.items()), columns=['mots', 'occurence_secu'])\n",
    "\n",
    "        # Fusion les deux dataframes sur la colonne \"mots\"\n",
    "        result_df = pd.merge(df_huma, df_secu, on='mots', how='outer')\n",
    "\n",
    "        ##################################\n",
    "        ### Metriques sur les articles ###\n",
    "        ##################################\n",
    "        \n",
    "        print(\"Process nombre d'article\")\n",
    "        dict_humanitaire = {}\n",
    "        dict_securitaire = {}\n",
    "\n",
    "        for word in result_df.mots :            \n",
    "            for replaced_words in data.loc[data[\"is_humanitaire_pred\"]==1, \"replaced_words_cleaned\"] :\n",
    "                word = word.lower()\n",
    "                if word in replaced_words :  \n",
    "                    if word not in dict_humanitaire.keys():\n",
    "                        dict_humanitaire[word] = 1\n",
    "                    else :\n",
    "                        dict_humanitaire[word] += 1\n",
    "\n",
    "            for replaced_words in data.loc[data[\"is_securitaire_pred\"]==1, \"replaced_words_cleaned\"] :\n",
    "                word = word.lower()\n",
    "                if word in replaced_words : \n",
    "                    if word not in dict_securitaire.keys():\n",
    "                        dict_securitaire[word] = 1\n",
    "                    else :\n",
    "                        dict_securitaire[word] += 1\n",
    "    \n",
    "        df_huma = pd.DataFrame(list(dict_humanitaire.items()), columns=['mots', 'articles_huma'])\n",
    "        df_secu = pd.DataFrame(list(dict_securitaire.items()), columns=['mots', 'articles_secu'])\n",
    "\n",
    "        result_df = pd.merge(result_df, df_huma, on='mots', how='left')\n",
    "        result_df = pd.merge(result_df, df_secu, on='mots', how='left')\n",
    "\n",
    "        # Remplacement des valeurs manquantes par 0\n",
    "        result_df = result_df.fillna(0)\n",
    "        result_df.insert(0,\"journal\",journal)\n",
    "        result_df.insert(1,\"annees\",year)\n",
    "        \n",
    "        stat = pd.concat([\n",
    "            stat,\n",
    "            result_df\n",
    "        ])\n",
    "    \n",
    "            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Stockage \n",
    "#stat.to_csv('./data_cleaned/stat_nat_huma_secu.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figaro Humanitaire\n"
     ]
    },
    {
     "data": {
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       "      <th></th>\n",
       "      <th>journal</th>\n",
       "      <th>annees</th>\n",
       "      <th>mots</th>\n",
       "      <th>occurence_huma</th>\n",
       "      <th>occurence_secu</th>\n",
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       "      <td>1182.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>292.0</td>\n",
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       "      <th>168</th>\n",
       "      <td>Figaro</td>\n",
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       "      <td>114.0</td>\n",
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       "      <td>576.0</td>\n",
       "      <td>961.0</td>\n",
       "      <td>232.0</td>\n",
       "      <td>331.0</td>\n",
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       "      <th>0</th>\n",
       "      <td>Figaro</td>\n",
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       "      <td>1277.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>305.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Figaro</td>\n",
       "      <td>2015</td>\n",
       "      <td>français</td>\n",
       "      <td>550.0</td>\n",
       "      <td>1024.0</td>\n",
       "      <td>172.0</td>\n",
       "      <td>278.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    journal  annees      mots  occurence_huma  occurence_secu  articles_huma  \\\n",
       "0    Figaro    2015  allemand           699.0          1182.0          196.0   \n",
       "168  Figaro    2016      turc           648.0          1275.0          114.0   \n",
       "19   Figaro    2015    europe           576.0           961.0          232.0   \n",
       "0    Figaro    2016  français           574.0          1277.0          162.0   \n",
       "12   Figaro    2015  français           550.0          1024.0          172.0   \n",
       "\n",
       "     articles_secu  \n",
       "0            292.0  \n",
       "168          231.0  \n",
       "19           331.0  \n",
       "0            305.0  \n",
       "12           278.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Figaro Securitaire\n"
     ]
    },
    {
     "data": {
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       "      <th>168</th>\n",
       "      <td>Figaro</td>\n",
       "      <td>2016</td>\n",
       "      <td>turc</td>\n",
       "      <td>648.0</td>\n",
       "      <td>1275.0</td>\n",
       "      <td>114.0</td>\n",
       "      <td>231.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Figaro</td>\n",
       "      <td>2016</td>\n",
       "      <td>europe</td>\n",
       "      <td>446.0</td>\n",
       "      <td>1236.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>361.0</td>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Figaro</td>\n",
       "      <td>2015</td>\n",
       "      <td>allemand</td>\n",
       "      <td>699.0</td>\n",
       "      <td>1182.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>292.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "70   Figaro    2016  allemand           386.0          1399.0          118.0   \n",
       "0    Figaro    2016  français           574.0          1277.0          162.0   \n",
       "168  Figaro    2016      turc           648.0          1275.0          114.0   \n",
       "17   Figaro    2016    europe           446.0          1236.0          181.0   \n",
       "0    Figaro    2015  allemand           699.0          1182.0          196.0   \n",
       "\n",
       "     articles_secu  \n",
       "70           318.0  \n",
       "0            305.0  \n",
       "168          231.0  \n",
       "17           361.0  \n",
       "0            292.0  "
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       "4     Monde    2016  français           609.0          1178.0          162.0   \n",
       "206   Monde    2016      grec           593.0           773.0          123.0   \n",
       "21    Monde    2015  allemand           566.0          1060.0          155.0   \n",
       "54    Monde    2016      turc           560.0           979.0          134.0   \n",
       "\n",
       "     articles_secu  \n",
       "34           262.0  \n",
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       "4    Monde    2016  français           609.0          1178.0          162.0   \n",
       "34   Monde    2015  français           664.0          1142.0          159.0   \n",
       "16   Monde    2016  allemand           370.0          1137.0          132.0   \n",
       "21   Monde    2015  allemand           566.0          1060.0          155.0   \n",
       "\n",
       "    articles_secu  \n",
       "1           333.0  \n",
       "4           307.0  \n",
       "34          262.0  \n",
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       "      <td>Libération</td>\n",
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       "      <td>58.0</td>\n",
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       "      <th>33</th>\n",
       "      <td>Libération</td>\n",
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       "      <td>Libération</td>\n",
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       "      <td>194.0</td>\n",
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       "      <td>54.0</td>\n",
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       "       journal  annees      mots  occurence_huma  occurence_secu  \\\n",
       "46  Libération    2018  français           347.0           384.0   \n",
       "38  Libération    2018   italien           287.0           419.0   \n",
       "12  Libération    2015  français           273.0           358.0   \n",
       "33  Libération    2016      grec           262.0           295.0   \n",
       "3   Libération    2016    europe           194.0           279.0   \n",
       "\n",
       "    articles_huma  articles_secu  \n",
       "46           71.0           93.0  \n",
       "38           53.0           81.0  \n",
       "12           58.0           79.0  \n",
       "33           28.0           39.0  \n",
       "3            54.0           71.0  "
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       "      <td>133.0</td>\n",
       "      <td>307.0</td>\n",
       "      <td>40.0</td>\n",
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       "       journal  annees      mots  occurence_huma  occurence_secu  \\\n",
       "38  Libération    2018   italien           287.0           419.0   \n",
       "46  Libération    2018  français           347.0           384.0   \n",
       "12  Libération    2015  français           273.0           358.0   \n",
       "32  Libération    2018        l'           188.0           309.0   \n",
       "49  Libération    2018  allemand           133.0           307.0   \n",
       "\n",
       "    articles_huma  articles_secu  \n",
       "38           53.0           81.0  \n",
       "46           71.0           93.0  \n",
       "12           58.0           79.0  \n",
       "32           65.0           99.0  \n",
       "49           40.0           73.0  "
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       "      <td>Croix</td>\n",
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       "      <td>Croix</td>\n",
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       "      <th>33</th>\n",
       "      <td>Croix</td>\n",
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       "      <td>208.0</td>\n",
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       "      <td>72.0</td>\n",
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       "   journal  annees      mots  occurence_huma  occurence_secu  articles_huma  \\\n",
       "17   Croix    2018  français           363.0           342.0           66.0   \n",
       "25   Croix    2018   italien           196.0           235.0           48.0   \n",
       "0    Croix    2020      turc           190.0           188.0           26.0   \n",
       "4    Croix    2020      grec           173.0           170.0           28.0   \n",
       "33   Croix    2018        l'           156.0           208.0           55.0   \n",
       "\n",
       "    articles_secu  \n",
       "17           67.0  \n",
       "25           56.0  \n",
       "0            25.0  \n",
       "4            26.0  \n",
       "33           72.0  "
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     "text": [
      "Croix Securitaire\n"
     ]
    },
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>journal</th>\n",
       "      <th>annees</th>\n",
       "      <th>mots</th>\n",
       "      <th>occurence_huma</th>\n",
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       "      <th>articles_secu</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Croix</td>\n",
       "      <td>2018</td>\n",
       "      <td>français</td>\n",
       "      <td>363.0</td>\n",
       "      <td>342.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>67.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Croix</td>\n",
       "      <td>2016</td>\n",
       "      <td>turc</td>\n",
       "      <td>96.0</td>\n",
       "      <td>267.0</td>\n",
       "      <td>19.0</td>\n",
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       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Croix</td>\n",
       "      <td>2018</td>\n",
       "      <td>allemand</td>\n",
       "      <td>139.0</td>\n",
       "      <td>253.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>51.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Croix</td>\n",
       "      <td>2018</td>\n",
       "      <td>italien</td>\n",
       "      <td>196.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>56.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Croix</td>\n",
       "      <td>2018</td>\n",
       "      <td>europe</td>\n",
       "      <td>151.0</td>\n",
       "      <td>226.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>72.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   journal  annees      mots  occurence_huma  occurence_secu  articles_huma  \\\n",
       "17   Croix    2018  français           363.0           342.0           66.0   \n",
       "83   Croix    2016      turc            96.0           267.0           19.0   \n",
       "79   Croix    2018  allemand           139.0           253.0           31.0   \n",
       "25   Croix    2018   italien           196.0           235.0           48.0   \n",
       "32   Croix    2018    europe           151.0           226.0           54.0   \n",
       "\n",
       "    articles_secu  \n",
       "17           67.0  \n",
       "83           37.0  \n",
       "79           51.0  \n",
       "25           56.0  \n",
       "32           72.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parisien Humanitaire\n"
     ]
    },
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>journal</th>\n",
       "      <th>annees</th>\n",
       "      <th>mots</th>\n",
       "      <th>occurence_huma</th>\n",
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       "      <th>articles_huma</th>\n",
       "      <th>articles_secu</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Parisien</td>\n",
       "      <td>2015</td>\n",
       "      <td>français</td>\n",
       "      <td>404.0</td>\n",
       "      <td>475.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>99.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Parisien</td>\n",
       "      <td>2015</td>\n",
       "      <td>hongrois</td>\n",
       "      <td>374.0</td>\n",
       "      <td>379.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Parisien</td>\n",
       "      <td>2015</td>\n",
       "      <td>allemand</td>\n",
       "      <td>344.0</td>\n",
       "      <td>383.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Parisien</td>\n",
       "      <td>2015</td>\n",
       "      <td>europe</td>\n",
       "      <td>289.0</td>\n",
       "      <td>329.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Parisien</td>\n",
       "      <td>2015</td>\n",
       "      <td>syrien</td>\n",
       "      <td>269.0</td>\n",
       "      <td>308.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      journal  annees      mots  occurence_huma  occurence_secu  \\\n",
       "32   Parisien    2015  français           404.0           475.0   \n",
       "103  Parisien    2015  hongrois           374.0           379.0   \n",
       "73   Parisien    2015  allemand           344.0           383.0   \n",
       "3    Parisien    2015    europe           289.0           329.0   \n",
       "5    Parisien    2015    syrien           269.0           308.0   \n",
       "\n",
       "     articles_huma  articles_secu  \n",
       "32            83.0           99.0  \n",
       "103           39.0           44.0  \n",
       "73            59.0           69.0  \n",
       "3             82.0           93.0  \n",
       "5             68.0           75.0  "
      ]
     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parisien Securitaire\n"
     ]
    },
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       "      <th>32</th>\n",
       "      <td>Parisien</td>\n",
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       "      <td>Parisien</td>\n",
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       "      <td>344.0</td>\n",
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       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Parisien</td>\n",
       "      <td>2015</td>\n",
       "      <td>hongrois</td>\n",
       "      <td>374.0</td>\n",
       "      <td>379.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Parisien</td>\n",
       "      <td>2015</td>\n",
       "      <td>europe</td>\n",
       "      <td>289.0</td>\n",
       "      <td>329.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>93.0</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Parisien</td>\n",
       "      <td>2015</td>\n",
       "      <td>syrien</td>\n",
       "      <td>269.0</td>\n",
       "      <td>308.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      journal  annees      mots  occurence_huma  occurence_secu  \\\n",
       "32   Parisien    2015  français           404.0           475.0   \n",
       "73   Parisien    2015  allemand           344.0           383.0   \n",
       "103  Parisien    2015  hongrois           374.0           379.0   \n",
       "3    Parisien    2015    europe           289.0           329.0   \n",
       "5    Parisien    2015    syrien           269.0           308.0   \n",
       "\n",
       "     articles_huma  articles_secu  \n",
       "32            83.0           99.0  \n",
       "73            59.0           69.0  \n",
       "103           39.0           44.0  \n",
       "3             82.0           93.0  \n",
       "5             68.0           75.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Echos Humanitaire\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>journal</th>\n",
       "      <th>annees</th>\n",
       "      <th>mots</th>\n",
       "      <th>occurence_huma</th>\n",
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       "      <th>articles_secu</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Echos</td>\n",
       "      <td>2015</td>\n",
       "      <td>allemand</td>\n",
       "      <td>481.0</td>\n",
       "      <td>758.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>163.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Echos</td>\n",
       "      <td>2016</td>\n",
       "      <td>turc</td>\n",
       "      <td>385.0</td>\n",
       "      <td>756.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>124.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Echos</td>\n",
       "      <td>2015</td>\n",
       "      <td>français</td>\n",
       "      <td>340.0</td>\n",
       "      <td>555.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>133.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Echos</td>\n",
       "      <td>2015</td>\n",
       "      <td>europe</td>\n",
       "      <td>316.0</td>\n",
       "      <td>531.0</td>\n",
       "      <td>113.0</td>\n",
       "      <td>181.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Echos</td>\n",
       "      <td>2015</td>\n",
       "      <td>hongrois</td>\n",
       "      <td>256.0</td>\n",
       "      <td>285.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>76.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   journal  annees      mots  occurence_huma  occurence_secu  articles_huma  \\\n",
       "18   Echos    2015  allemand           481.0           758.0           98.0   \n",
       "79   Echos    2016      turc           385.0           756.0           64.0   \n",
       "8    Echos    2015  français           340.0           555.0           78.0   \n",
       "6    Echos    2015    europe           316.0           531.0          113.0   \n",
       "13   Echos    2015  hongrois           256.0           285.0           60.0   \n",
       "\n",
       "    articles_secu  \n",
       "18          163.0  \n",
       "79          124.0  \n",
       "8           133.0  \n",
       "6           181.0  \n",
       "13           76.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Echos Securitaire\n"
     ]
    },
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>journal</th>\n",
       "      <th>annees</th>\n",
       "      <th>mots</th>\n",
       "      <th>occurence_huma</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Echos</td>\n",
       "      <td>2015</td>\n",
       "      <td>allemand</td>\n",
       "      <td>481.0</td>\n",
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       "      <td>163.0</td>\n",
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       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Echos</td>\n",
       "      <td>2016</td>\n",
       "      <td>turc</td>\n",
       "      <td>385.0</td>\n",
       "      <td>756.0</td>\n",
       "      <td>64.0</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Echos</td>\n",
       "      <td>2016</td>\n",
       "      <td>allemand</td>\n",
       "      <td>155.0</td>\n",
       "      <td>593.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>161.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Echos</td>\n",
       "      <td>2016</td>\n",
       "      <td>europe</td>\n",
       "      <td>248.0</td>\n",
       "      <td>585.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>183.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Echos</td>\n",
       "      <td>2015</td>\n",
       "      <td>français</td>\n",
       "      <td>340.0</td>\n",
       "      <td>555.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>133.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   journal  annees      mots  occurence_huma  occurence_secu  articles_huma  \\\n",
       "18   Echos    2015  allemand           481.0           758.0           98.0   \n",
       "79   Echos    2016      turc           385.0           756.0           64.0   \n",
       "13   Echos    2016  allemand           155.0           593.0           70.0   \n",
       "20   Echos    2016    europe           248.0           585.0           96.0   \n",
       "8    Echos    2015  français           340.0           555.0           78.0   \n",
       "\n",
       "    articles_secu  \n",
       "18          163.0  \n",
       "79          124.0  \n",
       "13          161.0  \n",
       "20          183.0  \n",
       "8           133.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "stat\n",
    "for journal in stat.journal.unique():\n",
    "    print(journal, \"Humanitaire\")\n",
    "    display(stat.loc[stat.journal == journal].sort_values(by=[\"occurence_huma\"], ascending=False).head(5))\n",
    "    \n",
    "    print(journal, \"Securitaire\")\n",
    "    display(stat.loc[stat.journal == journal].sort_values(by=[\"occurence_secu\"], ascending=False).head(5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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a3UX1A+L0ct6PjIhdu9ivP76joOfzbVmtTlWWcyNiQ5btx2pnnctwec4jqM7102JJZ99REbFfuf+6iNguqit+T1A1JXmh5ak+YKKtuh1L9Yv9UapLWpdRfcFAdXnrp8CfqS7PzqP3y5bvovr1/3eqTlonZzfDC5Yv7y7bKvbgghLnrcDfSkwf7rTPr6g6Xd0CnFHa+nXl36kSqxuoasX+RZW0dDgYGAfMAU4H3p7dD+13LNVlyUepOspc2LGhNKXZuxzv72Wfjo4zAIcC06K6RHk01SXbZVKe4ziqxGoOVY3MtS3b/0T13v41qsuZL+v0+AeoaoTOpuoE9RaqoSGfa+Ppv07VnvufVB2AfroMoU8ELi4xvTMzJ1N1pPpmeR0PUnWwgqq8Ti/P8yhV7dqnenuCPj7m96l+SMym6sT0nm72+xrwHNU/8Iup2gJ3WIMq+Z9D9bmaBXylt9fRg/+g+qF1XznmVSxp3vFfVJ/jPwC/o/pB2OqzVB1o5wCnUL0+YPEP5/2oalVnUn32P04b/5dKk4HTgNvLe7tLZl5Ndd5fXs71e4COESmWpUzeTdWxdTbVe3FJy7ZLyuMfLuXxm95ibYn5n1Rtkk8vz78ZcHubj+2prFYCPkL12Z9N1Y64uwT6Y+X1PUlVHl1WEnQykZbPUKe4FlJ9ll8N/B8wg6oZS+f4a/+OKro9316AU6hGhppL9SOp87m9LL4EfKaU4cdYjvOoOIvq+/dnEfFkefzOZdtLqT6jT1A1KfkV1f80NaSjp67ULyLiy8BLM/OwXnceYCJiE6rke0QbbRKlZRLVcHszMvMzTcfyQvkZkaSlWaOtWkU1durockl9PNUl7qubjkuSJKlutSbaUQ3ofndUEzlMLuvWiWrQ+r+Uv2uX9RER34hqEpI/RsTYluMcVvb/S0QMuprQIW51qktuT1NdpvwqcE2jEUmSJPWDWpuORMQ0YFxpm9ax7j+phmg7PSI+STXaxIkR8UaqtrBvpGprdFZm7hxV56fJVG1Zk2rSgR0zc05tgUuSJEnLqYmmI/uxZLKNi6lmIOtYf0lWfkM1Tu4GVDN63ZTVAPpzqGat2refY5YkSZKWSd2JdlL1ip0SEUeVdevnkhm5HmXJRCAbsvSIEzPKuu7WS5IkSQNWb4PML6/XZubDEfES4KaI+FPrxszMiOiTtislkT8KYLXVVttxyy27nBhLkiRJ6jNTpkz5Z2aO6mpbrYl2Zj5c/j4WEVcD44F/RMQGmflIaRryWNn9YZaeJWujsu5hYPdO63/ZxXOdB5wHMG7cuJw8eXLfvhhJkiSpk4h4qLtttTUdKbNErd5xn2qw+nuoBlnvGDnkMJaMQHEt8B9l9JFdgLmlicmNwN4RsXYZoWTvsk6SJEkasOqs0V4fuDoiOp7n+5n504j4LXBFRBxBNTNSx0xTN1CNOPIg8AzV1NZk5uyI+ALw27Lf5zNzdo1xS5IkSctthZwZ0qYjkiRJ6g8RMSUzx3W1re7OkJIkSUPC/PnzmTFjBvPmzWs6FNVg5MiRbLTRRowYMaLtx5hoS5Ik9YEZM2aw+uqrs8kmm1CazmoFkZnMmjWLGTNmsOmmm7b9uCYmrJEkSVrhzJs3j3XXXdckewUUEay77rrLfLXCRFuSJKmPmGSvuF7Ie2uiLUmSJNXANtqSJEk12OST1/fp8aad/qY+Pd5gtPvuu3PGGWcwblyXg3wMONZoS5IkaZksWLCg6RAGBRNtSZKkFciZZ57Jtttuy7bbbsvXv/51AC655BJGjx7NmDFjOPTQQwH4xz/+wQEHHMCYMWMYM2YMkyZNYtq0aWy77baLj3XGGWcwceJEoKpNPuGEExg3bhxnnXUWU6ZMYcKECey4447ss88+PPLII4v3O/HEExk/fjybb745v/71rwFYuHAhH/vYx9h2220ZPXo0Z599NkC3x+nOlVde+bxjX3TRRRx77LGL93nzm9/ML3/5SwBe/OIX8/GPf5xtttmG17/+9dx1113svvvuvPKVr+Taa68FYNq0aey2226MHTuWsWPHMmnSpOV4B5aw6YgkSdIKYsqUKVx44YXceeedZCY777wzO+20E6eeeiqTJk1ivfXWY/bsaoLt4447jgkTJnD11VezcOFCnnrqKebMmdPj8Z977jkmT57M/PnzmTBhAtdccw2jRo3iBz/4ASeddBIXXHABUNV433XXXdxwww2ccsop3HzzzZx33nlMmzaNqVOnMnz4cGbPns38+fP58Ic/3O1xutLVsXvy9NNPs8cee/CVr3yFAw44gM985jPcdNNN3HfffRx22GG89a1v5SUveQk33XQTI0eO5C9/+Qvvete76IvJD020JUmSVhC33XYbBxxwAKutthoABx54IJMnT+Yd73gH6623HgDrrLMOAD//+c+55JJLABg2bBhrrrlmr4n2QQcdBMADDzzAPffcw1577QVUtdUbbLDB4v0OPPBAAHbccUemTZsGwM0338zRRx/N8OHDF8dxzz339HicrnR17J6svPLK7LvvvgBst912rLLKKowYMYLttttu8ePnz5/Psccey9SpUxk2bBh//vOfez1uO0y06zRxzT44xtzlP4YkSVIbhg8fzqJFixYvdx43uiOBz0y22WYb7rjjji6Ps8oqqwBVAt9Te+7ejtPusXuKe8SIEYuH5ltppZUWP36llVZa/Pivfe1rrL/++vzhD39g0aJFjBw5su14emIbbUmSpBXEbrvtxo9//GOeeeYZnn76aa6++mrGjRvHlVdeyaxZswAWNx3Zc889Offcc4GqJnnu3Lmsv/76PPbYY8yaNYtnn32W6667rsvn2WKLLZg5c+biBHn+/Pnce++9Pca211578Z3vfGdxcjt79uwXdJyubLLJJkydOpVFixYxffp07rrrrmV6/Ny5c9lggw1YaaWVuPTSS1m4cOEyx9AVa7QlSZJq0MRwfGPHjuW9730v48ePB+DII49k11135aSTTmLChAkMGzaMHXbYgYsuuoizzjqLo446ivPPP59hw4Zx7rnn8prXvIbPfe5zjB8/ng033JAtt9yyy+dZeeWVueqqqzjuuOOYO3cuCxYs4IQTTmCbbbbpNrYjjzySP//5z4wePZoRI0bw/ve/n2OPPXaZj9OVXXfdlU033ZStt96arbbairFjxy7T4z/0oQ/xtre9jUsuuYR99913cc398orM7JMDDSTjxo3LvmjAvtxsOiJJ0pBx//33s9VWWzUdhmrU1XscEVMys8uBvW06IkmSJNXApiOSJEkaUI455hhuv/32pdYdf/zxHH744Q1F9MKYaEuSJGlAOeecc5oOoU/YdESSJEmqgYm2JEmSVAMTbUmSJKkGJtqSJElSDewMKUmSVIe+mE9jqeMNnLk1FixYwPDhppG9sUZbkiRpBXLmmWey7bbbsu222/L1r38dgEsuuYTRo0czZswYDj30UAD+8Y9/cMABBzBmzBjGjBnDpEmTmDZtGttuu+3iY51xxhlMnDgRgN13350TTjiBcePGcdZZZzFlyhQmTJjAjjvuyD777MMjjzyyeL8TTzyR8ePHs/nmm/PrX/8aqKZ5/9jHPsa2227L6NGjOfvsswG6PU5XvvGNb7D11lszevRoDj74YACefvpp3ve+9zF+/Hh22GEHrrnmmh6fb5NNNuGf//wnAJMnT2b33Xfvg1Lvmj9FJEmSVhBTpkzhwgsv5M477yQz2Xnnndlpp5049dRTmTRpEuuttx6zZ88G4LjjjmPChAlcffXVLFy4kKeeeoo5c+b0ePznnnuOyZMnM3/+fCZMmMA111zDqFGj+MEPfsBJJ53EBRdcAFQ13nfddRc33HADp5xyCjfffDPnnXce06ZNY+rUqQwfPpzZs2czf/58PvzhD3d7nM5OP/10/va3v7HKKqvw+OOPA3Daaaexxx57cMEFF/D4448zfvx4Xv/613PJJZc87/n6m4m2JEnSCuK2227jgAMOYLXVVgPgwAMPZPLkybzjHe9gvfXWA2CdddYB4Oc//zmXXHIJAMOGDWPNNdfsNdE+6KCDAHjggQe455572GuvvYCq9niDDTZYvN+BBx4IwI477si0adMAuPnmmzn66KMXNzlZZ511uOeee3o8TmejR4/mkEMOYf/992f//fcH4Gc/+xnXXnstZ5xxBgDz5s3j//7v/7p8vv5moi1JkiQAhg8fzqJFixYvz5s3b6ntHQl8ZrLNNttwxx13dHmcVVZZBagS+AULFnT7fL0dp7Prr7+eW2+9lZ/85Cecdtpp3H333WQmP/zhD9liiy3aOkbra+z8+vqabbQlSZJWELvtths//vGPeeaZZ3j66ae5+uqrGTduHFdeeSWzZs0CWNyEYs899+Tcc88FqprkuXPnsv766/PYY48xa9Ysnn32Wa677roun2eLLbZg5syZixPk+fPnc++99/YY21577cV3vvOdxYn37Nmzl+k4ixYtYvr06bzuda/jy1/+MnPnzuWpp55in3324eyzzyYzAfj973/f7fNB1UZ7ypQpAPzwhz/srUiXi4m2JEnSCmLs2LG8973vZfz48ey8884ceeSR7Lrrrpx00klMmDCBMWPG8JGPfASAs846i1/84hdst9127Ljjjtx3332MGDGCz33uc4wfP5699tqLLbfcssvnWXnllbnqqqs48cQTGTNmDNtvvz2TJk3qMbYjjzySl7/85Ys7ZX7/+99fpuMsXLiQ97znPWy33XbssMMOHHfccay11lp89rOfZf78+YwePZptttmGz372s90+H8DJJ5/M8ccfz7hx4xg2bNgLLeq2REf2vyIZN25cTp48uekw+mZYnwE0lI/6yPKeF54TkjQg3X///Wy11VZNh6EadfUeR8SUzBzX1f7WaEuSJEk1sDOkJEmSBpRjjjmG22+/fal1xx9/PIcffnhDEb0wJtqSJEkaUM4555ymQ+gTNh2RJEmSamCiLUmS1EdWxEEmVHkh762JtiRJUh8YOXIks2bNMtleAWUms2bNYuTIkcv0ONtoq3841KEkaQW30UYbMWPGDGbOnNl0KKrByJEj2WijjZbpMSbakiRJfWDEiBFsuummTYehAcSmI5IkSVINTLQlSZKkGphoS5IkSTUw0ZYkSZJqYKItSZIk1cBEW5IkSaqBibYkSZJUAxNtSZIkqQYm2pIkSVINTLQlSZKkGphoS5IkSTUw0ZYkSZJqYKItSZIk1cBEW5IkSaqBibYkSZJUAxNtSZIkqQYm2pIkSVINTLQlSZKkGphoS5IkSTWoPdGOiGER8fuIuK4sbxoRd0bEgxHxg4hYuaxfpSw/WLZv0nKMT5X1D0TEPnXHLEmSJC2v/qjRPh64v2X5y8DXMvPVwBzgiLL+CGBOWf+1sh8RsTVwMLANsC/wrYgY1g9xS5IkSS9YrYl2RGwEvAn477IcwB7AVWWXi4H9y/39yjJl+55l//2AyzPz2cz8G/AgML7OuCVJkqTlVXeN9teBTwCLyvK6wOOZuaAszwA2LPc3BKYDlO1zy/6L13fxGEmSJGlAqi3Rjog3A49l5pS6nqPT8x0VEZMjYvLMmTP74yklSZKkbtVZo70r8NaImAZcTtVk5CxgrYgYXvbZCHi43H8Y2BigbF8TmNW6vovHLJaZ52XmuMwcN2rUqL5/NZIkSdIyqC3RzsxPZeZGmbkJVWfGn2fmIcAvgLeX3Q4Drin3ry3LlO0/z8ws6w8uo5JsCmwG3FVX3JIkSVJfGN77Ln3uRODyiDgV+D1wfll/PnBpRDwIzKZKzsnMeyPiCuA+YAFwTGYu7P+wJUmSpPb1S6Kdmb8Eflnu/5UuRg3JzHnAO7p5/GnAafVFKEmSJPUtZ4aUJEmSamCiLUmSJNXARFuSJEmqgYm2JEmSVAMTbUmSJKkGJtqSJElSDUy0JUmSpBqYaEuSJEk1MNGWJEmSamCiLUmSJNXARFuSJEmqgYm2JEmSVAMTbUmSJKkGJtqSJElSDUy0JUmSpBqYaEuSJEk1MNGWJEmSamCiLUmSJNXARFuSJEmqgYm2JEmSVAMTbUmSJKkGJtqSJElSDUy0JUmSpBqYaEuSJEk1MNGWJEmSamCiLUmSJNXARFuSJEmqgYm2JEmSVAMTbUmSJKkGJtqSJElSDUy0JUmSpBqYaEuSJEk1MNGWJEmSamCiLUmSJNXARFuSJEmqgYm2JEmSVAMTbUmSJKkGJtqSJElSDUy0JUmSpBqYaEuSJEk16DXRjojjI2KNqJwfEb+LiL37IzhJkiRpsGqnRvt9mfkEsDewNnAocHqtUUmSJEmDXDuJdpS/bwQuzcx7W9ZJkiRJ6kI7ifaUiPgZVaJ9Y0SsDiyqNyxJkiRpcBvexj5HANsDf83MZyJiXeDwWqOSJEmSBrl2arQT2Bo4riyvBoysLSJJkiRpBdBOov0t4DXAu8ryk8A5tUUkSZIkrQDaaTqyc2aOjYjfA2TmnIhYuea4JEmSpEGtnRrt+RExjKoJCRExCjtDSpIkST1qJ9H+BnA18JKIOA24DfhirVFJkiRJg1yvTUcy83sRMQXYk2r87P0z8/7aI5MkSZIGsV4T7YjYBbg3M88py2tExM6ZeWft0UmSJEmDVDtNR84FnmpZfqqskyRJktSNtqZgz8zsWMjMRbQ3WokkSZI0ZLWTaP81Io6LiBHldjzw17oDkyRJkgazdhLto4F/Ax4GZgA7A0fVGZQkSZI02LUz6shjwMH9EIskSZK0wmhn1JFRwPuBTVr3z8z39fK4kcCtwCrlcVdl5skRsSlwObAuMAU4NDOfi4hVgEuAHYFZwEGZOa0c61PAEcBC4LjMvHHZXqYkSZLUv9ppOnINsCZwM3B9y603zwJ7ZOYYYHtg3zJU4JeBr2Xmq4E5VAk05e+csv5rZT8iYmuqGvVtgH2Bb5WZKiVJkqQBq53RQ16UmScu64HLSCUdwwKOKLcE9gDeXdZfDEykGi5wv3If4CrgmxERZf3lmfks8LeIeBAYD9yxrDFJkiRJ/aWdGu3rIuKNL+TgETEsIqYCjwE3Af8LPJ6ZC8ouM4ANy/0NgekAZftcquYli9d38ZjW5zoqIiZHxOSZM2e+kHAlSZKkPtNOon08VbI9LyKeiIgnI+KJdg6emQszc3tgI6pa6C1feKi9Ptd5mTkuM8eNGjWqrqeRJEmS2tLOqCOrL++TZObjEfEL4DXAWhExvNRab0Q1bCDl78bAjIgYTtUufFbL+g6tj5EkSZIGpF5rtKPynoj4bFneOCLGt/G4URGxVrm/KrAXcD/wC+DtZbfDqDpbAlxblinbf17aeV8LHBwRq5QRSzYD7mrz9UmSJEmNaKcz5LeARVSdGL9A1cHxHGCnXh63AXBxGSFkJeCKzLwuIu4DLo+IU4HfA+eX/c8HLi2dHWdTxu7OzHsj4grgPmABcExmLlyG1yhJkiT1u3YS7Z0zc2xE/B4gM+dExMq9PSgz/wjs0MX6v1K11+68fh7wjm6OdRpwWhuxSpIkSQNCO4n2/FIrnbB4AptFtUYlaWiYuOZyPn5u38QhSVIN2hl15BvA1cBLIuI04Dbgi7VGJUmSJA1yPdZoR8RKwN+ATwB7AgHsn5n390NskiRJ0qDVY6KdmYsi4pzM3AH4Uz/FJEmSJA167TQduSUi3lamQ5ckSZLUhnYS7Q8AVwLPLuvMkJIkSdJQ1S8zQ0qSJElDTa+JdkT8e1frM/PWvg9HkiRJWjG0M472x1vuj6SabGYK1UyRkiRJkrrQTtORt7QuR8TGwNfrCkiSJElaEbTTGbKzGcBWfR2IJEmStCJpp4322ZTp16kS8+2B39UYkyRJkjTotdNGe3LL/QXAZZl5e03xSJIkSSuEdhLtq4B5mbkQICKGRcSLMvOZekOTJEmSBq+2ZoYEVm1ZXhW4uZ5wJEmSpBVDO4n2yMx8qmOh3H9RfSFJkiRJg187ifbTETG2YyEidgT+VV9IkiRJ0uDXThvtE4ArI+LvQAAvBQ6qMyhJkiRpsGtnwprfRsSWwBZl1QOZOb/esCRJkqTBrdemIxFxDLBaZt6TmfcAL46ID9UfmiRJkjR4tdNG+/2Z+XjHQmbOAd5fW0SSJEnSCqCdRHtYRETHQkQMA1auLyRJkiRp8GunM+RPgR9ExHfK8gfKOkmSJEndaCfRPpEquf5gWb4J+O/aIpIkSZJWAO2MOrIoIs4HbgOSatSRhbVHJkmSJA1ivSbaEbE7cDEwjWoc7Y0j4rDMvLXWyCRJkqRBrJ2mI18F9s7MBwAiYnPgMmDHOgNr2iafvH65jzFtZB8EIkmSpEGpnVFHRnQk2QCZ+WdgRH0hSZIkSYNfOzXakyPiv4HvluVDgMn1hSRJkiQNfu0k2h8EjgGOK8u/Br5VW0SSJEnSCqCdUUeeBc4sN0mSJElt6DbRjohfUA3nNzsz395/IUmSJEmDX0812u8tfx0zW5IkSVpG3SbamflQfwYiSZIkrUh6ajryJFXTkS5l5hq1RCRJkiStAHqq0V4dICK+ADwCXEo1M+QhwAb9Ep0kSZI0SLUzYc1bM/NbmflkZj6RmecC+9UdmCRJkjSYtZNoPx0Rh0TEsIhYKSIOAZ6uOzBJkiRpMGsn0X438E7gH+X2jrJOkiRJUjfambBmGjYVkSRJkpZJOzXakiRJkpaRibYkSZJUAxNtSZIkqQa9JtoRsX5EnB8R/1OWt46II+oPTZIkSRq82qnRvgi4EXhZWf4zcEJN8UiSJEkrhHYS7fUy8wpgEUBmLgAW1hqVJEmSNMi1O2HNukACRMQuwNxao5IkSZIGuV7H0QY+AlwLvCoibgdGAW+vNSpJkiRpkOsx0Y6IYcCEctsCCOCBzJzfD7FJkiRJg1aPTUcycyHwrsxckJn3ZuY9JtmSJElS79ppOnJ7RHwT+AHwdMfKzPxdbVFJkiRJg1w7ifb25e/nW9YlsEefRyNJkiStIHpNtDPzdf0RiCRJkrQiaWdmyHUj4hsR8buImBIRZ5Xh/iRJkiR1o51xtC8HZgJvoxrWbyZVe21JkiRJ3WinjfYGmfmFluVTI+KgugKSJEmSVgTt1Gj/LCIOjoiVyu2dwI29PSgiNo6IX0TEfRFxb0QcX9avExE3RcRfyt+1y/ooTVQejIg/RsTYlmMdVvb/S0Qc9kJfrCRJktRfuk20I+LJiHgCeD/wfeC5crscOKqNYy8APpqZWwO7AMdExNbAJ4FbMnMz4JayDPAGYLNyOwo4t8SxDnAysDMwHji5IzmXJEmSBqpuE+3MXD0z1yh/V8rM4eW2Umau0duBM/ORjrG2M/NJ4H5gQ2A/4OKy28XA/uX+fsAlWfkNsFZEbADsA9yUmbMzcw5wE7DvC3u5kiRJUv9op402ETEa2KR1/8z8UbtPEhGbADsAdwLrZ+YjZdOjwPrl/obA9JaHzSjrulsvSZIkDVi9JtoRcQEwGrgXWFRWJ9BWoh0RLwZ+CJyQmU9ExOJtmZkRkcsadDfPcxSlScvLX/7yvjikJEmS9IK1U6O9S2lnvcwiYgRVkv29lhrwf0TEBpn5SGka8lhZ/zCwccvDNyrrHgZ277T+l52fKzPPA84DGDduXJ8k75IkSdIL1c6oI3eUTozLJKqq6/OB+zPzzJZN1wIdI4ccBlzTsv4/yugjuwBzSxOTG4G9I2Lt0glyb9oY9USSJElqUjs12pdQJduPAs8CQdXqY3Qvj9sVOBS4OyKmlnWfBk4HroiII4CHgHeWbTcAbwQeBJ4BDqd6otkR8QXgt2W/z2fm7DbiliRJkhrTTqJ9PiVhZkkb7V5l5m1USXlX9uxi/wSO6eZYFwAXtPvckiRJUtPaSbRnZua1tUciSZIkrUDaSbR/HxHfB35C1XQEWLbh/SRJvZi45nI+fm7fxCFJ6jPtJNqrUiXYe7esa3t4P0mSJGko6jXRzszD+yMQDVybfPL65T7GtJF9EIgkSdIg0uvwfhGxUURcHRGPldsPI2Kj/ghOkiRJGqzaGUf7Qqoxrl9Wbj8p6yRJkiR1o51Ee1RmXpiZC8rtImBUzXFJkiRJg1o7nSFnRcR7gMvK8ruAWfWFJA1ctleXJEntaqdG+31Uszc+CjwCvJ0ya6MkSZKkrrUz6shDwFv7IRZJkiRphdFtoh0Rn+vhcZmZX6ghHkmSJGmF0FON9tNdrFsNOAJYFzDRliRJkrrRbaKdmV/tuB8RqwPHU7XNvhz4anePkyRJktRLG+2IWAf4CHAIcDEwNjPn9EdgkiRJ0mDWUxvtrwAHAucB22XmU/0WlSRJkjTI9TS830epZoL8DPD3iHii3J6MiCf6JzxJkiRpcOqpjXY7Y2xLkiRJ6oLJtCRJklQDE21JkiSpBibakiRJUg1MtCVJkqQamGhLkiRJNTDRliRJkmpgoi1JkiTVwERbkiRJqoGJtiRJklQDE21JkiSpBibakiRJUg1MtCVJkqQaDG86AEmD0yafvH65jzFtZB8EohXPxDWX8/Fz+yYOSVpO1mhLkiRJNbBGW5KkgcrafWlQs0ZbkiRJqoGJtiRJklQDE21JkiSpBibakiRJUg1MtCVJkqQamGhLkiRJNTDRliRJkmpgoi1JkiTVwERbkiRJqoGJtiRJklQDp2CXpOW0ySevX+5jTBvZB4FIkgYUa7QlSZKkGphoS5IkSTUw0ZYkSZJqYKItSZIk1cBEW5IkSaqBo45IkqSBb+Kay/n4uX0Th7QMrNGWJEmSamCNtiRJ0mCxvDX7YO1+P7JGW5IkSaqBNdqSpD7jLJmStIQ12pIkSVINTLQlSZKkGphoS5IkSTWoLdGOiAsi4rGIuKdl3ToRcVNE/KX8Xbusj4j4RkQ8GBF/jIixLY85rOz/l4g4rK54JUmSpL5UZ432RcC+ndZ9ErglMzcDbinLAG8ANiu3o4BzoUrMgZOBnYHxwMkdybkkSZI0kNWWaGfmrcDsTqv3Ay4u9y8G9m9Zf0lWfgOsFREbAPsAN2Xm7MycA9zE85N3SZIkacDp7zba62fmI+X+o8D65f6GwPSW/WaUdd2tlyRJkga0xjpDZmYC2VfHi4ijImJyREyeOXNmXx1WkiRJekH6O9H+R2kSQvn7WFn/MLBxy34blXXdrX+ezDwvM8dl5rhRo0b1eeCSJEnSsujvRPtaoGPkkMOAa1rW/0cZfWQXYG5pYnIjsHdErF06Qe5d1kmSJEkDWm1TsEfEZcDuwHoRMYNq9JDTgSsi4gjgIeCdZfcbgDcCDwLPAIcDZObsiPgC8Nuy3+czs3MHS0mSJGnAqS3Rzsx3dbNpzy72TeCYbo5zAXBBH4YmSZIk1c6ZISVJkqQamGhLkiRJNTDRliRJkmpgoi1JkiTVoLbOkJIkDWWbfPL65T7GtJF9EIikxlijLUmSJNXARFuSJEmqgYm2JEmSVAMTbUmSJKkGJtqSJElSDUy0JUmSpBqYaEuSJEk1MNGWJEmSamCiLUmSJNXARFuSJEmqgVOwS5KkWjkdvYYqa7QlSZKkGphoS5IkSTUw0ZYkSZJqYKItSZIk1cBEW5IkSaqBibYkSZJUAxNtSZIkqQaOoy1JktRPlndMcccTH1xMtCVJktTvlvtHx+lv6qNI6mPTEUmSJKkGJtqSJElSDWw6IkmSpMFn4pp9cIy5y3+MHlijLUmSJNXARFuSJEmqgYm2JEmSVAMTbUmSJKkGJtqSJElSDUy0JUmSpBqYaEuSJEk1MNGWJEmSamCiLUmSJNXARFuSJEmqgYm2JEmSVAMTbUmSJKkGJtqSJElSDUy0JUmSpBqYaEuSJEk1MNGWJEmSamCiLUmSJNXARFuSJEmqgYm2JEmSVAMTbUmSJKkGJtqSJElSDUy0JUmSpBqYaEuSJEk1MNGWJEmSamCiLUmSJNXARFuSJEmqgYm2JEmSVAMTbUmSJKkGgybRjoh9I+KBiHgwIj7ZdDySJElSTwZFoh0Rw4BzgDcAWwPvioitm41KkiRJ6t6gSLSB8cCDmfnXzHwOuBzYr+GYJEmSpG4NlkR7Q2B6y/KMsk6SJEkakCIzm46hVxHxdmDfzDyyLB8K7JyZx7bscxRwVFncAnig3wN9vvWAfzYdxABhWSxhWSxhWSxhWSxhWSxhWSxhWVQshyUGSlm8IjNHdbVheH9H8gI9DGzcsrxRWbdYZp4HnNefQfUmIiZn5rim4xgILIslLIslLIslLIslLIslLIslLIuK5bDEYCiLwdJ05LfAZhGxaUSsDBwMXNtwTJIkSVK3BkWNdmYuiIhjgRuBYcAFmXlvw2FJkiRJ3RoUiTZAZt4A3NB0HMtoQDVlaZhlsYRlsYRlsYRlsYRlsYRlsYRlUbEclhjwZTEoOkNKkiRJg81gaaMtSZIkDSom2pIkSVINTLQlSZKkGgyazpCDQUSsBvwrMxdFxObAlsD/ZOb8hkNrRESsCrw8MwfC5EGSBqiI2BR4JDPnleVVgfUzc1qjgTUoIjYEXkHL/+nMvLW5iPpfROwKTM3MpyPiPcBY4KzMfKjh0NSwiBgGrM/Sn4//ay6i7tkZsg9FxBRgN2Bt4Haq8b+fy8xDGg2sARHxFuAMYOXM3DQitgc+n5lvbTay/hMRZwPdfsAy87h+DGdAiIibgHdk5uNleW3g8szcp9HAGlB+jH+c5ydTezQWVEMiYjLwb5n5XFleGbg9M3dqNrJmRMSXgYOA+4CFZXUOpe9PgIj4IzAGGA1cBPw38M7MnNBkXE0oPzomsuT7IqjOiVc2GVcTIuLDwMnAP4BFZXVm5ujmouqeNdp9KzLzmYg4AvhWZv5nRExtOqiGTATGA78EyMyppdZqKJlc/u4KbA38oCy/g+of6FC0XkeSDZCZcyLiJQ3G06QrgW8D/8WSZGqoGt6RZANk5nMl2R6q9ge2yMxnmw6kYQsyMyNiP+CbmXl++f86FJ0P/D9gCn5fHE/1+ZjVdCDtMNHuWxERrwEOATq+DIY1GE+T5mfm3IhoXTekLp9k5sUAEfFB4LWZuaAsfxv4dZOxNWhRRLy84xJfRLyCIXZetFiQmec2HcQAMTMi3pqZ1wKUxOqfDcfUpL8CI4Chnmg/GRGfAt4D/HtErERVLkPR3Mz8n6aDGCCmA3ObDqJdJtp96wTgU8DVmXlvRLwS+EWzITXm3oh4NzAsIjYDjgMmNRxTU9YG1gBml+UXl3VD0aeB2yLiV1SXPncDjmo2pMb8JCI+BFxNS0KVmbO7f8gK62jgexFxDtUPrxnAfzQbUqOeAaZGxC0sfW4MteZmBwHvBo7IzEcj4uXAVxqOqSm/iIivAD9i6XPid82F1Ji/Ar+MiOtZuizObC6k7tlGW7WIiBcBJwF7UyVUNwJf6OjsNJRExOFUTWl+QVUW/w5M7KjxHipKbdTbgZ8Du5TVv8nMIVlzGRF/62L1kGxz2SEiXgyQmU81HUuTIuKwrtYPte8MLRERXVXa5RDt03FyV+sz85T+jqUdJtp9ICK+npknRMRP6OIy+FDrwNIqItag+jJ4sulYmhQRLwV2Lot3ZuajTcbTlIiYnJnjmo5DA0tErA98EXhZZr4hIrYGXpOZ5zccWmOG8qhNEXFbZr42Ip6k+p8arX8zc41GA5SWgYl2H4iIHTNzSkR02RM6M3/V3zE1LSJ2Ai4AVi+r5gLvy8wpzUXVHIfqqkTE6VRtb38APN2xfig2lyhXfT5ClUwdVZpYbZGZ1zUcWr+LiP8BLgROyswxETEc+H1mbtdwaI1w1CZ1iIj3ZOZ3I+IjXW0fqM0l6hQRo4BPANsAIzvWD9Tafdto94GO5HEoJtQ9OB/4UGb+GiAiXkv1j3RADr9Tp5ahuu6lZSgiYMgl2lTlAHBMy7oEhmJziQupRhD4t7L8MNVIJEMu0aYajeaK0vGNzFwQEUN5ZIWJPH/UpqH4GSEixlD15QC4NTP/2GQ8DVit/F29x72Glu9RVda8map/x2HAzEYj6oGJdh8qNVJfohrKrfVX1lD8glzYkWQDZOZtEbGgyYAatD8O1QVAZg61IR578qrMPCgi3gVQhgaN3h60gno6ItalNL2LiF0YRKMK1KCrUZsWdbfziioijgfeT9UBEKoOs+dl5tkNhtWvMvM75e+AbH/ckHXLUI/HlwrOX0XEb5sOqjsm2n3rQqpB1L8GvA44nKE7zf2vIuI7wGVU/zwPouolPBaGXE9ph+oqIqLLkSQy85L+jmUAeK60w+1ILl/F0D1HPgJcC7wqIm4HRlF1nB2qHLWpcgSwc2Y+DYuvDt4BDJlEu0NEjKQqj87NJd7XWFDN6Zht+5GIeBPwd2CdBuPpkYl231o1M2+JiChTxE4ss0V+runAGjCm/O3cO3gHqsRiQLalqolDdS3ROtPfSGBP4HfAUEy0TwZ+CmwcEd+jmtjovY1G1IAylfKEctuCqsPbA5k5v8cHrtg+TDVq07NUlRU3Al9oNKJmBEtPzrKwrBuKLgX+BOwDfJ5qvo77G42oOadGxJrAR6l+dK1BNZnPgGRnyD4UEZOA1wJXUQ1h9jBwemZu0WhgapRDdXUvItaimoJ936ZjaUJpLrELVfIwlIc6vCszxzcdhwaW0gHwMKqx5qFqhndRZn69qZiaEhG/z8wdIuKPmTk6IkYAv87MXXp9sBplot2Hykgb9wNrUdU+rAF8JTN/02RcTSi/Nk+mGjMa4FdUveaHcrtLdVL+WdybmZs3HUt/iYgtM/NPHc2oOhtizaoAiIivUTWv6jwazZAqC4eKXaKMu78LMI+qAguqxPL3zUXVnI4foxFxK/Ah4FHgrqHYB6yMOvJ+YBOWHslrQDajMdHuQxExovVyZ+nYNHwoXgKNiB8C9wAdtbaHAmMy88DmomqGnWSXiIhrWxZXoiqTKzLzkw2F1O9KZ66jnIBiiZay6PiH1DFe8pAqC4eKXVpHLW7TcQwEEXEk8ENgO+AiqhmGP5eZ324yriaU1gO/phq1aXHTosz8YWNB9cBEuw9FxB3A3h2Ts5TJWv6HairhEZn5pybj608RMTUzt+9t3VAQEbexpJPsWyidZDNzyLXdj4i7gI+XxQXA/wHHZuaJzUXV/0pt3Wsy8/amYxkIIuKjLJmQhHL/CWByZk5tKi41KyLOoOr8+KM0WVEx2HKJoToiRl1WbZ0BMTOfoLq08TbgJ00F1ZB/lbGzAYiIXYF/NRhPk1bNzFuoftg+lJkTgTc1HFNThmfmr8rt9sycDryh6aD6W2YuAr7ZdBwDyI5U4+FuALwM+ABVp6//iohPNBlYf4qIuyPij93dmo6vAR+gGlv+2Yh4IiKejIgnmg6qCRHxxdKnpWN57Yg4tcGQmnRdRLyx6SDa5agjfevpiBiTmX8AiIgdgOmZ+Z8R8ZKGY+tvRwOXlLbaAHOoOrUMRc+WGsy/RMSxVJ1kX9xwTP0qIj5I1a7wlZ0ShtWBoVqre0tEvA1r6wA2AsZm5lMAEXEycD1VH48pwH82GFt/enPTAQwkmekkLUu8ITM/3bGQmXNKsvmZBmPqVxHxJEuufH06Ip6lGuqvo6nZGk3G1x2bjvSh0hnyMqoxHQN4KXDwUJt2vAzX9eXM/FhpPtNRuz8kddFJdk3gP4dSJ9nyg2ttqrbqre2xnxyK06/D4n8aq1E1oZnHAP9nUaeI+BOwXUd/lohYBfhDZm5pO92hq5sOw3OBhzJzSE2AViooduqY+KyMwT85M7dpNjL1xhrtPpSZv42IrajGgoUhOhZsZi7saDYylBPsDpnZMWPVU1Tts4ecMtrMXOBdTccyUFhbt5TvAXdGxDVl+S3A9yNiNeC+5sJqRpkZ82xgK2BlYBjw9BD8EfYtYCxwd1nejqqT/ZoR8cHM/FljkfW/71FdBbuwLB/OksEGhpTB9gPMGu0+FhH/xvOHnBlyk3FExLnAhlTt61qH6/pRtw9aQUXEOKrJJ17B0ufF6MaCUuPKyDznAz8tbbaHtPI52bUs3p6Zk5uMp0kRMRk4mOr7cxxVh/rNM/NTjQbWzyLiR8BnM/Pesrw11WQtn6BqcrV9g+H1u4h4A9UkXwA3ZeaNTcbTlIj4Dd38AAMG3A8wE+0+FBGXAq8CprJkyJkcijMAtvzqbpUDdZzLOkXEA1QjbdwNLE6oyuyhGqIi4vVUtVK7UCVUF2bmA81GpYEgIiZn5riOyUnKuiHXhCYi7snMbbtaN9hGnlDfGWw/wGw60rfGAVvbsQkyc0g2kejGzMy8tvfdNJRk5s3AzaX9+rvK/enAfwHfHYrNzrTYMxGxMjA1Iv4TeIShOUrYveXq6OVl+SDgvtKGf0h8PiLitsx8bUtHwMWbGKJ9Oqiu7tzbsZCZ95WJwP5aTV8ysFij3Yci4krguMx8pOlYmlZqtLua2Wwo1mjvSZVI3QI827F+KDaj0dKimoL9PVQTOv2dqh3ma6k6Bu7eYGhqUES8AvgHVfvs/0d1SfyczPzfRgPrZ6XD34dYMjPk7VTttucBL+oYpUZDS0RcAcxi6R9g61F9j96WmTs1FVtXTLT7UJndbHvgLpZOqIbMtLkdyrBlHUYCBwB/H6LNaL4LbAncy5KmI0OyGY2WiIirqTpOXwpc1PoDvaPpQGPBqVERcXxmntXbOg0NZSSvezNzy6ZjGQgG2w8wE+0+5LS53SvjSN+Wmf/WdCz9LSIeyMwtet9TQ0lEvJOqI+QTEfEZqs49p2bm7xoOTQ2LiN9l5thO64ZiG+1dgYk8vyP5K5uKqSllRJ4PZ+b/NR1LUyLilszcMyK+PJhmE7aNdh8yoe7RZsBQm7Snw6SI2Dozh9wwZerRZzLzijIU5uuBrwDnAjs3G5aaEhHvAt4NbBoRrf06VgeG4njz51M1nZnCkgEGhqq1qdqs38XSI3kNpSvmG5SR3d4aEZdTtVNfbKBWUpho9yHHPl2ii44bj1L1CB6KdqHq1PQ3qiZFHZ1YHN5vaOtIHN4EnJeZ1w/hKZVVmUTV8XE94Kst658EhuIU7HMz83+aDmKA+GzTAQwAn6Mqh42AMzttS2CPfo+oDTYd6UOOfbpEaSpyCLBpZn4+Il4OvDQz72o4tH5XOjY9j8P7DW0RcR3wMLAXVbORfwF3ZeaYRgOTBoiIOJ2qwupHLN3vaUDWXNat/C/ZLDNvjogXAcMy88mm4+pvEfFZ4JvA5lR9wBIgM29tMq7umGj3Icc+XaIMybQI2CMzt4qItYGfDbTewP2lNA/YLDMvjIhRwIsz829Nx6XmlH+U+wJ3Z+ZfImIDqtFGBtRkC+o/DuW2tDLAQGeZmQOy5rKvRcRGmTmj3H8/cBSwTma+KiI2A76dmXv2eJAVUCmL46hqtqdSXTWeNFDLwqYjfcuxT5fYOTPHRsTvATJzTimbISciTqa6wrEFcCEwAvguS2bB0xCUmc9Q1dR1LD9C9Z2hISozX1v+rt50LANBZr6u6RgatltEjMrMbwDHAOOBOwHKj/Oh2u/pOGAn4DeZ+bqI2BL4YsMxdWuoJoF1OZSqTI+l6qywMfC2Hh+x4ppfhiRKgFKLO1SnmT4AeCulA0tm/p2qc5MkqRsRsWZEnBkRk8vtq2WCpyEhMy8DOoaqey4zn+vYFhHD6WKuiiFiXmbOA4iIVTLzT1QVWQOSiXYfKUnlFzNzXmY+kZmnZOZHMvPBpmNryDeAq4GXRMRpwG0M4F+cNXuuzBba8aNjtYbjkaTB4AKqjqDvLLcnqK4KDhmZeUG5+8uI+DSwakTsRdUX7CfNRdaoGRGxFvBj4KYy9OGA7fNkG+0+FBG3UbVJfq7XnYeAcjlnT6r2hbdk5v0Nh9SIiPgY1fCGewFfAt4HfD8zz240MEkawCJiamZu39u6oaAMMHAEsDfV/9Qbgf/OIZ7ElflL1qSak2BA5l4m2n0oIi6hGtrvWpYe57LzMDQaYkoNxOIvyMy8qeGQJGlAi4g7gI9n5m1leVfgjMx8TbORSe0z0e4DEXFpZh4aEY8DX+u8PTNP6f+oJEkavCJie+BiqhpLgDnAYZk55MYUj4g3A19gySyZQ3IkmsHIRLsPRMR9VDO7/RTYvfP2zByKM3oNeV0M0bV4E35BSlKPImIV4O3Aq4C1gLlU352fbzKuJkTEg8CBVMOBmrgNIg7v1ze+DdwCbApMblkfVInWK5sISs1yiC5JWi7XAI8Dv6Oa3Gkomw7cY5I9+Fij3Yci4tzM/GDTcWhgiIh1etrulQ5J6l5E3JOZ2zYdx0AQETtRNR35FUvPkmkfsAHOGu0+ZJKtTqZQXdGIlnUdy17pkKSeTYqI7TLz7qYDGQBOoxpTeyQwJCd/G6ys0Zb6Qand3ozqSxKAzPxVcxFJ0sAUEXdTVUYMp/re/CtVLW5H/5bRDYbXCGv3By9rtKWaRcSRwPHARsBUYBdgEtUY45Kkpb256QAGoBsiYu/M/FnTgWjZWKMt1azUzuwE/CYzty8T+XwxMw9sODRJ0iBQRrFajapmfz6OXjVoWKMt1W9eZs6LCCJilcz8U0Rs0XRQkqTBITNX76oJogY+E22pfjMiYi3gx8BNETEHeKjRiCRJg4ZNEAcvm45I/SgiJlDNcvbTzHyu6XgkSQOfTRAHL2u0pX7kSCOSpBfAJoiDlIm2JEnSwGYTxEHKpiOSJEmDhE0QBxcTbUmSJKkGKzUdgCRJkrQiMtGWJEmSamCiLUnqUkTsHhH/1nQckjRYmWhLkrqzO2CiLUkvkJ0hJWkFFhGbAD8FfkOVNP8WuBA4BXgJcAjwIHAB8ErgGeAo4InymIXATODDwEuBk8u6uZn57/34UiRp0DHRlqQVWEm0HwR2AO6lSrT/ABwBvBU4HJgO/DMzT4mIPYAzy+xzE4GnMvOMcqy7gX0z8+GIWCszH+/v1yNJg4lNRyRpxfe3zLw7MxdRJdu3ZFXLcjewCfBa4FKAzPw5sG5ErNHFcW4HLoqI9wPD+iVySRrETLQlacX3bMv9RS3Li1iGGYIz82jgM8DGwJSIWLfPIpSkFZCJtiTp11RttYmI3amakTwBPAms3rFTRLwqM+/MzM9RtdveuP9DlaTBo+2aDEnSCmsicEFE/JGqM+RhZf1PgKsiYj+qzpD/LyI2AwK4haqttySpG3aGlCRJkmpg0xFJkiSpBibakiRJUg1MtCVJkqQamGhLkiRJNTDRliRJkmpgoi1JkiTVwERbkiRJqoGJtiRJklSD/w9Gh1XMvZca0gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Stat desc de l'occurence des nationalités dans les articles humanitaires et securitaire\n",
    "word_to_eliminate = [\"l'\",\"la\",\"de\",\"-\",\"l'\",\"l'\",\"l’\",\"la\",\"le\"]\n",
    "stat = stat.loc[~(stat.mots.isin(word_to_eliminate))]\n",
    "for journal in stat.journal.unique():\n",
    "    data = stat.loc[stat.journal==journal,[\"mots\",\"occurence_huma\",\"occurence_secu\"]].groupby(\"mots\").sum()\n",
    "    \n",
    "    data.sort_values(\"occurence_huma\",ascending=False).head(10).plot(kind='bar', figsize=(12, 6))\n",
    "    plt.title(f'{journal} : Top 10 des nationalités les plus fréquentes dand les articles humanitaires')\n",
    "    plt.ylabel('Nombre d\\'occurences')\n",
    "    \n",
    "    data.sort_values(\"occurence_secu\",ascending=False).head(10).plot(kind='bar', figsize=(12, 6))\n",
    "    plt.title(f'{journal} : Top 10 des nationalités les plus fréquentes dand les articles sécuritaire')\n",
    "    plt.ylabel('Nombre d\\'occurences')\n",
    "    \n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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4GxwRO0bEVuV3ziERsW5mvkixPVf12FcTmFCrblnU5f0XxZf8fIpf0x+j+KXcnfdQXIhxP0Vd2xcz85Iu5juZoiTjB1nU4b0PODEixnS10ihOsR+yErG/QJFA703RKvR94P2ZeVvNbGdSfMk+RnFxy/t6WOWfKZLQNwDTy8e7lM91IfB14HKKC07uZcUv74645lDUjp9J0cr1OEUPCB2+TdHa8eeIWEBx8c/EctrLKRLypyhOs/6F4hTryjqV4iKlR8r1X9hp+rcpaiIfj4iuzhx8nKIF6S6KizTPBH7a25OWpUCfoEhGHqf44jm3zphnlP8fjYiOOsL3UyTpt5TrO5ui9hGKOtzro+iL/FzgmKyvH+2+XOdfKE7fXwp8IzP/3HmG8ofr0RTJzH0U27V2f5gMzCmf89vAwVlfPewKMnMmxYVX3y1f250UF1l1HC/7l8OPUVy49buaZf9F8ePvEor60871458p13ddFGVEl9B9jXRnP6GoE30iIn5f/mh7G0U97d0U++mPKUoaoM5tkpl/otjXLytju6zTLEcDJ5TH2f+wcq1/X6I4zu+m+GxYmeOwp201phx+muJHzvcz8/Iu1nERxXH7rzKOhfRe4tHVMbRUZs6guJ7iTIpytd9TnLXrrOmfUXXsbyuzrlsoSgqvpUiIt6HoZWNVXEZxRvLBiHikHLfK+1H5mbgnRQ39/RSlJ19j2Y/qQ4F7yv3kIxTlIGoRHVetSm0tIk6juCr/C1XHopeWiBhNkWgNzt4v6m1ZHiOS1D1bqCVJkqQGmFBLkiRJDbDkQ5IkSWqALdSSJElSA0yoJUmSpAb0dte7ljZy5MgcPXp01WFIkiTpJW7WrFmPZOaorqYN6IR69OjRzJw5s+owJEmS9BIXEfd2N82SD0mSJKkBJtSSJElSA0yoJUmSpAYM6BpqSZKkgeTFF19k3rx5LFy4sOpQ1I0hQ4awySabMHjw4LqXMaGWJEnqJ/PmzWPYsGGMHj2aiKg6HHWSmTz66KPMmzePzTffvO7lLPmQJEnqJwsXLmT99dc3mW5REcH666+/0mcQTKglSZL6kcl0a1uV98eEWpIkSWqANdSSJEkVGX38+X26vnu++tY+Wc+pp57KlClTGDp0KAD77LMPZ555JsOHD+9y/qlTp7L22mtz3HHHNfzcp512GjNnzuS73/1uw+vqL7ZQS5IkaanFixdz6qmn8uyzzy4dd8EFF3SbTMuEWpIkqa3st99+7LDDDowdO5bp06cDsPbaa3Pssccybtw4TjrpJO6//3522203dtttNwBGjx7NI488AsDpp5/Otttuy7hx4zj00ENXWP+///1vJk+ezA477MCb3vQmbrvtNgBmzJjB6173OsaNG8cuu+zSY4z3338/kydPZsyYMXz6059eOn7ttdde+vjss8/m8MMPB+Dwww/nqKOOYtKkSWyxxRZcccUVfPCDH2SrrbZaOg/AUUcdxYQJExg7dixf/OIXV37jdcOSD0mSpDby05/+lBEjRvDcc8+x4447csABB/DMM88wceJETjnllKXzXH755YwcOXK5ZefMmcOJJ57INddcw8iRI3nsscdWWP+UKVOYNm0aY8aM4frrr+foo4/msssu44QTTuCiiy5i44035oknnugxxtmzZ/OPf/yDNdZYgy233JKPf/zjbLrppj0u8/jjj3Pttddy7rnn8o53vIOrr76aH//4x+y4447Mnj2b8ePHc9JJJzFixAgWL17MHnvswU033cS22267chuwCybUkiRJbeQ73/kO55xzDgBz587ljjvuYNCgQRxwwAG9LnvZZZdx4IEHLk20R4wYsdz0p59+mmuuuYYDDzxw6bjnn38egJ133pnDDz+cgw46iP3337/H59ljjz1Yd911Adh666259957e02o3/72txMRbLPNNmy44YZss802AIwdO5Z77rmH8ePHc9ZZZzF9+nQWLVrEAw88wC233GJC3TKmrtvg8k/2TRySJEk9uOKKK7jkkku49tprGTp0KLvuuisLFy5kyJAhDBo0qOH1L1myhOHDhzN79uwVpk2bNo3rr7+e888/nx122IFZs2ax/vrrd7meNdZYY+njQYMGsWjRImD5Lu069xXdscxqq6223PKrrbYaixYt4u677+Yb3/gGf//731lvvfU4/PDD++yOldZQS5IktYknn3yS9dZbj6FDh3Lbbbdx3XXXdTnfsGHDWLBgwQrjd999d2bMmMGjjz4KsELJxzrrrMPmm2/OjBkzgOLOgzfeeCNQ1FZPnDiRE044gVGjRjF37tyVjn/DDTfk1ltvZcmSJUtb2ev11FNPsdZaa7Huuuvy0EMP8ac//Wmln787tlBLkiRVpK+6uavX5MmTmTZtGltttRVbbrklkyZN6nK+KVOmMHnyZDbaaCMuv/zypePHjh3L5z//ed785jczaNAgtttuO0477bTllj3jjDM46qijOPHEE3nxxRc5+OCDGTduHJ/61Ke44447yEz22GMPxo0bt9Lxf/WrX+Vtb3sbo0aNYsKECTz99NN1Lztu3Di22247Xvva17Lpppuy8847r/Tzdycys89W1t8mTJiQM2fOrDoMSz4kSVJdbr31Vrbaaquqw1AvunqfImJWZk7oav6mlXxExJCI+FtE3BgRcyLiS+X4zSPi+oi4MyJ+ExEvK8evUQ7fWU4f3azYJEmSpL7SzBrq54HdM3McMB6YHBGTgK8B38rMVwOPA0eU8x8BPF6O/1Y5nyRJkl6CLrroIsaPH7/c3zvf+c6qw1olTauhzqKWpKOwZXD5l8DuwHvL8T8HpgI/APYtHwOcDXw3IiIHck2KJEmSurTXXnux1157VR1Gn2hqLx8RMSgiZgMPAxcD/waeyMxF5SzzgI3LxxsDcwHK6U8CK/SlEhFTImJmRMycP39+M8OXJEmSetXUhDozF2fmeGATYCfgtX2wzumZOSEzJ4waNarR1UmSJEkN6Zd+qDPzCeBy4PXA8IjoKDXZBLivfHwfsClAOX1d4NH+iE+SJElaVc3s5WNURAwvH68J/AdwK0Vi/a5ytsOAP5SPzy2HKadfZv20JEmSWl0zb+zyCuDnETGIInE/KzP/GBG3AL+OiBOBfwA/Kef/CfCLiLgTeAw4uImxSZIkVa/Re1mssL6+ubfFqaeeypQpUxg6dCgA++yzD2eeeSbDhw/v+mmnTmXttdfmuOOO65PnH2ia2cvHTcB2XYy/i6KeuvP4hcCBzYpHkiRJvVu8eDGnnnoq73vf+5Ym1BdccEHFUbW2fqmhliRJUmvYb7/92GGHHRg7dizTp08HYO211+bYY49l3LhxnHTSSdx///3stttu7LbbbgCMHj2aRx55BIDTTz+dbbfdlnHjxnHooYeusP5///vfTJ48mR122IE3velN3HbbbQDMmDGD173udYwbN45ddtml2/jmzJnDTjvtxPjx49l222254447APjlL3+5dPyHP/xhFi9eDMCFF17I9ttvz7hx49hjjz2AosX8G9/4xtJ1vu51r+Oee+5pcMt1r5klH5IkSWoxP/3pTxkxYgTPPfccO+64IwcccADPPPMMEydO5JRTTlk6z+WXX87IkSOXW3bOnDmceOKJXHPNNYwcOZLHHntshfVPmTKFadOmMWbMGK6//nqOPvpoLrvsMk444QQuuugiNt54Y5544olu45s2bRrHHHMMhxxyCC+88AKLFy/m1ltv5Te/+Q1XX301gwcP5uijj+aMM85g77335sgjj+TKK69k88037zKe/mBCLUmS1Ea+853vcM455wAwd+5c7rjjDgYNGsQBBxzQ67KXXXYZBx544NJEe8SIEctNf/rpp7nmmms48MBlVbzPP/88ADvvvDOHH344Bx10EPvvv3+3z/H617+ek046iXnz5rH//vszZswYLr30UmbNmsWOO+4IwHPPPccGG2zAddddxy677MLmm2/eZTz9xYRakiSpTVxxxRVccsklXHvttQwdOpRdd92VhQsXMmTIEAYNGtTw+pcsWcLw4cOZPXv2CtOmTZvG9ddfz/nnn88OO+zArFmzWH/9Fe7hx3vf+14mTpzI+eefzz777MMPf/hDMpPDDjuMk08+ebl5zzvvvC7jWH311VmyZMnS4YULFzb2wnphDbUkSVKbePLJJ1lvvfUYOnQot912G9ddd12X8w0bNowFCxasMH733XdnxowZPPpocauQziUW66yzDptvvjkzZswAIDO58cYbgaK2euLEiZxwwgmMGjWKuXPndvncd911F1tssQWf+MQn2HfffbnpppvYY489OPvss3n44YeXPu+9997LpEmTuPLKK7n77ruXi2f06NHccMMNANxwww1LpzeLLdSSJElV6aNu7uo1efJkpk2bxlZbbcWWW27JpEmTupxvypQpTJ48mY022ojLL7986fixY8fy+c9/nje/+c0MGjSI7bbbjtNOO225Zc844wyOOuooTjzxRF588UUOPvhgxo0bx6c+9SnuuOMOMpM99tiDcePGdfncZ511Fr/4xS8YPHgwL3/5y/nc5z7HiBEjOPHEE9lzzz1ZsmQJgwcP5nvf+x6TJk1i+vTp7L///ixZsoQNNtiAiy++mAMOOIDTTz+dsWPHMnHiRF7zmtf02TbsSgzke6dMmDAhZ86cWXUYjfch2c8HkyRJqsatt97KVlttVXUY6kVX71NEzMrMCV3Nb8mHJEmS1ABLPiRJktTvLrroIj7zmc8sN27zzTdf2gPJQGJCLUmSpH631157sddee1UdRp+w5EOSJKkfDeTr19rBqrw/JtSSJEn9ZMiQITz66KMm1S0qM3n00UcZMmTISi1nyYckSVI/2WSTTZg3bx7z58+vOhR1Y8iQIWyyySYrtYwJtSRJUj8ZPHjw0ttk66XDkg9JkiSpASbUkiRJUgNMqCVJkqQGmFBLkiRJDTChliRJkhpgQi1JkiQ1wIRakiRJaoAJtSRJktQAE2pJkiSpASbUkiRJUgNMqCVJkqQGmFBLkiRJDTChliRJkhpgQi1JkiQ1wIRakiRJaoAJtSRJktQAE2pJkiSpASbUkiRJUgNMqCVJkqQGmFBLkiRJDTChliRJkhpgQi1JkiQ1wIRakiRJaoAJtSRJktQAE2pJkiSpASbUkiRJUgNMqCVJkqQGNC2hjohNI+LyiLglIuZExDHl+KkRcV9EzC7/9qlZ5rMRcWdE3B4RezUrNkmSJKmvrN7EdS8Cjs3MGyJiGDArIi4up30rM79RO3NEbA0cDIwFNgIuiYjXZObiJsYoSZIkNaRpLdSZ+UBm3lA+XgDcCmzcwyL7Ar/OzOcz827gTmCnZsUnSZIk9YVmtlAvFRGjge2A64GdgY9FxPuBmRSt2I9TJNvX1Sw2j54TcLWiqes2uPyTfROHJElSP2n6RYkRsTbwW+CTmfkU8APgVcB44AHglJVc35SImBkRM+fPn9/X4UqSJEkrpakJdUQMpkimz8jM3wFk5kOZuTgzlwA/YllZx33ApjWLb1KOW05mTs/MCZk5YdSoUc0MX5IkSepVM3v5COAnwK2Z+c2a8a+ome2dwD/Lx+cCB0fEGhGxOTAG+Fuz4pMkSZL6QjNrqHcGDgVujojZ5bjPAe+JiPFAAvcAHwbIzDkRcRZwC0UPIR+1hw9JkiS1uqYl1Jl5FRBdTLqgh2VOAk5qVkySJElSX/NOiZIkSVIDTKglSZKkBphQS5IkSQ0woZYkSZIaYEItSZIkNaBfbj3eykYff37D67hnSB8EIkmSpAGp7RNqLeOPC0mSpJVnyYckSZLUABNqSZIkqQGWfEjNMnXdBpd/sm/ikCRJTWULtSRJktQAE2pJkiSpASbUkiRJUgNMqCVJkqQGmFBLkiRJDTChliRJkhpgQi1JkiQ1wIRakiRJaoAJtSRJktQAE2pJkiSpASbUkiRJUgNMqCVJkqQGmFBLkiRJDTChliRJkhpgQi1JkiQ1wIRakiRJaoAJtSRJktQAE2pJkiSpASbUkiRJUgNMqCVJkqQGmFBLkiRJDTChliRJkhrQa0IdEcdExDpR+ElE3BARe/ZHcJIkSVKrq6eF+oOZ+RSwJ7AecCjw1aZGJUmSJA0Q9STUUf7fB/hFZs6pGSdJkiS1tXoS6lkR8WeKhPqiiBgGLGluWJIkSdLAsHod8xwBjAfuysxnI2J94ANNjUqSJEkaIOppoU5ga+AT5fBawJCmRSRJkiQNIPUk1N8HXg+8pxxeAHyvaRFJkiRJA0g9JR8TM3P7iPgHQGY+HhEva3JckiRJ0oBQTwv1ixExiKL0g4gYhRclSpIkSUB9CfV3gHOADSLiJOAq4CtNjUqSJEkaIHpNqDPzDODTwMnAA8B+mTmjt+UiYtOIuDwibomIORFxTDl+RERcHBF3lP/XK8dHRHwnIu6MiJsiYvvGXpokSZLUfPXcenwScF9mfi8zvwvcFxET61j3IuDYzNwamAR8NCK2Bo4HLs3MMcCl5TDA3sCY8m8K8IOVfjWSJElSP6un5OMHwNM1w09TR7KbmQ9k5g3l4wXArcDGwL7Az8vZfg7sVz7eFzg9C9cBwyPiFfW8CEmSJKkqdd16PDOzYyAzl1Bf7yDLVhAxGtgOuB7YMDMfKCc9CGxYPt4YmFuz2LxynCRJktSy6kmo74qIT0TE4PLvGOCuep8gItYGfgt8MjOfqp1WJurZ5YLdr29KRMyMiJnz589fmUUlSZKkPldPQv0R4A3AfRStxhMpapx7FRGDKZLpMzLzd+XohzpKOcr/D5fj7wM2rVl8k3LccjJzemZOyMwJo0aNqicMSZIkqWnq6eXj4cw8ODM3yMwNM/O9mflwb8tFRAA/AW7NzG/WTDoXOKx8fBjwh5rx7y97+5gEPFlTGiJJkiS1pF5rocsbuRwJjK6dPzM/2MuiOwOHAjdHxOxy3OeArwJnRcQRwL3AQeW0C4B9gDuBZ4EP1PsiJEmSpKrUc3HhH4C/ApcAi+tdcWZeBUQ3k/foYv4EPlrv+iVJkqRWUE9CPTQzP9P0SCRJkqQBqJ6LEv8YEfs0PRJJkiRpAKonoT6GIqleGBFPRcSCiHiq16UkSZKkNtBryUdmDuuPQCRJkqSBqNcW6rIbu/dFxH+Xw5tGxE7ND02SJElqffWUfHwfeD3w3nL4aeB7TYtIkiRJGkDq6eVjYmZuHxH/AMjMxyPiZU2OS5IkSRoQ6mmhfjEiBgEJS2/0sqSpUUmSJEkDRD0J9XeAc4ANIuIk4CrgK02NSpIkSRogeiz5iIjVgLuBT1Pc3TCA/TLz1n6ITZIkSWp5PSbUmbkkIr6XmdsBt/VTTJIkSdKAUU/Jx6URcUBERNOjkSRJkgaYehLqDwMzgOe9U6IkSZK0PO+UKEmSJDWg14Q6InbpanxmXtn34UiSJEkDSz03dvlUzeMhwE7ALGD3pkQkSZIkDSD1lHy8vXY4IjYFTm1WQJIkSdJAUs9FiZ3NA7bq60AkSZKkgaieGur/R3nbcYoEfDxwQxNjkiRJkgaMemqoZ9Y8XgT8KjOvblI8kiRJ0oBST0J9NrAwMxcDRMSgiBiamc82NzRJkiSp9dV1p0RgzZrhNYFLmhOOJEmSNLDUk1APycynOwbKx0ObF5IkSZI0cNSTUD8TEdt3DETEDsBzzQtJkiRJGjjqqaH+JDAjIu4HAng58O5mBiVJkiQNFPXc2OXvEfFaYMty1O2Z+WJzw5IkSZIGhl5LPiLio8BamfnPzPwnsHZEHN380CRJkqTWV08N9ZGZ+UTHQGY+DhzZtIgkSZKkAaSehHpQRETHQEQMAl7WvJAkSZKkgaOeixIvBH4TET8shz9cjpMkSZLaXj0J9WcokuijyuGLgR83LSJJkiRpAKmnl48lEfET4CogKXr5WNz0yCRJkqQBoNeEOiJ2BX4O3EPRD/WmEXFYZl7Z1MgkSZKkAaCeko9TgD0z83aAiHgN8Ctgh2YGJkmSJA0E9fTyMbgjmQbIzH8Bg5sXkiRJkjRw1NNCPTMifgz8shw+BJjZvJAkSZKkgaOehPoo4KPAJ8rhvwLfb1pEkiRJ0gBSTy8fzwPfLP8kSZIk1eg2oY6Iyym6yXssM9/VfyFJkiRJA0dPLdSHl//tc1qSJEnqRrcJdWbe25+BSK1k9PHnN7yOe4b0QSCSJKnl9VTysYCi5KNLmblOUyKSJEmSBpBu+6HOzGFl0vxt4HhgY2AT4DPAqb2tOCJ+GhEPR8Q/a8ZNjYj7ImJ2+bdPzbTPRsSdEXF7ROzVwGuSJEmS+k09N3Z5R2Z+PzMXZOZTmfkDYN86ljsNmNzF+G9l5vjy7wKAiNgaOBgYWy7z/YgYVN9LkCRJkqpTT0L9TEQcEhGDImK1iDgEeKa3hTLzSuCxOuPYF/h1Zj6fmXcDdwI71bmsJEmSVJl6Eur3AgcBD5V/B5bjVtXHIuKmsiRkvXLcxsDcmnnmleNWEBFTImJmRMycP39+A2FIkiRJjavnxi73UF+JRz1+AHyZ4mLHLwOnAB9cmRVk5nRgOsCECRO6vWhSUguZum6Dyz/ZN3FIktQE9dx6vM9k5kMdjyPiR8Afy8H7gE1rZt2kHCdJeilq9EcW+ENLUsvo14Q6Il6RmQ+Ug+8EOnoAORc4MyK+CWwEjAH+1p+xSZJUCX9cSANe0xLqiPgVsCswMiLmAV8Edo2I8RQlH/cAHwbIzDkRcRZwC7AI+GhmeodGSZIktbxeE+qI2BD4CrBRZu5ddnH3+sz8SU/LZeZ7uhjd7TKZeRJwUm/xSJIkSa2knl4+TgMuoijFAPgX8MkmxSNJkiQNKPUk1CMz8yxgCUBmLgIsx5AkSZKor4b6mYhYn6LumYiYBHj1gyStCrsQlLrnBZoaoOpJqP+LoheOV0XE1cAo4F1NjUqSJEkaIHpMqCNiEPDm8m9LIIDbM/PFfohNkiRJank91lCXXde9JzMXZeaczPynybQkSZK0TD0lH1dHxHeB3wDPdIzMzBuaFpUkSZI0QNSTUI8v/59QMy6B3fs8GkmSJGmA6TWhzszd+iMQSZIkaSDqtR/qiFg/Ir4TETdExKyI+HbZjZ4kSZLU9uq5scuvgfnAARTd5c2nqKeWJEmS2l49NdSvyMwv1wyfGBHvblZAkiRJ0kBSTwv1nyPi4IhYrfw7CLio2YFJkiRJA0G3LdQRsYCiN48APgn8spy0GvA0cFyzg5MkSZJaXbcJdWYO689AJEmSpIGonhpqImJbYHTt/Jn5uybFJKmFjD7+/IbXcc+QPghEktrJ1HX7YB1PNr4O1aXXhDoifgpsC8wBlpSjEzChliRJUturp4V6UmZu3fRIJEmSpAGonoT62ojYOjNvaXo0ktTCLH+RJHWlnoT6dIqk+kHgeYpePzIzt21qZJKkltXojwt/WEh6Kaknof4JcChwM8tqqCVJkiRRX0I9PzPPbXokkiRJ0gBUT0L9j4g4EziPouQDsNs8SZIkCepLqNekSKT3rBlnt3mSJEkSdSTUmfmB/ghEkiRJGohW622GiNgkIs6JiIfLv99GxCb9EZwkSZLU6npNqIGfAecCG5V/55XjJEmSpLZXT0I9KjN/lpmLyr/TgFFNjkuSJEkaEOpJqB+NiPdFxKDy733Ao80OTJIkSRoI6kmoPwgcBDwIPAC8C/BCRUmSJIn6evm4F3hHP8QiSZIkDTjdJtQR8T89LJeZ+eUmxCNJkiQNKD21UD/Txbi1gCOA9QETaklS2xt9/PkNLX/PkD4KRFJluk2oM/OUjscRMQw4hqJ2+tfAKd0tJ0mSJLWTHmuoI2IE8F/AIcDPge0z8/H+CEySJEkaCHqqof5fYH9gOrBNZj7db1FJkiRJA0RPLdTHAs8DXwA+HxEd44PiosR1mhybJEkaQKwnV7vqqYa6nj6qJUmSpLZm0ixJkiQ1wIRakiRJaoAJtSRJktSApiXUEfHTiHg4Iv5ZM25ERFwcEXeU/9crx0dEfCci7oyImyJi+2bFJUmSJPWlZrZQnwZM7jTueODSzBwDXFoOA+wNjCn/pgA/aGJckiRJUp9pWkKdmVcCj3UavS/FDWIo/+9XM/70LFwHDI+IVzQrNkmSJKmv9HcN9YaZ+UD5+EFgw/LxxsDcmvnmleMkSZKkllbZRYmZmUCu7HIRMSUiZkbEzPnz5zchMkmSJKl+/Z1QP9RRylH+f7gcfx+wac18m5TjVpCZ0zNzQmZOGDVqVFODlSRJknrT3wn1ucBh5ePDgD/UjH9/2dvHJODJmtIQSZIkqWV1e+vxRkXEr4BdgZERMQ/4IvBV4KyIOAK4FzionP0CYB/gTuBZ4APNikuSJEnqS01LqDPzPd1M2qOLeRP4aLNikSRJkprFOyVKkiRJDTChliRJkhpgQi1JkiQ1wIRakiRJaoAJtSRJktQAE2pJkiSpASbUkiRJUgNMqCVJkqQGNO3GLpIkSe1q9PHnN7T8PUP6KBD1C1uoJUmSpAaYUEuSJEkNsORDkiRJTdNw+ctX39pHkTSPLdSSJElSA0yoJUmSpAaYUEuSJEkNsIZakiRJrWvqun2wjicbX0cPbKGWJEmSGmBCLUmSJDXAhFqSJElqgAm1JEmS1AATakmSJKkBJtSSJElSA0yoJUmSpAaYUEuSJEkNMKGWJEmSGmBCLUmSJDXAhFqSJElqgAm1JEmS1AATakmSJKkBJtSSJElSA0yoJUmSpAaYUEuSJEkNMKGWJEmSGmBCLUmSJDXAhFqSJElqgAm1JEmS1AATakmSJKkBJtSSJElSA0yoJUmSpAaYUEuSJEkNMKGWJEmSGmBCLUmSJDVg9SqeNCLuARYAi4FFmTkhIkYAvwFGA/cAB2Xm41XEJ0mSJNWryhbq3TJzfGZOKIePBy7NzDHApeWwJEmS1NJaqeRjX+Dn5eOfA/tVF4okSZJUn6oS6gT+HBGzImJKOW7DzHygfPwgsGFXC0bElIiYGREz58+f3x+xSpIkSd2qpIYaeGNm3hcRGwAXR8RttRMzMyMiu1owM6cD0wEmTJjQ5TySJElSf6mkhToz7yv/PwycA+wEPBQRrwAo/z9cRWySJEnSyuj3hDoi1oqIYR2PgT2BfwLnAoeVsx0G/KG/Y5MkSZJWVhUlHxsC50REx/OfmZkXRsTfgbMi4gjgXuCgCmKTJEmSVkq/J9SZeRcwrovxjwJ79Hc8kiRJUiNaqds8SZIkacAxoZYkSZIaYEItSZIkNcCEWpIkSWqACbUkSZLUABNqSZIkqQEm1JIkSVIDTKglSZKkBphQS5IkSQ0woZYkSZIaYEItSZIkNcCEWpIkSWqACbUkSZLUABNqSZIkqQEm1JIkSVIDTKglSZKkBphQS5IkSQ0woZYkSZIaYEItSZIkNcCEWpIkSWqACbUkSZLUABNqSZIkqQEm1JIkSVIDTKglSZKkBphQS5IkSQ0woZYkSZIaYEItSZIkNcCEWpIkSWqACbUkSZLUABNqSZIkqQEm1JIkSVIDTKglSZKkBphQS5IkSQ0woZYkSZIaYEItSZIkNcCEWpIkSWqACbUkSZLUABNqSZIkqQEm1JIkSVIDTKglSZKkBphQS5IkSQ1ouYQ6IiZHxO0RcWdEHF91PJIkSVJPWiqhjohBwPeAvYGtgfdExNbVRiVJkiR1r6USamAn4M7MvCszXwB+DexbcUySJElSt1otod4YmFszPK8cJ0mSJLWkyMyqY1gqIt4FTM7MD5XDhwITM/NjNfNMAaaUg1sCt/d7oCsaCTxSdRAtwm2xjNtiGbfFMm6LgtthGbfFMm6LZdwWy7TKttgsM0d1NWH1/o6kF/cBm9YMb1KOWyozpwPT+zOo3kTEzMycUHUcrcBtsYzbYhm3xTJui4LbYRm3xTJui2XcFssMhG3RaiUffwfGRMTmEfEy4GDg3IpjkiRJkrrVUi3UmbkoIj4GXAQMAn6amXMqDkuSJEnqVksl1ACZeQFwQdVxrKSWKkGpmNtiGbfFMm6LZdwWBbfDMm6LZdwWy7gtlmn5bdFSFyVKkiRJA02r1VBLkiRJA4oJtSRJktQAE2pJkiSpASbUqygi1oyILauOo2oRsVZErFY+fk1EvCMiBlcdl6pVdn05pGZ4zYgYXWFIlYuIjSPiDRGxS8df1TFJrSAiflHPOLWfiNgsIt5SPl4zIoZVHVN3Wq6Xj4EgIt4OfAN4GbB5RIwHTsjMd1QaWDWuBN4UEesBf6boS/zdwCGVRtWPIuL/Ad1e3ZuZn+jHcFrFDOANNcOLy3E7VhNOtSLiaxTHxS0U2wKKfebKyoKqQES8BvgUsBk13z+ZuXtlQVUkIi4GDszMJ8rh9YBfZ+ZelQZWjbG1AxExCNiholgqFREHAhdm5oKI+AKwPXBiZt5QcWj9LiKOpLgz9gjgVRQ3+5sG7FFlXN0xoV41U4GdgCsAMnN2RGxeZUAVisx8NiKOAL6fmV+PiNlVB9XPZpb/dwa2Bn5TDh9IkUC1o9Uz84WOgcx8obxZU7vaD9gyM5+vOpCKzaD4QvwRy35YtKuRHck0QGY+HhEbVBhPv4uIzwKfA9aMiKc6RgMvMAC6SWuS/87MGRHxRuAtwP8CPwAmVhtWJT5KkWtdD5CZd7TyMWJCvWpezMwnI6J2XLv2PxgR8XqKFukjynGDKoyn32XmzwEi4ijgjZm5qByeBvy1ytgqND8i3pGZ5wJExL7AIxXHVKW7gMFAuyfUizLzB1UH0SKWRMQrM/P/oDi1TZt9j2TmycDJEXFyZn626nhaRMcPzbcC0zPz/Ig4scqAKvR82RgDQESsTgsfIybUq2ZORLwXGBQRY4BPANdUHFNVPgl8FjgnM+dExBbA5dWGVJn1gHWAx8rhtctx7egjwBkR8T2KD8B5wPurDalSzwKzI+JSapLqNiwHOi8ijgbOYfnt8Fj3i7xkfQ64KiL+QtEq+yaK09ttJzM/W5a8jAGG1Ixvq5Ko0n0R8UPgP4CvRcQatO/1bn+JiI4zGP8BHA2cV3FM3fLGLqsgIoYCnwf2pPggvAj4cmYurDQwVSoiPkBRDnQ5xX6xCzC1owW7HUXE2gCZ+XTVsVQpIg7rany77RsRcXcXozMzt+j3YCpUXsj9LuAyYFI5+rrMbMuzOBHxIeAYihrZ2RTb5No2ra0fCkwGbi5LHF4BbJOZf644tH5XHidHsHyu9eNs0cTVhLoBEbEOxZfBgqpj6W8RcWpmfjIizqOLUzBteoEmEfFyltW6XZ+ZD1YZT1UiYkPgK8BGmbl3RGwNvD4zf1JxaJWJiDWBV2bm7VXHoupFxMzMnFB1HK0gIm6muGD5uswcHxGvBb6SmftXHFq/i4hfZOahvY1rFwPpc7NdTyM0JCJ2LD8AbgJujogbI6Ldrkju6NLoG8ApXfy1q0HAfOBx4DVt3DXaaRStCRuVw/+iKA9qS2XPQLOBC8vh8RFxbqVBVSAihkbEFyJiejk8JiLeVnVcFbkkIo6LiE0jYkTHX9VBVWRhxxneiFgjM28D2rVb2rbu8SQi1q15/A4G0OemNdSr5ifA0Zn5V4DyatyfAdtWGlU/ysxZ5f+/VB1Lq6jpGm0OsKQc3XZdo5VGZuZZ5VX8ZOaiiGjnXh2msmLPQG1V5lD6GTCLZV0q3kfR88cfK4uoOu8u/3+0ZlwC7bhfzIuI4cDvgYsj4nHg3koj6mf2eLLUuyPiscw8G/giA6hHNRPqVbO4I5kGyMyrImJRlQFVpbwo82SK7uJqLyZpxy+F/bBrtA7PRMT6lOVAETEJeLLakCrVVc9AS7qb+SXsVZn57oh4D0DZ5Wb0ttBLUWa2bGLQ3zLzneXDqRFxObAu8KcKQ+p39nhSyMzpEfHf5eCA6lHNhHrV/KW8CvdXFG/uu4ErImJ7gDbrgP1nFL8ivwXsBnyA9i0lsmu0Zf4LOBd4VURcDYyiuAirXdkzUOGFsiay44fWq2jT4yUiuuz1JjNP7+9YqlZbI9xx1jOKOyW2Xd2wPZ5AZn65fDigPje9KHEVlL+gu5PtdGVyRMzKzB0i4ubM3KZ2XNWx9beI+C0wDmjrrtHKmr9PAP+Pog4ygNsz88VKA6uQPQMVyq6vvkBxRuvPFDdDOjwzr6gyripEcYfVDkMo7v52Q2a23Q/PiLghM7evGR5E0cvF1hWGVQl7PFlmoH1umlCrIRFxDfBG4GyKLqDuA76amW13QYldoy0TEX/LzJ2qjkOtpywFmkTxBdm2XcV1VtYQ/zozJ1cdS3+prRum6KsdauqG27H0wR5PBi4T6lVQXoX6RYp+hgH+ApyQmW1XIxoROwK3AsOBL1Pc2OR/M/O6KuNStSLiWxTlL78BnukY32blUHYvWYqI12bmbR1lcZ21237RlYgYDMzJzNdUHUt/i4ivAzcDW2TmlyLilcDLM/NvFYfW7yLi75m5Y0TMBiZm5vMRMSczx/a27EtNRLwGOA4YTU2Jcqu21ptQr4Ly1P4/gY6Wx0OBce34CzIiBteeyi8vMFq9HU/ve4HmMjVlUR0fMEGblUMBRMQOmTkrIt7c1fR26SUnIqZn5pRuyuXabr8A6NT912oUnxtnZebxFYXUr8resa7NzMURMY3iltu7Z+ZWZQ3xnzNzx2qj7H8RcQ7FtUifBHan6IJ1cGbuU2VcVYiIG4FpFD0DLe0lqqOXsVZjQr0KImJ2Zo7vbVw7iIhrgT07bm4Txc1u/kRxm+nBZX+ibSEirmLZBZpvp7xAMzP/p9LAKhARx1Ik0x2XZyfwFDAzM2dXFZeqE8Vdz16fmVdXHUsriIi/AZ8qBxcB/wd8LDM/U11U/Sci3kBRPz+lo4Y6Iv6RmduV02/MzHEVh1mp8of4usCf2rSRakBdj2UvH6vmuYh4Y2ZeBRAROwPPVRxTVdasvVNkZj4VEaOBA4AjKa5UbhdrZualERGZeS9FF1CzgLZLqCluRDCBoqePAN5GcSOkD0fEjMz8epXB9ZeyHrLbVovMbKe+65dExHeB7aqOpUWs3vkMRUTsDbRFQp2Z10RER930i+WFiB29v4yiPbuVtMeT5Z0XEUcD57D8hf6PVRdS90yoV81HgNNr7ujzONDlBWlt4JmIGJeZNwJExHbA3Mz8ekRsUHFs/e35shXujoj4GMUFmmtXHFNVNgG2z8ynASLii8D5FNcdzALaIqGm+CGhZS6NiAOA32Wbnh6NiKOAo4EtIuKmmknDgLZqva85W/UdiqRpg4g4iaKLzS9UFVfF2vpOiZ105FWfqhnXsjc/suRjJZU799cy87iyvIHMfKqXxV6yyosSfwXcT9ES+XLg4FatcWqmLi7QXBf4ejteoBkRtwHbdJymjIg1gBsz87W1p3XVXiJiAbAWRYnDQpbV1q9TaWD9qGyIWY/ieovaeukFrdry1h/K3iz2oNgnLs3MWysOqV/Z48nAZ0K9CiLiusycVHUcraK8Or2jm7y27m9YhfJOV+8E/lCOejtF+ccpFF8Oh1QVWxWiuFPk/wO2Al4GDAKeaadEUlLv7PFkeRHxOla80L8lb35kQr0KIuIHwMbADJbvEux3lQVVofLiktEs361NS+7wzRQREyg6od+M5bdF29TJ1iq3x87l4NWZObPKeKoUETOBgyk+MyZQXLT7mnZrdSp7SPoJcGFmtmWNrNSZPZ50rSwV3JUiob4A2Bu4qlVvfmRCvQoi4mddjM7M/GC/B1Ox8mKJV1Hc0amjW5tst7sDAkTE7RS1XjdTc0FNeYGi2lhEzMzMCRFxU8cPrHYsfYmIt1D0fjOJ4sfFzzLz9mqjkqpljyddKy/qHgf8IzPHRcSGwC8z8z8qDq1LXpS4CjLzA1XH0EImAFu36wVGnczPzHN7n01t6NmIeBkwuzyl+wBF38NtJTMvAS4p64jfUz6eC/yI4ovScjG1HXs86dZzZe9Ai8pr1h4GNq06qO6YUK+CsoW6q7uetV0LNcUNbl5OkSC0uy9GxI+BS1m+i5+2LAXScg6lSKA/BvwnxZdC290ICpbeevx9FNvkH8AZwBsprujftbrIpOrY40mXZkbEcIof3LOAp4FrK42oB5Z8rIKy26cOQyguvrq/TcscLgfGA39j+SSyLW6pXCsifgm8FpjDshaFtiwF0vIi4pjM/HZv417qyrvAbQn8AjgtMx+omTYzMydUFpzUItq9xxNYetflTTJzbjk8GlgnM2/qccEKmVD3gbLv4asy8w1Vx9Lf2v2WyrUi4vbM3LL3OdVuOuoiO41rxxrqgyguSHwqIr4AbA+cmJk3VByapBYTETdn5jZVx1EvSz76xhig3W5iArRn4tyDayJi68y8pepA1Boi4j3Ae4HNI6K2vn4Y0I59Dn8hM88qezV4C/C/wA+AidWGJakF3RARO2bm36sOpB4m1KugvDlBbdP+g8CnKwqnUvavu5xJFBed3U1R/tJx04q27DZPAFxDcX3BSIo+uDssoLgVe7vp6AnorRT9kZ8fESdWGZCkljUROCQi7qXoorilv1Mt+VgFZYnHIcDmmXlCO3e8bv+6y0TEZl2Nt9s8qRARfwTuA/6DotzjOeBv7dglmKTulTXUbwJW+P5s1e9UE+pVUN7YZQl2vG7/up2Up7LHZObPyu6O1s7Mu6uOS9WIiKsy841dnNVqu1tuA0TEUGAycHNm3hERr6C4Rf2fKw5NUouxhro9TOzoeB0gMx8v+5htR/avWyrv6jSBoheDnwGDgV+y7G6BajOZ+cby/7CqY2kFmfks8Lua4Qewy01JXRtQNdRtmfj0ATteX6a2f91nKPrXPaDHJV663gm8g/J29Jl5P8XFZ5IkaeVMBK6LiH9HxE0RcXNEtOy1J7ZQrxo7XgfKHxVfycxDgIXAlyoOqWovZGZGRMcPrbWqDkiSpAFqr6oDWBkm1KsgM8+IiFks63h9v3bseD0zF0fEZhHxssx8oep4WsBZEfFDYHhEHAl8kOIOT5IkaSVk5r1dXZdUdVzd8aJENSQiTqfoMu9cylIHgMz8ZmVBVSgi/gPYk+KH1kWZeXHFIUmSNODUXpeUma+JiI2AGZnZktclmVBrlUTELzLz0Ih4AvhW5+mZ2e7lH5IkaRVFxGxgO+CGjp7DansUazWWfGhV7VD+Wvw/ihu7tK0uukRbOok27BpNkqQ+MKCuSzKh1qqaBlwKbA7MrBkfFMnlFlUEVQW7RJMkqc91dV3SjyuOqVuWfKghEfGDzDyq6jiqFBEjepqemY/1VyySJL1UDKTrkkyopQZFxN0UrfJRM7pjODOzbVrrJUnqCxHxtcz8TG/jWoUJtdSHytbqMcCQjnGZ+ZfqIpIkaeCJiBsyc/tO47woUXqpi4gPAccAmwCzgUnANRT9lUuSpF5ExFHA0cAWne6MOAy4upqoemcLtdRHIuJmYEfguswcHxGvpbiT5P4VhyZJ0oAQEesC6wEnA8fXTFrQytck2UIt9Z2FmbkwIoiINTLztojYsuqgJEkaQDIz74mIj3aeEBEjWjWpNqGW+s68iBgO/B64OCIeB+6tNCJJkgaWM4G3AbPo+oL/lrzQ35IPqQki4s3AusCFmflC1fFIkqTmMaGWJElSS4iI7Xuanpk39FcsK8OEWpIkSS0hIi4vHw4BJgA3UpR9bAvMzMzXVxVbT1arOgBJkiQJIDN3y8zdgAeA7TNzQmbuAGwH3FdtdN0zoZYkSVKr2TIzb+4YyMx/AltVGE+P7OVDkiRJreamiPgx8Mty+BDgph7mr5Q11JIkSWopETEEOArYpRx1JfCDzFxYXVTdM6GWJElSy4mINYFXZubtVcfSG2uoJUmSVLnytuMdj98BzAYuLIfHR8S5FYXWKxNqSZIktYJ3R8S7ysdfBHYCngDIzNnA5tWE1TsTakmSJFUuM6ezrCePFzPzyc6z9HNIdbOXD0mSJLWEzPxy+XBORLwXGBQRY4BPANdUF1nPbKGWJElSq/k4MBZ4HjgTeBI4ptKIemBCLUmSpFazdfm3OsVtyPcF/l5pRD2w2zxJkiS1lIi4HTgO+CewpGN8Zt5bWVA9sIZakiRJrWZ+Zp5XdRD1soVakiRJLSUi9gDeA1xKUUcNQGb+rrKgemALtSRJklrNB4DXAoNZVvKRQEsm1LZQS5IkqaVExO2ZuWXVcdTLXj4kSZLUaq6JiK2rDqJetlBLkiSppUTErcCrgLspaqgDyMzcttLAumFCLUmSpJYSEZt1Nb5Vu80zoZYkSZIaYA21JEmS1AATakmSJKkBJtSS1MYiYteIeEPVcUjSQGZCLUntbVfAhFqSGuBFiZI0wEXEaOBC4DqK5PjvwM+ALwEbAIcAdwI/BbYAngWmAE+VyywG5gMfB14OfLEc92Rm7tKPL0WSBiQTakka4MqE+k5gO2AORUJ9I3AE8A6KW/jOBR7JzC9FxO7ANzNzfERMBZ7OzG+U67oZmJyZ90XE8Mx8or9fjyQNNJZ8SNJLw92ZeXNmLqFIqi/NosXkZmA08EbgFwCZeRmwfkSs08V6rgZOi4gjgUH9ErkkDXAm1JL00vB8zeMlNcNLgNXrXUlmfgT4ArApMCsi1u+zCCXpJcqEWpLaw18paqmJiF0pyj+eAhYAwzpmiohXZeb1mfk/FHXVm/Z/qJI0sNTdaiFJGtCmAj+NiJsoLko8rBx/HnB2ROxLcVHif0bEGCCASylqsSVJPfCiREmSJKkBlnxIkiRJDTChliRJkhpgQi1JkiQ1wIRakiRJaoAJtSRJktQAE2pJkiSpASbUkiRJUgNMqCVJkqQG/H/RmIU9bQPx/wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Stat desc du nombre d'articles humanitaires et securitaire par nationalité\n",
    "word_to_eliminate = [\"l'\",\"la\",\"de\",\"-\",\"l'\",\"l'\",\"l’\",\"la\",\"le\"]\n",
    "stat = stat.loc[~(stat.mots.isin(word_to_eliminate))]\n",
    "for journal in stat.journal.unique():\n",
    "    data = stat.loc[stat.journal==journal,[\"mots\",\"articles_huma\",\"articles_secu\"]].groupby(\"mots\").sum()\n",
    "    \n",
    "    data.sort_values(\"articles_huma\",ascending=False).head(10).plot(kind='bar', figsize=(12, 6))\n",
    "    plt.title(f'{journal} : Top 10 des nationalités les plus fréquentes dand les articles humanitaires')\n",
    "    plt.ylabel('Nombre d\\'occurences')\n",
    "    \n",
    "    data.sort_values(\"articles_secu\",ascending=False).head(10).plot(kind='bar', figsize=(12, 6))\n",
    "    plt.title(f'{journal} : Top 10 des nationalités les plus fréquentes dand les articles sécuritaire')\n",
    "    plt.ylabel('Nombre d\\'occurences')\n",
    "    \n",
    "    plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}