Remplacer matplotlib.hist par matplotlib.bar

module3/exo3/exercice.ipynb

@@ -1032,24 +1032,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 86,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(array([18.,  8., 16.,  3.,  0.,  1.,  1.,  2.,  0.,  1.]),\n",
-       " array([26. , 33.3, 40.6, 47.9, 55.2, 62.5, 69.8, 77.1, 84.4, 91.7, 99. ]),\n",
-       " <a list of 10 Patch objects>)"
+       "<BarContainer object of 50 artists>"
       ]
      },
-     "execution_count": 41,
+     "execution_count": 86,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1061,7 +1059,7 @@
     }
    ],
    "source": [
-    "plt.hist(my_data[\"Wheat\"])"
+    "plt.bar(my_data[\"Unnamed: 0\"], my_data[\"Wheat\"])"
    ]
   },
   {
@@ -1109,6 +1107,33 @@
     "plt.fill_between(x, y1, color='#539ecd')"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Superposition des deux graphiques\n",
+    "\n",
+    "p = plt.bar(my_data[\"Unnamed: 0\"], my_data[\"Wheat\"]), plt.plot(my_data[\"Unnamed: 0\"], my_data[\"Wages\"], \"r--\")\n",
+    "#plt.fill_between(x, y2, color='#539ecd')\n",
+    "#plt.legend([p1, p2])\n",
+    "#plt.show()\n"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,