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mooc-rr
Commit e98cbc1e authored by f17b59eb16a55678f62ed05901ca5c81's avatar f17b59eb16a55678f62ed05901ca5c81
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module2/exo1/toy_notebook_fr.ipynb
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...@@ -11,7 +11,7 @@ ...@@ -11,7 +11,7 @@
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"## En demandant à la lib maths \n", "## En demandant à la lib maths\n",
"Mon ordinateur m'indique que $\\pi$ vaut *approximativement*" "Mon ordinateur m'indique que $\\pi$ vaut *approximativement*"
] ]
}, },
...@@ -93,8 +93,9 @@ ...@@ -93,8 +93,9 @@
} }
], ],
"source": [ "source": [
"%matplotlib inline\n", "%matplotlib inline \n",
"import matplotlib.pyplot as plt\n", "import matplotlib.pyplot as plt\n",
"\n",
"np.random.seed(seed=42)\n", "np.random.seed(seed=42)\n",
"N = 1000\n", "N = 1000\n",
"x = np.random.uniform(size=N, low=0, high=1)\n", "x = np.random.uniform(size=N, low=0, high=1)\n",
...@@ -103,6 +104,7 @@ ...@@ -103,6 +104,7 @@
"\n", "\n",
"accept = (x*x+y*y) <= 1\n", "accept = (x*x+y*y) <= 1\n",
"reject = np.logical_not(accept)\n", "reject = np.logical_not(accept)\n",
"\n",
"fig, ax = plt.subplots(1)\n", "fig, ax = plt.subplots(1)\n",
"ax.scatter(x[accept], y[accept], c='b', alpha=0.2, edgecolor=None)\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.scatter(x[reject], y[reject], c='r', alpha=0.2, edgecolor=None)\n",
......
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