{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# La loi d’Ohm (version professeur, linregress 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_linregress_sans_fonction.pdf>`\n",
    "\n",
    ":download:`Télécharger le notebook <./loi_ohm_prof_linregress_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_linregress_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 0x7f309d049b70>]"
      ]
     },
     "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 0x7f309cfd2fd0>]"
      ]
     },
     "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": "iVBORw0KGgoAAAANSUhEUgAAAW4AAAD8CAYAAABXe05zAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAADTxJREFUeJzt3W+MbHddx/HPx7v0v9KLXRLbontJwKQltSVD/YPhQavyz1CjTaykWvHBfYACNSJQa7KzPpMQhQdGc4MiKrHgFROjDViqxD/R6uxtKdxeCpfbUvrHdAoEpCS0hY8P5pS7d+/e3bM7c87sd/t+JSf37Mxvzn5+OzOfe/bMzB4nEQCgju+ZdwAAwPZQ3ABQDMUNAMVQ3ABQDMUNAMVQ3ABQDMUNAMVQ3ABQDMUNAMUsdLHRiy66KEtLS11sGgD2pNXV1SeSLLYZ20lxLy0taTQadbFpANiTbH+x7VgOlQBAMRQ3ABRDcQNAMRQ3ABRDcQNAMRQ3AMzKcNjLt6G4AWBWVlZ6+TYUNwAUQ3EDwDSGQ8meLNLJ9Q4Pm7iLkwUPBoPwyUkAzzm2tMNOtb2aZNBmLHvcAFAMxQ0As7K83Mu3obgBYFZ4OyAAYCMUNwAUQ3EDQDGtitv2b9o+avsztv/a9jldBwMAbGzL4rZ9iaS3ShokeZmkfZJu6DoYAGBjbQ+VLEg61/aCpPMkPdpdJADAZrYs7iSPSHqPpIckPSbpa0n+qetgAICNtTlUsl/SdZIOSLpY0vm2b9xg3EHbI9uj8Xg8+6QAAEntDpX8lKQHkoyTPC3po5J+Yv2gJIeSDJIMFhdbnWEeALADbYr7IUk/Zvs825Z0raRj3cYCAJxJm2Pcd0k6LOmIpE83tznUcS4AwBkstBmUZFlSP389BQCwKT45CQDFUNwAUAzFDQDFUNwAUAzFDQDFUNwAUAzFDQDFUNwAUAzFDQDFUNwAUAzFDQDFUNwAUAzFDQDFUNwAUAzFDQDFUNwAUAzFDQDFUNwAUAzFDQDFUNwAUAzFDaAbw+G8E+xZFDeAbqyszDvBnkVxA0AxFDeA2RkOJXuySCfXOWwyU04y840OBoOMRqOZbxdAIbbUQb/sVbZXkwzajGWPGwCKobgBdGN5ed4J9iyKG0A3OK7dGYobAIqhuAGgGIobAIqhuAGgGIobAIqhuAGgGIobAIqhuAGgGIobAIqhuAGgmFbFbftC24dtf9b2Mds/3nUwAMDGFlqOe5+kjyW53vZZks7rMBMAYBNbFrft50t6laRflaQkT0l6qttYAIAzaXOo5ICksaQP2L7b9vttn79+kO2Dtke2R+PxeOZBAQATbYp7QdLLJf1xkqskPSnpXesHJTmUZJBksLi4OOOYAIBntSnuhyU9nOSu5uvDmhQ5AGAOtizuJP8r6Uu2f7i56FpJ93WaCgBwRm3fVfIWSR9q3lFyQtKbuosEANhMq+JOco+kVmcfBgB0i09OAkAxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA30YDuedAHsIxQ30YWVl3gmwh1DcAFAMxQ10ZTiU7MkinVznsAmm5CQz3+hgMMhoNJr5doGybKmD5xr2DturSVr9+Wz2uAGgGIob6MPy8rwTYA+huIE+cFwbM0RxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxrYvb9j7bd9v+hy4DAQA2t5097rdJOtZVEABAO62K2/alkl4v6f3dxgEAbKXtHvd7Jb1D0nc6zAIAaGHL4rb9s5IeT7K6xbiDtke2R+PxeGYBAQCnarPH/UpJb7D9oKTbJF1j+6/WD0pyKMkgyWBxcXHGMQEAz9qyuJPckuTSJEuSbpD0z0lu7DwZAGBDvI8bAIpZ2M7gJJ+U9MlOkgAAWmGPGwCKobgBoBiKGwCKobgBoBiKGwCKobgBoBiKGwCKobgBoBiKG/MxHM47AVAWxY35WFmZdwKgLIobAIqhuNGf4VCyJ4t0cp3DJsC2OMnMNzoYDDIajWa+XewhttTBYw+oyvZqkkGbsexxA0AxFDfmY3l53gmAsihuzAfHtYEdo7gBoBiKGwCKobgBoBiKGwCKobgBoBiKGwCKobgBoBiKGwCKobgBoBiKGwCKobgBoBiKGwCKobgBoBiKGwCKobgBoBiKGwCKobgBoBiKGwCKobgBoBiKGwCKobgBoBiKGwCK2bK4bb/I9r/Yvs/2Udtv6yMYAGBjCy3GPCPpt5Icsf29klZt35Hkvo6zAQA2sOUed5LHkhxp1v9P0jFJl3QdDACwsW0d47a9JOkqSXdtcN1B2yPbo/F4PJt0AIDTtC5u2xdI+ltJNyf5+vrrkxxKMkgyWFxcnGVGAMAarYrb9vM0Ke0PJflot5Geg4bDeScAUEibd5VY0p9KOpbkD7qP9By0sjLvBAAKabPH/UpJvyzpGtv3NMvrOs4FADiDNu8q+fckTnJFkiub5fY+wu1pw6FkTxbp5DqHTQBswUlmvtHBYJDRaDTz7e5ZttTB/QCgDturSQZtxvKRdwAohuLeDZaX550AQCEU927AcW0A20BxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxFDcAFENxA0AxrYrb9mts32/7uO13dR0KAHBmWxa37X2S/kjSayVdJumXbF/WWaLhsLNNA8Be0GaP+2pJx5OcSPKUpNskXddZopWVzjYNAHtBm+K+RNKX1nz9cHMZAGAOZvbipO2Dtke2R+PxeHs3Hg4le7JMNjZZOGwCAKdpU9yPSHrRmq8vbS47RZJDSQZJBouLi9tLMRxKyWSZbGyyUNwAcJo2xf0/kl5i+4DtsyTdIOnvu40FADiTha0GJHnG9m9I+rikfZL+LMnRzhItL3e2aQDYC7YsbklKcruk2zvOMsHhEQDYFJ+cBIBiKG4AKIbiBoBiKG4AKIbiBoBinGc/9DLLjdpjSV/c4c0vkvTEDOP0rXp+iTnsFtXnUD2/1O8cfihJq08vdlLc07A9SjKYd46dqp5fYg67RfU5VM8v7d45cKgEAIqhuAGgmN1Y3IfmHWBK1fNLzGG3qD6H6vmlXTqHXXeMGwCwud24xw0A2ERvxb3VCYdtn237w831d9leWnPdLc3l99t+dV+ZN8i4oznY/mnbq7Y/3fx7Td/Z12Tc8f3QXP+Dtr9h++19ZV73/ad5HF1h+z9tH23ui3P6zL4mx04fR8+z/cEm+zHbt/SdfU3GrebwKttHbD9j+/p1191k+/PNclN/qU/JsKP8tq9c8xi61/Yv9pu8kaTzRZM/B/sFSS+WdJakT0m6bN2YN0v6k2b9BkkfbtYva8afLelAs519feSe4RyuknRxs/4ySY/0nX/aOay5/rCkv5H09kr5NflLmPdK+pHm6+8v+Dh6o6TbmvXzJD0oaWmXzmFJ0hWS/kLS9Wsuf4GkE82/+5v1/YXyv1TSS5r1iyU9JunCvu+Dvva425xw+DpJH2zWD0u61raby29L8q0kD0g63myvbzueQ5K7kzzaXH5U0rm2z+4l9ammuR9k++ckPaDJHOZhmvw/I+neJJ+SpCRfTvLtnnKvNc0cIul82wuSzpX0lKSv9xP7FFvOIcmDSe6V9J11t321pDuSfCXJVyXdIek1fYReY8f5k3wuyeeb9UclPS5pm6f8ml5fxd3mhMPfHZPkGUlf02SvaLecrHiaOaz1C5KOJPlWRzk3s+M52L5A0jslrfSQ80ymuQ9eKim2P978CvyOHvJuZJo5HJb0pCZ7eQ9Jek+Sr3QdeAPTPCd3w/N5JhlsX63JHvsXZpSrtVYnUsBs2L5c0u9rsvdXzVDSHyb5hp89qXMtC5J+UtIrJH1T0p22V5PcOd9Y23K1pG9r8iv6fkn/ZvsTSU7MN9Zzj+0fkPSXkm5Ksv63is71tcfd5oTD3x3T/Cr4fElfbnnbPkwzB9m+VNLfSfqVJL3/D70+X2M7c/hRSe+2/aCkmyX9jientOvTNPkflvSvSZ5I8k1Nzuj08s4Tn26aObxR0seSPJ3kcUn/IWkeH8ee5jm5G57PU2Ww/X2S/lHSrUn+a8bZ2unpxYAFTV6EOKCTLwZcvm7Mr+vUF2Q+0qxfrlNfnDyh+byoNM0cLmzG/3zfuWc1h3VjhprPi5PT3Af7JR3R5EW9BUmfkPT6YnN4p6QPNOvnS7pP0hW7cQ5rxv65Tn9x8oHm/tjfrL+gUP6zJN0p6ea+f+6n5Orxh/U6SZ/T5HjQrc1lvyfpDc36OZq8W+G4pP+W9OI1t721ud39kl47tx/WDucg6Xc1OTZ5z5rlhZXmsG4bQ82huGfwOLpRkxdWPyPp3QUfRxc0lx/VpLR/exfP4RWa/JbzpCa/LRxdc9tfa+Z2XNKbKuVvHkNPr3suX9l3fj45CQDF8MlJACiG4gaAYihuACiG4gaAYihuACiG4gaAYihuACiG4gaAYv4fDbgCgFl4gnkAAAAASUVORK5CYII=\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 0x7f309cf55860>"
      ]
     },
     "execution_count": 8,
     "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+',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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dPWuWgfOH/XRDkmM7HbiqJu7FYPD7W8BTgIOBrwGr5rR5LfD+4ftTgY+Nu+4x9sWJwM8N379mf+6LYbvDgKuBa4Cpcdc9xp+LlcD1wM8Pl58w7rrH2BcbgNcM368Cbh133T31xa8AxwI37mb7KcAVQIDjga90Oe6knlE4/ceMkX1RVVdV1QPDxWsYPLOyGHX5uQB4B4N5w364kMUtsC59cRZwQVXdB1BVdy9wjQulS18UcPjw/WOAuxawvgVTVVczuIN0d9YCH66Ba4DHJnniqONOalDsavqPI3bXpqp2Ao9M/7HYdOmL2c5k8BvDYjSyL4an0iuq6jMLWdgYdPm5OAY4JsmXklyTZPWCVbewuvTF24HTkmwDNgGvW5jSJs6e/n8C7CNTeKibJKcBU8ALx13LOCQ5AHgPcMaYS5kUBzK4/HQCg7PMq5M8u6q+N9aqxmMdcHFV/VWSX2bw/NazqurH4y5sXzCpZxRO/zGjS1+Q5CTgLcCaqnpwgWpbaKP64jDgWcAXk9zK4BrsxkU6oN3l52IbsLGqHq6qbwPfYBAci02XvjgTuBygqr4MHMJgwsD9Taf/T+aa1KBw+o8ZI/siyXOBCxmExGK9Dg0j+qKqdlTV0qo6qqqOYjBes6aq5j0Z2gTr8m/kUwzOJkiylMGlqK0LWeQC6dIXtwMvBkjyTAZBsX1Bq5wMG4HTh3c/HQ/sqKrvjNppIi89VX/Tf+xzOvbFu4FHAx8fjuffXlVrxlZ0Tzr2xX6hY19cCbw0yWbgR8Abq2rRnXV37Is3AP+Q5I8ZDGyfsRh/sUzyUQa/HCwdjse8DTgIoKrez2B85hRgC/AA8OpOx12EfSVJ2osm9dKTJGlCGBSSpCaDQpLUZFBIkpoMCklSk0EhSWoyKCRJTf8HGIGwMVmC0yAAAAAASUVORK5CYII=\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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\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([0,1.8,3.3,5.2,6.8,8.5])\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": [
      "slope 67.89\n",
      "intercept 0.02\n",
      "U= 67.89 x I\n",
      "Le coefficient de corrélation r vaut 0.9997\n",
      "Les valeurs de la tension modélisée sont [0.02380952 1.72095238 3.41809524 5.1152381  6.81238095 8.50952381]\n"
     ]
    }
   ],
   "source": [
    "from scipy import stats\n",
    "slope, intercept, r_value, p_value, std_error = stats.linregress(I, U)\n",
    "print ('slope {0:.2f}'.format(slope))\n",
    "print('intercept {0:.2f}'.format(intercept))\n",
    "Umodel = slope*I+intercept\n",
    "print('U= {0:.2f}'.format(slope),'x I')\n",
    "print ('Le coefficient de corrélation r vaut {0:.4f}'.format(r_value))\n",
    "print('Les valeurs de la tension modélisée sont',Umodel)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5.3.1. Que représente l'objet slope ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5.3.2. Que représente l'objet intercept ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5.3.3. Que représente l'objet r_value?"
   ]
  },
  {
   "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?"
   ]
  },
  {
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