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5541aec1a6493c0f44fc51db34e98cb7
mooc-rr
Commits
b810e5fb
Commit
b810e5fb
authored
Jul 13, 2021
by
5541aec1a6493c0f44fc51db34e98cb7
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Suivi de la température chambre froide avril 2010.xlsx
...o4/Suivi de la température chambre froide avril 2010.xlsx
+0
-0
exercice.ipynb
module2/exo4/exercice.ipynb
+982
-0
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module2/exo4/Suivi de la température chambre froide avril 2010.xlsx
0 → 100644
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b810e5fb
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module2/exo4/exercice.ipynb
View file @
b810e5fb
...
...
@@ -202,6 +202,988 @@
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Test chargement des données"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>SUIVI DE LA TEMPERATURE DE LA CHAMBRE FROIDE DU 01/04/2010 AU 30/04/2010</th>\n",
" <th>Unnamed: 1</th>\n",
" <th>Unnamed: 2</th>\n",
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" <td>Mesure</td>\n",
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" <td>Heure</td>\n",
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" <td>16:17:33</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>NaN</td>\n",
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" <td>2010-04-01 00:00:00</td>\n",
" <td>18:17:33</td>\n",
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" <td>NaN</td>\n",
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" <td>2010-04-02 00:00:00</td>\n",
" <td>08:17:33</td>\n",
" <td>7.1</td>\n",
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" <th>19</th>\n",
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" <th>20</th>\n",
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" <td>12:17:33</td>\n",
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" <td>NaN</td>\n",
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" <th>21</th>\n",
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" <td>14:17:33</td>\n",
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" <td>16:17:33</td>\n",
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" <td>NaN</td>\n",
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" <th>23</th>\n",
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" <td>4.8</td>\n",
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" <td>20:17:33</td>\n",
" <td>6.5</td>\n",
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" <th>25</th>\n",
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" <td>881</td>\n",
" <td>2010-04-02 00:00:00</td>\n",
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" <td>4.8</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>NaN</td>\n",
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" <td>00:17:33</td>\n",
" <td>4.6</td>\n",
" <td>NaN</td>\n",
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" <td>NaN</td>\n",
" <td>883</td>\n",
" <td>2010-04-03 00:00:00</td>\n",
" <td>02:17:33</td>\n",
" <td>7</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>NaN</td>\n",
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" <td>2010-04-03 00:00:00</td>\n",
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" <td>2010-04-03 00:00:00</td>\n",
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" <td>5</td>\n",
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" <td>04:17:33</td>\n",
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" <td>NaN</td>\n",
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" <th>341</th>\n",
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" <td>1197</td>\n",
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" <td>10:17:33</td>\n",
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" <th>345</th>\n",
" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <td>1202</td>\n",
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" <td>NaN</td>\n",
" <td>1203</td>\n",
" <td>2010-04-29 00:00:00</td>\n",
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" <td>5</td>\n",
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" <td>4.8</td>\n",
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" <td>2010-04-29 00:00:00</td>\n",
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" <td>4.5</td>\n",
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" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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" <th>351</th>\n",
" <td>NaN</td>\n",
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" <td>2010-04-30 00:00:00</td>\n",
" <td>02:17:33</td>\n",
" <td>4.5</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>352</th>\n",
" <td>NaN</td>\n",
" <td>1208</td>\n",
" <td>2010-04-30 00:00:00</td>\n",
" <td>04:17:33</td>\n",
" <td>4.7</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>353</th>\n",
" <td>NaN</td>\n",
" <td>1209</td>\n",
" <td>2010-04-30 00:00:00</td>\n",
" <td>06:17:33</td>\n",
" <td>5.1</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>354</th>\n",
" <td>NaN</td>\n",
" <td>1210</td>\n",
" <td>2010-04-30 00:00:00</td>\n",
" <td>08:17:33</td>\n",
" <td>4.5</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>355</th>\n",
" <td>NaN</td>\n",
" <td>1211</td>\n",
" <td>2010-04-30 00:00:00</td>\n",
" <td>10:17:33</td>\n",
" <td>5.3</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>356</th>\n",
" <td>NaN</td>\n",
" <td>1212</td>\n",
" <td>2010-04-30 00:00:00</td>\n",
" <td>12:17:33</td>\n",
" <td>4.9</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>357</th>\n",
" <td>NaN</td>\n",
" <td>1213</td>\n",
" <td>2010-04-30 00:00:00</td>\n",
" <td>14:17:33</td>\n",
" <td>4.8</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>358</th>\n",
" <td>NaN</td>\n",
" <td>1214</td>\n",
" <td>2010-04-30 00:00:00</td>\n",
" <td>16:17:33</td>\n",
" <td>4.5</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>359</th>\n",
" <td>NaN</td>\n",
" <td>1215</td>\n",
" <td>2010-04-30 00:00:00</td>\n",
" <td>18:17:33</td>\n",
" <td>4.5</td>\n",
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" <tr>\n",
" <th>360</th>\n",
" <td>NaN</td>\n",
" <td>1216</td>\n",
" <td>2010-04-30 00:00:00</td>\n",
" <td>20:17:33</td>\n",
" <td>4.5</td>\n",
" <td>NaN</td>\n",
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" <tr>\n",
" <th>361</th>\n",
" <td>NaN</td>\n",
" <td>1217</td>\n",
" <td>2010-04-30 00:00:00</td>\n",
" <td>22:17:33</td>\n",
" <td>5.1</td>\n",
" <td>NaN</td>\n",
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" <tr>\n",
" <th>362</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>363</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>364</th>\n",
" <td>NaN</td>\n",
" <td>Valeur min (°C)</td>\n",
" <td>4.2</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>365</th>\n",
" <td>NaN</td>\n",
" <td>Valeur max (°C)</td>\n",
" <td>8.6</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>366</th>\n",
" <td>NaN</td>\n",
" <td>Moyenne (°C)</td>\n",
" <td>5.20278</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>367 rows × 6 columns</p>\n",
"</div>"
],
"text/plain": [
" SUIVI DE LA TEMPERATURE DE LA CHAMBRE FROIDE DU 01/04/2010 AU 30/04/2010 \\\n",
"0 NaN \n",
"1 NaN \n",
"2 NaN \n",
"3 NaN \n",
"4 NaN \n",
"5 NaN \n",
"6 NaN \n",
"7 NaN \n",
"8 NaN \n",
"9 NaN \n",
"10 NaN \n",
"11 NaN \n",
"12 NaN \n",
"13 NaN \n",
"14 NaN \n",
"15 NaN \n",
"16 NaN \n",
"17 NaN \n",
"18 NaN \n",
"19 NaN \n",
"20 NaN \n",
"21 NaN \n",
"22 NaN \n",
"23 NaN \n",
"24 NaN \n",
"25 NaN \n",
"26 NaN \n",
"27 NaN \n",
"28 NaN \n",
"29 NaN \n",
".. ... \n",
"337 NaN \n",
"338 NaN \n",
"339 NaN \n",
"340 NaN \n",
"341 NaN \n",
"342 NaN \n",
"343 NaN \n",
"344 NaN \n",
"345 NaN \n",
"346 NaN \n",
"347 NaN \n",
"348 NaN \n",
"349 NaN \n",
"350 NaN \n",
"351 NaN \n",
"352 NaN \n",
"353 NaN \n",
"354 NaN \n",
"355 NaN \n",
"356 NaN \n",
"357 NaN \n",
"358 NaN \n",
"359 NaN \n",
"360 NaN \n",
"361 NaN \n",
"362 NaN \n",
"363 NaN \n",
"364 NaN \n",
"365 NaN \n",
"366 NaN \n",
"\n",
" Unnamed: 1 Unnamed: 2 Unnamed: 3 Unnamed: 4 \\\n",
"0 NaN NaN NaN NaN \n",
"1 Mesure Date Heure [°C] chambre froide \n",
"2 858 2010-04-01 00:00:00 00:17:33 5 \n",
"3 859 2010-04-01 00:00:00 02:17:33 6.3 \n",
"4 860 2010-04-01 00:00:00 04:17:33 5.3 \n",
"5 861 2010-04-01 00:00:00 06:17:33 4.5 \n",
"6 862 2010-04-01 00:00:00 08:17:33 6.7 \n",
"7 863 2010-04-01 00:00:00 10:17:33 4.4 \n",
"8 864 2010-04-01 00:00:00 12:17:33 4.5 \n",
"9 865 2010-04-01 00:00:00 14:17:33 8.6 \n",
"10 866 2010-04-01 00:00:00 16:17:33 4.5 \n",
"11 867 2010-04-01 00:00:00 18:17:33 4.7 \n",
"12 868 2010-04-01 00:00:00 20:17:33 7.2 \n",
"13 869 2010-04-01 00:00:00 22:17:33 5.3 \n",
"14 870 2010-04-02 00:00:00 00:17:33 4.5 \n",
"15 871 2010-04-02 00:00:00 02:17:33 6.9 \n",
"16 872 2010-04-02 00:00:00 04:17:33 4.9 \n",
"17 873 2010-04-02 00:00:00 06:17:33 4.8 \n",
"18 874 2010-04-02 00:00:00 08:17:33 7.1 \n",
"19 875 2010-04-02 00:00:00 10:17:33 4.9 \n",
"20 876 2010-04-02 00:00:00 12:17:33 4.9 \n",
"21 877 2010-04-02 00:00:00 14:17:33 6.5 \n",
"22 878 2010-04-02 00:00:00 16:17:33 6.1 \n",
"23 879 2010-04-02 00:00:00 18:17:33 4.8 \n",
"24 880 2010-04-02 00:00:00 20:17:33 6.5 \n",
"25 881 2010-04-02 00:00:00 22:17:33 4.8 \n",
"26 882 2010-04-03 00:00:00 00:17:33 4.6 \n",
"27 883 2010-04-03 00:00:00 02:17:33 7 \n",
"28 884 2010-04-03 00:00:00 04:17:33 4.5 \n",
"29 885 2010-04-03 00:00:00 06:17:33 5.1 \n",
".. ... ... ... ... \n",
"337 1193 2010-04-28 00:00:00 22:17:33 5 \n",
"338 1194 2010-04-29 00:00:00 00:17:33 4.7 \n",
"339 1195 2010-04-29 00:00:00 02:17:33 5 \n",
"340 1196 2010-04-29 00:00:00 04:17:33 4.5 \n",
"341 1197 2010-04-29 00:00:00 06:17:33 4.6 \n",
"342 1198 2010-04-29 00:00:00 08:17:33 5 \n",
"343 1199 2010-04-29 00:00:00 10:17:33 4.6 \n",
"344 1200 2010-04-29 00:00:00 12:17:33 5.3 \n",
"345 1201 2010-04-29 00:00:00 14:17:33 5 \n",
"346 1202 2010-04-29 00:00:00 16:17:33 4.5 \n",
"347 1203 2010-04-29 00:00:00 18:17:33 5 \n",
"348 1204 2010-04-29 00:00:00 20:17:33 4.8 \n",
"349 1205 2010-04-29 00:00:00 22:17:33 4.5 \n",
"350 1206 2010-04-30 00:00:00 00:17:33 4.5 \n",
"351 1207 2010-04-30 00:00:00 02:17:33 4.5 \n",
"352 1208 2010-04-30 00:00:00 04:17:33 4.7 \n",
"353 1209 2010-04-30 00:00:00 06:17:33 5.1 \n",
"354 1210 2010-04-30 00:00:00 08:17:33 4.5 \n",
"355 1211 2010-04-30 00:00:00 10:17:33 5.3 \n",
"356 1212 2010-04-30 00:00:00 12:17:33 4.9 \n",
"357 1213 2010-04-30 00:00:00 14:17:33 4.8 \n",
"358 1214 2010-04-30 00:00:00 16:17:33 4.5 \n",
"359 1215 2010-04-30 00:00:00 18:17:33 4.5 \n",
"360 1216 2010-04-30 00:00:00 20:17:33 4.5 \n",
"361 1217 2010-04-30 00:00:00 22:17:33 5.1 \n",
"362 NaN NaN NaN NaN \n",
"363 NaN NaN NaN NaN \n",
"364 Valeur min (°C) 4.2 NaN NaN \n",
"365 Valeur max (°C) 8.6 NaN NaN \n",
"366 Moyenne (°C) 5.20278 NaN NaN \n",
"\n",
" Unnamed: 5 \n",
"0 NaN \n",
"1 NaN \n",
"2 NaN \n",
"3 NaN \n",
"4 NaN \n",
"5 NaN \n",
"6 NaN \n",
"7 NaN \n",
"8 NaN \n",
"9 NaN \n",
"10 NaN \n",
"11 NaN \n",
"12 NaN \n",
"13 NaN \n",
"14 NaN \n",
"15 NaN \n",
"16 NaN \n",
"17 NaN \n",
"18 NaN \n",
"19 NaN \n",
"20 NaN \n",
"21 NaN \n",
"22 NaN \n",
"23 NaN \n",
"24 NaN \n",
"25 NaN \n",
"26 NaN \n",
"27 NaN \n",
"28 NaN \n",
"29 NaN \n",
".. ... \n",
"337 NaN \n",
"338 NaN \n",
"339 NaN \n",
"340 NaN \n",
"341 NaN \n",
"342 NaN \n",
"343 NaN \n",
"344 NaN \n",
"345 NaN \n",
"346 NaN \n",
"347 NaN \n",
"348 NaN \n",
"349 NaN \n",
"350 NaN \n",
"351 NaN \n",
"352 NaN \n",
"353 NaN \n",
"354 NaN \n",
"355 NaN \n",
"356 NaN \n",
"357 NaN \n",
"358 NaN \n",
"359 NaN \n",
"360 NaN \n",
"361 NaN \n",
"362 NaN \n",
"363 NaN \n",
"364 NaN \n",
"365 NaN \n",
"366 NaN \n",
"\n",
"[367 rows x 6 columns]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"data = pd.read_excel('Suivi de la température chambre froide avril 2010.xlsx')\n",
"data"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: xlrd in /opt/conda/lib/python3.6/site-packages (1.2.0)\r\n"
]
}
],
"source": [
"!pip install xlrd"
]
},
{
"cell_type": "code",
"execution_count": 12,
"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>SUIVI DE LA TEMPERATURE DE LA CHAMBRE FROIDE DU 01/04/2010 AU 30/04/2010</th>\n",
" <th>Unnamed: 1</th>\n",
" <th>Unnamed: 2</th>\n",
" <th>Unnamed: 3</th>\n",
" <th>Unnamed: 4</th>\n",
" <th>Unnamed: 5</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>NaN</td>\n",
" <td>Mesure</td>\n",
" <td>Date</td>\n",
" <td>Heure</td>\n",
" <td>[°C] chambre froide</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>NaN</td>\n",
" <td>858</td>\n",
" <td>2010-04-01 00:00:00</td>\n",
" <td>00:17:33</td>\n",
" <td>5</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>NaN</td>\n",
" <td>859</td>\n",
" <td>2010-04-01 00:00:00</td>\n",
" <td>02:17:33</td>\n",
" <td>6.3</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>NaN</td>\n",
" <td>860</td>\n",
" <td>2010-04-01 00:00:00</td>\n",
" <td>04:17:33</td>\n",
" <td>5.3</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>NaN</td>\n",
" <td>861</td>\n",
" <td>2010-04-01 00:00:00</td>\n",
" <td>06:17:33</td>\n",
" <td>4.5</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>NaN</td>\n",
" <td>862</td>\n",
" <td>2010-04-01 00:00:00</td>\n",
" <td>08:17:33</td>\n",
" <td>6.7</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>NaN</td>\n",
" <td>863</td>\n",
" <td>2010-04-01 00:00:00</td>\n",
" <td>10:17:33</td>\n",
" <td>4.4</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>NaN</td>\n",
" <td>864</td>\n",
" <td>2010-04-01 00:00:00</td>\n",
" <td>12:17:33</td>\n",
" <td>4.5</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>NaN</td>\n",
" <td>865</td>\n",
" <td>2010-04-01 00:00:00</td>\n",
" <td>14:17:33</td>\n",
" <td>8.6</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" SUIVI DE LA TEMPERATURE DE LA CHAMBRE FROIDE DU 01/04/2010 AU 30/04/2010 \\\n",
"0 NaN \n",
"1 NaN \n",
"2 NaN \n",
"3 NaN \n",
"4 NaN \n",
"5 NaN \n",
"6 NaN \n",
"7 NaN \n",
"8 NaN \n",
"9 NaN \n",
"\n",
" Unnamed: 1 Unnamed: 2 Unnamed: 3 Unnamed: 4 Unnamed: 5 \n",
"0 NaN NaN NaN NaN NaN \n",
"1 Mesure Date Heure [°C] chambre froide NaN \n",
"2 858 2010-04-01 00:00:00 00:17:33 5 NaN \n",
"3 859 2010-04-01 00:00:00 02:17:33 6.3 NaN \n",
"4 860 2010-04-01 00:00:00 04:17:33 5.3 NaN \n",
"5 861 2010-04-01 00:00:00 06:17:33 4.5 NaN \n",
"6 862 2010-04-01 00:00:00 08:17:33 6.7 NaN \n",
"7 863 2010-04-01 00:00:00 10:17:33 4.4 NaN \n",
"8 864 2010-04-01 00:00:00 12:17:33 4.5 NaN \n",
"9 865 2010-04-01 00:00:00 14:17:33 8.6 NaN "
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head(10)"
]
},
{
"cell_type": "code",
"execution_count": null,
...
...
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