{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# La loi d’Ohm (version professeur, polyfit et sans fonction)\n",
    "\n",
    "\n",
    "Mathilde, élève de 2nde, souhaite tracer la caractéristique d’un dipôle ohmique, c’est-à-dire la courbe donnant les valeurs de la tension aux bornes du dipôle ohmique en fonction des valeurs de l’intensité du courant qui le traverse.\n"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "raw_mimetype": "text/restructuredtext"
   },
   "source": [
    ":download:`Télécharger le pdf <./loi_ohm_prof_polyfit_sans_fonction.pdf>`\n",
    "\n",
    ":download:`Télécharger le notebook <./loi_ohm_prof_polyfit_sans_fonction-download.ipynb>`\n",
    "\n",
    ":download:`Lancer le notebook sur binder (lent) <https://mybinder.org/v2/gl/pyspc%2Fpyspc/master?filepath=07-activites%2F02-seconde%2Floi_d_ohm%2Floi_ohm_prof_polyfit_sans_fonction.ipynb>`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Elle a schématisé le circuit de son expérience :\n",
    "\n",
    "![circuit.png](circuit.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Dans la cellule ci-dessous, indiquer la signification des symboles X et Y et le nom des bornes 1, 2, 3, 4."
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "X :         1 :             2 :\n",
    "Y :         3 :             4 :\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Mathilde relève les mesures expérimentales suivantes :\n",
    "\n",
    "![tableau.png](tableau.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. Aider Mathilde à coder la deuxième ligne du tableau de valeurs dans la cellule vide ci-dessous en vous aidant du code de la première ligne (attention les valeurs de l'intensité y ont été converties en ampère)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.    0.025 0.05  0.075 0.1   0.125]\n"
     ]
    }
   ],
   "source": [
    " # array signifie tableau en anglais\n",
    "I=np.array([0,25e-3,50e-3,75e-3,100e-3,125e-3]) \n",
    "print (I)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.  1.8 3.3 5.2 6.8 8.5]\n"
     ]
    }
   ],
   "source": [
    "U=np.array([0,1.8,3.3,5.2,6.8,8.5])\n",
    "print(U)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. Mathilde veut maintenant afficher la caractéristique « intensité-tension » du dipôle ohmique en respectant les consignes suivantes :\n",
    "\n",
    "    - axe des abscisses (horizontal) : Intensité I (mA)\n",
    "    - axe des ordonnées (vertical) : Tension U(V)\n",
    "    - points expérimentaux : croix + de couleur rouge \n",
    "    - Titre: \"Caractéristique Intensité-Tension d’un dipôle ohmique\"\n",
    "\n",
    "Les cellules ci-dessous contiennent chacune une ligne du code nécessaire à l'affichage de la caractéristique. \n",
    "Exécuter chaque cellule au fur et à mesure afin de comprendre leur utilité. Noter si besoin des commentaires dans les cellules laissées vides à cet effet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 864x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f6500207be0>]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "plt.plot(I,U)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "commentaire : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f65001992b0>]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "plt.plot(I,U,'r+')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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": [
    "plt.plot(I,U,'r+')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "commentaire : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f6500135898>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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jEfFEd2PNyHmSfqrmU/Slkp6x/c2IeLm7seYf22dI+gdJ10TE5GcVpavqiLvIBw6/v03rqeAHJY0XvG0V2hmDbC+T9M+SfisiKv8fenK+lpmM4XxJX7S9R9INkv7EzY+0q1I7+UclPR0Rb0bET9T8RKePl574aO2M4bOSHouIgxHxhqT/kNSNt2O38zvZC7/PbWWw/XOS/kXSrRHxbIezFVPRyYA+NU9CLNfhkwHnTNrm93XkCZl/bK2foyNPTr6s7pxUamcMS1rb/3rVuTs1hknb1NWdk5Pt3AdLJW1T86Ren6RvSro02Rg+L+nLrfVTJL0oaXUvjmHCtn+vo09OvtK6P5a21j+UKP+Jkp6QdEPVP/cjclX4w/qMpO+oOR90a+uyP5O0sbW+UM1XK+yW9F+SPjLhtre2bveSpE937Yc1yzFI+lM15ya3T1hOzzSGSfuoqwvF3YHH0VVqnlj9b0lfTPg4Wty6fKeapX1zD4/hE2o+y3lbzWcLOyfc9ndaY9st6dpM+VuPoYOTfpfXVJ2fd04CQDK8cxIAkqG4ASAZihsAkqG4ASAZihsAkqG4ASAZihsAkqG4ASCZ/wfcPd4pNII9QAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(I,U,'r+',label='U=f(I)')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "commentaire : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'intensité I (A)')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "plt.xlabel(\"intensité I (A)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "commentaire : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'tension U (V)')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "plt.ylabel(\"tension U (V)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "commentaire : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "commentaire : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Caractéristique Intensité-Tension d’un dipôle ohmique')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "plt.title(\"Caractéristique Intensité-Tension \"\n",
    "          \"d’un dipôle ohmique\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "commentaire : "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4. Exécutez maintenant le programme en entier! "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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7bKUPlgf9MH36YHnQD9OnD6ZvJffBpk2bLmqtbetqND+xrILymjVrcvLJJy95uxs3bsy6deuWvF220gfLg36YPn2wPOiH6dMH07eS+6CqFvRtlKZeAABAh6AMAAAdgjIAAHQsqznKAAAsjquvvjrnnnturrrqqp3a/2Y3u1nOOOOMRa5qae2555458MADs8cee+zU/oIyAMAKdO6552bvvffOmjVrUlU7vP8VV1yRvffeewKVLY3WWjZv3pxzzz03Bx100E4dw9QLAIAV6Kqrrsr++++/UyF5Jaiq7L///js9op4IygAAK9b1NSTP2NXHLygDAECHoAwAAB2CMgAAW61fv2iHOuuss3LooYfOOfz6vOY1r1nQ/kcddVTufve753Wve12S5LnPfW4++clPJknWrVv3k290fuADH5hLLrlk0eqeISgDALDVS1867QqSJBdccEE+//nP59RTT83znve8bN68OZ/97Gdz//vf/zrbPulJT8pf//VfL3oNgjIAAMvOgx/84Jx33nk57LDD8u///u9573vfmyOPPLK77SMe8Ygcf/zxi16DoAwAcH23fn1SNdySpCp777PPok7DmOvVr351DjvssOvcnv3sZydJPvCBD+Tggw/OKaeckvvd73759Kc/nXve857dY+233375wQ9+kM2bNy9qjb5wBADg+m79+q2huCppbVG+cGRbl2erqhxzzDF5/vOfv+Bjffvb384tb3nLba6/1a1ulfPPPz/777//Dte5LYIyAAATsf/++1/nJLuLL744Bx10UF796lfn3e9+93X2uf/97583vOEN11m+1157bffLQ6666qrstddeu170LIIyAABbHXvsoh1q9erVufWtb52Pf/zjOeKII3LxxRfnox/9aJ7znOfk4IMP3qER5bve9a4588wzs27duuusa63lggsuyJo1axat9sQcZQAAZlvkecnveMc78vKXvzyHHXZYjjjiiBx77LE5+OCDd/g4D3vYw7Jx48buuk2bNuU+97lPVq1a3DFgI8oAAEzMIYcckk984hM7vN+aNWty2mmn/eTn+93vfnnRi16USy+9NPvuu++1QvM73/nOPOMZz1iMcq/FiDIAALuF1772tTn77LOvs/zQQw/NAx7wgEVvz4gyAMAK1Vrb5pUndkf3vve9u8uf9rSndZe31napPSPKAAAr0J577pnNmzfvclicqPPPn9ihW2vZvHlz9txzz50+hhFlAIAV6MADD8y5556bCy+8cKf2v+qqq3YpZC7It76VXHbZxA6/55575sADD9zp/QVlAIAVaI899shBBx200/tv3Lgx97jHPRaxoo5DDkmW8Yi3qRcAACydztdlp2qiX5e9s4woAwCwdDpfl71cGVEGAIAOQRkAgOlYxK/LngRBGQCA6ViG85JnE5QBAKBDUAYAgA5BGQAAOgRlAADoEJQBAKBDUAYAgA5BGQAAOgRlAADoEJQBAKBDUAYAgA5BGQAAOgRlAADoEJQBAKBDUAYAgA5BGQAAOgRlAADoEJQBAKBDUAYAgA5BGQAAOgRlAADoEJQBAKBjokG5qp5XVadX1WlVdXxV7TnJ9gAAYLFMLChX1W2TPDvJ2tbaoUlumORxk2oPAAAW06SnXqxKsldVrUpykyTnT7g9AABYFNVam9zBq56T5BVJvp/kn1trT+hsc3SSo5PkgAMOuOeGDRsmVs+2bNmyJatXr17ydtlKHywP+mH69MHyoB+mTx9M30rug8MPP3xTa23tfNtNLChX1X5J3pvksUkuTfL3SU5srb1rW/usXbu2nXzyyROpZ3s2btyYdevWLXm7bKUPlgf9MH36YHnQD9OnD6ZvJfdBVS0oKE9y6sUDk3yztXZha+3qJO9L8j8m2B4AACyaSQbls5Pcp6puUlWV5AFJzphgewAAsGgmFpRba59LcmKSLyT50tjWWybVHgAALKZVkzx4a+3YJMdOsg0AAJgE38wHAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAsOysefvbp10CCMoAwPKz5rjjpl0CCMoAANAjKAMAy8P69UnVcEu23l+/fppVcT22atoFAAAkGQLxTCiuSlqbZjVgRBkAAHoEZQBg2TnryU+edgkgKAMAy89ZT3nKtEsAQRkAAHoEZQAA6BCUAQCgQ1AGAIAOQRkAADoEZQAA6BCUAQCgQ1AGAIAOQRkAADoEZQAA6BCUAQCgQ1AGAIAOQRkAADoEZQAA6BCUAQCgQ1AGAIAOQRkAADoEZQAA6BCUAQCgQ1AGAIAOQRkAADoEZQAA6BCUAQCgQ1AGAIAOQRkAADoEZQAA6BCUAQCgQ1AGAIAOQRkAADoEZQAA6BCUAQCgQ1AGAIAOQRkAADoEZQAA6BCUAQCgQ1AGAIAOQRkAADoEZQAA6JhoUK6qfavqxKr6SlWdUVW/OMn2AABgsaya8PFfn+SjrbVHV9WNktxkwu0BAMCimFhQrqqbJbl/kqckSWvth0l+OKn2AABgMVVrbTIHrjosyVuSfDnJzyXZlOQ5rbUr52x3dJKjk+SAAw6454YNGyZSz/Zs2bIlq1evXvJ22UofLA/6Yfr0wfKgH6ZPH0zfSu6Dww8/fFNrbe18200yKK9N8tkk922tfa6qXp/k8tba/97WPmvXrm0nn3zyROrZno0bN2bdunVL3i5b6YPlQT9Mnz5YHvTD9OmD6VvJfVBVCwrKkzyZ79wk57bWPjf+fGKSn59gewAAsGgmFpRbaxckOaeqfnpc9IAM0zAAAGDZm/RVL34vybvHK158I8lvT7g9AABYFBMNyq21U5LMO/8DAACWG9/MBwAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDMDuZf36aVcAXE8IygDsXl760mlXAFxPCMoAANAhKAOw/K1fn1QNt2TrfdMwgAlaNe0CAGBe69dvDcVVSWvTrAa4njCiDAAAHYIyALuXY4+ddgXA9YSgDMDuxbxkYIkIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAx6qFbFRVN0jyc0luk+T7SU5rrX13koUBAMA0bTcoV9XBSV6Q5IFJvpbkwiR7JrlLVX0vyZuTHNda+/GkCwUAgKU034jynyR5U5Knt9ba7BVVdaskj0/ypCTHTaY8AACYjvmC8m+11q7urRinXvzl4pcEAADTN9/JfOdV1Vur6gFVVUtSEQAALAPzBeW7Jvl8khcnOaeqXl9V95l8WQAAMF3bDcqttc2ttTe31g5Pcq8k30jyuqr6elW9YkkqBACAKVjwdZRba+cneVuGk/uuSPLUSRUFAADTNm9Qrqo9q+o3q+p9Sc5MckSSF2a4pjIAAKxI811H+T0ZrqH8b0neneTxrbWrlqIwAACYpvkuD/fRDNdQvmIpigEAgOVivqkXP06yZVsrq+rgqvqlxS0JAACmb74R5f2TnFJVm5JsytavsL5Tkl9OclGG+coAALCibDcot9ZeX1VvzHAC332T3D3J95OckeRJrbWzJ18iAAAsvflGlNNa+1GSk8YbAABcLyz4OsoAAHB9IigDAECHoAwAAB3zfeHI789Z1DJc6eJTrbVvTqwqAACYsvlGlPeec9snydokH6mqx024NgAAmJr5Lg/30t7yqrp5kn9JsmESRQEAwLTt1Bzl1trFSWqRawEAgGVjp4JyVR2e5JJFrgUAAJaN+U7m+1KGE/hmu3mS85P81qSKAgCAaZvvm/kePufnlmRza+3KCdUDAADLwnwn831rqQoBAIDlxBeOAABAh6AMAAAdgjIAAHQsKChX1W9U1deq6rKquryqrqiqyyddHAAATMt8V72Y8aokv9paO2OSxQAAwHKx0KkX3xGSAQC4PlnoiPLJVXVCkn9I8oOZha21902kKgAAmLKFBuV9knwvyYNnLWtJBGUAAFakBQXl1tpvT7oQAABYThZ61YsDq+r9VfXd8fbeqjpw0sUBAMC0LPRkvv+X5ANJbjPePjguAwCAFWmhQfmWrbX/11q7Zry9PcktJ1gXAABM1UKD8uaqemJV3XC8PTHJ5kkWBgAA07TQoPw7SR6T5IIk307y6CRO8AMAYMVa6FUvvpXkEROuBQAAlo3tBuWq+sPW2quq6v9kuG7ytbTWnj2xygAAYIrmG1Ge+drqk3e2gaq64bj/ea21h+/scQAAYCltNyi31j44/nvczLKqukGS1a21yxfYxnMyBO59drZIAABYagv9wpH3VNU+VXXTJKcl+XJVPX8B+x2Y5GFJ3rprZQIAwNKq1q4z9fi6G1Wd0lo7rKqekOTnk7wwyabW2t3n2e/EJH+WZO8kx/SmXlTV0UmOTpIDDjjgnhs2bNjxR7GLtmzZktWrVy95u2ylD5YH/TB9+mB50A/Tpw+mbyX3weGHH76ptbZ2vu0WdNWLJHtU1R5Jfi3JG1trV1fVdhN2VT08yXdba5uqat22tmutvSXJW5Jk7dq1bd26bW46MRs3bsw02mUrfbA86Ifp0wfLg36YPn0wffpg4ddRfnOSs5LcNMknq+oOSeabo3zfJI+oqrOSbEhyRFW9ayfrBACAJbWgoNxae0Nr7battYe2wbeSHD7PPi9qrR3YWluT5HFJPt5ae+KulwwAAJO3oKkXVXXjJI9KsmbOPi+bQE0AADB1C52j/I9JLkuyKckPdrSR1trGJBt3dD8AAJiWhQblA1trR060EgAAWEYWejLff1TVz060EgAAWEYWOqL8S0meUlXfzDD1opK0+a6jDAAAu6uFBuVfmWgVAACwzCz08nDfSnK7JEeM97+30H0BAGB3tKCwW1XHJnlBkheNi/ZI4stDAABYsRY6KvzrSR6R5Mokaa2dn2TvSRUFAADTttCg/MPWWkvSkqSqbjq5kgAAYPoWGpT/rqrenGTfqnpakn9J8tbJlQUAANO1oKtetNZeU1UPSnJ5kp9O8pLW2kkTrQwAAKZoQUG5ql7ZWntBkpM6ywAAYMVZ6NSLB3WWubYyAAAr1nZHlKvqfyV5RpI7VtWps1btneTTkywMAACmab6pF+9J8pEkf5bkhbOWX9Fau3hiVQEAwJRtNyi31i5LclmSo5amHAAAWB58DTUAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAyvL+vXTrgCAFUJQBlaWl7502hUAsEIIygAA0CEoA7u/9euTquGWbL1vGgYAu2DVtAsA2GXr128NxVVJa9OsBoAVwogyAAB0CMrAynLssdOuAIAVQlAGVhbzkgFYJIIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAMH18pAAAPKElEQVQAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAxsaBcVberqk9U1Zer6vSqes6k2gIAgMW2aoLHvibJH7TWvlBVeyfZVFUntda+PME2AQBgUUxsRLm19u3W2hfG+1ckOSPJbSfVHgAALKZqrU2+kao1ST6Z5NDW2uVz1h2d5OgkOeCAA+65YcOGidcz15YtW7J69eolb5et9MHyoB+mTx8sD/ph+vTB9K3kPjj88MM3tdbWzrfdxINyVa1O8m9JXtFae9/2tl27dm07+eSTJ1pPz8aNG7Nu3bolb5et9MHyoB+mTx8sD/ph+vTB9K3kPqiqBQXliV71oqr2SPLeJO+eLyQDAMByMsmrXlSStyU5o7X2F5NqBwAAJmGSI8r3TfKkJEdU1Snj7aETbA8AABbNxC4P11r7VJKa1PEBAGCSfDMfAAB0CMoAANAhKAMAQIegDAAAHYIyAAB0CMoAANAhKAMAQIegDAAAHYIy1x/r10+7AgBgNyIoc/3x0pdOuwIAYDciKAMAQIegzMq2fn1SNdySrfdNwwAA5rFq2gXARK1fvzUUVyWtTbMaAGA3YkQZAAA6BGWuP449dtoVAAC7EUGZ6w/zkgGAHSAoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHQIygAA0CEoAwBAh6AMAAAdgjIAAHRMNChX1ZFV9dWqOrOqXjjJtnbFmre/fdolAACwzEwsKFfVDZP8VZJfSXJIkqOq6pBJtbcr1hx33LRLAABgmZnkiPK9kpzZWvtGa+2HSTYkeeQE2wMAgEVTrbXJHLjq0UmObK09dfz5SUnu3Vp71pztjk5ydJIccMAB99ywYcNE6plrzdvf3h1JPuvJT85ZT3nKktTAVlu2bMnq1aunXcb1nn6YPn2wPOiH6dMH07eS++Dwww/f1FpbO992q5aimO1prb0lyVuSZO3atW3dunVL0/C6dcnM3OSqZHzDsGa8sbQ2btyYJet7tkk/TJ8+WB70w/Tpg+nTB5OdenFektvN+vnAcRkAACx7kwzKn09y56o6qKpulORxST4wwfZ22llPfvK0SwAAYJmZWFBurV2T5FlJPpbkjCR/11o7fVLt7QpzkgEAmGuic5Rbax9O8uFJtgEAAJPgm/kAAKBDUAYAgA5BGQAAOgRlAADoEJQBAKBDUAYAgA5BGQAAOgRlAADoEJQBAKBDUAYAgA5BGQAAOgRlAADoEJQBAKBDUAYAgA5BGQAAOgRlAADoEJQBAKBDUAYAgA5BGQAAOqq1Nu0afqKqLkzyrSk0fYskF02hXbbSB8uDfpg+fbA86Ifp0wfTt5L74A6ttVvOt9GyCsrTUlUnt9bWTruO6zN9sDzoh+nTB8uDfpg+fTB9+sDUCwAA6BKUAQCgQ1AevGXaBaAPlgn9MH36YHnQD9OnD6bvet8H5igDAECHEWUAAOgQlAEAoGPFB+WqOrKqvlpVZ1bVCzvrb1xVJ4zrP1dVa2ate9G4/KtV9ZClrHsl2dk+qKoHVdWmqvrS+O8RS137SrErvwfj+ttX1ZaqOmapal6JdvHv0d2r6jNVdfr4O7HnUta+UuzC36M9quq48bk/o6petNS1ryQL6If7V9UXquqaqnr0nHVPrqqvjbcnL13VK8vO9kFVHTbrb9GpVfXYpa18ibXWVuwtyQ2TfD3JHZPcKMkXkxwyZ5tnJPmb8f7jkpww3j9k3P7GSQ4aj3PDaT+m3e22i31wjyS3Ge8fmuS8aT+e3fG2K30wa/2JSf4+yTHTfjy7620XfxdWJTk1yc+NP+/v79GS98Hjk2wY798kyVlJ1kz7Me2OtwX2w5okd0/yjiSPnrX85km+Mf6733h/v2k/pt3ttot9cJckdx7v3ybJt5PsO+3HNKnbSh9RvleSM1tr32it/TDJhiSPnLPNI5McN94/MckDqqrG5Rtaaz9orX0zyZnj8dgxO90HrbX/aq2dPy4/PcleVXXjJal6ZdmV34NU1a8l+WaGPmDn7Uo/PDjJqa21LyZJa21za+1HS1T3SrIrfdCS3LSqViXZK8kPk1y+NGWvOPP2Q2vtrNbaqUl+PGffhyQ5qbV2cWvtkiQnJTlyKYpeYXa6D1pr/91a+9p4//wk300y7zfc7a5WelC+bZJzZv187risu01r7Zokl2UYrVnIvsxvV/pgtkcl+UJr7QcTqnMl2+k+qKrVSV6Q5KVLUOdKtyu/C3dJ0qrqY+NHoX+4BPWuRLvSBycmuTLD6NnZSV7TWrt40gWvULvy/6v/mxfHojyPVXWvDCPSX1+kupadVdMuAOZTVXdL8soMo2osrfVJXtda2zIOMDMdq5L8UpJfSPK9JP9aVZtaa/863bKuV+6V5EcZPmreL8m/V9W/tNa+Md2yYDqq6tZJ3pnkya21uSP/K8ZKH1E+L8ntZv184Lisu834kdrNkmxe4L7Mb1f6IFV1YJL3J/mt1tqKfcc6YbvSB/dO8qqqOivJc5P8UVU9a9IFr1C70g/nJvlka+2i1tr3knw4yc9PvOKVZ1f64PFJPtpau7q19t0kn06yduIVr0y78v+r/5sXxy49j1W1T5IPJfnj1tpnF7m2ZWWlB+XPJ7lzVR1UVTfKcGLGB+Zs84EkM2fNPjrJx9swQ/0DSR43ngF9UJI7J/nPJap7JdnpPqiqfTP8Ir6wtfbpJat45dnpPmit3a+1tqa1tibJXyb509baG5eq8BVmV/4efSzJz1bVTcbw9stJvrxEda8ku9IHZyc5Ikmq6qZJ7pPkK0tS9cqzkH7Ylo8leXBV7VdV+2X4pPFjE6pzJdvpPhi3f3+Sd7TWTpxgjcvDtM8mnPQtyUOT/HeG+TN/PC57WZJHjPf3zHA2/5kZgvAdZ+37x+N+X03yK9N+LLvrbWf7IMmLM8wJPGXW7VbTfjy7421Xfg9mHWN9XPViav2Q5IkZTqg8Lcmrpv1YdtfbLvw9Wj0uPz3Dm5TnT/ux7M63BfTDL2T4JOXKDCP6p8/a93fG/jkzyW9P+7Hsrred7YPxb9HVc/5vPmzaj2dSN19hDQAAHSt96gUAAOwUQRkAADoEZQAA6BCUAVawqnr6eHUAAHaQoAywC6rqPxawzXOr6iaL3O5tqurE8f5hVfXQzjYvSXJJG77qd+66NVV12jaOfeuq+qc5y/6yqs6rqhvMWvbwqnrZLj8YgGXKVS8AJmz8wpa1rbWLJnT8p4zHX/CXwVTVmiT/1Fo7tLPu1Uk+1Vr7x/HnGyT5Zoavb35Ra+0T4/JK8oUk923DF6EArChGlAF2QVVtGf9dV1Ubq+rEqvpKVb27Bs/O8LXHn6iqmYD54Kr6TFV9oar+vqpWj8vPqqqXjsu/VFU/My7/5ao6Zbz9V1XtPTMiPF78/2VJHjuuf2xV3bSq/m9V/ee4/SN38GE9KslHZ/28LsP1g9+U5KiZhW0YadmY5OE7/swBLH+CMsDiuUeGr/o+JMkdM4y0viHJ+UkOb60dXlW3yPBlOg9srf18kpOT/P6sY1w0Ln9TkmPGZcckeWZr7bAk90vy/ZmNW2s/TPKSJCe01g5rrZ2Q4cuSPt5au1eSw5O8evw2uXmN30R6SWvtB7MWH5Xk+AzfxvWwqtpj1rqTx5oAVhxBGWDx/Gdr7dzW2o8zfFvVms4298kQpD9dVadk+LrkO8xa/77x302z9v90kr8YR6f3ba1dM08dD07ywvH4GzN829ztF/gYbp3kwpkfxhHrhyb5h9ba5Uk+l+Qhs7b/boYRc4AVZ9W0CwBYQWaPwv4o/b+xleSk1tpRnXWzj/GT/Vtrf15VH8oQWD9dVQ9JctV26qgkj2qtfXVHih99P0OwnvGQJPsm+dIwJTk3GbeZOdlvz8wa4QZYSYwoA0zeFUn2Hu9/Nsl9q+pOSTLOJ77L9nauqoNba19qrb0yyeeT/Mx2jp8kH0vye+PJdqmqe+xArf+da4+EH5Xkqa21Na21NUkOSvKgWVfxuEuS7tUzAHZ3gjLA5L0lyUer6hOttQuTPCXJ8VV1apLP5LrBd67njifunZrk6iQfmbP+E0kOmTmZL8nLk+yR5NSqOn38eUFaa1cm+XpV3WkMw0cm+dCc9Z9K8qvjosNnrwdYSVweDoBrqapfT3LP1tqL59nugCTvaa09YGkqA1ha5igDcC2ttfdX1f4L2PT2Sf5g0vUATIsRZQAA6DBHGQAAOgRlAADoEJQBAKBDUAYAgA5BGQAAOgRlAADo+P+oIdzs0tXcRQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "I=np.array([0,25e-3,50e-3,75e-3,100e-3,125e-3]) \n",
    "U=np.array([0,1.7,3.4,5.1,6.8,8.5])\n",
    "fig = plt.figure(figsize=(12,10))\n",
    "plt.plot(I,U,'r+',label='U=f(I)')\n",
    "plt.legend()\n",
    "plt.xlabel(\"intensité I (A)\")\n",
    "plt.ylabel(\"tension U (V)\")\n",
    "plt.grid()\n",
    "plt.title(\"Caractéristique Intensité-Tension \"\n",
    "          \"d’un dipôle ohmique\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5. Il s'agit maintenant de modéliser la courbe obtenue."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5.1. Quelle est la forme de la courbe obtenue?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5.2. Quelle est l'équation mathématique d'une telle courbe?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5.3. Exécutez le programme ci-dessous permettant de modéliser la courbe obtenue par une droite."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "68.0 -0.0\n",
      "U=68.0 x I\n",
      "Les valeurs de la tension modélisée sont [-1.59473833e-16  1.70000000e+00  3.40000000e+00  5.10000000e+00\n",
      "  6.80000000e+00  8.50000000e+00]\n"
     ]
    }
   ],
   "source": [
    "coeff=np.polyfit(I, U,1)\n",
    "print ('{0:.1f}'.format(coeff[0]), \n",
    "       '{0:.1f}'.format(coeff[1]))\n",
    "Umodel = coeff[0]*I+coeff[1]\n",
    "print('U={0:.1f}'.format(coeff[0]),'x I')\n",
    "print('Les valeurs de la tension modélisée sont',Umodel)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5.3.1. Que représente coeff[0] ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5.3.2. Que représente coeff[1] ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5.4. Affichez la droite modélisée grâce au programme ci-dessous."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,10))\n",
    "plt.plot(I,U,'r+',label='U=f(I)')\n",
    "plt.plot(I,Umodel,'b',label='modèle linéaire')\n",
    "plt.legend()\n",
    "plt.xlabel(\"intensité I (A)\")\n",
    "plt.ylabel(\"tension U (V)\")\n",
    "plt.grid()\n",
    "plt.title(\"Caractéristique Intensité-Tension \"\n",
    "          \"d’un dipôle ohmique\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5.4.1. La tension U et l’intensité I sont-elles proportionnelles ? Pourquoi ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5.4.2. Que remarquez-vous à propos de la valeur du coefficient directeur de la droite?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
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