From d7f0c34f48beeb07c8a8e9b2026a22f347d3b842 Mon Sep 17 00:00:00 2001 From: 80413079fb49c908946e2cd9dca7de3d <80413079fb49c908946e2cd9dca7de3d@app-learninglab.inria.fr> Date: Tue, 21 Sep 2021 20:52:59 +0000 Subject: [PATCH] Merged code lines --- module2/exo1/toy_notebook_fr.ipynb | 40 +++++++++--------------------- 1 file changed, 12 insertions(+), 28 deletions(-) diff --git a/module2/exo1/toy_notebook_fr.ipynb b/module2/exo1/toy_notebook_fr.ipynb index b0f8f44..1809332 100644 --- a/module2/exo1/toy_notebook_fr.ipynb +++ b/module2/exo1/toy_notebook_fr.ipynb @@ -96,32 +96,6 @@ "cell_type": "code", "execution_count": 3, "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "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)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": true - }, "outputs": [ { "data": { @@ -137,6 +111,16 @@ } ], "source": [ + "%matplotlib inline\n", + "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", "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", @@ -152,7 +136,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -161,7 +145,7 @@ "3.112" ] }, - "execution_count": 6, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } -- 2.18.1