Tp 2 : Serum Phy 2021.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " # Tp 2 : Sérum Physiologique "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " <span style=\"color:red\"> **Importation des bibliothèques nécessaires** </span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import .....................................\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Données expérimentales à compléter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<span style=\"color:blue\">Je complète les valeurs expérimentales ci-dessous : </span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=np.array ([......................])\n",
    "y= [...............................]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Affichage à compléter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.plot(....,......,...........,label=\"Points expérimentaux\")\n",
    "plt.legend()\n",
    "plt.title(\"«.........................»\")\n",
    "plt.xlabel(\".......................\")\n",
    "plt.ylabel(\".......................\")\n",
    "plt.axis(xmin=0,xmax=10,ymin=0,ymax=6)\n",
    "plt.xticks(range(11))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Modélisation polynôme ordre 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<span style=\"color:blue\"> A l'aide de la fonction **polyfit** je modélise ma droite par un polynôme d'ordre 1.</span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "modele=np.polyfit(x,y,1)\n",
    "print(\"modele:\",modele)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ymod=modele[0]*x + modele[1]\n",
    "plt.plot(.....,........,\"b-\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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