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5018f86a352d0fd3119e8764eab1378c
mooc-rr
Commits
091fd113
Commit
091fd113
authored
Aug 13, 2024
by
5018f86a352d0fd3119e8764eab1378c
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exercice.ipynb
module2/exo3/exercice.ipynb
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module2/exo3/exercice.ipynb
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091fd113
{
{
"cells": [],
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Réaliser un affichage graphique\n",
"Réaliser un affichage graphique (séquence plot + histogramme) des données de l'exercice précédent."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"tableau=[14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plot"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"ax=plt.plot(tableau,color=\"blue\")\n",
"plt.grid(True)\n",
"plt.grid(color='gray', linestyle='--', linewidth=0.5)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Markdown"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD8CAYAAABn919SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAHUdJREFUeJzt3VFobNt5H/D/Z8ljpGjD2PtEOppIyW6Hu4WEpp10DnYgoZwQEtw82A4mUPvlQltOHmxIIAkYv8QQAnlJ8lQCaW18H1qXQNrauKaJudzBCZTrngnTbPlMNc6EfSNlFAlvM85WJDKVvPqgOcq51/ectT5ppDVL5/8DIWn23Jlv//XN5+191swWYwyIiCh87/FdABERTQcHOhHRHcGBTkR0R3CgExHdERzoRER3BAc6EdEdwYFORHRHcKATEd0RHOhERHfE/G0+2b1790ySJLf5lFM1Ho9RqVR8lzHzmJMdM3LDnC50Op3vGGN+2Ha/Wx3oSZLg8ePHt/mUU1WWJaIo8l3GzGNOdszIDXO6ICJvudyPp1wUOp2O7xKCwJzsmJEb5qTDga6wsLDgu4QgMCc7ZuSGOelwoCuEfP7/NjEnO2bkhjnpcKAr9Ho93yUEgTnZMSM3zEmHA12BRwtumJMdM3LDnHQ40BXKsvRdQhCYkx0zcsOcdDjQFYqi8F1CEJiTHTNyw5x0ONAVWq2W7xKCwJzsmJEb5qTDga7ANbFumJMdM3LDnHQ40BWWlpZ8lxAE5mT3bEb37ycQkVv/un8/8ReAI/aSzq2+9T90tVrNdwlBYE52z2Z0ePgWAHPrNRweyq0/pxZ7SYdH6Ar9ft93CUFgTnbMyA1z0uFAV6jX675LCAJzsmNGbpiTDge6ApdQuWFOdszIDXPS4UBXGI1GvksIAnOyY0ZumJMOB7oC18S6YU52zMgNc9LhQFfgmlg3zMmOGblhTjoc6ArVatV3CUFgTnbMyA1z0uFAV4jj2HcJQWBOdszIDXPS4UBXGAwGvksIAnOyY0ZumJMOB7pCmqa+SwgCc7JjRm6Ykw4HusJwOPRdQhCYkx0zcsOcdDjQFY6Pj32XEATmZMeM3DAnHQ50Ba6JdcOc7JiRG+akYx3oIrIuIm+ISE9EviUivzy5/QMi8nUR+fbk+/tvvly/uCbWDXOyY0ZumJOOyxH6GYBfNcZsAvgJAJ8SkS0AnwHwujHmFQCvT36/07iEyg1zsmNGbpiTjnWgG2MOjDF/Pvm5BNAD8CMAPgrgtcndXgPwsZsqclZEUeS7hCAwJztm5IY56ajOoYtIAuDHAbwJYMUYcwBcDH0Ay9Mubtbkee67hCAwJztm5IY56ThfsUhElgD8EYBfMcb8nYjb1U5E5BGAR8DF1Ufa7TY2NzeR5zlOT0/RarXQ6XSwvLyMSqWC/f19bG9vo9/v4/z8HI1GA91uF6urqwCAg4MDNJtNZFmGubk5pGmKnZ0drK2tYTwe4+jo6PIxFxYWkCQJer0ekiRBWZYoiuJy+9LSEmq1Gvr9Pur1OoqiwGg0utxerVYRxzEGgwHSNIUxBu12+3J7HMeIogh5nge7T8PhEMfHx1Pdp4WFBbTb7aD26dVX/x2Wlt6HLMuQpinm5+eRZRmazebl0rlarYZut4tGo4GzszP0+300Gg3s7e2hUqlgZWUFnU4HrVYLJycnyPMcW1tbyPMcURQhjuPL7QDwyU9+EhsbG1hfX0ccd1GtjtDptNBqdTAaVVEUMer1AXZ3U9RqQ0TR8eX2oohRlhGSJMeTJ5tIkhyLi6eX2w8PlzEeV7C+vo8s20aa9jE/f44sa6DZ7GI4XAWQzvzf6fj4GGVZvtSvJw0xxn7pKxF5L4CvAvhjY8zvTm7bBfDQGHMgIqsA2saYjRc9zoMHD8zjx49VBc6SN998Ex/60Id8lzHzQszp4gDl9i4D98EPvolvfvNpRrf73P9I4PL69ynEXroJItIxxjyw3c9llYsA+DyA3tNhPvEVAK9Ofn4VwJevUmhITk9PfZcQBOZkt7jIjFywl3SsR+gi8lMA/hRABuD7k5s/i4vz6H8I4EcB/DWAXzTGfPdFjxX6EXpZlvxHGgch5nTbR+hRVKIsn2bEI/TnCbGXbsLUjtCNMX9mjBFjzD8zxjQnX18zxhTGmJ8xxrwy+f7CYX4XcE2sG+Zk12oxIxfsJR2+U1RhefnOL+SZCuZkd3jIjFywl3Q40BUqlYrvEoLAnOzGY2bkgr2kw4GusL+/77uEIDAnu/V1ZuSCvaTDga6wvb3tu4QgMCe7LGNGLthLOhzoCv1+33cJQWBOdmnKjFywl3Q40BXOz899lxAE5mQ3P8+MXLCXdDjQFRqNhu8SgsCc7LKMGblgL+lwoCt0u13fJQSBOdk1m8zIBXtJhwNdQftBOS8r5mR38eFYZMNe0uFAJyK6IzjQFQ4ODnyXEATmZFerMSMX7CUdDnSFZrPpu4QgMCe7bpcZuWAv6XCgK2RZ5ruEIDAnu0aDGblgL+lwoCvMzc35LiEIzMnu7IwZuWAv6XCgK6Rp6ruEIDAnu36fGblgL+lwoCvs7Oz4LiEIzMmu0WBGLthLOhzoCmtra75LCAJzstvbY0Yu2Es6HOgK4/HYdwlBYE52lQozcsFe0uFAVzg6OvJdQhCYk93KCjNywV7S4UBXaLVavksIAnOy63SYkQv2kg4HugIvWOuGOdnxItFu2Es6HOgKCwsLvksIAnOyOzlhRi7YSzoc6ApJkvguIQjMyS7PE98lBIG9pMOBrtDr9XyXEATmZLe1xYxcsJd0ONAVeLTghjnZ8QjdDXtJhwNdoSxL3yUEgTnZRREzcsFe0uFAVyiKwncJQWBOdnHMjFywl3Q40BW4JtYNc7LjOnQ37CUdDnQFrol1w5zsuA7dDXtJhwNdYWlpyXcJQWBOdmXJjFywl3Q40BVqtZrvEoLAnOyGQ2bkgr2kw4Gu0O/3fZcQBOZkt7HBjFywl3TmfRcQknq97ruEIFwnp/v3ExwevjXFambTYMBecsHXnA6P0BW4hMrNdXK6GObGw9ft4rJFN3zN6XCgK4xGI98lBIE52VWrzMgFe0mHA12Ba2LdMCc7rkN3w17S4UBX4JpYN8zJjuvQ3bCXdDjQFarVqu8SgsCc7EYjZuSCvaRjHegi8gURORKRnWdu+5yI/I2IdCdfP3+zZc6GOI59lxAE5mRXFMzIBXtJx+UI/YsAPvwut/+eMaY5+fradMuaTYPBwHcJQWBOdvU6M3LBXtKxDnRjzDcAfPcWapl5aZr6LiEIzMlud5cZuWAv6VznHPqnReQvJqdk3j+1imbYcDj0XUIQmJNdrcaMXLCXdK76TtHfB/CbuHhHxm8C+B0A/+bd7igijwA8Ai4+l6HdbmNzcxN5nuP09BStVgudTgfLy8uoVCrY39/H9vY2+v0+zs/P0Wg00O12sbq6CgA4ODhAs9lElmWYm5tDmqbY2dnB2toaxuMxjo6OLh9zYWEBSZKg1+shSRKUZYmiKC63Ly0toVarod/vo16voygKjEajy+3VahVxHGMwGCBNU/T7fRwfH19uj+MYURQhz/Ng92k4HE59n/I8x/Hx8ZX3KYoyxHGBTqeFVquDslzCcFjDxkYfg0EdcVygWh1dbh+NqiiKGPX6ALu7KWq1IaLo+HJ7UcQoywhJkuPJk00kSY7FxdPL7YeHyxiP61hfbyPLtpGmfczPnyPLGmg2uxgOL/5OtdoBut0mGo0MZ2dz6PdTNBo72NtbQ6UyxsrK0eVjnpwsIM8TbG31kOcJoqh82z6trg6f2ad1xHH3BvapgvX1/RfsU4p2uz3Tvdfr9bCxsfFSv540xBj7u+REJAHwVWPMtmbbOz148MA8fvxYVeAsKcsSURT5LmPmXScnEYGPd24Ct/u8UVSiLJ9m5G+fXV7/PvE1d0FEOsaYB7b7XemUi4g8+z8bvwBg53n3vUu4JtYNc7LjOnQ37CUd6ykXEfkSgIcA7onIPoDfAPBQRJq4OKzIAfzSDdY4M7iEyg1zsuOyRTfsJR3rQDfGfOJdbv78DdQy8/h//dwwJ7t/PN1CL8Je0uE7RRXyPPddQhCYk12S5L5LCAJ7SYcDXWFzc9N3CUFgTnZPnjAjF+wlHQ50BR4tuGFOdjxCd8Ne0uFAVzg9PfVdQhCYk93iIjNywV7S4UBX4Gczu2FOdvw8dDfsJR0OdAWuiXXDnOy4Dt0Ne0mHA11heXnZdwlBYE52h4fMyAV7SYcDXaFSqfguIQjMyW48ZkYu2Es6HOgK+/v7vksIAnOyW19nRi7YSzoc6Arb29bPHyMwJxdZxoxcsJd0ONAV+v2+7xKCwJzs0pQZuWAv6XCgK5yfn/suIQjMyW5+nhm5YC/pcKArNBoN3yUEgTnZZRkzcsFe0uFAV+h2u75LCAJzsms2mZEL9pIOB7qC9nJQLyvmZPf0snb0YuwlHQ50IqI7ggNd4eDgwHcJQWBOdrUaM3LBXtLhQFdoNpu+SwgCc7LrdpmRC/aSDge6QpZlvksIAnOyazSYkQv2kg4HusLc3JzvEoLAnOzOzpiRC/aSDge6QpqmvksIAnOy6/eZkQv2kg4HusLOzo7vEoLAnOwaDWbkgr2kw4GusLa25ruEIDAnu709ZuSCvaTDga4wHo99lxAE5mRXqTAjF+wlHQ50haOjI98lBIE52a2sMCMX7CUdDnQFXrDWDXOy40Wi3bCXdDjQFXjBWjfMyY4XiXbDXtLhQFdYWFjwXUIQmJPdyQkzcsFe0uFAV0iSxHcJQWBOdnme+C4hCOwlHQ50hV6v57uEIDAnu60tZuSCvaTDga7AowU3zMmOR+hu2Es6HOgKZVn6LiEIzMkuipiRC/aSDge6QlEUvksIAnOyi2Nm5IK9pMOBrsA1sW6Ykx3XobthL+lwoCtwTawb5mTHdehu2Es6HOgKS0tLvksIAnOyK0tm5IK9pMOBrlCr1XyXEATmZDccMiMX7CUdDnSFfr/vu4QgMCe7jQ1m5IK9pGMd6CLyBRE5EpGdZ277gIh8XUS+Pfn+/pstczbU63XfJQSBOdkNBszIBXtJx+UI/YsAPvyO2z4D4HVjzCsAXp/8fudxCZUb5mTHZYtu2Es61oFujPkGgO++4+aPAnht8vNrAD425bpm0mg08l1CEJiTXbXKjFywl3Sueg59xRhzAACT78vTK2l2cU2sG+Zkx3XobthLOvM3/QQi8gjAI+DiX6zb7TY2NzeR5zlOT0/RarXQ6XSwvLyMSqWC/f19bG9vo9/v4/z8HI1GA91uF6urqwCAg4MDNJtNZFmGubk5pGmKnZ0drK2tYTwe4+jo6PIxFxYWkCQJer0ekiRBWZYoiuJy+9LSEmq1Gvr9Pur1OoqiwGg0utxerVYRxzEGgwHSNEW73UatVrvcHscxoihCnufB7tNwOMTx8fFU9ynLMty7d+/K+xRFGeK4QKfTQqvVQVkuYTisYWOjj8GgjjguUK2OLrePRlUURYx6fYDd3RS12hBRdHy5vShilGWEJMnx5MkmkiTH4uLp5fbDw2WMx3Wsr7eRZdtI0z7m58+RZQ00m10Mhxd/p1rtAN1uE41GhrOzOfT7KRqNHeztraFSGWNl5ejyMU9OFpDnCba2esjzBFFUvm2fVleHaLcfTvZpHXHcvYF9qmB9ff8F+3TR07Pce71eDx//+Mdf6teTat4aY1yGcgLgq8aY7cnvuwAeGmMORGQVQNsYs2F7nAcPHpjHjx+rCpwl3W4XzWbTdxkz7zo5iQgAe09O3+0+b7PZRbf7NCN/++zy+veJr7kLItIxxjyw3e+qp1y+AuDVyc+vAvjyFR8nKHEc+y4hCMzJriiYkQv2ko7LssUvAfhfADZEZF9E/i2A3wbwsyLybQA/O/n9zhsMBr5LCAJzsqvXmZEL9pKO9Ry6MeYTz9n0M1OuZealaeq7hCAwJ7vdXWbkgr2kw3eKKgyHQ98lBIE52dVqzMgFe0mHA13h+PjYdwlBYE52UcSMXLCXdDjQFbgm1g1zsuM6dDfsJR0OdAV+NrMb5mTHz0N3w17SufE3Ft0lL8sSqvv3ExwevnXl/77RaCDLsilWdPfMxrLF903W/d++lZUfw9/+bW6938vympsWDnSFKIp8l3ArLob51d9wUpY5gOSK/7WfAXPbynIWeukf4OcNTcDhodvf+WV5zU0LT7ko5Hnuu4QgJEnuu4SZx4zc8DWnw4GusLm56buEIDx5wpxsmJEbvuZ0ONAVeLTghkefdszIDV9zOhzoCqenp75LCMLiInOyYUZu+JrT4UBX4JpYN1xjbceM3PA1p8OBrsA1sW64xtqOGbnha06HA11hefmluDDTtR0eMicbZuSGrzkdrkNXqFQqvksIwnjMnGyYkdubmur1+lQ/Qtf1DU2h4hG6wv7+vu8SgrC+zpxsmNHTNzW9+Gt9/T863c/16zrvgA4BB7rC9va27xKCkGXMyYYZuWFOOhzoCv1+33cJQUhT5mTDjNwwJx0OdIXz83PfJQRhfp452TAjN8xJhwNdodFo+C4hCFnGnGyYkRvmpMOBrtDtdn2XEIRmkznZMCM3zEmHA11hdXXVdwlBGA6Zkw0zcsOcdDjQiYjuCA50hYODA98lBKFWY042zMgNc9LhQFdoNpu+SwhCt8ucbJiRG+akw4GuwOtkumk0mJMNM3LDnHQ40BXm5uZ8lxCEszPmZMOM3DAnHQ50hTRNfZcQhH6fOdkwIzfMSYcDXWFnZ8d3CUFoNJiTDTNyw5x0ONAV1tbWfJcQhL095mTDjNwwJx0OdIXxeOy7hCBUKszJhhm5YU46HOgKR0dHvksIwsoKc7JhRm6Ykw4HugIvWOuGF0C2Y0ZumJMOB7oCL1jrhhdAtmNGbpiTDge6wsLCgu8SgnBywpxsmJEb5qTDga6QJInvEoKQ54nvEmYeM3LDnHQ40BV6vZ7vEoKwtcWcbJiRG+akw4GuwCN0NzyqsmNGbpiTDge6QlmWvksIQhQxJxtm5IY56cxf5z8WkRxACeAcwJkx5sE0ippVRVH4LiEIccycbJiRG+akc62BPvHTxpjvTOFxZh7Xobvh2mE7ZuSGOenwlIsC16G74dphO2bkhjnpXHegGwB/IiIdEXk0jYJm2dLSku8SglCWzMmGGblhTjrXPeXyk8aYoYgsA/i6iPxfY8w3nr3DZNA/AoBarYZ2u43NzU3keY7T01O0Wi10Oh0sLy+jUqlgf38f29vb6Pf7OD8/R6PRQLfbxerqxdW/Dw4O0Gw2kWUZ5ubmkKYpdnZ2sLa2hvF4jKOjo8vHXFhYQJIk6PV6SJIEZVmiKIrL7UtLS6jVauj3+6jX6yiKAqPR6HJ7tVpFHMcYDAZI0xTf+9730G63L7fHcYwoipDn+Y3s06//+mfx938/wsrKCjqdDlqtFk5OTpDnOba2tpDnOaIoQhzHl9vLssRwOMTGxgYGgwHiOEa1Wr3cPhqNUBQF6vU6dnd3UavVEEXR5faiKJAkCZKkjSdPNpEkORYXT9HptNBqdXB4uIzxuIL19X1k2TbStI/5+XNkWQPNZhfD4Sre+97/h4cP2+h2m2g0MpydzaHfT9Fo7GBvbw2VyhgrK0eXj3lysoA8T7C11UOeJ4iiDHFcXG4vyyUMhzVsbPQxGNQRxwWq1dHl9tGoiqKIUa8PsLubolYbIoqOL7cXRYyyjJAk+Qv2qY719fZz9+mifw+usU/l2/bpPe85x+rqcLJP64jj7g3s04v/TkCKWu06f6fyGn+nVdRqj637tLx8hCgqFftk+zttvu01PO0ZMRwOcXx8PPUZ4cwYM5UvAJ8D8Gsvuk+r1TIhe+ONN271+QAYwHj4ut7zPnz4hrfnDuV5357Ry7HPV3nu6/XSuz9viAA8NsY+h698ykVEfkhEoqc/A/g5AHf60+jr9brvEoIwGDAnG2bkhjnpXOcc+gqAPxOR/wPgmwD+hzHmf06nrNnEZYtuuNTMjhm5YU46Vz6Hboz5KwD/fIq1zLzRaOS7hCBUq8zJhhm5YU46XLaowHXobrh22I4ZuWFOOhzoClyH7oZrh+2YkRvmpMOBrlCtVn2XEITRiDnZMCM3zEmHA10hjmPfJQShKJiTDTNyw5x0ghno9+8nEBEvX/fvJwCAwWDgN4RA1OvMyYYZuZl+Tu/zPkdu0jQ+nOtWHB6+BcB4em4BAKRp6uX5Q7O7y5xsmJGb6ef0D/A9R25SMEfos2A4HPouIQi1GnOyYUZumJMOB7rC8fGx7xKCEEXMyYYZuWFOOhzoClyH7oZrh+2YkRvmpMOBrsB16G64dtiOGblhTjoc6ApctuiGS83smJEb5qTDga4QRZHvEoJQlszJhhm5YU46HOgKeZ77LiEISZL7LmHmMSM3zEmHA11hc3PTdwlBePKEOdkwIzfMSYcD3cnFu8s+8pGP3Oo7y0LFoyo7ZuSGOekE805Rvy7eXba42Abw8BafN8yhvrh46ruEmceM3DAnHR6hK3BNrBvmZMeM3DAnHQ50Ba6JdcOc7JiRG+akw4GucHi47LuEIDAnO2bkhjnpcKArjMcV3yUEgTnZMSM3zEmHA11hfX3fdwlBYE52zMgNc9LhQFfIsm3fJQSBOdkxIzfMSYcDXSFN+75LCAJzsmNGbpiTDge6wvz8ue8SgsCc7JiRG+akw4GukGUN3yUEgTnZMSM3zEmHA12h2ez6LiEIzMmOGblhTjoc6ArD4arvEoLAnOyYkRvmpMOBTkR0R3CgK9RqB75LCAJzsmNGbpiTDge6Qrfb9F1CEJiTHTNyw5x0ONAVGo3MdwlBYE52zMgNc9LhQFc4O5vzXUIQmJMdM3LDnHQ40BX6/dR3CUFgTnbMyA1z0uFAV2g0dnyXEATmZMeM3DAnHQ50hb29Nd8lBIE52TEjN8xJhwNdoVIZ+y4hCMzJjhm5YU46HOgKKytHvksIAnOyY0ZumJMOB7oCL1jrhjnZMSM3zEnnWgNdRD4sIrsi8pci8plpFTWreMFaN8zJjhm5YU46Vx7oIjIH4N8D+FcAtgB8QkS2plXYLDo5WfBdQhCYkx0zcsOcdK5zhP5BAH9pjPkrY8wYwH8B8NHplDWb8jzxXUIQmJMdM3LDnHSuM9B/BMDeM7/vT267s7a2er5LCAJzsmNGbpiTzvw1/lt5l9vMD9xJ5BGAR5Nfj0Vkd7pPeVsE7TbuAfjObT+vH1d/3uvnFN4+a/1gRnd/n6/y3DfzmvO3zyJXfu4fc7nTdQb6PoD1Z35fAzB8552MMX8A4A+u8TwzQ0QeG2Me+K5j1jEnO2bkhjnpXOeUy/8G8IqI/BMRqQD41wC+Mp2yiIhI68pH6MaYMxH5NIA/BjAH4AvGmG9NrTIiIlK5zikXGGO+BuBrU6olBHfi1NEtYE52zMgNc1IQY37g3zGJiChAfOs/EdEdwYHuQERyEclEpCsij33XMytE5AsiciQiO8/c9gER+bqIfHvy/f0+a5wFz8npcyLyN5Oe6orIz/uscRaIyLqIvCEiPRH5loj88uR29pQjDnR3P22MaXIJ1dt8EcCH33HbZwC8box5BcDrk99fdl/ED+YEAL836anm5N+jXnZnAH7VGLMJ4CcAfGrycSLsKUcc6HRlxphvAPjuO27+KIDXJj+/BuBjt1rUDHpOTvQOxpgDY8yfT34uAfRw8e5z9pQjDnQ3BsCfiEhn8s5Xer4VY8wBcPECBbDsuZ5Z9mkR+YvJKRmeRniGiCQAfhzAm2BPOeNAd/OTxph/gYtPlvyUiPxL3wVR8H4fQB1AE8ABgN/xW87sEJElAH8E4FeMMX/nu56QcKA7MMYMJ9+PAPw3XHzSJL27QxFZBYDJd15y5l0YYw6NMefGmO8D+A9gTwEAROS9uBjm/8kY818nN7OnHHGgW4jID4lI9PRnAD8HgJcif76vAHh18vOrAL7ssZaZ9XRATfwC2FOQi0+u+jyAnjHmd5/ZxJ5yxDcWWYjIP8XFUTlw8c7a/2yM+S2PJc0MEfkSgIcA7gE4BPAbAP47gD8E8KMA/hrALxpjXup/EHxOTg9xcbrFAMgB/NLT88QvKxH5KQB/CiAD8P3JzZ/FxXl09pQDDnQiojuCp1yIiO4IDnQiojuCA52I6I7gQCciuiM40ImI7ggOdCKiO4IDnYjojuBAJyK6I/4/EYtTXepwNEgAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ax=plt.hist(tableau,color=\"blue\",ec=\"black\")\n",
"plt.grid(color='gray', linestyle='--', linewidth=0.5)"
]
}
],
"metadata": {
"metadata": {
"kernelspec": {
"kernelspec": {
"display_name": "Python 3",
"display_name": "Python 3",
...
@@ -16,10 +98,9 @@
...
@@ -16,10 +98,9 @@
"name": "python",
"name": "python",
"nbconvert_exporter": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"pygments_lexer": "ipython3",
"version": "3.6.
3
"
"version": "3.6.
4
"
}
}
},
},
"nbformat": 4,
"nbformat": 4,
"nbformat_minor": 2
"nbformat_minor": 2
}
}
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