Skip to content

M
mooc-rr
Commit e625ca5e authored by 264af2e9a1e4e844f861df089a5604e3's avatar 264af2e9a1e4e844f861df089a5604e3
Browse files
Options

no commit message

parent a72944f7
Hide whitespace changes
Inline Side-by-side
Showing with 435 additions and 437 deletions
module3/exo2/exerciceTabac.ipynb
View file @ e625ca5e
......@@ -22,7 +22,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
......@@ -41,7 +41,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
......@@ -50,7 +50,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 3,
"metadata": {
"scrolled": true
},
......@@ -520,7 +520,7 @@
"[1314 rows x 3 columns]"
]
},
"execution_count": 4,
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
......@@ -541,20 +541,20 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"#trier = raw_data.sort_values(by = [\"Smoker\"])\n",
"masq = raw_data[\"Smoker\"] == \"Yes\"\n",
"fumeuses = raw_data.loc[masq]\n",
"nonFumeuses = raw_data.loc[raw_data[\"Smoker\"]==\"No\"]\n",
"nonFumeuses = trier.loc[raw_data[\"Smoker\"]==\"No\"]\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 5,
"metadata": {},
"outputs": [
{
......@@ -585,184 +585,184 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <th>915</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>21.0</td>\n",
" <td>47.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <th>1095</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>19.3</td>\n",
" <td>30.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <th>941</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>81.4</td>\n",
" <td>30.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <th>1311</th>\n",
" <td>Yes</td>\n",
" <td>Dead</td>\n",
" <td>57.5</td>\n",
" <td>62.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <th>1091</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>24.8</td>\n",
" <td>60.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <th>945</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>49.5</td>\n",
" <td>60.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <th>1148</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>30.0</td>\n",
" <td>50.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <th>1307</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>49.2</td>\n",
" <td>43.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <th>913</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>65.7</td>\n",
" <td>Dead</td>\n",
" <td>84.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <th>946</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>38.3</td>\n",
" <td>25.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <th>1276</th>\n",
" <td>Yes</td>\n",
" <td>Dead</td>\n",
" <td>62.3</td>\n",
" <td>Alive</td>\n",
" <td>58.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <th>950</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>59.2</td>\n",
" <td>Dead</td>\n",
" <td>43.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <th>1309</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>34.6</td>\n",
" <td>35.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <th>947</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>51.9</td>\n",
" <td>Dead</td>\n",
" <td>37.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <th>1125</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>49.9</td>\n",
" <td>57.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <th>948</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>46.7</td>\n",
" <td>47.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <th>1093</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>44.4</td>\n",
" <td>Dead</td>\n",
" <td>84.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <th>911</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>29.5</td>\n",
" <td>38.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>38</th>\n",
" <th>1273</th>\n",
" <td>Yes</td>\n",
" <td>Dead</td>\n",
" <td>33.0</td>\n",
" <td>Alive</td>\n",
" <td>55.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <th>1149</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>35.6</td>\n",
" <td>21.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40</th>\n",
" <th>1111</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>39.1</td>\n",
" <td>41.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42</th>\n",
" <th>1127</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>35.7</td>\n",
" <td>32.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46</th>\n",
" <th>1115</th>\n",
" <td>Yes</td>\n",
" <td>Dead</td>\n",
" <td>44.3</td>\n",
" <td>63.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>48</th>\n",
" <th>1114</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>37.5</td>\n",
" <td>Dead</td>\n",
" <td>31.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <th>1143</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>22.1</td>\n",
" <td>26.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>53</th>\n",
" <th>1102</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>39.0</td>\n",
" <td>29.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>56</th>\n",
" <th>1142</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>40.1</td>\n",
" <td>Dead</td>\n",
" <td>71.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>60</th>\n",
" <th>1140</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>58.1</td>\n",
" <td>42.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61</th>\n",
" <th>1288</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>37.3</td>\n",
" <td>Dead</td>\n",
" <td>39.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>63</th>\n",
" <th>1132</th>\n",
" <td>Yes</td>\n",
" <td>Dead</td>\n",
" <td>36.3</td>\n",
" <td>Alive</td>\n",
" <td>18.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
......@@ -771,184 +771,184 @@
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1240</th>\n",
" <th>649</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>29.7</td>\n",
" <td>36.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1243</th>\n",
" <th>650</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>40.1</td>\n",
" <td>Dead</td>\n",
" <td>81.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1251</th>\n",
" <th>611</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>27.8</td>\n",
" <td>43.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1252</th>\n",
" <th>608</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>52.4</td>\n",
" <td>23.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1253</th>\n",
" <th>605</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>27.8</td>\n",
" <td>59.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1254</th>\n",
" <th>604</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>41.0</td>\n",
" <td>43.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1259</th>\n",
" <th>554</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>40.8</td>\n",
" <td>21.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1260</th>\n",
" <th>555</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>20.4</td>\n",
" <td>Dead</td>\n",
" <td>76.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1263</th>\n",
" <th>558</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>20.9</td>\n",
" <td>Dead</td>\n",
" <td>75.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1264</th>\n",
" <th>560</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>45.5</td>\n",
" <td>53.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1269</th>\n",
" <th>562</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>38.8</td>\n",
" <td>43.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1270</th>\n",
" <th>563</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>55.5</td>\n",
" <td>50.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1271</th>\n",
" <th>565</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>24.9</td>\n",
" <td>32.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1273</th>\n",
" <th>566</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>55.7</td>\n",
" <td>50.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1276</th>\n",
" <th>567</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>58.5</td>\n",
" <td>Dead</td>\n",
" <td>66.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1278</th>\n",
" <th>569</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>43.7</td>\n",
" <td>27.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1282</th>\n",
" <th>548</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>51.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1284</th>\n",
" <td>Yes</td>\n",
" <td>Dead</td>\n",
" <td>36.0</td>\n",
" <td>62.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1285</th>\n",
" <th>571</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>48.3</td>\n",
" <td>38.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1288</th>\n",
" <th>573</th>\n",
" <td>Yes</td>\n",
" <td>Dead</td>\n",
" <td>39.3</td>\n",
" <td>55.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1295</th>\n",
" <th>575</th>\n",
" <td>Yes</td>\n",
" <td>Dead</td>\n",
" <td>82.4</td>\n",
" <td>Alive</td>\n",
" <td>50.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1296</th>\n",
" <th>580</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>38.3</td>\n",
" <td>42.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1297</th>\n",
" <th>583</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>32.7</td>\n",
" <td>26.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1299</th>\n",
" <th>584</th>\n",
" <td>Yes</td>\n",
" <td>Dead</td>\n",
" <td>60.0</td>\n",
" <td>Alive</td>\n",
" <td>23.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1303</th>\n",
" <th>587</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>31.2</td>\n",
" <td>34.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1304</th>\n",
" <th>589</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>47.8</td>\n",
" <td>28.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1305</th>\n",
" <th>591</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>60.9</td>\n",
" <td>38.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1307</th>\n",
" <th>592</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>43.0</td>\n",
" <td>41.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1309</th>\n",
" <th>595</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>35.9</td>\n",
" <td>25.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1311</th>\n",
" <th>572</th>\n",
" <td>Yes</td>\n",
" <td>Dead</td>\n",
" <td>62.1</td>\n",
" <td>66.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>656</th>\n",
" <td>Yes</td>\n",
" <td>Alive</td>\n",
" <td>43.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
......@@ -957,72 +957,72 @@
],
"text/plain": [
" Smoker Status Age\n",
"0 Yes Alive 21.0\n",
"1 Yes Alive 19.3\n",
"4 Yes Alive 81.4\n",
"7 Yes Dead 57.5\n",
"8 Yes Alive 24.8\n",
"9 Yes Alive 49.5\n",
"10 Yes Alive 30.0\n",
"12 Yes Alive 49.2\n",
"19 Yes Alive 65.7\n",
"21 Yes Alive 38.3\n",
"23 Yes Dead 62.3\n",
"26 Yes Alive 59.2\n",
"30 Yes Alive 34.6\n",
"31 Yes Alive 51.9\n",
"32 Yes Alive 49.9\n",
"35 Yes Alive 46.7\n",
"36 Yes Alive 44.4\n",
"37 Yes Alive 29.5\n",
"38 Yes Dead 33.0\n",
"39 Yes Alive 35.6\n",
"40 Yes Alive 39.1\n",
"42 Yes Alive 35.7\n",
"46 Yes Dead 44.3\n",
"48 Yes Alive 37.5\n",
"49 Yes Alive 22.1\n",
"53 Yes Alive 39.0\n",
"56 Yes Alive 40.1\n",
"60 Yes Alive 58.1\n",
"61 Yes Alive 37.3\n",
"63 Yes Dead 36.3\n",
"... ... ... ...\n",
"1240 Yes Alive 29.7\n",
"1243 Yes Alive 40.1\n",
"1251 Yes Alive 27.8\n",
"1252 Yes Alive 52.4\n",
"1253 Yes Alive 27.8\n",
"1254 Yes Alive 41.0\n",
"1259 Yes Alive 40.8\n",
"1260 Yes Alive 20.4\n",
"1263 Yes Alive 20.9\n",
"1264 Yes Alive 45.5\n",
"1269 Yes Alive 38.8\n",
"1270 Yes Alive 55.5\n",
"1271 Yes Alive 24.9\n",
"1273 Yes Alive 55.7\n",
"1276 Yes Alive 58.5\n",
"1278 Yes Alive 43.7\n",
"1282 Yes Alive 51.2\n",
"1284 Yes Dead 36.0\n",
"1285 Yes Alive 48.3\n",
"1288 Yes Dead 39.3\n",
"1295 Yes Dead 82.4\n",
"1296 Yes Alive 38.3\n",
"1297 Yes Alive 32.7\n",
"1299 Yes Dead 60.0\n",
"1303 Yes Alive 31.2\n",
"1304 Yes Alive 47.8\n",
"1305 Yes Alive 60.9\n",
"915 Yes Alive 47.4\n",
"1095 Yes Alive 30.2\n",
"941 Yes Alive 30.4\n",
"1311 Yes Dead 62.1\n",
"1091 Yes Alive 60.0\n",
"945 Yes Alive 60.2\n",
"1148 Yes Alive 50.6\n",
"1307 Yes Alive 43.0\n",
"913 Yes Dead 84.4\n",
"946 Yes Alive 25.0\n",
"1276 Yes Alive 58.5\n",
"950 Yes Dead 43.3\n",
"1309 Yes Alive 35.9\n",
"1311 Yes Dead 62.1\n",
"947 Yes Dead 37.1\n",
"1125 Yes Alive 57.2\n",
"948 Yes Alive 47.7\n",
"1093 Yes Dead 84.3\n",
"911 Yes Alive 38.6\n",
"1273 Yes Alive 55.7\n",
"1149 Yes Alive 21.5\n",
"1111 Yes Alive 41.9\n",
"1127 Yes Alive 32.5\n",
"1115 Yes Dead 63.3\n",
"1114 Yes Dead 31.3\n",
"1143 Yes Alive 26.6\n",
"1102 Yes Alive 29.7\n",
"1142 Yes Dead 71.0\n",
"1140 Yes Alive 42.3\n",
"1288 Yes Dead 39.3\n",
"1132 Yes Alive 18.0\n",
"... ... ... ...\n",
"649 Yes Alive 36.9\n",
"650 Yes Dead 81.8\n",
"611 Yes Alive 43.4\n",
"608 Yes Alive 23.5\n",
"605 Yes Alive 59.0\n",
"604 Yes Alive 43.8\n",
"554 Yes Alive 21.3\n",
"555 Yes Dead 76.9\n",
"558 Yes Dead 75.2\n",
"560 Yes Alive 53.0\n",
"562 Yes Alive 43.7\n",
"563 Yes Alive 50.9\n",
"565 Yes Alive 32.8\n",
"566 Yes Alive 50.7\n",
"567 Yes Dead 66.1\n",
"569 Yes Alive 27.2\n",
"548 Yes Alive 62.1\n",
"571 Yes Alive 38.1\n",
"573 Yes Dead 55.2\n",
"575 Yes Alive 50.9\n",
"580 Yes Alive 42.5\n",
"583 Yes Alive 26.6\n",
"584 Yes Alive 23.3\n",
"587 Yes Alive 34.8\n",
"589 Yes Alive 28.2\n",
"591 Yes Alive 38.5\n",
"592 Yes Alive 41.0\n",
"595 Yes Alive 25.7\n",
"572 Yes Dead 66.8\n",
"656 Yes Alive 43.0\n",
"\n",
"[582 rows x 3 columns]"
]
},
"execution_count": 10,
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
......@@ -1033,7 +1033,7 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 6,
"metadata": {},
"outputs": [
{
......@@ -1064,184 +1064,184 @@
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2</th>\n",
" <th>1313</th>\n",
" <td>No</td>\n",
" <td>Dead</td>\n",
" <td>57.5</td>\n",
" <td>Alive</td>\n",
" <td>39.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <th>1048</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>47.1</td>\n",
" <td>28.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <th>568</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>36.8</td>\n",
" <td>33.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <th>1047</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>23.8</td>\n",
" <td>62.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <th>570</th>\n",
" <td>No</td>\n",
" <td>Dead</td>\n",
" <td>66.0</td>\n",
" <td>56.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <th>1046</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>58.4</td>\n",
" <td>20.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <th>1045</th>\n",
" <td>No</td>\n",
" <td>Dead</td>\n",
" <td>60.6</td>\n",
" <td>Alive</td>\n",
" <td>48.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <th>1044</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>25.1</td>\n",
" <td>32.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <th>574</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>43.5</td>\n",
" <td>51.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <th>576</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>27.1</td>\n",
" <td>41.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <th>577</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>58.3</td>\n",
" <td>Dead</td>\n",
" <td>65.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <th>578</th>\n",
" <td>No</td>\n",
" <td>Dead</td>\n",
" <td>73.2</td>\n",
" <td>67.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <th>579</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>33.4</td>\n",
" <td>37.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <th>1042</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>18.0</td>\n",
" <td>61.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <th>581</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>56.2</td>\n",
" <td>23.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <th>582</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>25.8</td>\n",
" <td>60.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <th>585</th>\n",
" <td>No</td>\n",
" <td>Dead</td>\n",
" <td>36.9</td>\n",
" <td>75.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <th>586</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>20.2</td>\n",
" <td>Dead</td>\n",
" <td>72.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <th>1039</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>19.4</td>\n",
" <td>21.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <th>588</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>56.9</td>\n",
" <td>Dead</td>\n",
" <td>55.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41</th>\n",
" <th>1038</th>\n",
" <td>No</td>\n",
" <td>Dead</td>\n",
" <td>69.7</td>\n",
" <td>81.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <th>590</th>\n",
" <td>No</td>\n",
" <td>Dead</td>\n",
" <td>75.8</td>\n",
" <td>79.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>44</th>\n",
" <th>564</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>25.3</td>\n",
" <td>Dead</td>\n",
" <td>29.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <th>1051</th>\n",
" <td>No</td>\n",
" <td>Dead</td>\n",
" <td>83.0</td>\n",
" <td>Alive</td>\n",
" <td>53.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>47</th>\n",
" <th>1052</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>18.5</td>\n",
" <td>20.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50</th>\n",
" <th>561</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>82.8</td>\n",
" <td>62.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <th>529</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>45.0</td>\n",
" <td>25.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>52</th>\n",
" <th>1068</th>\n",
" <td>No</td>\n",
" <td>Dead</td>\n",
" <td>73.3</td>\n",
" <td>Alive</td>\n",
" <td>49.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>54</th>\n",
" <th>533</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>28.4</td>\n",
" <td>35.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55</th>\n",
" <th>534</th>\n",
" <td>No</td>\n",
" <td>Dead</td>\n",
" <td>73.7</td>\n",
" <td>Alive</td>\n",
" <td>38.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
......@@ -1250,184 +1250,184 @@
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1262</th>\n",
" <th>1128</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>41.2</td>\n",
" <td>19.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1265</th>\n",
" <th>396</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>26.7</td>\n",
" <td>20.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1266</th>\n",
" <th>261</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>41.8</td>\n",
" <td>49.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1267</th>\n",
" <th>1190</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>33.7</td>\n",
" <td>38.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1268</th>\n",
" <th>268</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>56.5</td>\n",
" <td>52.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1272</th>\n",
" <th>256</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>33.0</td>\n",
" <td>52.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1274</th>\n",
" <th>398</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>25.7</td>\n",
" <td>46.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1275</th>\n",
" <th>277</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>19.5</td>\n",
" <td>55.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1277</th>\n",
" <th>1183</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>23.4</td>\n",
" <td>57.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1279</th>\n",
" <th>278</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>34.4</td>\n",
" <td>Dead</td>\n",
" <td>87.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1280</th>\n",
" <th>383</th>\n",
" <td>No</td>\n",
" <td>Dead</td>\n",
" <td>83.9</td>\n",
" <td>74.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1281</th>\n",
" <th>1196</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>34.9</td>\n",
" <td>Dead</td>\n",
" <td>76.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1283</th>\n",
" <th>273</th>\n",
" <td>No</td>\n",
" <td>Dead</td>\n",
" <td>86.3</td>\n",
" <td>Alive</td>\n",
" <td>36.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1286</th>\n",
" <th>252</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>63.1</td>\n",
" <td>20.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1287</th>\n",
" <th>384</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>60.8</td>\n",
" <td>37.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1289</th>\n",
" <th>403</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>36.7</td>\n",
" <td>Dead</td>\n",
" <td>78.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1290</th>\n",
" <th>250</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>63.8</td>\n",
" <td>30.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1291</th>\n",
" <th>249</th>\n",
" <td>No</td>\n",
" <td>Dead</td>\n",
" <td>71.3</td>\n",
" <td>84.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1292</th>\n",
" <th>404</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>57.7</td>\n",
" <td>26.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1293</th>\n",
" <th>1131</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>63.2</td>\n",
" <td>22.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1294</th>\n",
" <th>1184</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>46.6</td>\n",
" <td>46.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1298</th>\n",
" <th>282</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>39.7</td>\n",
" <td>18.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1300</th>\n",
" <th>1194</th>\n",
" <td>No</td>\n",
" <td>Dead</td>\n",
" <td>71.0</td>\n",
" <td>83.3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1301</th>\n",
" <th>255</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>20.5</td>\n",
" <td>19.6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1302</th>\n",
" <th>405</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>44.4</td>\n",
" <td>63.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1306</th>\n",
" <th>276</th>\n",
" <td>No</td>\n",
" <td>Dead</td>\n",
" <td>61.4</td>\n",
" <td>Alive</td>\n",
" <td>38.4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1308</th>\n",
" <th>1124</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>42.1</td>\n",
" <td>52.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1310</th>\n",
" <th>275</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>22.3</td>\n",
" <td>38.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1312</th>\n",
" <th>1185</th>\n",
" <td>No</td>\n",
" <td>Dead</td>\n",
" <td>88.6</td>\n",
" <td>73.8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1313</th>\n",
" <th>280</th>\n",
" <td>No</td>\n",
" <td>Alive</td>\n",
" <td>39.1</td>\n",
" <td>74.1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
......@@ -1436,72 +1436,72 @@
],
"text/plain": [
" Smoker Status Age\n",
"2 No Dead 57.5\n",
"3 No Alive 47.1\n",
"5 No Alive 36.8\n",
"6 No Alive 23.8\n",
"11 No Dead 66.0\n",
"13 No Alive 58.4\n",
"14 No Dead 60.6\n",
"15 No Alive 25.1\n",
"16 No Alive 43.5\n",
"17 No Alive 27.1\n",
"18 No Alive 58.3\n",
"20 No Dead 73.2\n",
"22 No Alive 33.4\n",
"24 No Alive 18.0\n",
"25 No Alive 56.2\n",
"27 No Alive 25.8\n",
"28 No Dead 36.9\n",
"29 No Alive 20.2\n",
"33 No Alive 19.4\n",
"34 No Alive 56.9\n",
"41 No Dead 69.7\n",
"43 No Dead 75.8\n",
"44 No Alive 25.3\n",
"45 No Dead 83.0\n",
"47 No Alive 18.5\n",
"50 No Alive 82.8\n",
"51 No Alive 45.0\n",
"52 No Dead 73.3\n",
"54 No Alive 28.4\n",
"55 No Dead 73.7\n",
"... ... ... ...\n",
"1262 No Alive 41.2\n",
"1265 No Alive 26.7\n",
"1266 No Alive 41.8\n",
"1267 No Alive 33.7\n",
"1268 No Alive 56.5\n",
"1272 No Alive 33.0\n",
"1274 No Alive 25.7\n",
"1275 No Alive 19.5\n",
"1277 No Alive 23.4\n",
"1279 No Alive 34.4\n",
"1280 No Dead 83.9\n",
"1281 No Alive 34.9\n",
"1283 No Dead 86.3\n",
"1286 No Alive 63.1\n",
"1287 No Alive 60.8\n",
"1289 No Alive 36.7\n",
"1290 No Alive 63.8\n",
"1291 No Dead 71.3\n",
"1292 No Alive 57.7\n",
"1293 No Alive 63.2\n",
"1294 No Alive 46.6\n",
"1298 No Alive 39.7\n",
"1300 No Dead 71.0\n",
"1301 No Alive 20.5\n",
"1302 No Alive 44.4\n",
"1306 No Dead 61.4\n",
"1308 No Alive 42.1\n",
"1310 No Alive 22.3\n",
"1312 No Dead 88.6\n",
"1313 No Alive 39.1\n",
"1048 No Alive 28.5\n",
"568 No Alive 33.5\n",
"1047 No Alive 62.6\n",
"570 No Dead 56.2\n",
"1046 No Alive 20.3\n",
"1045 No Alive 48.5\n",
"1044 No Alive 32.2\n",
"574 No Alive 51.6\n",
"576 No Alive 41.4\n",
"577 No Dead 65.4\n",
"578 No Dead 67.7\n",
"579 No Alive 37.8\n",
"1042 No Alive 61.5\n",
"581 No Alive 23.9\n",
"582 No Alive 60.1\n",
"585 No Dead 75.6\n",
"586 No Dead 72.1\n",
"1039 No Alive 21.7\n",
"588 No Dead 55.3\n",
"1038 No Dead 81.8\n",
"590 No Dead 79.3\n",
"564 No Dead 29.8\n",
"1051 No Alive 53.8\n",
"1052 No Alive 20.7\n",
"561 No Alive 62.4\n",
"529 No Alive 25.5\n",
"1068 No Alive 49.4\n",
"533 No Alive 35.1\n",
"534 No Alive 38.0\n",
"... ... ... ...\n",
"1128 No Alive 19.1\n",
"396 No Alive 20.4\n",
"261 No Alive 49.1\n",
"1190 No Alive 38.7\n",
"268 No Alive 52.4\n",
"256 No Alive 52.6\n",
"398 No Alive 46.2\n",
"277 No Alive 55.3\n",
"1183 No Alive 57.5\n",
"278 No Dead 87.7\n",
"383 No Dead 74.1\n",
"1196 No Dead 76.2\n",
"273 No Alive 36.5\n",
"252 No Alive 20.1\n",
"384 No Alive 37.0\n",
"403 No Dead 78.0\n",
"250 No Alive 30.8\n",
"249 No Dead 84.3\n",
"404 No Alive 26.8\n",
"1131 No Alive 22.9\n",
"1184 No Alive 46.5\n",
"282 No Alive 18.5\n",
"1194 No Dead 83.3\n",
"255 No Alive 19.6\n",
"405 No Alive 63.0\n",
"276 No Alive 38.4\n",
"1124 No Alive 52.0\n",
"275 No Alive 38.8\n",
"1185 No Dead 73.8\n",
"280 No Alive 74.1\n",
"\n",
"[732 rows x 3 columns]"
]
},
"execution_count": 11,
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
......@@ -1512,15 +1512,15 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"732\n",
"582\n"
"582\n",
"732\n"
]
}
],
......@@ -1533,7 +1533,7 @@
},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": 8,
"metadata": {},
"outputs": [
{
......@@ -1542,7 +1542,7 @@
"139"
]
},
"execution_count": 13,
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
......@@ -1554,7 +1554,7 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 9,
"metadata": {},
"outputs": [
{
......@@ -1563,7 +1563,7 @@
"230"
]
},
"execution_count": 14,
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
......@@ -1575,15 +1575,15 @@
},
{
"cell_type": "code",
"execution_count": 20,
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Sur la période donnée, il y a pour les fumeuses un taux de mortalité de : 18.989071038251364 %\n",
"et il y a pour les non fumeuses un taux de mortalité de : 39.51890034364261 %\n"
"Sur la période donnée, il y a pour les fumeuses un taux de mortalité de : 23.883161512027492 %\n",
"et il y a pour les non fumeuses un taux de mortalité de : 31.420765027322407 %\n"
]
}
],
......@@ -1596,7 +1596,7 @@
},
{
"cell_type": "code",
"execution_count": 39,
"execution_count": 11,
"metadata": {},
"outputs": [
{
......@@ -1620,7 +1620,7 @@
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Fumeuses</th>\n",
" <th>Statut</th>\n",
" <th>tauxMortalite</th>\n",
" </tr>\n",
" </thead>\n",
......@@ -1628,55 +1628,44 @@
" <tr>\n",
" <th>0</th>\n",
" <td>Fumeuses</td>\n",
" <td>18.989071</td>\n",
" <td>23.883162</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>nonFumeuses</td>\n",
" <td>39.518900</td>\n",
" <td>31.420765</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Fumeuses tauxMortalite\n",
"0 Fumeuses 18.989071\n",
"1 nonFumeuses 39.518900"
" Statut tauxMortalite\n",
"0 Fumeuses 23.883162\n",
"1 nonFumeuses 31.420765"
]
},
"execution_count": 39,
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"d = {\"tauxMortalite\" : [tauxMortF*100, tauxMortNF*100], \"Fumeuses\" : [\"Fumeuses\", \"nonFumeuses\"]}\n",
"d = {\"tauxMortalite\" : [tauxMortF*100, tauxMortNF*100], \"Statut\" : [\"Fumeuses\", \"nonFumeuses\"]}\n",
"dt = pd.DataFrame(data = d)\n",
"dt"
]
},
{
"cell_type": "code",
"execution_count": 37,
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f2c371ac6d8>]],\n",
" dtype=object)"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
"<Figure size 576x360 with 1 Axes>"
]
},
"metadata": {
......@@ -1687,7 +1676,16 @@
],
"source": [
"%matplotlib inline\n",
"dt.hist(xrot=20)\n"
"plt.figure(figsize=(8, 5))\n",
"plt.bar(dt[\"Statut\"], dt[\"tauxMortalite\"], color=['salmon', 'skyblue'])\n",
"\n",
"# Titre et labels\n",
"plt.title(\"Taux de mortalité par statut de tabagisme\")\n",
"plt.xlabel(\"Statut\")\n",
"plt.ylabel(\"Taux de mortalité (%)\")\n",
"\n",
"# Affichage du graphique\n",
"plt.show()\n"
]
},
{
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment