Histogram updated with edgecolor

module2/exo3/exercice.ipynb

@@ -67,12 +67,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -84,16 +84,10 @@
     }
    ],
    "source": [
-    "plt.hist(a,color = \"#4CAF50\")\n",
+    "plt.grid(color = 'red', linestyle = '--', linewidth = 0.2)\n",
+    "plt.hist(a,color = \"#4CAF50\", edgecolor='black')\n",
     "plt.show()"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {