3bis. Première boucle - code.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "ymes=np.array([-0,-0.7,-1.5,-2.3,-3.5,-4.5,-5.9,-7.7,-8.8,-10.6,-12.3,-14.2,-16.4,-18.5,-21,-23.5])\n",
    "yreelle=ymes*2/100\n",
    "t=np.linspace(0,1/4,16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "n: [ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14]\n"
     ]
    }
   ],
   "source": [
    "n=np.arange(len(t)-1)\n",
    "print('n:',n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.1, 0.1)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10abd3940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x=0*t\n",
    "for i in n :\n",
    "    plt.arrow(0,yreelle[i],0,yreelle[i+1]-yreelle[i], fc=\"k\",ec=\"k\",head_width=0.005,head_length=0.01)\n",
    "plt.ylim(-0.6,0.1)\n",
    "plt.xlim(-0.1,0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}