pandas cookbook Chapter 1

Author: emma-oc

pandas Cookbook Practice Chapter 1.ipynb

@@ -52,114 +52,7 @@
    "source": [
     "# read the csv\n",
     "# specify delimiter, fix encoding, parse the date(day first format), use the column of date as row index\n",
-    "fixed_df = pd.read_csv('data/bikes.csv', sep=';', encoding='latin1', parse_dates=['Date'], dayfirst=True, index_col='Date')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Berri 1</th>\n",
-       "      <th>Brébeuf (données non disponibles)</th>\n",
-       "      <th>Côte-Sainte-Catherine</th>\n",
-       "      <th>Maisonneuve 1</th>\n",
-       "      <th>Maisonneuve 2</th>\n",
-       "      <th>du Parc</th>\n",
-       "      <th>Pierre-Dupuy</th>\n",
-       "      <th>Rachel1</th>\n",
-       "      <th>St-Urbain (données non disponibles)</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Date</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></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>2012-01-01</th>\n",
-       "      <td>  35</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td> 0</td>\n",
-       "      <td>  38</td>\n",
-       "      <td>  51</td>\n",
-       "      <td> 26</td>\n",
-       "      <td> 10</td>\n",
-       "      <td> 16</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2012-01-02</th>\n",
-       "      <td>  83</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td> 1</td>\n",
-       "      <td>  68</td>\n",
-       "      <td> 153</td>\n",
-       "      <td> 53</td>\n",
-       "      <td>  6</td>\n",
-       "      <td> 43</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2012-01-03</th>\n",
-       "      <td> 135</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td> 2</td>\n",
-       "      <td> 104</td>\n",
-       "      <td> 248</td>\n",
-       "      <td> 89</td>\n",
-       "      <td>  3</td>\n",
-       "      <td> 58</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            Berri 1  Brébeuf (données non disponibles)  Côte-Sainte-Catherine  \\\n",
-       "Date                                                                            \n",
-       "2012-01-01       35                                NaN                      0   \n",
-       "2012-01-02       83                                NaN                      1   \n",
-       "2012-01-03      135                                NaN                      2   \n",
-       "\n",
-       "            Maisonneuve 1  Maisonneuve 2  du Parc  Pierre-Dupuy  Rachel1  \\\n",
-       "Date                                                                       \n",
-       "2012-01-01             38             51       26            10       16   \n",
-       "2012-01-02             68            153       53             6       43   \n",
-       "2012-01-03            104            248       89             3       58   \n",
-       "\n",
-       "            St-Urbain (données non disponibles)  \n",
-       "Date                                             \n",
-       "2012-01-01                                  NaN  \n",
-       "2012-01-02                                  NaN  \n",
-       "2012-01-03                                  NaN  "
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
+    "fixed_df = pd.read_csv('data/bikes.csv', sep=';', encoding='latin1', parse_dates=['Date'], dayfirst=True, index_col='Date')\n",
     "fixed_df[:3]"
    ]
   },