as

module2/exo1/toy_notebook_fr.ipynb

@@ -78,26 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%matplotlib inline\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "\n",
-    "np.random.seed(seed=42)\n",
-    "N=1000\n",
-    "x = np.random.uniform(size=N, low=0, high=1)\n",
-    "y = np.random.uniform(size=N, low=0, high=1)\n",
-    "\n",
-    "accept = (x*x+y*y) <= 1\n",
-    "reject = np.logical_not(accept)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -114,6 +95,18 @@
     }
    ],
    "source": [
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "\n",
+    "np.random.seed(seed=42)\n",
+    "N=1000\n",
+    "x = np.random.uniform(size=N, low=0, high=1)\n",
+    "y = np.random.uniform(size=N, low=0, high=1)\n",
+    "\n",
+    "accept = (x*x+y*y) <= 1\n",
+    "reject = np.logical_not(accept)\n",
+    "\n",
     "fig, ax = plt.subplots(1)\n",
     "ax.scatter(x[accept], y[accept], c='b', alpha=0.2, edgecolor=None)\n",
     "ax.scatter(x[reject], y[reject], c='r', alpha=0.2, edgecolor=None)\n",