resultb

module3/exo3/exercice.ipynb

@@ -47,22 +47,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "         Date  Concentration\n",
-      "0  1958-03-29         316.19\n",
-      "1  1958-04-05         317.31\n",
-      "2  1958-04-12         317.69\n",
-      "3  1958-04-19         317.58\n",
-      "4  1958-04-26         316.48\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Charger les données dans une table de pandas\n",
     "# data = pd.read_csv(data_file, skiprows=44, sep=r'\\s+', engine='python', parse_dates=[0], index_col=[0], names = ['Date', 'Concentration'])\n",
@@ -73,7 +60,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -147,7 +134,7 @@
    "source": [
     "# Création du graphique pour montrer la concentration moyenne de CO2 par an au fil du temps\n",
     "plt.figure(figsize=(10, 6))\n",
-    "plt.plot(data['Date'], data['Mean CO2 Concentration'], label='Mean CO2 Concentration')\n",
+    "plt.plot(data['Date'], data['Mean CO2 Concentration'], label='Mean CO2 Concentration per Year Over Time')\n",
     "plt.title('Mean CO2 Concentration per Year Over Time')\n",
     "plt.xlabel('Year')\n",
     "plt.ylabel('CO2 Concentration (ppm)')\n",