diff --git a/module2/exo1/toy_notebook_fr.ipynb b/module2/exo1/toy_notebook_fr.ipynb index 90aa4ed628c84e18c4eb91e41f3bb0727472fc94..70a7fe1e8865fe2f7e22857f7aa397096754b354 100644 --- a/module2/exo1/toy_notebook_fr.ipynb +++ b/module2/exo1/toy_notebook_fr.ipynb @@ -59,7 +59,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -68,7 +68,7 @@ "3.128911138923655" ] }, - "execution_count": 2, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -76,9 +76,9 @@ "source": [ "import numpy as np\n", "np.random.seed(seed=42)\n", - "N=10000\n", - "x=np.random.uniform(size=N, low=0, high=1)\n", - "theta=np.random.uniform(size=N, low=0, high=pi/2)\n", + "N = 10000\n", + "x = np.random.uniform(size=N, low=0, high=1)\n", + "theta = np.random.uniform(size=N, low=0, high=pi/2)\n", "2/(sum((x+np.sin(theta))>1)/N)" ] }, @@ -92,7 +92,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -113,15 +113,15 @@ "import matplotlib.pyplot as plt\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", - "accept=(x*x+y*y)<=1\n", - "reject=np.logical_not(accept)\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", + "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", + "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", "ax.set_aspect('equal')" ] },