Data Cleaning TP1-E.ipynb

{
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   "cell_type": "markdown",
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   "source": [
    "\n",
    "<img src=\"Tp1.png\">\n",
    "\n",
    "\n",
    "### Importer les bibliothèques **numpy** et **pandas** et importer functools de reduce"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importer les bibliothèques nécessaires\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PART I"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Explorer la dataset `BL-Flickr-Images-Book.csv` \n",
    "\n",
    "**NB:** faites attentionsau chemin\n",
    "\n",
    "## 1 Exploration du dataset"
   ]
  },
  {
   "cell_type": "code",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Identifier</th>\n",
       "      <th>Edition Statement</th>\n",
       "      <th>Place of Publication</th>\n",
       "      <th>Date of Publication</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>Title</th>\n",
       "      <th>Author</th>\n",
       "      <th>Contributors</th>\n",
       "      <th>Corporate Author</th>\n",
       "      <th>Corporate Contributors</th>\n",
       "      <th>Former owner</th>\n",
       "      <th>Engraver</th>\n",
       "      <th>Issuance type</th>\n",
       "      <th>Flickr URL</th>\n",
       "      <th>Shelfmarks</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>206</td>\n",
       "      <td>NaN</td>\n",
       "      <td>London</td>\n",
       "      <td>1879 [1878]</td>\n",
       "      <td>S. Tinsley &amp; Co.</td>\n",
       "      <td>Walter Forbes. [A novel.] By A. A</td>\n",
       "      <td>A. A.</td>\n",
       "      <td>FORBES, Walter.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>monographic</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "      <td>British Library HMNTS 12641.b.30.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>216</td>\n",
       "      <td>NaN</td>\n",
       "      <td>London; Virtue &amp; Yorston</td>\n",
       "      <td>1868</td>\n",
       "      <td>Virtue &amp; Co.</td>\n",
       "      <td>All for Greed. [A novel. The dedication signed...</td>\n",
       "      <td>A., A. A.</td>\n",
       "      <td>BLAZE DE BURY, Marie Pauline Rose - Baroness</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>monographic</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "      <td>British Library HMNTS 12626.cc.2.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>218</td>\n",
       "      <td>NaN</td>\n",
       "      <td>London</td>\n",
       "      <td>1869</td>\n",
       "      <td>Bradbury, Evans &amp; Co.</td>\n",
       "      <td>Love the Avenger. By the author of “All for Gr...</td>\n",
       "      <td>A., A. A.</td>\n",
       "      <td>BLAZE DE BURY, Marie Pauline Rose - Baroness</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>monographic</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "      <td>British Library HMNTS 12625.dd.1.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>London</td>\n",
       "      <td>1851</td>\n",
       "      <td>James Darling</td>\n",
       "      <td>Welsh Sketches, chiefly ecclesiastical, to the...</td>\n",
       "      <td>A., E. S.</td>\n",
       "      <td>Appleyard, Ernest Silvanus.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>monographic</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "      <td>British Library HMNTS 10369.bbb.15.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>480</td>\n",
       "      <td>A new edition, revised, etc.</td>\n",
       "      <td>London</td>\n",
       "      <td>1857</td>\n",
       "      <td>Wertheim &amp; Macintosh</td>\n",
       "      <td>[The World in which I live, and my place in it...</td>\n",
       "      <td>A., E. S.</td>\n",
       "      <td>BROOME, John Henry.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>monographic</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "      <td>British Library HMNTS 9007.d.28.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "   Identifier             Edition Statement      Place of Publication  \\\n",
       "0         206                           NaN                    London   \n",
       "1         216                           NaN  London; Virtue & Yorston   \n",
       "2         218                           NaN                    London   \n",
       "3         472                           NaN                    London   \n",
       "4         480  A new edition, revised, etc.                    London   \n",
       "\n",
       "  Date of Publication              Publisher  \\\n",
       "0         1879 [1878]       S. Tinsley & Co.   \n",
       "1                1868           Virtue & Co.   \n",
       "2                1869  Bradbury, Evans & Co.   \n",
       "3                1851          James Darling   \n",
       "4                1857   Wertheim & Macintosh   \n",
       "\n",
       "                                               Title     Author  \\\n",
       "0                  Walter Forbes. [A novel.] By A. A      A. A.   \n",
       "1  All for Greed. [A novel. The dedication signed...  A., A. A.   \n",
       "2  Love the Avenger. By the author of “All for Gr...  A., A. A.   \n",
       "3  Welsh Sketches, chiefly ecclesiastical, to the...  A., E. S.   \n",
       "4  [The World in which I live, and my place in it...  A., E. S.   \n",
       "\n",
       "                                   Contributors  Corporate Author  \\\n",
       "0                               FORBES, Walter.               NaN   \n",
       "1  BLAZE DE BURY, Marie Pauline Rose - Baroness               NaN   \n",
       "2  BLAZE DE BURY, Marie Pauline Rose - Baroness               NaN   \n",
       "3                   Appleyard, Ernest Silvanus.               NaN   \n",
       "4                           BROOME, John Henry.               NaN   \n",
       "\n",
       "   Corporate Contributors Former owner  Engraver Issuance type  \\\n",
       "0                     NaN          NaN       NaN   monographic   \n",
       "1                     NaN          NaN       NaN   monographic   \n",
       "2                     NaN          NaN       NaN   monographic   \n",
       "3                     NaN          NaN       NaN   monographic   \n",
       "4                     NaN          NaN       NaN   monographic   \n",
       "\n",
       "                                          Flickr URL  \\\n",
       "0  http://www.flickr.com/photos/britishlibrary/ta...   \n",
       "1  http://www.flickr.com/photos/britishlibrary/ta...   \n",
       "2  http://www.flickr.com/photos/britishlibrary/ta...   \n",
       "3  http://www.flickr.com/photos/britishlibrary/ta...   \n",
       "4  http://www.flickr.com/photos/britishlibrary/ta...   \n",
       "\n",
       "                            Shelfmarks  \n",
       "0    British Library HMNTS 12641.b.30.  \n",
       "1    British Library HMNTS 12626.cc.2.  \n",
       "2    British Library HMNTS 12625.dd.1.  \n",
       "3  British Library HMNTS 10369.bbb.15.  \n",
       "4     British Library HMNTS 9007.d.28.  "
      ]
     },
     "execution_count": 10,
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   ],
   "source": [
    "# Exporter BL-Flickr-Images-Book.csv dans un data frame nomé df\n",
    "df = pd.read_csv('Datasets/BL-Flickr-Images-Book.csv')\n",
    "\n",
    "# Afficher les 5 premières lignes\n",
    "df.head()\n"
   ]
  },
  {
   "cell_type": "code",
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   "metadata": {},
   "source": [
    "## 2 Jeter un coup d'oeil dans le dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 8287 entries, 0 to 8286\n",
      "Data columns (total 15 columns):\n",
      "Identifier                8287 non-null int64\n",
      "Edition Statement         773 non-null object\n",
      "Place of Publication      8287 non-null object\n",
      "Date of Publication       8106 non-null object\n",
      "Publisher                 4092 non-null object\n",
      "Title                     8287 non-null object\n",
      "Author                    6509 non-null object\n",
      "Contributors              8287 non-null object\n",
      "Corporate Author          0 non-null float64\n",
      "Corporate Contributors    0 non-null float64\n",
      "Former owner              1 non-null object\n",
      "Engraver                  0 non-null float64\n",
      "Issuance type             8287 non-null object\n",
      "Flickr URL                8287 non-null object\n",
      "Shelfmarks                8287 non-null object\n",
      "dtypes: float64(3), int64(1), object(11)\n",
      "memory usage: 971.2+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3 Qu'est ce que vous remarquez?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Rédiger votre réponse\n",
    "#Il ya des donnés qui sont vides et des donnés qui sont nulls\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4 Dropping unnecessary columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nous allons restreindre l'étude à seulement 7 colomnes pour cela nous allons supprimer 7 colonnes que nous jugeons unitiles por le moment :\n",
    "```Python\n",
    "to_drop = ['Edition Statement',\n",
    "           'Corporate Author',\n",
    "           'Corporate Contributors',\n",
    "           'Former owner',\n",
    "           'Engraver',\n",
    "           'Contributors',\n",
    "           'Issuance type',\n",
    "           'Shelfmarks']```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
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       "      <td>206</td>\n",
       "      <td>London</td>\n",
       "      <td>1879 [1878]</td>\n",
       "      <td>S. Tinsley &amp; Co.</td>\n",
       "      <td>Walter Forbes. [A novel.] By A. A</td>\n",
       "      <td>A. A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>216</td>\n",
       "      <td>London; Virtue &amp; Yorston</td>\n",
       "      <td>1868</td>\n",
       "      <td>Virtue &amp; Co.</td>\n",
       "      <td>All for Greed. [A novel. The dedication signed...</td>\n",
       "      <td>A., A. A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>218</td>\n",
       "      <td>London</td>\n",
       "      <td>1869</td>\n",
       "      <td>Bradbury, Evans &amp; Co.</td>\n",
       "      <td>Love the Avenger. By the author of “All for Gr...</td>\n",
       "      <td>A., A. A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>472</td>\n",
       "      <td>London</td>\n",
       "      <td>1851</td>\n",
       "      <td>James Darling</td>\n",
       "      <td>Welsh Sketches, chiefly ecclesiastical, to the...</td>\n",
       "      <td>A., E. S.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>480</td>\n",
       "      <td>London</td>\n",
       "      <td>1857</td>\n",
       "      <td>Wertheim &amp; Macintosh</td>\n",
       "      <td>[The World in which I live, and my place in it...</td>\n",
       "      <td>A., E. S.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "   Identifier      Place of Publication Date of Publication  \\\n",
       "0         206                    London         1879 [1878]   \n",
       "1         216  London; Virtue & Yorston                1868   \n",
       "2         218                    London                1869   \n",
       "3         472                    London                1851   \n",
       "4         480                    London                1857   \n",
       "\n",
       "               Publisher                                              Title  \\\n",
       "0       S. Tinsley & Co.                  Walter Forbes. [A novel.] By A. A   \n",
       "1           Virtue & Co.  All for Greed. [A novel. The dedication signed...   \n",
       "2  Bradbury, Evans & Co.  Love the Avenger. By the author of “All for Gr...   \n",
       "3          James Darling  Welsh Sketches, chiefly ecclesiastical, to the...   \n",
       "4   Wertheim & Macintosh  [The World in which I live, and my place in it...   \n",
       "\n",
       "      Author                                         Flickr URL  \n",
       "0      A. A.  http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "1  A., A. A.  http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "2  A., A. A.  http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "3  A., E. S.  http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "4  A., E. S.  http://www.flickr.com/photos/britishlibrary/ta...  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
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   "source": [
    "to_drop = ['Edition Statement',\n",
    "           'Corporate Author',\n",
    "           'Corporate Contributors',\n",
    "           'Former owner',\n",
    "           'Engraver',\n",
    "           'Contributors',\n",
    "           'Issuance type',\n",
    "           'Shelfmarks']\n",
    "\n",
    "#Eliminer les colonnes dans la liste de to_drop du dataframe df\n",
    "df.drop(columns=to_drop, inplace = True)\n",
    "\n",
    "#Afficherle résultat\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5 Setting the index of the dataset\n",
    "Changer l'index pourqu'ille prenne la valeur de l'identifiant `Identifier`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
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       "      <th>Place of Publication</th>\n",
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       "      <th>Publisher</th>\n",
       "      <th>Title</th>\n",
       "      <th>Author</th>\n",
       "      <th>Flickr URL</th>\n",
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       "    <tr>\n",
       "      <th>Identifier</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>London</td>\n",
       "      <td>1879 [1878]</td>\n",
       "      <td>S. Tinsley &amp; Co.</td>\n",
       "      <td>Walter Forbes. [A novel.] By A. A</td>\n",
       "      <td>A. A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>London; Virtue &amp; Yorston</td>\n",
       "      <td>1868</td>\n",
       "      <td>Virtue &amp; Co.</td>\n",
       "      <td>All for Greed. [A novel. The dedication signed...</td>\n",
       "      <td>A., A. A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>London</td>\n",
       "      <td>1869</td>\n",
       "      <td>Bradbury, Evans &amp; Co.</td>\n",
       "      <td>Love the Avenger. By the author of “All for Gr...</td>\n",
       "      <td>A., A. A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>London</td>\n",
       "      <td>1851</td>\n",
       "      <td>James Darling</td>\n",
       "      <td>Welsh Sketches, chiefly ecclesiastical, to the...</td>\n",
       "      <td>A., E. S.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>London</td>\n",
       "      <td>1857</td>\n",
       "      <td>Wertheim &amp; Macintosh</td>\n",
       "      <td>[The World in which I live, and my place in it...</td>\n",
       "      <td>A., E. S.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "                Place of Publication Date of Publication  \\\n",
       "Identifier                                                 \n",
       "206                           London         1879 [1878]   \n",
       "216         London; Virtue & Yorston                1868   \n",
       "218                           London                1869   \n",
       "472                           London                1851   \n",
       "480                           London                1857   \n",
       "\n",
       "                        Publisher  \\\n",
       "Identifier                          \n",
       "206              S. Tinsley & Co.   \n",
       "216                  Virtue & Co.   \n",
       "218         Bradbury, Evans & Co.   \n",
       "472                 James Darling   \n",
       "480          Wertheim & Macintosh   \n",
       "\n",
       "                                                        Title     Author  \\\n",
       "Identifier                                                                 \n",
       "206                         Walter Forbes. [A novel.] By A. A      A. A.   \n",
       "216         All for Greed. [A novel. The dedication signed...  A., A. A.   \n",
       "218         Love the Avenger. By the author of “All for Gr...  A., A. A.   \n",
       "472         Welsh Sketches, chiefly ecclesiastical, to the...  A., E. S.   \n",
       "480         [The World in which I live, and my place in it...  A., E. S.   \n",
       "\n",
       "                                                   Flickr URL  \n",
       "Identifier                                                     \n",
       "206         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "216         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "218         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "472         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "480         http://www.flickr.com/photos/britishlibrary/ta...  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "###Changerl'index \n",
    "df.set_index('Identifier', inplace=True)\n",
    "\n",
    "###Afficher le résultat\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6 Donner un appérçu sur la colonne `Date of Publication` \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Identifier\n",
       "206            1879 [1878]\n",
       "216                   1868\n",
       "218                   1869\n",
       "472                   1851\n",
       "480                   1857\n",
       "481                   1875\n",
       "519                   1872\n",
       "667                    NaN\n",
       "874                   1676\n",
       "1143                  1679\n",
       "1280                  1802\n",
       "1808                  1859\n",
       "1905                  1888\n",
       "1929           1839, 38-54\n",
       "2836                  1897\n",
       "2854                  1865\n",
       "2956               1860-63\n",
       "2957                  1873\n",
       "3017                  1866\n",
       "3131                  1899\n",
       "4598                  1814\n",
       "4884                  1820\n",
       "4976                  1800\n",
       "5382    1847, 48 [1846-48]\n",
       "5385               [1897?]\n",
       "Name: Date of Publication, dtype: object"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### Afficher  les 25 premières valeurs de Date of Publication\n",
    "df['Date of Publication'].head(25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Remarque : Observer la date de publication qui correspond à l'index 206.\n",
    "> Ca nécessite un nettoyage et une correction : il faut éliminer certains symboles "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7 Cleaning columns using the `.apply` function\n",
    "\n",
    "### Ecrire une fonction qui permet de nettoyer la colonne des dates "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "unwanted_characters = ['[', ',', '-']\n",
    "# Completer la fonction suivante\n",
    "def clean_dates(item):\n",
    "    dop= str(item.loc['Date of Publication'])\n",
    "    \n",
    "    if dop == 'nan' or dop[0] == '[':\n",
    "        return 'NaN'\n",
    "    \n",
    "    for character in unwanted_characters:\n",
    "        if character in dop:\n",
    "            character_index = dop.find(character)\n",
    "            dop = dop[:character_index]\n",
    "    \n",
    "    return dop\n",
    "\n",
    "df['Date of Publication'] = df.apply(clean_dates, axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Place of Publication</th>\n",
       "      <th>Date of Publication</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>Title</th>\n",
       "      <th>Author</th>\n",
       "      <th>Flickr URL</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Identifier</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>London</td>\n",
       "      <td>1879</td>\n",
       "      <td>S. Tinsley &amp; Co.</td>\n",
       "      <td>Walter Forbes. [A novel.] By A. A</td>\n",
       "      <td>A. A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>London; Virtue &amp; Yorston</td>\n",
       "      <td>1868</td>\n",
       "      <td>Virtue &amp; Co.</td>\n",
       "      <td>All for Greed. [A novel. The dedication signed...</td>\n",
       "      <td>A., A. A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>London</td>\n",
       "      <td>1869</td>\n",
       "      <td>Bradbury, Evans &amp; Co.</td>\n",
       "      <td>Love the Avenger. By the author of “All for Gr...</td>\n",
       "      <td>A., A. A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>London</td>\n",
       "      <td>1851</td>\n",
       "      <td>James Darling</td>\n",
       "      <td>Welsh Sketches, chiefly ecclesiastical, to the...</td>\n",
       "      <td>A., E. S.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>London</td>\n",
       "      <td>1857</td>\n",
       "      <td>Wertheim &amp; Macintosh</td>\n",
       "      <td>[The World in which I live, and my place in it...</td>\n",
       "      <td>A., E. S.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Place of Publication Date of Publication  \\\n",
       "Identifier                                                 \n",
       "206                           London               1879    \n",
       "216         London; Virtue & Yorston                1868   \n",
       "218                           London                1869   \n",
       "472                           London                1851   \n",
       "480                           London                1857   \n",
       "\n",
       "                        Publisher  \\\n",
       "Identifier                          \n",
       "206              S. Tinsley & Co.   \n",
       "216                  Virtue & Co.   \n",
       "218         Bradbury, Evans & Co.   \n",
       "472                 James Darling   \n",
       "480          Wertheim & Macintosh   \n",
       "\n",
       "                                                        Title     Author  \\\n",
       "Identifier                                                                 \n",
       "206                         Walter Forbes. [A novel.] By A. A      A. A.   \n",
       "216         All for Greed. [A novel. The dedication signed...  A., A. A.   \n",
       "218         Love the Avenger. By the author of “All for Gr...  A., A. A.   \n",
       "472         Welsh Sketches, chiefly ecclesiastical, to the...  A., E. S.   \n",
       "480         [The World in which I live, and my place in it...  A., E. S.   \n",
       "\n",
       "                                                   Flickr URL  \n",
       "Identifier                                                     \n",
       "206         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "216         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "218         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "472         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "480         http://www.flickr.com/photos/britishlibrary/ta...  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "      <th></th>\n",
       "      <th>Place of Publication</th>\n",
       "      <th>Date of Publication</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>Title</th>\n",
       "      <th>Author</th>\n",
       "      <th>Flickr URL</th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>London</td>\n",
       "      <td>1879</td>\n",
       "      <td>S. Tinsley &amp; Co.</td>\n",
       "      <td>Walter Forbes. [A novel.] By A. A</td>\n",
       "      <td>A. A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>London; Virtue &amp; Yorston</td>\n",
       "      <td>1868</td>\n",
       "      <td>Virtue &amp; Co.</td>\n",
       "      <td>All for Greed. [A novel. The dedication signed...</td>\n",
       "      <td>A., A. A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>London</td>\n",
       "      <td>1869</td>\n",
       "      <td>Bradbury, Evans &amp; Co.</td>\n",
       "      <td>Love the Avenger. By the author of “All for Gr...</td>\n",
       "      <td>A., A. A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>London</td>\n",
       "      <td>1851</td>\n",
       "      <td>James Darling</td>\n",
       "      <td>Welsh Sketches, chiefly ecclesiastical, to the...</td>\n",
       "      <td>A., E. S.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>London</td>\n",
       "      <td>1857</td>\n",
       "      <td>Wertheim &amp; Macintosh</td>\n",
       "      <td>[The World in which I live, and my place in it...</td>\n",
       "      <td>A., E. S.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>London</td>\n",
       "      <td>1875</td>\n",
       "      <td>William Macintosh</td>\n",
       "      <td>[The World in which I live, and my place in it...</td>\n",
       "      <td>A., E. S.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>519</th>\n",
       "      <td>London</td>\n",
       "      <td>1872</td>\n",
       "      <td>The Author</td>\n",
       "      <td>Lagonells. By the author of Darmayne (F. E. A....</td>\n",
       "      <td>A., F. E.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>667</th>\n",
       "      <td>pp. 40. G. Bryan &amp; Co: Oxford, 1898</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The Coming of Spring, and other poems. By J. A...</td>\n",
       "      <td>A., J.|A., J.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>874</th>\n",
       "      <td>London]</td>\n",
       "      <td>1676</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A Warning to the inhabitants of England, and L...</td>\n",
       "      <td>Remaʿ.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1143</th>\n",
       "      <td>London</td>\n",
       "      <td>1679</td>\n",
       "      <td>NaN</td>\n",
       "      <td>A Satyr against Vertue. (A poem: supposed to b...</td>\n",
       "      <td>A., T.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Place of Publication Date of Publication  \\\n",
       "Identifier                                                            \n",
       "206                                      London               1879    \n",
       "216                    London; Virtue & Yorston                1868   \n",
       "218                                      London                1869   \n",
       "472                                      London                1851   \n",
       "480                                      London                1857   \n",
       "481                                      London                1875   \n",
       "519                                      London                1872   \n",
       "667         pp. 40. G. Bryan & Co: Oxford, 1898                 NaN   \n",
       "874                                     London]                1676   \n",
       "1143                                     London                1679   \n",
       "\n",
       "                        Publisher  \\\n",
       "Identifier                          \n",
       "206              S. Tinsley & Co.   \n",
       "216                  Virtue & Co.   \n",
       "218         Bradbury, Evans & Co.   \n",
       "472                 James Darling   \n",
       "480          Wertheim & Macintosh   \n",
       "481             William Macintosh   \n",
       "519                    The Author   \n",
       "667                           NaN   \n",
       "874                           NaN   \n",
       "1143                          NaN   \n",
       "\n",
       "                                                        Title         Author  \\\n",
       "Identifier                                                                     \n",
       "206                         Walter Forbes. [A novel.] By A. A          A. A.   \n",
       "216         All for Greed. [A novel. The dedication signed...      A., A. A.   \n",
       "218         Love the Avenger. By the author of “All for Gr...      A., A. A.   \n",
       "472         Welsh Sketches, chiefly ecclesiastical, to the...      A., E. S.   \n",
       "480         [The World in which I live, and my place in it...      A., E. S.   \n",
       "481         [The World in which I live, and my place in it...      A., E. S.   \n",
       "519         Lagonells. By the author of Darmayne (F. E. A....      A., F. E.   \n",
       "667         The Coming of Spring, and other poems. By J. A...  A., J.|A., J.   \n",
       "874         A Warning to the inhabitants of England, and L...         Remaʿ.   \n",
       "1143        A Satyr against Vertue. (A poem: supposed to b...         A., T.   \n",
       "\n",
       "                                                   Flickr URL  \n",
       "Identifier                                                     \n",
       "206         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "216         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "218         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "472         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "480         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "481         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "519         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "667         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "874         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "1143        http://www.flickr.com/photos/britishlibrary/ta...  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Voici une autre méthode\n",
    "#exécuter pour voir le résultat\n",
    "unwanted_characters = ['[', ',', '-']\n",
    "\n",
    "def clean_dates(dop):\n",
    "    dop = str(dop)\n",
    "    if dop.startswith('[') or dop == 'nan':\n",
    "        return 'NaN'\n",
    "    for character in unwanted_characters:\n",
    "        if character in dop:\n",
    "            character_index = dop.find(character)\n",
    "            dop = dop[:character_index]\n",
    "    return dop\n",
    "\n",
    "df['Date of Publication'] = df['Date of Publication'].apply(clean_dates)\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8 Observer la collone `Author`\n",
    "### Completer la fonction `clean_author_names`qui permet de corriger les valeurs de cet colonne"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# compléter la fonction suivante ( à la place de pass)\n",
    "from functools import reduce\n",
    "def clean_author_names(author):\n",
    "    \n",
    "    author = str(author)\n",
    "    \n",
    "    if author == 'nan':\n",
    "        return 'NaN'\n",
    "    \n",
    "    author = author.split(',')\n",
    "\n",
    "    if len(author) == 1:\n",
    "        name = filter(lambda x: x.isalpha(), author[0])\n",
    "        return reduce(lambda x, y: x + y, name)\n",
    "    \n",
    "    last_name, first_name = author[0], author[1]\n",
    "\n",
    "    first_name = first_name[:first_name.find('-')] if '-' in first_name else first_name\n",
    "    \n",
    "    if first_name.endswith(('.', '.|')):\n",
    "        parts = first_name.split('.')\n",
    "        \n",
    "        if len(parts) > 1:\n",
    "            first_occurence = first_name.find('.')\n",
    "            final_occurence = first_name.find('.', first_occurence + 1)\n",
    "            first_name= first_name[:final_occurence]\n",
    "            \n",
    "        else:\n",
    "            first_name= first_name[:first_name.find('.')]\n",
    "    \n",
    "    last_name = last_name.capitalize()\n",
    "    \n",
    "    return f'{first_name} {last_name}'\n",
    "\n",
    "\n",
    "df['Author'] = df['Author'].apply(clean_author_names)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Résultat attendu \n",
    "<img src=\"Datasets\\capture42.png\">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>London</td>\n",
       "      <td>1879</td>\n",
       "      <td>S. Tinsley &amp; Co.</td>\n",
       "      <td>Walter Forbes. [A novel.] By A. A</td>\n",
       "      <td>AA</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>London; Virtue &amp; Yorston</td>\n",
       "      <td>1868</td>\n",
       "      <td>Virtue &amp; Co.</td>\n",
       "      <td>All for Greed. [A novel. The dedication signed...</td>\n",
       "      <td>A. A A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>London</td>\n",
       "      <td>1869</td>\n",
       "      <td>Bradbury, Evans &amp; Co.</td>\n",
       "      <td>Love the Avenger. By the author of “All for Gr...</td>\n",
       "      <td>A. A A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>London</td>\n",
       "      <td>1851</td>\n",
       "      <td>James Darling</td>\n",
       "      <td>Welsh Sketches, chiefly ecclesiastical, to the...</td>\n",
       "      <td>E. S A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>London</td>\n",
       "      <td>1857</td>\n",
       "      <td>Wertheim &amp; Macintosh</td>\n",
       "      <td>[The World in which I live, and my place in it...</td>\n",
       "      <td>E. S A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Place of Publication Date of Publication  \\\n",
       "Identifier                                                 \n",
       "206                           London               1879    \n",
       "216         London; Virtue & Yorston                1868   \n",
       "218                           London                1869   \n",
       "472                           London                1851   \n",
       "480                           London                1857   \n",
       "\n",
       "                        Publisher  \\\n",
       "Identifier                          \n",
       "206              S. Tinsley & Co.   \n",
       "216                  Virtue & Co.   \n",
       "218         Bradbury, Evans & Co.   \n",
       "472                 James Darling   \n",
       "480          Wertheim & Macintosh   \n",
       "\n",
       "                                                        Title    Author  \\\n",
       "Identifier                                                                \n",
       "206                         Walter Forbes. [A novel.] By A. A        AA   \n",
       "216         All for Greed. [A novel. The dedication signed...   A. A A.   \n",
       "218         Love the Avenger. By the author of “All for Gr...   A. A A.   \n",
       "472         Welsh Sketches, chiefly ecclesiastical, to the...   E. S A.   \n",
       "480         [The World in which I live, and my place in it...   E. S A.   \n",
       "\n",
       "                                                   Flickr URL  \n",
       "Identifier                                                     \n",
       "206         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "216         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "218         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "472         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "480         http://www.flickr.com/photos/britishlibrary/ta...  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##  Observer la colone `title`\n",
    "### 9 Completer la fonction `clean_title`qui permet de corriger les valeurs de cet colonne"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Résultat attendu \n",
    " <img src=\"Datasets/capture43.png\">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>Place of Publication</th>\n",
       "      <th>Date of Publication</th>\n",
       "      <th>Publisher</th>\n",
       "      <th>Title</th>\n",
       "      <th>Author</th>\n",
       "      <th>Flickr URL</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Identifier</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>London</td>\n",
       "      <td>1879</td>\n",
       "      <td>S. Tinsley &amp; Co.</td>\n",
       "      <td>Walter Forbes</td>\n",
       "      <td>AA</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>London; Virtue &amp; Yorston</td>\n",
       "      <td>1868</td>\n",
       "      <td>Virtue &amp; Co.</td>\n",
       "      <td>All For Greed</td>\n",
       "      <td>A. A A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>London</td>\n",
       "      <td>1869</td>\n",
       "      <td>Bradbury, Evans &amp; Co.</td>\n",
       "      <td>Love The Avenger</td>\n",
       "      <td>A. A A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>London</td>\n",
       "      <td>1851</td>\n",
       "      <td>James Darling</td>\n",
       "      <td>Welsh Sketches, Chiefly Ecclesiastical, To The...</td>\n",
       "      <td>E. S A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>London</td>\n",
       "      <td>1857</td>\n",
       "      <td>Wertheim &amp; Macintosh</td>\n",
       "      <td>The World In Which I Live, And My Place In It</td>\n",
       "      <td>E. S A.</td>\n",
       "      <td>http://www.flickr.com/photos/britishlibrary/ta...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Place of Publication Date of Publication  \\\n",
       "Identifier                                                 \n",
       "206                           London               1879    \n",
       "216         London; Virtue & Yorston                1868   \n",
       "218                           London                1869   \n",
       "472                           London                1851   \n",
       "480                           London                1857   \n",
       "\n",
       "                        Publisher  \\\n",
       "Identifier                          \n",
       "206              S. Tinsley & Co.   \n",
       "216                  Virtue & Co.   \n",
       "218         Bradbury, Evans & Co.   \n",
       "472                 James Darling   \n",
       "480          Wertheim & Macintosh   \n",
       "\n",
       "                                                        Title    Author  \\\n",
       "Identifier                                                                \n",
       "206                                             Walter Forbes        AA   \n",
       "216                                             All For Greed   A. A A.   \n",
       "218                                          Love The Avenger   A. A A.   \n",
       "472         Welsh Sketches, Chiefly Ecclesiastical, To The...   E. S A.   \n",
       "480             The World In Which I Live, And My Place In It   E. S A.   \n",
       "\n",
       "                                                   Flickr URL  \n",
       "Identifier                                                     \n",
       "206         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "216         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "218         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "472         http://www.flickr.com/photos/britishlibrary/ta...  \n",
       "480         http://www.flickr.com/photos/britishlibrary/ta...  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## complétrer la fonction suivante ( à la place de pass)\n",
    "\n",
    "def clean_title(title):\n",
    "    \n",
    "    if title == 'nan':\n",
    "        return 'NaN'\n",
    "    \n",
    "    if title[0] == '[':\n",
    "        title = title[1: title.find(']')]\n",
    "        \n",
    "    if 'by' in title:\n",
    "        title = title[1: title.find('by')]\n",
    "                      \n",
    "    elif 'By' in title:\n",
    "        title = title[:title.find('By')]\n",
    "        \n",
    "    if '[' in title:\n",
    "        title = title[:title.find('[')]\n",
    "\n",
    "    title = title[:-2]\n",
    "        \n",
    "    title = list(map(str.capitalize, title.split()))\n",
    "    return ' '.join(title)\n",
    "    \n",
    "df['Title'] = df['Title'].apply(clean_title)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PART II\n",
    "## 1 Cleaning entire dataset\n",
    "### On considère le fichier suivant 'university_towns.txt'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Alabama[edit]\r\n",
      "Auburn (Auburn University)[1]\r\n",
      "Florence (University of North Alabama)\r\n",
      "Jacksonville (Jacksonville State University)[2]\r\n",
      "Livingston (University of West Alabama)[2]\r\n",
      "Montevallo (University of Montevallo)[2]\r\n",
      "Troy (Troy University)[2]\r\n",
      "Tuscaloosa (University of Alabama, Stillman College, Shelton State)[3][4]\r\n",
      "Tuskegee (Tuskegee University)[5]\r\n",
      "Alaska[edit]\r\n"
     ]
    }
   ],
   "source": [
    "!head Datasets/university_towns.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Alabama[edit]\n",
      "Auburn (Auburn University)[1]\n",
      "Florence (University of North Alabama)\n",
      "Jacksonville (Jacksonville State University)[2]\n",
      "Livingston (University of West Alabama)[2]\n",
      "Montevallo (University of Montevallo)[2]\n",
      "Troy (Troy University)[2]\n",
      "Tuscaloosa (University of Alabama, Stillman College, Shelton State)[3][4]\n",
      "Tuskegee (Tuskegee University)[5]\n",
      "Alaska[edit]\n",
      "Fairbanks (University of Alaska Fairbanks)[2]\n",
      "Arizona[edit]\n",
      "Flagstaff (Northern Arizona University)[6]\n",
      "Tempe (Arizona State University)\n",
      "Tucson (University of Arizona)\n",
      "Arkansas[edit]\n",
      "Arkadelphia (Henderson State University, Ouachita Baptist University)[2]\n",
      "Conway (Central Baptist College, Hendrix College, University of Central Arkansas)[2]\n",
      "Fayetteville (University of Arkansas)[7]\n",
      "Jonesboro (Arkansas State University)[8]\n",
      "Magnolia (Southern Arkansas University)[2]\n",
      "Monticello (University of Arkansas at Monticello)[2]\n",
      "Russellville (Arkansas Tech University)[2]\n",
      "Searcy (Harding University)[5]\n",
      "California[edit]\n",
      "Angwin (Pacific Union College)[2]\n",
      "Arcata (Humboldt State University)[5]\n",
      "Berkeley (University of California, Berkeley)[5]\n",
      "Chico (California State University, Chico)[2]\n",
      "Claremont (Claremont McKenna College, Pomona College, Harvey Mudd College, Scripps College, Pitzer College, Keck Graduate Institute, Claremont Graduate University)[5]\n",
      "Cotati (California State University, Sonoma)[2]\n",
      "Davis (University of California, Davis)[1]\n",
      "Irvine (University of California, Irvine)\n",
      "Isla Vista (University of California, Santa Barbara)[2]\n",
      "University Park, Los Angeles (University of Southern California)\n",
      "Merced (University of California, Merced)\n",
      "Orange (Chapman University)\n",
      "Palo Alto (Stanford University)\n",
      "Pomona (Cal Poly Pomona, WesternU)[9][10][11] and formerly Pomona College\n",
      "Redlands (University of Redlands)\n",
      "Riverside (University of California, Riverside, California Baptist University, La Sierra University)\n",
      "Sacramento (California State University, Sacramento)\n",
      "University District, San Bernardino (California State University, San Bernardino, American Sports University)\n",
      "San Diego (University of California, San Diego, San Diego State University)\n",
      "San Luis Obispo (California Polytechnic State University)[2]\n",
      "Santa Barbara (Fielding Graduate University, Santa Barbara City College, University of California, Santa Barbara, Westmont College)[2]\n",
      "Santa Cruz (University of California, Santa Cruz)[2]\n",
      "Turlock (California State University, Stanislaus)\n",
      "Westwood, Los Angeles (University of California, Los Angeles)[2]\n",
      "Whittier (Whittier CollegeRio Hondo College)\n",
      "Colorado[edit]\n",
      "Alamosa (Adams State College)[2]\n",
      "Boulder (University of Colorado at Boulder)[12]\n",
      "Durango (Fort Lewis College)[2]\n",
      "Fort Collins (Colorado State University)[13]\n",
      "Golden (Colorado School of Mines)\n",
      "Grand Junction (Colorado Mesa University)\n",
      "Greeley (University of Northern Colorado)\n",
      "Gunnison (Western State College)[2]\n",
      "Pueblo, Colorado (Colorado State University-Pueblo)\n",
      "Connecticut[edit]\n",
      "Fairfield (Fairfield University, Sacred Heart University)\n",
      "Middletown (Wesleyan University)\n",
      "New Britain (Central Connecticut State University)\n",
      "New Haven (Yale University, University of New Haven, Southern Connecticut State University, Albertus Magnus College, Quinnipiac University)[14]\n",
      "New London (Connecticut College, US Coast Guard Academy, Mitchell College)[2]\n",
      "Storrs (University of Connecticut)[2]\n",
      "Willimantic (Eastern Connecticut State University)[2]\n",
      "Delaware[edit]\n",
      "Dover (Delaware State University)[1]\n",
      "Newark (University of Delaware)[1]\n",
      "Florida[edit]\n",
      "Ave Maria (Ave Maria University)\n",
      "Boca Raton (Florida Atlantic University)\n",
      "Coral Gables (University of Miami)\n",
      "DeLand (Stetson University)[5]\n",
      "Estero (Florida Gulf Coast University)\n",
      "Gainesville (University of Florida, Santa Fe College)\n",
      "Orlando (University of Central Florida)\n",
      "Sarasota (New College of Florida, Ringling College of Art and Design, State College of Florida, Manatee-Sarasota, University of South Florida Sarasota-Manatee)\n",
      "St. Augustine (Flagler College)\n",
      "St. Leo (St. Leo University)\n",
      "Tallahassee (Florida State University, Florida A&M University)\n",
      "Tampa (University of South Florida)\n",
      "Georgia[edit]\n",
      "Albany (Albany State University)\n",
      "Athens (University of Georgia)[15]\n",
      "Atlanta (Georgia State University, Georgia Tech, Emory)[2]\n",
      "Carrollton (University of West Georgia)[2]*Dahlonega (North Georgia College & State University)[2]\n",
      "Demorest (Piedmont College)[2]\n",
      "Fort Valley (Fort Valley State University)[2]\n",
      "Kennesaw (Kennesaw State University)\n",
      "Milledgeville (Georgia College & State University)[2]\n",
      "Mount Vernon (Brewton-Parker College)[2]\n",
      "Oxford (Oxford College)\n",
      "Rome (Berry College, Shorter University)\n",
      "Savannah (Armstrong Atlantic State University, Savannah State University, Savannah College of Art and Design)\n",
      "Statesboro (Georgia Southern University)[5]\n",
      "Valdosta (Valdosta State University)[2]\n",
      "Waleska (Reinhardt College)[2]\n",
      "Young Harris (Young Harris College)[2]\n",
      "Hawaii[edit]\n",
      "Manoa (University of Hawaii at Manoa)[2]\n",
      "Idaho[edit]\n",
      "Moscow (University of Idaho)[2]\n",
      "Pocatello (Idaho State University)[2]\n",
      "Rexburg (BYU-Idaho)[2]\n",
      "Illinois[edit]\n",
      "Carbondale (Southern Illinois University Carbondale)[5]\n",
      "Champaignâ€“Urbana (University of Illinois at Urbanaâ€“Champaign)[5]\n",
      "Charleston (Eastern Illinois University)[2]\n",
      "DeKalb (Northern Illinois University)[2]\n",
      "Edwardsville (Southern Illinois University Edwardsville)[2]\n",
      "Evanston (Northwestern University)[2]\n",
      "Lebanon (McKendree University)[2]\n",
      "Macomb (Western Illinois University)[2]\n",
      "Normal (Illinois State University)[2]\n",
      "Peoria (Bradley University)\n",
      "Indiana[edit]\n",
      "Bloomington (Indiana University Bloomington)[5]\n",
      "Crawfordsville (Wabash College)\n",
      "Greencastle (DePauw University)[5]\n",
      "Hanover (Hanover College)[2]\n",
      "Marion (Indiana Wesleyan University)[2]\n",
      "Muncie (Ball State University)[2]\n",
      "Oakland City (Oakland City University)[2]\n",
      "Richmond (Earlham College)[2]\n",
      "South Bend (Notre Dame University[2])\n",
      "Terre Haute (Indiana State University, Rose-Hulman Institute of Technology)[2]\n",
      "Upland (Taylor University)[2]\n",
      "Valparaiso (Valparaiso University)\n",
      "West Lafayette (Purdue University)[2]\n",
      "Iowa[edit]\n",
      "Ames (Iowa State University)[2]\n",
      "Cedar Falls (University of Northern Iowa)[2]\n",
      "Cedar Rapids, Iowa (Coe College )\n",
      "Decorah (Luther College)[5]\n",
      "Fayette (Upper Iowa University)[2]\n",
      "Grinnell (Grinnell College)[15]\n",
      "Iowa City (University of Iowa)[15]\n",
      "Lamoni (Graceland University)[2]\n",
      "Mount Vernon, (Cornell College)\n",
      "Orange City (Northwestern College)[2]\n",
      "Sioux Center (Dordt College)[2]\n",
      "Storm Lake (Buena Vista University)[2]\n",
      "Waverly (Wartburg College)[2]\n",
      "Kansas[edit]\n",
      "Baldwin City (Baker University)[5]\n",
      "Emporia (Emporia State University)[2]\n",
      "Hays (Fort Hays State University)[2]\n",
      "Lawrence (University of Kansas, Haskell Indian Nations University)[15]\n",
      "Manhattan (Kansas State University, Manhattan Christian College)[15]\n",
      "Pittsburg (Pittsburg State University)[2]\n",
      "Kentucky[edit]\n",
      "Bowling Green (Western Kentucky University)[2]\n",
      "Columbia (Lindsey Wilson College)[2]\n",
      "Georgetown (Georgetown College)\n",
      "Highland Heights (Northern Kentucky University)\n",
      "Lexington (University of Kentucky, Transylvania University[5]\n",
      "Louisville (University of Louisville)\n",
      "Morehead (Morehead State University)[2]\n",
      "Murray (Murray State University)[5]\n",
      "Richmond (Eastern Kentucky University)[2]\n",
      "Williamsburg (University of the Cumberlands)[2]\n",
      "Wilmore (Asbury University, Asbury Theological Seminary)[2]\n",
      "Louisiana[edit]\n",
      "Baton Rouge (Louisiana State University, Southern University)\n",
      "Grambling (Grambling State University)[5]\n",
      "Hammond (Southeastern Louisiana University)[2]\n",
      "Lafayette (University of Louisiana at Lafayette)\n",
      "Monroe (University of Louisiana at Monroe)[2]\n",
      "Natchitoches (Northwestern State University)[2]\n",
      "Ruston (Louisiana Tech University)[2]\n",
      "Thibodaux (Nicholls State University)[2]\n",
      "Maine[edit]\n",
      "Augusta (University of Maine at Augusta)[2]\n",
      "Bar Harbor (College of the Atlantic)\n",
      "Brunswick (Bowdoin College)\n",
      "Farmington (University of Maine at Farmington)[2]\n",
      "Fort Kent (University of Maine at Fort Kent)\n",
      "Gorham (University of Southern Maine)[2]\n",
      "Lewiston, Maine (Bates College)\n",
      "Orono (University of Maine)[2]\n",
      "Waterville (Thomas College, Colby College)\n",
      "Maryland[edit]\n",
      "Annapolis (United States Naval Academy, St. John's College)\n",
      "Chestertown (Washington College)[2]\n",
      "College Park (University of Maryland, College Park)[16]\n",
      "Cumberland (Allegany College of Maryland)\n",
      "Emmitsburg (Mount St. Mary's University)[2]\n",
      "Frostburg (Frostburg State University)[5]\n",
      "Princess Anne (University of Maryland Eastern Shore)[5]\n",
      "Towson (Towson University, Goucher College)[2]\n",
      "Salisbury (Salisbury University)[2]\n",
      "Westminster (McDaniel College)\n",
      "Massachusetts[edit]\n",
      "Boston (Boston University, Boston College, Boston Conservatory, New England Conservatory, Brandeis University, Northeastern University, UMass Boston, Emmanuel College, Bunker Hill Community College, Roxbury Community College, Suffolk University, Simmons College, among many others)\n",
      "Bridgewater (Bridgewater State College)[2]\n",
      "Cambridge (Harvard University, Massachusetts Institute of Technology)(Lesley University, Cambridge College, Longy School of Music)[15]\n",
      "Chestnut Hill (Boston College)\n",
      "The Colleges of Worcester Consortium:\n",
      "Dudley (Nichols College)\n",
      "North Grafton (Cummings School of Veterinary Medicine at Tufts University)\n",
      "Paxton (Anna Maria College)\n",
      "Worcester (Assumption, Becker, Clark University, Holy Cross, Mass. College of Pharmacy & Health Sciences, Quinsigamond Community College, UMass Medical School, Worcester State University, Worcester Polytechnic Institute)\n",
      "The Five College Region of Western Massachusetts:\n",
      "Amherst (Amherst College, Hampshire College, University of Massachusetts Amherst)[15]\n",
      "Northampton (Smith College)\n",
      "South Hadley (Mount Holyoke College)\n",
      "Fitchburg (Fitchburg State College)\n",
      "North Adams (Massachusetts College of Liberal Arts)\n",
      "Springfield (American International College), (Springfield College), and (Western New England College)\n",
      "Waltham (Bentley University), (Brandeis University)\n",
      "Williamstown (Williams College)\n",
      "Framingham (Framingham State University)\n",
      "Michigan[edit]\n",
      "Adrian (Adrian College, Siena Heights University)\n",
      "Albion (Albion College)[17]\n",
      "Allendale (Grand Valley State University)\n",
      "Alma (Alma College)\n",
      "Ann Arbor (University of Michigan)[1]\n",
      "Berrien Springs (Andrews University)[2]\n",
      "Big Rapids (Ferris State University)[2]\n",
      "East Lansing (Michigan State University)[2]\n",
      "Flint (Kettering University, University of Michigan-Flint)\n",
      "Hillsdale (Hillsdale College)\n",
      "Houghton (Michigan Technological University)[5]\n",
      "Kalamazoo (Western Michigan University, Kalamazoo College)[2]\n",
      "Marquette (Northern Michigan University)[2]\n",
      "Midland (Northwood University)\n",
      "Mount Pleasant (Central Michigan University)[2]\n",
      "Olivet (Olivet College)[2]\n",
      "Saginaw (Saginaw Valley State University)\n",
      "Sault Ste. Marie (Lake Superior State University)\n",
      "Spring Arbor (Spring Arbor University)[2]\n",
      "Ypsilanti (Eastern Michigan University)[2]\n",
      "Minnesota[edit]\n",
      "Bemidji (Bemidji State University)[2]\n",
      "Crookston (University of Minnesota Crookston)[2]\n",
      "Duluth (University of Minnesota Duluth, Lake Superior College, The College of St. Scholastica, University of Wisconsinâ€“Superior, Duluth Business University\n",
      "Faribault, South Central College\n",
      "Mankato (Minnesota State University, Mankato),[2] Bethany Lutheran College\n",
      "Marshall (Southwest Minnesota State University)[2]\n",
      "Moorhead (Minnesota State University, Moorhead, Concordia College)[18]\n",
      "Morris (University of Minnesota Morris)[2]\n",
      "Northfield (Carleton College, St. Olaf College)[5]\n",
      "North Mankato, South Central College\n",
      "St. Cloud (St. Cloud State University, The College of St. Scholastica)[2]\n",
      "St. Joseph (College of Saint Benedict)[2]\n",
      "St. Peter (Gustavus Adolphus College)[2]\n",
      "Winona (Winona State University, St. Mary's University of Minnesota)[19]\n",
      "Mississippi[edit]\n",
      "Cleveland (Delta State University)[2]\n",
      "Hattiesburg (University of Southern Mississippi)[20]\n",
      "Itta Bena (Mississippi Valley State University)[2]\n",
      "Oxford (University of Mississippi)[2]\n",
      "Starkville (Mississippi State University)[2]\n",
      "Missouri[edit]\n",
      "Bolivar (Southwest Baptist University)[2]\n",
      "Cape Girardeau (Southeast Missouri State University)[2]\n",
      "Columbia (University of Missouri, Stephens College, Columbia College)[20]\n",
      "Fayette (Central Methodist University)[2]\n",
      "Fulton (Westminster College and William Woods University).\n",
      "Kirksville (Truman State University, A. T. Still University)[2]\n",
      "Maryville (Northwest Missouri State University)[2]\n",
      "Rolla (Missouri University of Science and Technology)[2]\n",
      "Warrensburg (University of Central Missouri)[5]\n",
      "Montana[edit]\n",
      "Bozeman (Montana State University)[2]\n",
      "Dillon (University of Montana Western)[2]\n",
      "Missoula (University of Montana)[5]\n",
      "Nebraska[edit]\n",
      "Chadron (Chadron State College)[5]\n",
      "Crete (Doane College)[2]\n",
      "Kearney (University of Nebraska at Kearney)[2]\n",
      "Lincoln (University of Nebraska at Lincoln)[5]\n",
      "Peru (Peru State College)[2]\n",
      "Seward (Concordia University)[2]\n",
      "Wayne (Wayne State College)[2]\n",
      "Nevada[edit]\n",
      "Las Vegas (University of Nevada, Las Vegas)\n",
      "Reno (University of Nevada, Reno)\n",
      "New Hampshire[edit]\n",
      "New London, New Hampshire (Colby-Sawyer College)\n",
      "Durham (University of New Hampshire)[2]\n",
      "Hanover (Dartmouth College)[5]\n",
      "Henniker (New England College)\n",
      "Keene (Keene State College)[2]\n",
      "Plymouth (Plymouth State University)[2]\n",
      "Rindge (Franklin Pierce University)\n",
      "New Jersey[edit]\n",
      "Ewing (The College of New Jersey), (Rider University)\n",
      "Jersey City (New Jersey City University), (Saint Peter's University)\n",
      "Glassboro (Rowan University)[2]\n",
      "Hoboken (Stevens Institute of Technology)\n",
      "Madison (Drew University), (Fairleigh Dickinson University), (College of Saint Elizabeth)\n",
      "Newark (Rutgers University), (New Jersey Institute of Technology), (UMDNJ)\n",
      "New Brunswick (Rutgers University)[5]\n",
      "Princeton (Princeton University)[5]\n",
      "Union (Kean University)\n",
      "West Long Branch (Monmouth University)\n",
      "New Mexico[edit]\n",
      "Hobbs (University of the Southwest)[2]\n",
      "Las Cruces (New Mexico State University)[2]\n",
      "Las Vegas (New Mexico Highlands University)[2]\n",
      "Portales (Eastern New Mexico University)[2]\n",
      "Silver City (Western New Mexico University)[2]\n",
      "New York[edit]\n",
      "Alfred (Alfred University, Alfred State College)[2]\n",
      "Albany (SUNY Albany, Siena College, Albany College of Pharmacy, Albany Law School, Albany Medical College, College of Saint Rose, Excelsior College, Maria College of Albany, Mildred Elley, Sage College of Albany)\n",
      "Aurora (Wells College)[21]\n",
      "Binghamton (Binghamton University)[2]\n",
      "Brockport (SUNY Brockport)[5]\n",
      "Buffalo (University at Buffalo)\n",
      "Canton (St. Lawrence University, SUNY Canton)[2]\n",
      "Clinton (Hamilton College)[2]\n",
      "Cobleskill (SUNY Cobleskill)[2]\n",
      "Delhi (SUNY Delhi)[2]\n",
      "Fredonia (SUNY Fredonia)[2]\n",
      "Geneseo (SUNY Geneseo)[2]\n",
      "Geneva (Hobart and William Smith Colleges)\n",
      "Hamilton (Colgate University)[2]\n",
      "Ithaca (Cornell University, Ithaca College)[1]\n",
      "Morningside Heights, Manhattan (Columbia University, Barnard College, Teachers College, Manhattan School of Music, Jewish Theological Seminary, Union Theological Seminary, Bank Street College of Education)\n",
      "New Paltz (SUNY New Paltz)[2]\n",
      "Oneonta (SUNY Oneonta, Hartwick College)[2]\n",
      "Oswego (SUNY Oswego)[2]\n",
      "Plattsburgh (SUNY Plattsburgh)[2]\n",
      "Potsdam (SUNY Potsdam, Clarkson University)[2]\n",
      "Poughkeepsie (Vassar College, Marist College)[2]\n",
      "Purchase (Purchase College, Manhattanville College)[2]\n",
      "Rochester (University of Rochester, Rochester Institute of Technology, Nazareth College, St. John Fisher College, Monroe Community College, Roberts Wesleyan College, SUNY Brockport, SUNY Empire State College)[2]\n",
      "Saratoga Springs (Skidmore College)[2]\n",
      "Seneca Falls (New York Chiropractic College)\n",
      "Stony Brook (Stony Brook University)\n",
      "Syracuse (Syracuse University, SUNY ESF, Upstate Medical University)\n",
      "Tivoli (Bard College)\n",
      "Troy (Rensselaer Polytechnic Institute, Russell Sage College, Hudson Valley Community College)\n",
      "West Point (United States Military Academy)\n",
      "North Carolina[edit]\n",
      "Banner Elk (Lees-McRae College)\n",
      "Boiling Springs (Gardner-Webb University)[2]\n",
      "Boone (Appalachian State University)[2]\n",
      "Buies Creek (Campbell University)[2]\n",
      "Chapel Hill (University of North Carolina at Chapel Hill)[20]\n",
      "Cullowhee (Western Carolina University)[2]\n",
      "Davidson (Davidson College)[5]\n",
      "Durham (Duke University, North Carolina Central University)[5]\n",
      "Elon (Elon University)[2]\n",
      "Greensboro (University of North Carolina at Greensboro, Greensboro College, Guilford College, North Carolina A & T State University, Bennett College)\n",
      "Greenville (East Carolina University)[2]\n",
      "Hickory (Lenoir-Rhyne University)[2]\n",
      "Mars Hill (Mars Hill College)[2]\n",
      "Mount Olive (Mount Olive College)[2]\n",
      "Pembroke (University of North Carolina at Pembroke)[2]\n",
      "Wilmington, North Carolina (University of North Carolina at Wilmington)\n",
      "Wingate (Wingate University)[2]\n",
      "Winston-Salem (Wake Forest University, University of North Carolina School of the Arts, Salem College, Winston-Salem State University)\n",
      "North Dakota[edit]\n",
      "Fargo (North Dakota State University)[18]\n",
      "Grand Forks (University of North Dakota)[5]\n",
      "Ohio[edit]\n",
      "Ada (Ohio Northern University)[2]\n",
      "Alliance (University of Mount Union)\n",
      "Ashland (Ashland University)[2]\n",
      "Athens (Ohio University)[2]\n",
      "Berea (Baldwin Wallace College)\n",
      "Bluffton (Bluffton University)[2]\n",
      "Bowling Green (Bowling Green State University)[2]\n",
      "Cedarville (Cedarville University)[2]\n",
      "Columbus (Ohio State University)\n",
      "Delaware (Ohio Wesleyan University)\n",
      "Fairborn (Wright State University)\n",
      "Findlay (University of Findlay)\n",
      "Gambier (Kenyon College)[2]\n",
      "Granville (Denison University)[2]\n",
      "Hiram (Hiram College)[2]\n",
      "Kent (Kent State University)[2]\n",
      "Nelsonville (Hocking College)[2]\n",
      "New Concord (Muskingum College)[2]\n",
      "Oberlin (Oberlin College)[5]\n",
      "Oxford (Miami University)[5]\n",
      "Rio Grande (University of Rio Grande)[2]\n",
      "Wilberforce (Wilberforce University, Central State University)[2]\n",
      "Oklahoma[edit]\n",
      "Ada (East Central University)[2]\n",
      "Alva (Northwestern Oklahoma State University)[2]\n",
      "Durant (Southeastern Oklahoma State University)[2]\n",
      "Edmond (University of Central Oklahoma, Oklahoma Christian University)[2]\n",
      "Goodwell (Oklahoma Panhandle State University)[2]\n",
      "Langston (Langston University)[5]\n",
      "Norman (University of Oklahoma)[1]\n",
      "Stillwater (Oklahoma State University)[5]\n",
      "Tahlequah (Northeastern State University)[2]\n",
      "Tulsa (The University of Tulsa)\n",
      "Weatherford (Southwestern Oklahoma State University)\n",
      "Oregon[edit]\n",
      "Ashland (Southern Oregon University)[2]\n",
      "Corvallis (Oregon State University)[20]\n",
      "Eugene (Lane Community College, Northwest Christian University, University of Oregon)[20]\n",
      "Forest Grove (Pacific University)\n",
      "Klamath Falls (Klamath Community College, Oregon Institute of Technology)\n",
      "La Grande (Eastern Oregon University)[2]\n",
      "Marylhurst (Marylhurst University)\n",
      "McMinnville (Linfield College)\n",
      "Monmouth (Western Oregon University)[2]\n",
      "Newberg (George Fox University)\n",
      "Pennsylvania[edit]\n",
      "Altoona (Penn State Altoona)\n",
      "Annville (Lebanon Valley College)[2]\n",
      "Bethlehem (Lehigh University, Moravian College)\n",
      "Bloomsburg (Bloomsburg University of Pennsylvania)[2]\n",
      "Bradford (University of Pittsburgh at Bradford)\n",
      "California (California University of Pennsylvania)[2]\n",
      "Carlisle (Dickinson College)\n",
      "Cecil B. Moore, Philadelphia, also known as \"Templetown\" (Temple University)\n",
      "Clarion (Clarion University of Pennsylvania)[2]\n",
      "Collegeville (Ursinus College)\n",
      "Cresson (Mount Aloysius College)[2]\n",
      "East Stroudsburg (East Stroudsburg University of Pennsylvania)[2]\n",
      "Edinboro (Edinboro University of Pennsylvania)[2]\n",
      "Erie (Gannon University, Mercyhurst College, Penn State Erie)\n",
      "Gettysburg (Gettysburg College)[2]\n",
      "Greensburg (Seton Hill University, University of Pittsburgh at Greensburg)\n",
      "Grove City (Grove City College)[2]\n",
      "Huntingdon (Juniata College)[2]\n",
      "Indiana (Indiana University of Pennsylvania)[2]\n",
      "Johnstown (University of Pittsburgh at Johnstown)\n",
      "Kutztown (Kutztown University of Pennsylvania)[2]\n",
      "Lancaster (Franklin & Marshall)\n",
      "Lewisburg (Bucknell University)[5]\n",
      "Lock Haven (Lock Haven University of Pennsylvania)[2]\n",
      "Loretto (St. Francis University)[2]\n",
      "Mansfield (Mansfield University of Pennsylvania)[2]\n",
      "Meadville (Allegheny College)\n",
      "Mont Alto (Penn State Mont Alto)\n",
      "Millersville (Millersville University of Pennsylvania)[2]\n",
      "New Wilmington (Westminster College)[2]\n",
      "North East (Mercyhurst North East)\n",
      "University City, Philadelphia (Drexel University, University of Pennsylvania, University of the Sciences in Philadelphia)\n",
      "Oakland, Pittsburgh (Carnegie Mellon University, University of Pittsburgh, Carlow University)\n",
      "Reading (Albright College, Alvernia University, Penn State Berks)\n",
      "Selinsgrove (Susquehanna University)[2]\n",
      "Shippensburg (Shippensburg University of Pennsylvania)[2]\n",
      "Slippery Rock (Slippery Rock University of Pennsylvania)[2]\n",
      "State College (Pennsylvania State University)[22]\n",
      "Villanova (Villanova University)\n",
      "Waynesburg (Waynesburg University)\n",
      "West Chester (West Chester University of Pennsylvania)\n",
      "Wilkes-Barre (King's College, Wilkes University)\n",
      "Williamsport (Lycoming College, Pennsylvania College of Technology)[2]\n",
      "Rhode Island[edit]\n",
      "Kingston (University of Rhode Island)[2]\n",
      "Providence (Brown University, (University of Rhode Island), Rhode Island School of Design, Johnson and Wales University, Providence College, Community College of Rhode Island, Rhode Island College, and Roger Williams University.)\n",
      "South Carolina[edit]\n",
      "Central (Southern Wesleyan University)[2]\n",
      "Charleston (College of Charleston, The Citadel, MUSC)\n",
      "Clemson (Clemson University)[2]\n",
      "Clinton (Presbyterian College)\n",
      "Columbia (University of South Carolina)[14]\n",
      "Due West (Erskine College)\n",
      "Florence (Francis Marion University)\n",
      "Greenwood (Lander University)\n",
      "Orangeburg (South Carolina State University, Claflin University)[2]\n",
      "Rock Hill (Winthrop University)\n",
      "Spartanburg (Wofford College, Converse College, University of South Carolina Upstate, Spartanburg Methodist College, Edward Via College of Osteopathic Medicine, Spartanburg Community College, Virginia College, Sherman College of Chiropractic)\n",
      "South Dakota[edit]\n",
      "Brookings (South Dakota State University)[2]\n",
      "Madison (Dakota State University)\n",
      "Spearfish (Black Hills State University)\n",
      "Vermillion (University of South Dakota)[5]\n",
      "Tennessee[edit]\n",
      "Chattanooga (University of Tennessee at Chattanooga)\n",
      "Collegedale (Southern Adventist University)\n",
      "Cookeville (Tennessee Technological University)[2]\n",
      "Harrogate (Lincoln Memorial University)[2]\n",
      "Henderson (Freed-Hardeman University)[2]\n",
      "Johnson City (East Tennessee State University)\n",
      "Knoxville (University of Tennessee)\n",
      "Martin (University of Tennessee at Martin)[2]\n",
      "McKenzie (Bethel University)[2]\n",
      "Memphis (Christian Brothers University, LeMoyne-Owen College, Memphis College of Art, Memphis Theological Seminary, Rhodes College, Southern College of Optometry, Southwest Tennessee Community College, University of Memphis, University of Tennessee Health Science Center, Visible Music College)\n",
      "Murfreesboro (Middle Tennessee State University)[2]\n",
      "Nashville (Vanderbilt University, Belmont University, Tennessee State University, Lipscomb University, Fisk University, Aquinas College, Trevecca Nazarene University)\n",
      "Sewanee (Sewanee: the University of the South)[2]\n",
      "Texas[edit]\n",
      "Abilene (Abilene Christian University, Hardin-Simmons University, McMurry University)\n",
      "Alpine (Sul Ross State University)[2]\n",
      "Austin (University of Texas at Austin, St. Edwards University, Huston-Tillotson University)[2]\n",
      "Beaumont (Lamar University)\n",
      "Canyon (West Texas A&M University)[2]\n",
      "College Station (Texas A&M University)[5]\n",
      "Commerce (Texas A&M Universityâ€“Commerce)[2]\n",
      "Dallas (Southern Methodist University)\n",
      "Denton (University of North Texas, Texas Woman's University)[2]\n",
      "Fort Worth (Texas Christian University, Texas Wesleyan University)\n",
      "Georgetown (Southwestern University)\n",
      "Huntsville (Sam Houston State University)[2]\n",
      "Houston (University of Houston, Texas Southern University, Rice University, Houston Baptist University)\n",
      "Keene (Southwestern Adventist University)[2]\n",
      "Kingsville (Texas A&M Universityâ€“Kingsville)[2]\n",
      "Lubbock (Texas Tech University, Lubbock Christian University)\n",
      "Nacogdoches (Stephen F. Austin State University)[2]\n",
      "Plainview (Wayland Baptist University)[2]\n",
      "Prairie View (Prairie View A&M University)[2]\n",
      "San Marcos (Texas State University)[5]\n",
      "Stephenville (Tarleton State University)[2]\n",
      "Waco (Baylor University)\n",
      "Utah[edit]\n",
      "Cedar City (Southern Utah University)[2]\n",
      "Logan (Utah State University)[2]\n",
      "Provo (Brigham Young University)[5]\n",
      "Orem (Utah Valley University)\n",
      "Salt Lake City (University of Utah)\n",
      "Ephraim (Snow College)\n",
      "Vermont[edit]\n",
      "Burlington (University of Vermont, Champlain College and Saint Michael's College)[2]\n",
      "Castleton (Castleton State College)[2]\n",
      "Johnson (Johnson State College)[2]\n",
      "Lyndonville (Lyndon State College)[2]\n",
      "Middlebury (Middlebury College)[2]\n",
      "Northfield (Norwich University)[2]\n",
      "Virginia[edit]\n",
      "Blacksburg (Virginia Polytechnic Institute and State University)[5]\n",
      "Bridgewater (Bridgewater College)[2]\n",
      "Charlottesville (University of Virginia)[23]\n",
      "Farmville (Longwood University, Hampden-Sydney College)[2]\n",
      "Fredericksburg (University of Mary Washington)[2]\n",
      "Harrisonburg (James Madison University, Eastern Mennonite University)[2]\n",
      "Lexington (Washington and Lee University, Virginia Military Institute)[2]\n",
      "Lynchburg (Lynchburg College, Randolph College, Liberty University, Central Virginia Community College)\n",
      "Radford (Radford University)[2]\n",
      "Williamsburg (The College of William & Mary)[2]\n",
      "Wise (University of Virginia's College at Wise)[2]\n",
      "Chesapeake (Averett University, DeVry University, Troy University, Tidewater Community College, Strayer University, Everest University, Sentera College of Health Sciences, St Leo University)[2]\n",
      "Washington[edit]\n",
      "Bellingham (Western Washington University)\n",
      "Cheney (Eastern Washington University)[2]\n",
      "Ellensburg (Central Washington University)[5]\n",
      "Pullman (Washington State University)[5]\n",
      "University District, Seattle (University of Washington)[5]\n",
      "West Virginia[edit]\n",
      "Athens (Concord University)[2]\n",
      "Buckhannon (West Virginia Wesleyan College)[2]\n",
      "Fairmont (Fairmont State University)[2]\n",
      "Glenville (Glenville State College)[2]\n",
      "Huntington (Marshall University)[2]\n",
      "Montgomery (West Virginia University Institute of Technology)[2]\n",
      "Morgantown (West Virginia University)[2]\n",
      "Shepherdstown (Shepherd University)[2]\n",
      "West Liberty (West Liberty University)[2]\n",
      "Wisconsin[edit]\n",
      "Appleton (Lawrence University)\n",
      "Eau Claire (University of Wisconsinâ€“Eau Claire)\n",
      "Green Bay (University of Wisconsin-Green Bay)\n",
      "La Crosse (University of Wisconsinâ€“La Crosse, Western Technical College, Viterbo University)[2]\n",
      "Madison (University of Wisconsinâ€“Madison)[2]\n",
      "Menomonie (University of Wisconsinâ€“Stout)[2]\n",
      "Milwaukee (Marquette University, University of Wisconsinâ€“Milwaukee)\n",
      "Oshkosh (University of Wisconsinâ€“Oshkosh)\n",
      "Platteville (University of Wisconsinâ€“Platteville)[2]\n",
      "River Falls (University of Wisconsinâ€“River Falls)[2]\n",
      "Stevens Point (University of Wisconsinâ€“Stevens Point)[2]\n",
      "Waukesha (Carroll University)\n",
      "Whitewater (University of Wisconsinâ€“Whitewater)[2]\n",
      "Wyoming[edit]\n",
      "Laramie (University of Wyoming)[5]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "with open('Datasets/university_towns.txt', 'r') as text:\n",
    "    textfile = text.read()\n",
    "    print(textfile)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2 Créer un pandas data frame à partir d'un fichier txt\n",
    "On veut créer un DataFrame nommé `towns_df` à partir du fichier 'university_towns.txt'\n",
    "\n",
    "Nous voyons que nous avons des noms d'états périodiques suivis des villes universitaires de cet état: StateA TownA1 TownA2 StateB TownB1 TownB2 .... Si nous regardons la façon dont les noms d'états sont écrits dans le fichier, nous verrons qu'ils ont tous la sous-chaîne «[edit]» en eux.\n",
    "\n",
    "Nous pouvons tirer parti de ce modèle en créant une liste de tuples (état, ville) et en enveloppant cette liste dans un DataFrame:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('Alabama[edit]\\n', 'Auburn (Auburn University)[1]\\n'),\n",
       " ('Alabama[edit]\\n', 'Florence (University of North Alabama)\\n'),\n",
       " ('Alabama[edit]\\n', 'Jacksonville (Jacksonville State University)[2]\\n'),\n",
       " ('Alabama[edit]\\n', 'Livingston (University of West Alabama)[2]\\n'),\n",
       " ('Alabama[edit]\\n', 'Montevallo (University of Montevallo)[2]\\n')]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "university_towns = []\n",
    "with open('Datasets/university_towns.txt') as file:\n",
    "    for line in file:\n",
    "        if '[edit]' in line:\n",
    "             # se rappeler de ce `state` jusqu'à ce qu'on trouve le suivant\n",
    "            state = line\n",
    "        else:\n",
    "             # Sinon, nous avons une ville; garder `state` \n",
    "            university_towns.append((state, line))\n",
    "\n",
    "university_towns[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>State</th>\n",
       "      <th>RegionName</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alabama[edit]\\n</td>\n",
       "      <td>Auburn (Auburn University)[1]\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alabama[edit]\\n</td>\n",
       "      <td>Florence (University of North Alabama)\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Alabama[edit]\\n</td>\n",
       "      <td>Jacksonville (Jacksonville State University)[2]\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Alabama[edit]\\n</td>\n",
       "      <td>Livingston (University of West Alabama)[2]\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Alabama[edit]\\n</td>\n",
       "      <td>Montevallo (University of Montevallo)[2]\\n</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             State                                         RegionName\n",
       "0  Alabama[edit]\\n                    Auburn (Auburn University)[1]\\n\n",
       "1  Alabama[edit]\\n           Florence (University of North Alabama)\\n\n",
       "2  Alabama[edit]\\n  Jacksonville (Jacksonville State University)[2]\\n\n",
       "3  Alabama[edit]\\n       Livingston (University of West Alabama)[2]\\n\n",
       "4  Alabama[edit]\\n         Montevallo (University of Montevallo)[2]\\n"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "towns_df = pd.DataFrame(university_towns,\n",
    "                        columns=['State', 'RegionName'])\n",
    "towns_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3 Compléter la fonction `clean_up` pour nettoyer les colonnes de `towns_df`"
   ]
  },
  {
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    {
     "data": {
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       "<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>State</th>\n",
       "      <th>RegionName</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>Auburn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>Florence</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>Jacksonville</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>Livingston</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>Montevallo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>Troy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>Tuscaloosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>Tuskegee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Alaska</td>\n",
       "      <td>Fairbanks</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Arizona</td>\n",
       "      <td>Flagstaff</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Arizona</td>\n",
       "      <td>Tempe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Arizona</td>\n",
       "      <td>Tucson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>Arkadelphia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>Conway</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>Fayetteville</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>Jonesboro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>Magnolia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>Monticello</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>Russellville</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Arkansas</td>\n",
       "      <td>Searcy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>California</td>\n",
       "      <td>Angwin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>California</td>\n",
       "      <td>Arcata</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>California</td>\n",
       "      <td>Berkeley</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>California</td>\n",
       "      <td>Chico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>California</td>\n",
       "      <td>Claremont</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>California</td>\n",
       "      <td>Cotati</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>California</td>\n",
       "      <td>Davis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>California</td>\n",
       "      <td>Irvine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>California</td>\n",
       "      <td>Isla Vista</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>California</td>\n",
       "      <td>University Park, Los Angeles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>Virginia</td>\n",
       "      <td>Wise</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>Virginia</td>\n",
       "      <td>Chesapeake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>Washington</td>\n",
       "      <td>Bellingham</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>Washington</td>\n",
       "      <td>Cheney</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>491</th>\n",
       "      <td>Washington</td>\n",
       "      <td>Ellensburg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>492</th>\n",
       "      <td>Washington</td>\n",
       "      <td>Pullman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>Washington</td>\n",
       "      <td>University District, Seattle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>494</th>\n",
       "      <td>West Virginia</td>\n",
       "      <td>Athens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>West Virginia</td>\n",
       "      <td>Buckhannon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>West Virginia</td>\n",
       "      <td>Fairmont</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>West Virginia</td>\n",
       "      <td>Glenville</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>West Virginia</td>\n",
       "      <td>Huntington</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>West Virginia</td>\n",
       "      <td>Montgomery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>West Virginia</td>\n",
       "      <td>Morgantown</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>501</th>\n",
       "      <td>West Virginia</td>\n",
       "      <td>Shepherdstown</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>West Virginia</td>\n",
       "      <td>West Liberty</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Appleton</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>504</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Eau Claire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>505</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Green Bay</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>506</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>La Crosse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Madison</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Menomonie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Milwaukee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>510</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Oshkosh</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>511</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Platteville</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>512</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>River Falls</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Stevens Point</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Waukesha</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>515</th>\n",
       "      <td>Wisconsin</td>\n",
       "      <td>Whitewater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>516</th>\n",
       "      <td>Wyoming</td>\n",
       "      <td>Laramie</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>517 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             State                    RegionName\n",
       "0          Alabama                        Auburn\n",
       "1          Alabama                      Florence\n",
       "2          Alabama                  Jacksonville\n",
       "3          Alabama                    Livingston\n",
       "4          Alabama                    Montevallo\n",
       "5          Alabama                          Troy\n",
       "6          Alabama                    Tuscaloosa\n",
       "7          Alabama                      Tuskegee\n",
       "8           Alaska                     Fairbanks\n",
       "9          Arizona                     Flagstaff\n",
       "10         Arizona                         Tempe\n",
       "11         Arizona                        Tucson\n",
       "12        Arkansas                   Arkadelphia\n",
       "13        Arkansas                        Conway\n",
       "14        Arkansas                  Fayetteville\n",
       "15        Arkansas                     Jonesboro\n",
       "16        Arkansas                      Magnolia\n",
       "17        Arkansas                    Monticello\n",
       "18        Arkansas                  Russellville\n",
       "19        Arkansas                        Searcy\n",
       "20      California                        Angwin\n",
       "21      California                        Arcata\n",
       "22      California                      Berkeley\n",
       "23      California                         Chico\n",
       "24      California                     Claremont\n",
       "25      California                        Cotati\n",
       "26      California                         Davis\n",
       "27      California                        Irvine\n",
       "28      California                    Isla Vista\n",
       "29      California  University Park, Los Angeles\n",
       "..             ...                           ...\n",
       "487       Virginia                          Wise\n",
       "488       Virginia                    Chesapeake\n",
       "489     Washington                    Bellingham\n",
       "490     Washington                        Cheney\n",
       "491     Washington                    Ellensburg\n",
       "492     Washington                       Pullman\n",
       "493     Washington  University District, Seattle\n",
       "494  West Virginia                        Athens\n",
       "495  West Virginia                    Buckhannon\n",
       "496  West Virginia                      Fairmont\n",
       "497  West Virginia                     Glenville\n",
       "498  West Virginia                    Huntington\n",
       "499  West Virginia                    Montgomery\n",
       "500  West Virginia                    Morgantown\n",
       "501  West Virginia                 Shepherdstown\n",
       "502  West Virginia                  West Liberty\n",
       "503      Wisconsin                      Appleton\n",
       "504      Wisconsin                    Eau Claire\n",
       "505      Wisconsin                     Green Bay\n",
       "506      Wisconsin                     La Crosse\n",
       "507      Wisconsin                       Madison\n",
       "508      Wisconsin                     Menomonie\n",
       "509      Wisconsin                     Milwaukee\n",
       "510      Wisconsin                       Oshkosh\n",
       "511      Wisconsin                   Platteville\n",
       "512      Wisconsin                   River Falls\n",
       "513      Wisconsin                 Stevens Point\n",
       "514      Wisconsin                      Waukesha\n",
       "515      Wisconsin                    Whitewater\n",
       "516        Wyoming                       Laramie\n",
       "\n",
       "[517 rows x 2 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## complétrer la fonction suivante ( à la place de pass)\n",
    "def clean_up(item):\n",
    "    if '(' in item:\n",
    "        \n",
    "        return item[:item.find('(')-1]\n",
    "    \n",
    "    if '[' in item:\n",
    "        return item[:item.find('[')]\n",
    "    \n",
    "\n",
    "towns_df =  towns_df.applymap(clean_up)\n",
    "towns_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PART III ( OPTIONNELLE) \n",
    "## 1 Renaming columns and skipping rows\n",
    "### 1.1 Convertir le fichier `olympics.csv` en dataframe pandas `olympics_df`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>14</th>\n",
       "      <th>15</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>? Summer</td>\n",
       "      <td>01 !</td>\n",
       "      <td>02 !</td>\n",
       "      <td>03 !</td>\n",
       "      <td>Total</td>\n",
       "      <td>? Winter</td>\n",
       "      <td>01 !</td>\n",
       "      <td>02 !</td>\n",
       "      <td>03 !</td>\n",
       "      <td>Total</td>\n",
       "      <td>? Games</td>\n",
       "      <td>01 !</td>\n",
       "      <td>02 !</td>\n",
       "      <td>03 !</td>\n",
       "      <td>Combined total</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Afghanistan (AFG)</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Algeria (ALG)</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Argentina (ARG)</td>\n",
       "      <td>23</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>70</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Armenia (ARM)</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   0         1     2     3     4      5         6     7     8  \\\n",
       "0                NaN  ? Summer  01 !  02 !  03 !  Total  ? Winter  01 !  02 !   \n",
       "1  Afghanistan (AFG)        13     0     0     2      2         0     0     0   \n",
       "2      Algeria (ALG)        12     5     2     8     15         3     0     0   \n",
       "3    Argentina (ARG)        23    18    24    28     70        18     0     0   \n",
       "4      Armenia (ARM)         5     1     2     9     12         6     0     0   \n",
       "\n",
       "      9     10       11    12    13    14              15  \n",
       "0  03 !  Total  ? Games  01 !  02 !  03 !  Combined total  \n",
       "1     0      0       13     0     0     2               2  \n",
       "2     0      0       15     5     2     8              15  \n",
       "3     0      0       41    18    24    28              70  \n",
       "4     0      0       11     1     2     9              12  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# exporter 'olympics.csv' sous forme de data frame nommé olympics_df\n",
    "\n",
    "olympics_df = pd.read_csv('./Datasets/olympics.csv')\n",
    "# Afficher les 5 premières lignes\n",
    "olympics_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.2 Supprimer la première ligne "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\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>? Summer</th>\n",
       "      <th>01 !</th>\n",
       "      <th>02 !</th>\n",
       "      <th>03 !</th>\n",
       "      <th>Total</th>\n",
       "      <th>? Winter</th>\n",
       "      <th>01 !.1</th>\n",
       "      <th>02 !.1</th>\n",
       "      <th>03 !.1</th>\n",
       "      <th>Total.1</th>\n",
       "      <th>? Games</th>\n",
       "      <th>01 !.2</th>\n",
       "      <th>02 !.2</th>\n",
       "      <th>03 !.2</th>\n",
       "      <th>Combined total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghanistan (AFG)</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Algeria (ALG)</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Argentina (ARG)</td>\n",
       "      <td>23</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>70</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Armenia (ARM)</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Australasia (ANZ) [ANZ]</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Unnamed: 0  ? Summer  01 !  02 !  03 !  Total  ? Winter  \\\n",
       "0        Afghanistan (AFG)        13     0     0     2      2         0   \n",
       "1            Algeria (ALG)        12     5     2     8     15         3   \n",
       "2          Argentina (ARG)        23    18    24    28     70        18   \n",
       "3            Armenia (ARM)         5     1     2     9     12         6   \n",
       "4  Australasia (ANZ) [ANZ]         2     3     4     5     12         0   \n",
       "\n",
       "   01 !.1  02 !.1  03 !.1  Total.1  ? Games  01 !.2  02 !.2  03 !.2  \\\n",
       "0       0       0       0        0       13       0       0       2   \n",
       "1       0       0       0        0       15       5       2       8   \n",
       "2       0       0       0        0       41      18      24      28   \n",
       "3       0       0       0        0       11       1       2       9   \n",
       "4       0       0       0        0        2       3       4       5   \n",
       "\n",
       "   Combined total  \n",
       "0               2  \n",
       "1              15  \n",
       "2              70  \n",
       "3              12  \n",
       "4              12  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# exporter 'olympics.csv' sous forme de data frame nommé olympics_df en supprimant la première ligne\n",
    "\n",
    "olympics_df = pd.read_csv('./Datasets/olympics.csv', skiprows = 1, header = 0)\n",
    "\n",
    "# Afficher les 5 premières lignes\n",
    "olympics_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.3 Changer le nom des colonnes en utilisant le dictionnaire suivant :\n",
    "```python\n",
    "new_names =  {'Unnamed: 0': 'Country',\n",
    "              '? Summer': 'Summer Olympics',\n",
    "              '01 !': 'Gold',\n",
    "              '02 !': 'Silver',\n",
    "              '03 !': 'Bronze',\n",
    "              '? Winter': 'Winter Olympics',\n",
    "              '01 !.1': 'Gold.1',\n",
    "              '02 !.1': 'Silver.1',\n",
    "              '03 !.1': 'Bronze.1',\n",
    "              '? Games': '# Games', \n",
    "              '01 !.2': 'Gold.2',\n",
    "              '02 !.2': 'Silver.2',\n",
    "              '03 !.2': 'Bronze.2'}\n",
    "\n",
    "\n",
    "```\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Summer Olympics</th>\n",
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       "      <th>Silver</th>\n",
       "      <th>Bronze</th>\n",
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       "      <th>Winter Olympics</th>\n",
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       "      <th>Gold.2</th>\n",
       "      <th>Silver.2</th>\n",
       "      <th>Bronze.2</th>\n",
       "      <th>Combined total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghanistan (AFG)</td>\n",
       "      <td>13</td>\n",
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       "      <td>Algeria (ALG)</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Argentina (ARG)</td>\n",
       "      <td>23</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>70</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Armenia (ARM)</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Australasia (ANZ) [ANZ]</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Country  Summer Olympics  Gold  Silver  Bronze  Total  \\\n",
       "0        Afghanistan (AFG)               13     0       0       2      2   \n",
       "1            Algeria (ALG)               12     5       2       8     15   \n",
       "2          Argentina (ARG)               23    18      24      28     70   \n",
       "3            Armenia (ARM)                5     1       2       9     12   \n",
       "4  Australasia (ANZ) [ANZ]                2     3       4       5     12   \n",
       "\n",
       "   Winter Olympics  Gold.1  Silver.1  Bronze.1  Total.1  # Games  Gold.2  \\\n",
       "0                0       0         0         0        0       13       0   \n",
       "1                3       0         0         0        0       15       5   \n",
       "2               18       0         0         0        0       41      18   \n",
       "3                6       0         0         0        0       11       1   \n",
       "4                0       0         0         0        0        2       3   \n",
       "\n",
       "   Silver.2  Bronze.2  Combined total  \n",
       "0         0         2               2  \n",
       "1         2         8              15  \n",
       "2        24        28              70  \n",
       "3         2         9              12  \n",
       "4         4         5              12  "
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\n",
    "\n",
    "new_names =  {'Unnamed: 0': 'Country',\n",
    "              '? Summer': 'Summer Olympics',\n",
    "              '01 !': 'Gold',\n",
    "              '02 !': 'Silver',\n",
    "              '03 !': 'Bronze',\n",
    "              '? Winter': 'Winter Olympics',\n",
    "              '01 !.1': 'Gold.1',\n",
    "              '02 !.1': 'Silver.1',\n",
    "              '03 !.1': 'Bronze.1',\n",
    "              '? Games': '# Games', \n",
    "              '01 !.2': 'Gold.2',\n",
    "              '02 !.2': 'Silver.2',\n",
    "              '03 !.2': 'Bronze.2'}\n",
    "\n",
    "olympics_df.rename(columns=new_names, inplace=True)\n",
    "\n",
    "\n",
    "\n",
    "# Afficher les 5 premières lignes\n",
    "olympics_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Summer Olympics</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghanistan (AFG)</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Argentina (ARG)</td>\n",
       "      <td>23</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>70</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>41</td>\n",
       "      <td>18</td>\n",
       "      <td>24</td>\n",
       "      <td>28</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Armenia (ARM)</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Australasia (ANZ) [ANZ]</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Country  Summer Olympics  Gold  Silver  Bronze  Total  \\\n",
       "0        Afghanistan (AFG)               13     0       0       2      2   \n",
       "1            Algeria (ALG)               12     5       2       8     15   \n",
       "2          Argentina (ARG)               23    18      24      28     70   \n",
       "3            Armenia (ARM)                5     1       2       9     12   \n",
       "4  Australasia (ANZ) [ANZ]                2     3       4       5     12   \n",
       "\n",
       "   Winter Olympics  Gold.1  Silver.1  Bronze.1  Total.1  # Games  Gold.2  \\\n",
       "0                0       0         0         0        0       13       0   \n",
       "1                3       0         0         0        0       15       5   \n",
       "2               18       0         0         0        0       41      18   \n",
       "3                6       0         0         0        0       11       1   \n",
       "4                0       0         0         0        0        2       3   \n",
       "\n",
       "   Silver.2  Bronze.2  Combined total  \n",
       "0         0         2               2  \n",
       "1         2         8              15  \n",
       "2        24        28              70  \n",
       "3         2         9              12  \n",
       "4         4         5              12  "
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olympics_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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