{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "a = 0.7\n",
    "b = 2\n",
    "longueurs = np.arange(10)\n",
    "ecart = np.random.normal(0,1,10)\n",
    "valeurs = a*longueurs + b + 0.5*ecart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 1.74415298,  2.28900387,  2.66515751,  3.22369361,  4.75102876,\n",
       "        5.77744568,  7.01348165,  7.51017164,  7.11560104,  7.90809218])"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "valeurs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " (0,1.74)  (1,2.29)  (2,2.67)  (3,3.22)  (4,4.75)  (5,5.78)  (6,7.01)  (7,7.51)  (8,7.12)  (9,7.91) \n"
     ]
    }
   ],
   "source": [
    "ans = \"\"\n",
    "for (i,a) in enumerate(valeurs):\n",
    "    ans += \" ({},{}) \".format(longueurs[i],round(a,2))\n",
    "print(ans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.3"
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 },
 "nbformat": 4,
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}