Tp 5 Mouvement circulaire uniforme.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bibliothèques"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lecture des donnees du fichier txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "t, x, y = np.loadtxt('donnees_velo.txt', unpack=True, usecols=(0, 1, 2), delimiter = '\\t', skiprows = 2)\n",
    "vx, vy, ax, ay = [], [], [], []"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creation du graphique"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compléter la partie de programme ci-dessous afin d'afficher le graphe : "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.axis('')\n",
    "plt.title('')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('')\n",
    "plt.plot()\n",
    "plt.\n",
    "plt.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calcul des coordonnées des vecteurs vitesse et accélération"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(1, len(x)-1) :\n",
    "    vx.append((x[i+1]-x[i-1])/(t[i+1]-t[i-1]))\n",
    "    vy.append((y[i+1]-y[i-1])/(t[i+1]-t[i-1]))\n",
    "\n",
    "for i in range(1, len(vx)-1) :\n",
    "    ax.append()\n",
    "    ay.append("
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tracé des vecteurs vitesse et accélération"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(len(vx)) :\n",
    "    plt.quiver(x[i+1], y[i+1], vx[i], vy[i], angles = \"xy\", scale_units = \"xy\", scale = 10, color = \"red\")\n",
    "\n",
    "for i in range(len(ax)) :\n",
    "    plt.quiver(   , angles = \"xy\", scale_units = \"xy\", scale = 100, color = \"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fin de la creation du graphique"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calcul de la moyenne des valeurs des accélérations :\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### On est obligé au préalable de transformer les listes en tableau pour pouvoir effectuer des opérations entre les valeurs :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "axbis=np.array([ax])\n",
    "aybis=np.array([ay])\n",
    "vxbis=np.array([vx])\n",
    "vybis=np.array([vy])\n",
    "xbis=np.array([x])\n",
    "ybis=np.array([y])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calcul de la moyenne des valeurs accélérations :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a=np.sqrt()\n",
    "print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calcul de la moyenne des valeurs des vitesses : \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "v=\n",
    "print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calcul de la moyenne des valeurs obtenues pour R :"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "R="
   ]
  }
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