12

module3/exo3/exercice.ipynb

@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -21,7 +21,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -30,7 +30,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -44,17 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "raw_data = pd.read_csv(data_file, skiprows=44)\n",
-    "raw_data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -78,339 +68,401 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>indicated by the date in the first column.</th>\n",
+       "      <th>1958-03-29</th>\n",
+       "      <th>316.19</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2020-02-22</th>\n",
-       "      <td>414.14</td>\n",
+       "      <th>0</th>\n",
+       "      <td>1958-04-05</td>\n",
+       "      <td>317.31</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-02-29</th>\n",
-       "      <td>413.86</td>\n",
+       "      <th>1</th>\n",
+       "      <td>1958-04-12</td>\n",
+       "      <td>317.69</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-03-07</th>\n",
-       "      <td>413.91</td>\n",
+       "      <th>2</th>\n",
+       "      <td>1958-04-19</td>\n",
+       "      <td>317.58</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-03-14</th>\n",
-       "      <td>414.22</td>\n",
+       "      <th>3</th>\n",
+       "      <td>1958-04-26</td>\n",
+       "      <td>316.48</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-03-21</th>\n",
-       "      <td>414.57</td>\n",
+       "      <th>4</th>\n",
+       "      <td>1958-05-03</td>\n",
+       "      <td>316.95</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-03-28</th>\n",
-       "      <td>415.50</td>\n",
+       "      <th>5</th>\n",
+       "      <td>1958-05-17</td>\n",
+       "      <td>317.56</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-04-04</th>\n",
-       "      <td>415.54</td>\n",
+       "      <th>6</th>\n",
+       "      <td>1958-05-24</td>\n",
+       "      <td>317.99</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-04-11</th>\n",
-       "      <td>416.42</td>\n",
+       "      <th>7</th>\n",
+       "      <td>1958-07-05</td>\n",
+       "      <td>315.85</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-04-18</th>\n",
-       "      <td>416.54</td>\n",
+       "      <th>8</th>\n",
+       "      <td>1958-07-12</td>\n",
+       "      <td>315.85</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-04-25</th>\n",
-       "      <td>415.76</td>\n",
+       "      <th>9</th>\n",
+       "      <td>1958-07-19</td>\n",
+       "      <td>315.46</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-05-02</th>\n",
-       "      <td>417.13</td>\n",
+       "      <th>10</th>\n",
+       "      <td>1958-07-26</td>\n",
+       "      <td>315.59</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-05-09</th>\n",
-       "      <td>416.84</td>\n",
+       "      <th>11</th>\n",
+       "      <td>1958-08-02</td>\n",
+       "      <td>315.64</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-05-16</th>\n",
-       "      <td>416.83</td>\n",
+       "      <th>12</th>\n",
+       "      <td>1958-08-09</td>\n",
+       "      <td>315.10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-05-23</th>\n",
-       "      <td>417.41</td>\n",
+       "      <th>13</th>\n",
+       "      <td>1958-08-16</td>\n",
+       "      <td>315.09</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-05-30</th>\n",
-       "      <td>417.13</td>\n",
+       "      <th>14</th>\n",
+       "      <td>1958-08-30</td>\n",
+       "      <td>314.14</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-06-06</th>\n",
-       "      <td>416.43</td>\n",
+       "      <th>15</th>\n",
+       "      <td>1958-09-06</td>\n",
+       "      <td>313.54</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-06-13</th>\n",
-       "      <td>416.44</td>\n",
+       "      <th>16</th>\n",
+       "      <td>1958-11-08</td>\n",
+       "      <td>313.05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-06-20</th>\n",
-       "      <td>416.10</td>\n",
+       "      <th>17</th>\n",
+       "      <td>1958-11-15</td>\n",
+       "      <td>313.26</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-06-27</th>\n",
-       "      <td>415.87</td>\n",
+       "      <th>18</th>\n",
+       "      <td>1958-11-22</td>\n",
+       "      <td>313.57</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-07-04</th>\n",
-       "      <td>415.13</td>\n",
+       "      <th>19</th>\n",
+       "      <td>1958-11-29</td>\n",
+       "      <td>314.01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-07-11</th>\n",
-       "      <td>414.86</td>\n",
+       "      <th>20</th>\n",
+       "      <td>1958-12-06</td>\n",
+       "      <td>314.56</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-07-18</th>\n",
-       "      <td>414.23</td>\n",
+       "      <th>21</th>\n",
+       "      <td>1958-12-13</td>\n",
+       "      <td>314.41</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-07-25</th>\n",
-       "      <td>413.56</td>\n",
+       "      <th>22</th>\n",
+       "      <td>1958-12-20</td>\n",
+       "      <td>314.77</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-08-01</th>\n",
-       "      <td>413.36</td>\n",
+       "      <th>23</th>\n",
+       "      <td>1958-12-27</td>\n",
+       "      <td>315.21</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-08-08</th>\n",
-       "      <td>412.79</td>\n",
+       "      <th>24</th>\n",
+       "      <td>1959-01-03</td>\n",
+       "      <td>315.24</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-08-15</th>\n",
-       "      <td>412.68</td>\n",
+       "      <th>25</th>\n",
+       "      <td>1959-01-10</td>\n",
+       "      <td>315.50</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-08-22</th>\n",
-       "      <td>412.17</td>\n",
+       "      <th>26</th>\n",
+       "      <td>1959-01-17</td>\n",
+       "      <td>315.69</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-08-29</th>\n",
-       "      <td>411.73</td>\n",
+       "      <th>27</th>\n",
+       "      <td>1959-01-24</td>\n",
+       "      <td>315.86</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-09-05</th>\n",
-       "      <td>411.48</td>\n",
+       "      <th>28</th>\n",
+       "      <td>1959-01-31</td>\n",
+       "      <td>315.42</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-09-12</th>\n",
-       "      <td>411.35</td>\n",
+       "      <th>29</th>\n",
+       "      <td>1959-02-14</td>\n",
+       "      <td>316.94</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
        "      <td>...</td>\n",
+       "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-06-10</th>\n",
+       "      <th>3327</th>\n",
+       "      <td>2023-06-10</td>\n",
        "      <td>424.01</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-06-17</th>\n",
+       "      <th>3328</th>\n",
+       "      <td>2023-06-17</td>\n",
        "      <td>422.93</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-06-24</th>\n",
+       "      <th>3329</th>\n",
+       "      <td>2023-06-24</td>\n",
        "      <td>422.21</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-07-01</th>\n",
+       "      <th>3330</th>\n",
+       "      <td>2023-07-01</td>\n",
        "      <td>422.80</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-07-08</th>\n",
+       "      <th>3331</th>\n",
+       "      <td>2023-07-08</td>\n",
        "      <td>422.32</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-07-15</th>\n",
+       "      <th>3332</th>\n",
+       "      <td>2023-07-15</td>\n",
        "      <td>421.43</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-07-22</th>\n",
+       "      <th>3333</th>\n",
+       "      <td>2023-07-22</td>\n",
        "      <td>420.74</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-07-29</th>\n",
+       "      <th>3334</th>\n",
+       "      <td>2023-07-29</td>\n",
        "      <td>420.88</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-08-05</th>\n",
+       "      <th>3335</th>\n",
+       "      <td>2023-08-05</td>\n",
        "      <td>420.39</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-08-12</th>\n",
+       "      <th>3336</th>\n",
+       "      <td>2023-08-12</td>\n",
        "      <td>420.30</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-08-19</th>\n",
+       "      <th>3337</th>\n",
+       "      <td>2023-08-19</td>\n",
        "      <td>418.96</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-08-26</th>\n",
+       "      <th>3338</th>\n",
+       "      <td>2023-08-26</td>\n",
        "      <td>418.84</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-09-02</th>\n",
+       "      <th>3339</th>\n",
+       "      <td>2023-09-02</td>\n",
        "      <td>418.50</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-09-09</th>\n",
+       "      <th>3340</th>\n",
+       "      <td>2023-09-09</td>\n",
        "      <td>418.28</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-09-16</th>\n",
+       "      <th>3341</th>\n",
+       "      <td>2023-09-16</td>\n",
        "      <td>418.52</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-09-23</th>\n",
+       "      <th>3342</th>\n",
+       "      <td>2023-09-23</td>\n",
        "      <td>417.77</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-09-30</th>\n",
+       "      <th>3343</th>\n",
+       "      <td>2023-09-30</td>\n",
        "      <td>417.89</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-10-07</th>\n",
+       "      <th>3344</th>\n",
+       "      <td>2023-10-07</td>\n",
        "      <td>418.10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-10-14</th>\n",
+       "      <th>3345</th>\n",
+       "      <td>2023-10-14</td>\n",
        "      <td>418.82</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-10-21</th>\n",
+       "      <th>3346</th>\n",
+       "      <td>2023-10-21</td>\n",
        "      <td>418.85</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-10-28</th>\n",
+       "      <th>3347</th>\n",
+       "      <td>2023-10-28</td>\n",
        "      <td>418.62</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-11-04</th>\n",
+       "      <th>3348</th>\n",
+       "      <td>2023-11-04</td>\n",
        "      <td>419.07</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-11-11</th>\n",
+       "      <th>3349</th>\n",
+       "      <td>2023-11-11</td>\n",
        "      <td>419.41</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-11-18</th>\n",
+       "      <th>3350</th>\n",
+       "      <td>2023-11-18</td>\n",
        "      <td>421.18</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-11-25</th>\n",
+       "      <th>3351</th>\n",
+       "      <td>2023-11-25</td>\n",
        "      <td>421.22</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-12-02</th>\n",
+       "      <th>3352</th>\n",
+       "      <td>2023-12-02</td>\n",
        "      <td>420.28</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-12-09</th>\n",
+       "      <th>3353</th>\n",
+       "      <td>2023-12-09</td>\n",
        "      <td>421.23</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-12-16</th>\n",
+       "      <th>3354</th>\n",
+       "      <td>2023-12-16</td>\n",
        "      <td>422.57</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-12-23</th>\n",
+       "      <th>3355</th>\n",
+       "      <td>2023-12-23</td>\n",
        "      <td>422.06</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2023-12-30</th>\n",
+       "      <th>3356</th>\n",
+       "      <td>2023-12-30</td>\n",
        "      <td>421.76</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>200 rows × 1 columns</p>\n",
+       "<p>3357 rows × 2 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "             indicated by the date in the first column.                             \n",
-       "2020-02-22                                             414.14                       \n",
-       "2020-02-29                                             413.86                       \n",
-       "2020-03-07                                             413.91                       \n",
-       "2020-03-14                                             414.22                       \n",
-       "2020-03-21                                             414.57                       \n",
-       "2020-03-28                                             415.50                       \n",
-       "2020-04-04                                             415.54                       \n",
-       "2020-04-11                                             416.42                       \n",
-       "2020-04-18                                             416.54                       \n",
-       "2020-04-25                                             415.76                       \n",
-       "2020-05-02                                             417.13                       \n",
-       "2020-05-09                                             416.84                       \n",
-       "2020-05-16                                             416.83                       \n",
-       "2020-05-23                                             417.41                       \n",
-       "2020-05-30                                             417.13                       \n",
-       "2020-06-06                                             416.43                       \n",
-       "2020-06-13                                             416.44                       \n",
-       "2020-06-20                                             416.10                       \n",
-       "2020-06-27                                             415.87                       \n",
-       "2020-07-04                                             415.13                       \n",
-       "2020-07-11                                             414.86                       \n",
-       "2020-07-18                                             414.23                       \n",
-       "2020-07-25                                             413.56                       \n",
-       "2020-08-01                                             413.36                       \n",
-       "2020-08-08                                             412.79                       \n",
-       "2020-08-15                                             412.68                       \n",
-       "2020-08-22                                             412.17                       \n",
-       "2020-08-29                                             411.73                       \n",
-       "2020-09-05                                             411.48                       \n",
-       "2020-09-12                                             411.35                       \n",
-       "...                                                       ...                       \n",
-       "2023-06-10                                             424.01                       \n",
-       "2023-06-17                                             422.93                       \n",
-       "2023-06-24                                             422.21                       \n",
-       "2023-07-01                                             422.80                       \n",
-       "2023-07-08                                             422.32                       \n",
-       "2023-07-15                                             421.43                       \n",
-       "2023-07-22                                             420.74                       \n",
-       "2023-07-29                                             420.88                       \n",
-       "2023-08-05                                             420.39                       \n",
-       "2023-08-12                                             420.30                       \n",
-       "2023-08-19                                             418.96                       \n",
-       "2023-08-26                                             418.84                       \n",
-       "2023-09-02                                             418.50                       \n",
-       "2023-09-09                                             418.28                       \n",
-       "2023-09-16                                             418.52                       \n",
-       "2023-09-23                                             417.77                       \n",
-       "2023-09-30                                             417.89                       \n",
-       "2023-10-07                                             418.10                       \n",
-       "2023-10-14                                             418.82                       \n",
-       "2023-10-21                                             418.85                       \n",
-       "2023-10-28                                             418.62                       \n",
-       "2023-11-04                                             419.07                       \n",
-       "2023-11-11                                             419.41                       \n",
-       "2023-11-18                                             421.18                       \n",
-       "2023-11-25                                             421.22                       \n",
-       "2023-12-02                                             420.28                       \n",
-       "2023-12-09                                             421.23                       \n",
-       "2023-12-16                                             422.57                       \n",
-       "2023-12-23                                             422.06                       \n",
-       "2023-12-30                                             421.76                       \n",
+       "      1958-03-29   316.19\n",
+       "0     1958-04-05   317.31\n",
+       "1     1958-04-12   317.69\n",
+       "2     1958-04-19   317.58\n",
+       "3     1958-04-26   316.48\n",
+       "4     1958-05-03   316.95\n",
+       "5     1958-05-17   317.56\n",
+       "6     1958-05-24   317.99\n",
+       "7     1958-07-05   315.85\n",
+       "8     1958-07-12   315.85\n",
+       "9     1958-07-19   315.46\n",
+       "10    1958-07-26   315.59\n",
+       "11    1958-08-02   315.64\n",
+       "12    1958-08-09   315.10\n",
+       "13    1958-08-16   315.09\n",
+       "14    1958-08-30   314.14\n",
+       "15    1958-09-06   313.54\n",
+       "16    1958-11-08   313.05\n",
+       "17    1958-11-15   313.26\n",
+       "18    1958-11-22   313.57\n",
+       "19    1958-11-29   314.01\n",
+       "20    1958-12-06   314.56\n",
+       "21    1958-12-13   314.41\n",
+       "22    1958-12-20   314.77\n",
+       "23    1958-12-27   315.21\n",
+       "24    1959-01-03   315.24\n",
+       "25    1959-01-10   315.50\n",
+       "26    1959-01-17   315.69\n",
+       "27    1959-01-24   315.86\n",
+       "28    1959-01-31   315.42\n",
+       "29    1959-02-14   316.94\n",
+       "...          ...      ...\n",
+       "3327  2023-06-10   424.01\n",
+       "3328  2023-06-17   422.93\n",
+       "3329  2023-06-24   422.21\n",
+       "3330  2023-07-01   422.80\n",
+       "3331  2023-07-08   422.32\n",
+       "3332  2023-07-15   421.43\n",
+       "3333  2023-07-22   420.74\n",
+       "3334  2023-07-29   420.88\n",
+       "3335  2023-08-05   420.39\n",
+       "3336  2023-08-12   420.30\n",
+       "3337  2023-08-19   418.96\n",
+       "3338  2023-08-26   418.84\n",
+       "3339  2023-09-02   418.50\n",
+       "3340  2023-09-09   418.28\n",
+       "3341  2023-09-16   418.52\n",
+       "3342  2023-09-23   417.77\n",
+       "3343  2023-09-30   417.89\n",
+       "3344  2023-10-07   418.10\n",
+       "3345  2023-10-14   418.82\n",
+       "3346  2023-10-21   418.85\n",
+       "3347  2023-10-28   418.62\n",
+       "3348  2023-11-04   419.07\n",
+       "3349  2023-11-11   419.41\n",
+       "3350  2023-11-18   421.18\n",
+       "3351  2023-11-25   421.22\n",
+       "3352  2023-12-02   420.28\n",
+       "3353  2023-12-09   421.23\n",
+       "3354  2023-12-16   422.57\n",
+       "3355  2023-12-23   422.06\n",
+       "3356  2023-12-30   421.76\n",
        "\n",
-       "[200 rows x 1 columns]"
+       "[3357 rows x 2 columns]"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "raw_data = pd.read_csv(data_file, skiprows=43)\n",
-    "raw_data[-200:]"
+    "raw_data = pd.read_csv(data_file, skiprows=44)\n",
+    "raw_data"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -440,9 +492,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Visualizar el conjunto de datos\n",
     "plt.figure(figsize=(15, 6))\n",