{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exercice de calcul simple"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function numpy.core.fromnumeric.std(a, axis=None, dtype=None, out=None, ddof=0, keepdims=<no value>)>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ddof=1\n",
    "np.std"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(14.0,\n",
       " 7.6,\n",
       " 11.2,\n",
       " 12.8,\n",
       " 12.5,\n",
       " 9.9,\n",
       " 14.9,\n",
       " 9.4,\n",
       " 16.9,\n",
       " 10.2,\n",
       " 14.9,\n",
       " 18.1,\n",
       " 7.3,\n",
       " 9.8,\n",
       " 10.9,\n",
       " 12.2,\n",
       " 9.9,\n",
       " 2.9,\n",
       " 2.8,\n",
       " 15.4,\n",
       " 15.7,\n",
       " 9.7,\n",
       " 13.1,\n",
       " 13.2,\n",
       " 12.3,\n",
       " 11.7,\n",
       " 16.0,\n",
       " 12.4,\n",
       " 17.9,\n",
       " 12.2,\n",
       " 16.2,\n",
       " 18.7,\n",
       " 8.9,\n",
       " 11.9,\n",
       " 12.1,\n",
       " 14.6,\n",
       " 12.1,\n",
       " 4.7,\n",
       " 3.9,\n",
       " 16.9,\n",
       " 16.8,\n",
       " 11.3,\n",
       " 14.4,\n",
       " 15.7,\n",
       " 14.0,\n",
       " 13.6,\n",
       " 18.0,\n",
       " 13.6,\n",
       " 19.9,\n",
       " 13.7,\n",
       " 17.0,\n",
       " 20.5,\n",
       " 9.9,\n",
       " 12.5,\n",
       " 13.2,\n",
       " 16.1,\n",
       " 13.5,\n",
       " 6.3,\n",
       " 6.4,\n",
       " 17.6,\n",
       " 19.1,\n",
       " 12.8,\n",
       " 15.5,\n",
       " 16.3,\n",
       " 15.2,\n",
       " 14.6,\n",
       " 19.1,\n",
       " 14.4,\n",
       " 21.4,\n",
       " 15.1,\n",
       " 19.6,\n",
       " 21.7,\n",
       " 11.3,\n",
       " 15.0,\n",
       " 14.3,\n",
       " 16.8,\n",
       " 14.0,\n",
       " 6.8,\n",
       " 8.2,\n",
       " 19.9,\n",
       " 20.4,\n",
       " 14.6,\n",
       " 16.4,\n",
       " 18.7,\n",
       " 16.8,\n",
       " 15.8,\n",
       " 20.4,\n",
       " 15.8,\n",
       " 22.4,\n",
       " 16.2,\n",
       " 20.3,\n",
       " 23.4,\n",
       " 12.1,\n",
       " 15.5,\n",
       " 15.4,\n",
       " 18.4,\n",
       " 15.7,\n",
       " 10.2,\n",
       " 8.9,\n",
       " 21.0)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "list=[]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def moyenne(liste=[]) :\n",
    "    somme = sum(liste)\n",
    "    nb_elements = len(liste)\n",
    "    moyenne = somme / nb_elements\n",
    "    return moyenne"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "la moyenne des nombres est :  14.113000000000007\n"
     ]
    }
   ],
   "source": [
    "print(\"la moyenne des nombres est : \", moyenne([14.0,\n",
    " 7.6,\n",
    " 11.2,\n",
    " 12.8,\n",
    " 12.5,\n",
    " 9.9,\n",
    " 14.9,\n",
    " 9.4,\n",
    " 16.9,\n",
    " 10.2,\n",
    " 14.9,\n",
    " 18.1,\n",
    " 7.3,\n",
    " 9.8,\n",
    " 10.9,\n",
    " 12.2,\n",
    " 9.9,\n",
    " 2.9,\n",
    " 2.8,\n",
    " 15.4,\n",
    " 15.7,\n",
    " 9.7,\n",
    " 13.1,\n",
    " 13.2,\n",
    " 12.3,\n",
    " 11.7,\n",
    " 16.0,\n",
    " 12.4,\n",
    " 17.9,\n",
    " 12.2,\n",
    " 16.2,\n",
    " 18.7,\n",
    " 8.9,\n",
    " 11.9,\n",
    " 12.1,\n",
    " 14.6,\n",
    " 12.1,\n",
    " 4.7,\n",
    " 3.9,\n",
    " 16.9,\n",
    " 16.8,\n",
    " 11.3,\n",
    " 14.4,\n",
    " 15.7,\n",
    " 14.0,\n",
    " 13.6,\n",
    " 18.0,\n",
    " 13.6,\n",
    " 19.9,\n",
    " 13.7,\n",
    " 17.0,\n",
    " 20.5,\n",
    " 9.9,\n",
    " 12.5,\n",
    " 13.2,\n",
    " 16.1,\n",
    " 13.5,\n",
    " 6.3,\n",
    " 6.4,\n",
    " 17.6,\n",
    " 19.1,\n",
    " 12.8,\n",
    " 15.5,\n",
    " 16.3,\n",
    " 15.2,\n",
    " 14.6,\n",
    " 19.1,\n",
    " 14.4,\n",
    " 21.4,\n",
    " 15.1,\n",
    " 19.6,\n",
    " 21.7,\n",
    " 11.3,\n",
    " 15.0,\n",
    " 14.3,\n",
    " 16.8,\n",
    " 14.0,\n",
    " 6.8,\n",
    " 8.2,\n",
    " 19.9,\n",
    " 20.4,\n",
    " 14.6,\n",
    " 16.4,\n",
    " 18.7,\n",
    " 16.8,\n",
    " 15.8,\n",
    " 20.4,\n",
    " 15.8,\n",
    " 22.4,\n",
    " 16.2,\n",
    " 20.3,\n",
    " 23.4,\n",
    " 12.1,\n",
    " 15.5,\n",
    " 15.4,\n",
    " 18.4,\n",
    " 15.7,\n",
    " 10.2,\n",
    " 8.9,\n",
    " 21.0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "min() arg is an empty sequence",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-11-ec00771a1e9f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlist\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlist\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m: min() arg is an empty sequence"
     ]
    }
   ],
   "source": [
    "min(list), max(list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nouvelle tentative pour verifier la moyenne"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calcul de la moyenne\n"
     ]
    }
   ],
   "source": [
    "print (\"calcul de la moyenne\")\n",
    "list=[14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]\n",
    "n=0\n",
    "while n!=\"fin\":\n",
    "    n=input((\"Entrer une note ou écrire fin s'il n'y a plus de notes à entrer : \\n\"))\n",
    "    if n!=\"fin\":\n",
    "        n=float(n)\n",
    "        liste.append(n)\n",
    "print (\"Vous avez entré\", len(liste), \" notes\")\n",
    "m=sum(list)/len(liste)\n",
    "print(\"La moyenne de cette série est \", m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print (\"Vous avez entré \", len(liste), \" notes\")\n",
    "m=sum(list)/len(liste)\n",
    "print(\"La moyenne de cette série est \", m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "min(list), max(list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "m="
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calcul de la médiane"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "Print (\"Calcul de la médiane.\")\n",
    "liste=[14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]\n",
    "n=0\n",
    "while n!=\"fin\":\n",
    "    n=input((Entrer une valeur de la série ou écrire fin s'il n'y a plus de valeur à entrer : \\n))\n",
    "    if n!= \"fin\":\n",
    "        n=float(n)\n",
    "        liste.append(n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "liste.sort()\n",
    "if len(liste)%2==0 :\n",
    "    m=((liste[(len(liste)-1)//2]+liste[len(liste)//2])/2)\n",
    "else :\n",
    "    m=liste[len(liste)//2]\n",
    "print (\"Vous avez entré \", len(liste), \"valeurs\")\n",
    "print(\"La médiane de votre série est \", m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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