{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
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    "hidePrompt": false
   },
   "source": [
    "# Le pouvoir d'achat des ouvriers anglais du XVIe au XIXe siècle\n",
    "\n",
    "Dans le cadre de cette exercice évalué par les pairs (Mooc RR, mod3) j'ai choisi le sujet n°2 intitulé :\n",
    "**Le pouvoir d'achat des ouvriers anglais du XVIe au XIXe siècle**\n",
    "\n",
    "## Contexte de l'étude\n",
    "\n",
    "William Playfair un des pionnier de la représentation graphique des données, a réalisé un graphique montrant l'évolution du prix du blé et du salaire moyen entre 1565 et 1821. Ce graphique a été publié en 1822 dans son livre *A Letter on our Agricultural Distresses, Their Causes and Remedies*. Ci-dessous une reproduction hébergée sur [Wikipédia][graph original].\n",
    "\n",
    "![Chart Showing at One View the Price of the Quarter of Wheat, and Wages of Labour by the Week, from 1565 to 1821](playfair_ori_prixble_salaire.png)\n",
    "\n",
    "[graph original]:https://fr.wikipedia.org/wiki/William_Playfair#/media/File:Chart_Showing_at_One_View_the_Price_of_the_Quarter_of_Wheat,_and_Wages_of_Labour_by_the_Week,_from_1565_to_1821.png\n",
    "\n",
    "Le premier objectif de l'étude est de reproduire ce graphe, puis dans un second temps de corriger le graphique.Een effet W. Playfair a utilisé la même unité pour représenter deux quantités différentes sur l'axe des ordonnées. Enfin dans un troisième temps le but sera d'améliorer la représentation du pouvoir d'achat des agriculteurs anglais sur cette période.\n",
    "\n",
    "## Les données\n",
    "\n",
    "### Sources\n",
    "\n",
    "W. Playfair n'a pas publié les données numériques brutes de son étude. Néanmoins une version numérisée est diponible [ici][data_url], réalisé par [Vincent Arel-Bundock] et publié sur son site [R datasets][vab r datasets].\n",
    "\n",
    "[data_url]: https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/HistData/Wheat.csv\n",
    "[Vincent Arel-Bundock]: https://github.com/vincentarelbundock\n",
    "[vab r datasets]: https://vincentarelbundock.github.io/Rdatasets/\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "outputs": [],
   "source": [
    "# import des bibliothèques\n",
    "import urllib\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from os import listdir\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fichier déjà téléchargé\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['exercice_python_en.org',\n",
       " 'exercice_fr.ipynb',\n",
       " 'Wheat.csv',\n",
       " 'exercice.ipynb',\n",
       " 'exercice_fr.Rmd',\n",
       " 'playfair_ori_prixble_salaire.png',\n",
       " 'exercice_python_fr.org',\n",
       " 'exercice_R_en.org',\n",
       " 'exercice_R_fr.org',\n",
       " 'exercice_en.Rmd',\n",
       " 'exercice_en.ipynb',\n",
       " '.ipynb_checkpoints']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# téléchargement du fichier\n",
    "data_url = 'https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/HistData/Wheat.csv'\n",
    "filename = 'Wheat.csv'\n",
    "\n",
    "curFiles = set(listdir())\n",
    "\n",
    "# téléchargement automatique du fichier\n",
    "# si non présent dans le répertoire\n",
    "if not(filename in curFiles):\n",
    "    print('Téléchargement du fichier')\n",
    "    urllib.request.urlretrieve(data_url, filename)\n",
    "else:\n",
    "    print('Fichier déjà téléchargé')\n",
    "\n",
    "listdir()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "outputs": [],
   "source": [
    "# lecture du fichier\n",
    "rawdata = pd.read_csv(filename, index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Wheat</th>\n",
       "      <th>Wages</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1565</td>\n",
       "      <td>41.0</td>\n",
       "      <td>5.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1570</td>\n",
       "      <td>45.0</td>\n",
       "      <td>5.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1575</td>\n",
       "      <td>42.0</td>\n",
       "      <td>5.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1580</td>\n",
       "      <td>49.0</td>\n",
       "      <td>5.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1585</td>\n",
       "      <td>41.5</td>\n",
       "      <td>5.15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Year  Wheat  Wages\n",
       "1  1565   41.0   5.00\n",
       "2  1570   45.0   5.05\n",
       "3  1575   42.0   5.08\n",
       "4  1580   49.0   5.12\n",
       "5  1585   41.5   5.15"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rawdata.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "source": [
    "### Vérification des données\n",
    "\n",
    "Les données sont vérifiées sur les critères suivants :\n",
    "\n",
    "* présence de lignes vides\n",
    "* rupture de date, ou division non régulière\n",
    "\n",
    "Il est à noter les données sont enregistrées tous les 5 ans."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Wheat</th>\n",
       "      <th>Wages</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>1815</td>\n",
       "      <td>78.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>1820</td>\n",
       "      <td>54.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>1821</td>\n",
       "      <td>54.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Year  Wheat  Wages\n",
       "51  1815   78.0    NaN\n",
       "52  1820   54.0    NaN\n",
       "53  1821   54.0    NaN"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# présence de lignes vides\n",
    "rawdata[rawdata.isnull().any(axis=1)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "source": [
    "Les 3 dernières lignes sont vides pour la colonne *Wages*, ce qui explique l'arrêt de la ligne rouge et de la surface bleue dans le document originale."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Années de rupture :\n",
      "1820\n"
     ]
    }
   ],
   "source": [
    "# rupture de date, ou division non régulière\n",
    "print(\"Années de rupture :\")\n",
    "expect_delta = 5\n",
    "for y1, y2 in zip(rawdata['Year'][:-1], rawdata['Year'][1:]):\n",
    "    delta_y = y2 - y1\n",
    "    if delta_y != expect_delta :\n",
    "        print(y1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "source": [
    "Seule l'année 1820 présente une rupture. En effet l'enregistrement suivant est 1821. Ce qui explique la barre moins large sur le graphique original, pour les années 1820 à 1821.\n",
    "\n",
    "### Commentaire sur les unités\n",
    "\n",
    "Pour rappel les untités originales des données sont les suivantes :\n",
    "* Blé (Wheat) : Shillings pour un quart de boisseau (8,6 kg)\n",
    "* Salaire (Wages) : Shillings par semaine\n",
    "\n",
    "Avant 1971, la monnaie anglaise était découpée de la manière suivante :\n",
    "* 1 Livre valait 20 shillings\n",
    "* 1 Shilling valait 12 penses"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "source": [
    "## Reproduction du graphique original\n",
    "\n",
    "Ci-dessous le graphique original est reproduit à l'aide de `Matplotlib`.\n",
    "(Pour représenter des dégradés voir ce lien : https://matplotlib.org/3.2.1/gallery/lines_bars_and_markers/gradient_bar.html?highlight=gradient)\n",
    "\n",
    "Les années 1820 et 1821 sont représentées séparémment du reste des données afin d'avoir une barre de largeur différente (voir le code ci-dessous)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Chart Showing at One View\\nthe Price of the Quarter of Wheat, and Wages of Labour\\nby the Week, from 1565 to 1821')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1097.28x548.64 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.ticker import MultipleLocator\n",
    "from matplotlib.dates import DateFormatter\n",
    "\n",
    "fig1, ax1 = plt.subplots(1,1)\n",
    "\n",
    "fig1.set_size_inches(2.54*6, 2.54*3)\n",
    "\n",
    "# === représentation du prix du blé === #\n",
    "ax1.bar(rawdata['Year'][:-2], rawdata['Wheat'][:-2], align='edge', width=5, color='dimgrey')\n",
    "# bar de largeur 1 année pour les deux années 1820 et 1821\n",
    "ax1.bar(rawdata['Year'][-2:], rawdata['Wheat'][-2:], align='edge', width=1, color='dimgrey')\n",
    "\n",
    "# graduation proche de l'original, avec les siècles comme majeure\n",
    "# et une graduation mineure tous les 5 ans\n",
    "# aide sur les ticks locator :\n",
    "# https://matplotlib.org/gallery/ticks_and_spines/tick-locators.html#sphx-glr-gallery-ticks-and-spines-tick-locators-py\n",
    "ax1.xaxis.set_major_locator(MultipleLocator(100))\n",
    "ax1.xaxis.set_minor_locator(MultipleLocator(5))\n",
    "\n",
    "ax1.grid(True, which='both')\n",
    "\n",
    "# les marges de l'axe x sont diminuées\n",
    "ax1.set_xlim([int(rawdata['Year'][0:1]), int(rawdata['Year'][-1:]+5)])\n",
    "\n",
    "ax1.set_xlabel('5 Years each division')\n",
    "\n",
    "# === représentation du salaire === #\n",
    "# l'axe 2 partage l'axe x de l'axe 1\n",
    "ax2 = ax1.twinx()\n",
    "ax2.fill_between(rawdata['Year'], rawdata['Wages'])\n",
    "ax2.plot(rawdata['Year'], rawdata['Wages'], 'r', linewidth=2)\n",
    "\n",
    "# les deux axes ont les mêmes limites, pour reproduire l'original\n",
    "myylim = ax1.get_ylim()\n",
    "ax2.set_ylim(myylim)\n",
    "\n",
    "ax2.set_ylabel('Price of the Quarter of Wheat in Shillings')\n",
    "\n",
    "ax1.set_title(\"\"\"Chart Showing at One View\n",
    "the Price of the Quarter of Wheat, and Wages of Labour\n",
    "by the Week, from 1565 to 1821\"\"\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "source": [
    "## Graphique avec deux axes des ordonnées\n",
    "Le graphique précédent est repris et amélioré avec deux axes distincts cette fois-ci.\n",
    "Le jeu de couleur est changé pour un affichage plus lisible.\n",
    "La conversion vers l'unité moderne est ajouté en légende de l'axe y, pour information."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Chart Showing at One View\\nthe Price of the Quarter of Wheat, and Wages of Labour\\nby the Week, from 1565 to 1821')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1097.28x548.64 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig2, ax11 = plt.subplots(1,1)\n",
    "\n",
    "fig2.set_size_inches(2.54*6, 2.54*3)\n",
    "\n",
    "# === représentation du prix du blé === #\n",
    "ax11.bar(rawdata['Year'][:-2], rawdata['Wheat'][:-2], align='edge', width=5, color='lightgrey')\n",
    "ax11.bar(rawdata['Year'][-2:], rawdata['Wheat'][-2:], align='edge', width=1, color='lightgrey')\n",
    "\n",
    "# graduation proche de l'original, avec les siècles comme majeure\n",
    "# et une graduation mineure tous les 5 ans\n",
    "ax11.xaxis.set_major_locator(MultipleLocator(100))\n",
    "ax11.xaxis.set_minor_locator(MultipleLocator(5))\n",
    "# grille\n",
    "ax11.grid(True, which='both')\n",
    "\n",
    "ax11.set_xlabel('5 Years each division')\n",
    "ax11.set_ylabel('Price of the Quarter (8.6 kg) of Wheat in Shillings')\n",
    "\n",
    "# les marges de l'axe x sont diminuées\n",
    "ax11.set_xlim([int(rawdata['Year'][0:1]), int(rawdata['Year'][-1:]+5)])\n",
    "\n",
    "# === représentation du salaire === #\n",
    "# l'axe 2 partage l'axe x de l'axe 1\n",
    "ax12 = ax11.twinx()\n",
    "ax12.plot(rawdata['Year'], rawdata['Wages'], 'r', linewidth=2, marker='x')\n",
    "\n",
    "# les deux axes ont des limites différentes pour montrer que les axes sont différents\n",
    "myylim = ax11.get_ylim()\n",
    "ax12.set_ylim([0,myylim[1]/2])\n",
    "\n",
    "ax12.set_ylabel('Wages in Shillings/Week')\n",
    "ax12.yaxis.label.set_color('r')\n",
    "ax12.tick_params(axis='y', colors='r')\n",
    "\n",
    "ax11.set_title(\"\"\"Chart Showing at One View\n",
    "the Price of the Quarter of Wheat, and Wages of Labour\n",
    "by the Week, from 1565 to 1821\"\"\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "source": [
    "## Représentation du pouvoir d'achat\n",
    "\n",
    "### Le pouvoir d'achat en équivalent blé acheté\n",
    "Le pouvoir d'achat est définie ici comme la quantité de blé qu'un ouvrier peut acheter avec son salaire hebdomadaire. \n",
    "\n",
    "Le prix du blé par boisseau est converti en prix du blé par kg pour une représentation plus moderne.\n",
    "Le pouvoir d'achat sera donc exprimé en kg de blé par semaine.\n",
    "\n",
    "Pour rappel, les années 1815, 1820, 1821 n'ont pas de salaire hebdomadaire renseigné. Ces lignes sont retirées pour le calcul du pouvoir d'achat."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lignes supprimées :\n",
      "    Year  Wheat  Wages\n",
      "51  1815   78.0    NaN\n",
      "52  1820   54.0    NaN\n",
      "53  1821   54.0    NaN\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "1    1.048780\n",
       "2    0.965111\n",
       "3    1.040190\n",
       "4    0.898612\n",
       "5    1.067229\n",
       "dtype: float64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# === on supprime les années sans salaires === #\n",
    "print(\"lignes supprimées :\")\n",
    "print(rawdata[rawdata.isnull().any(axis=1)])\n",
    "data = rawdata.dropna().copy()\n",
    "\n",
    "# === facteurs de conversion === #\n",
    "quarter_to_mass = 8.6  # in kg\n",
    "shilling_to_pence = 12\n",
    "\n",
    "purchasing_power = data['Wages']/(data['Wheat']/quarter_to_mass)\n",
    "purchasing_power.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,\"Pouvoir d'achat d'un ouvrier\\n en équivalent masse de blé hebdomadaire\\n de 1565 à 1810\")"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1097.28x548.64 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig3, ax31 = plt.subplots(1,1)\n",
    "fig3.set_size_inches(2.54*6, 2.54*3)\n",
    "\n",
    "ax31.bar(data['Year'], purchasing_power, align='edge', width=5)\n",
    "\n",
    "# les mêmes limites que précédemment sont conservées pour comparaison\n",
    "ax31.set_xlim([int(rawdata['Year'][0:1]), int(rawdata['Year'][-1:]+5)])\n",
    "\n",
    "# graduation proche de l'original, avec les siècles comme majeure\n",
    "# et une graduation mineure tous les 5 ans\n",
    "ax31.xaxis.set_major_locator(MultipleLocator(100))\n",
    "ax31.xaxis.set_minor_locator(MultipleLocator(5))\n",
    "\n",
    "# ax31.xaxis.set_major_formatter(DateFormatter('%Y'))\n",
    "# ax31.xaxis.set_minor_formatter(DateFormatter('%y'))\n",
    "\n",
    "\n",
    "ax31.grid(True, which='both')\n",
    "\n",
    "ax31.set_xlabel(\"Année\")\n",
    "ax31.set_ylabel(\"Pouvoir d'achat en masse de blé hebdomadaire [kg/sem]\")\n",
    "\n",
    "ax31.set_title(\"Pouvoir d'achat d'un ouvrier\\n en équivalent masse de blé hebdomadaire\\n de 1565 à 1810\")\n",
    "\n",
    "# fig3.autofmt_xdate()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Le pouvoir d'achat représenté différemment\n",
    "Le pouvoir d'achat est ici représenté différemment, pour faire apparaitre les variations des deux grandeurs qui ont servi à sa construction. Les années sont représentées par une couleur."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1097.28x548.64 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.ticker as ticker\n",
    "\n",
    "converted_wheat = data['Wheat']/quarter_to_mass\n",
    "purchasing_power = data['Wages']/(data['Wheat']/quarter_to_mass)\n",
    "\n",
    "fig4, ax41 = plt.subplots(1,1)\n",
    "fig4.set_size_inches(2.54*6, 2.54*3)\n",
    "\n",
    "# ajout des marqueurs colorés en fonction de l'année\n",
    "mypoints = ax41.scatter(data['Wages'], converted_wheat, c=data['Year'])\n",
    "fig4.colorbar(mypoints)\n",
    "\n",
    "# ajout d'une colonne vertébrale aux poitn pour aider à la lecture\n",
    "ax41.plot(data['Wages'], converted_wheat, '--', color='lightgrey')\n",
    "\n",
    "ax41.set_title(\"Pouvoir d'achat des ouvriers anglais sur la période 1565 à 1810\")\n",
    "ax41.set_xlabel(\"Salaire en Shillings/semaine\")\n",
    "ax41.set_ylabel(\"Prix du blé en Shillings/kg\")\n",
    "ax41.grid(True)\n",
    "ax41.set_xscale('log')\n",
    "ax41.xaxis.set_major_formatter(ticker.ScalarFormatter())\n",
    "ax41.xaxis.set_minor_formatter(ticker.ScalarFormatter())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ce graphique permet de représenter le pouvoir d'achat de manière indirecte. \n",
    "L'axe des abscisses est de type logarithmique pour étaler un peu les valeurs basses de salaire.\n",
    "\n",
    "Mais comme on peut le voir ci-dessus, ce n'est pas lisible directement :\n",
    "\n",
    "* Le pouvoir d'achat est le plus élevé dans le coin inférieur droite, et le plus faible dans le coin supérieur gauche (ce qui est assez contre-intuitif : les valeurs élevées sont attendues conventionnellement en haut à droite);\n",
    "* de plus la variation entre les deux coins n'est pas linéaire puisque le pouvoir d'achat est le salaire divisé par le prix du blé.\n",
    "* L'évolution avec les années n'est pas vraiment visibles.\n",
    "\n",
    "Si le but de la représentation est le pouvoir d'achat alors cette représentation n'est pas adaptée. La représentation directe est plus claire, bien qu'il y ait une perte d'information pa rapprot au prix du blé et au niveau de rémunération.\n",
    "\n",
    "## Représentation du pouvoir d'achat et des autres grandeurs\n",
    "Différentes représentations permettant de répondre aux problèmes relevés ci-dessus sont présentées ci après.\n",
    "\n",
    "### Représentation du pouvoir d'achat avec une couleur\n",
    "\n",
    "La représentation précédente est reprise, avec cette fois-ci la couleur des points qui indique le pouvoir d'achat. Les données permettant de représenter les années de gauche à droite de manière classique, avec des annotations il n'y a pas lieu d'utiliser d'autre moyen de les représenter.\n",
    "\n",
    "Afin de mieux comprendre l'évolution du pouvoir d'achat, des contours ont été ajoutés pour délimiter les zones colorés plus aisèment car le nombre de points reste faible."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2, 12)"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1097.28x548.64 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "# === conversion de l'unité du prix, et ajout d'une colonne pouvoir d'achat === #\n",
    "data_by_year = data.set_index('Year')\n",
    "data_by_year['Wheat'] = data_by_year['Wheat']/quarter_to_mass\n",
    "data_by_year['Purchpower'] = data_by_year['Wages']/data_by_year['Wheat']\n",
    "\n",
    "# === préparation des données pour les contours === #\n",
    "wheat_v = np.arange(2, 12)\n",
    "wages_v = np.arange(4, 31)\n",
    "\n",
    "# matrice de pouvoir d'achat\n",
    "xx, yy = np.meshgrid(wages_v, wheat_v)\n",
    "purchpower_mat = xx / yy\n",
    "\n",
    "# === tracé de la figure === #\n",
    "fig5, ax51 = plt.subplots(1,1)\n",
    "fig5.set_size_inches(2.54*6, 2.54*3)\n",
    "\n",
    "# tracé des contours de pouvoir d'achat\n",
    "myCont = ax51.contour(xx, yy, purchpower_mat, linestyles='-.', colors='grey', levels=[1, 2, 3, 4,5])\n",
    "ax51.clabel(myCont, inline=1, fontsize=12, fmt='%d')\n",
    "\n",
    "# ajout des marqueurs colorés en fonction du pouvoir d'achat\n",
    "mypoints = ax51.scatter(data_by_year['Wages'], data_by_year['Wheat'], c=data_by_year['Purchpower'], s=50)\n",
    "cbar = fig5.colorbar(mypoints)\n",
    "cbar.add_lines(myCont)\n",
    "cbar.ax.set_ylabel(\"Pouvoir d'achat en kg de blé par semaine\")\n",
    "# ajout d'une colonne vertébrale aux points pour aider à la lecture des années\n",
    "ax51.plot(data_by_year['Wages'], data_by_year['Wheat'], '--', color='lightgrey')\n",
    "\n",
    "ax51.grid(True)\n",
    "ax51.set_xscale('log')\n",
    "ax51.xaxis.set_major_formatter(ticker.ScalarFormatter())\n",
    "ax51.xaxis.set_minor_formatter(ticker.ScalarFormatter())\n",
    "\n",
    "ax51.set_title(\"Pouvoir d'achat des ouvriers anglais sur la période 1565 à 1810\")\n",
    "ax51.set_xlabel(\"Salaire en Shillings/semaine\")\n",
    "ax51.set_ylabel(\"Prix du blé en Shillings/kg\")\n",
    "\n",
    "# annotation pour les années\n",
    "date_label = [1565, 1600, 1700, 1800, 1810]\n",
    "\n",
    "for year in date_label:\n",
    "    curxy = (data_by_year.loc[year]['Wages'], data_by_year.loc[year]['Wheat'])\n",
    "    curxy_txt = (data_by_year.loc[year]['Wages'], data_by_year.loc[year]['Wheat']-0.75)\n",
    "    ax51.annotate(str(year), xy=curxy,  xycoords='data',\n",
    "                xytext=curxy_txt, textcoords='data',\n",
    "                arrowprops=dict(facecolor='black', width=1, headlength=8, headwidth=8),\n",
    "                horizontalalignment='center', verticalalignment='top')\n",
    "    \n",
    "# faire un peu de place pour les date\n",
    "ax51.set_ylim([2, 12])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cette dernière figure est plus intéressante que la précédente, mais elle est complexe. De plus si l'information principale est l'évolution du pouvoir d'achat en fonction des années, cette figure rend l'interprétation complexe.\n",
    "Cette figure est plutôt intéressante pour voir l'évolution du prix du blé et des salaires de manière précise. Mais la mise en relation de ces variables, a priori indépendantes, ne fait pas sens.\n",
    "\n",
    "### Représentation du pouvoir d'achat directe\n",
    "\n",
    "Pour la dernière itération de cette étude, le pouvoir d'adchat est représentée directement en fonction des années, et des informations secondaire et qualitatives sont données par la taille et la couleur des points pour les variables prix du blé et salaires."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fb73c808860>"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1097.28x548.64 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.gridspec as gridspec\n",
    "from mpl_toolkits.axes_grid1.inset_locator import inset_axes\n",
    "\n",
    "# example to use gridspec\n",
    "# https://scientificallysound.org/2016/06/09/matplotlib-how-to-plot-subplots-of-unequal-sizes/\n",
    "# https://matplotlib.org/3.2.1/gallery/subplots_axes_and_figures/gridspec_multicolumn.html#sphx-glr-gallery-subplots-axes-and-figures-gridspec-multicolumn-py\n",
    "\n",
    "# === tracé de la figure === #\n",
    "\n",
    "fig6, ax61 = plt.subplots(1,1)\n",
    "fig6.set_size_inches(2.54*6, 2.54*3)\n",
    "\n",
    "\n",
    "# below a test with subplot, fail\n",
    "# # set up subplot grid\n",
    "# gridspec.GridSpec(1,6)\n",
    "\n",
    "# ax61 = plt.subplot2grid((1,6), (0,0), colspan=3, rowspan=1)\n",
    "# ax62 = plt.subplot2grid((1,6), (0,3), colspan=2, rowspan=1)\n",
    "# ax63 = plt.subplot2grid((1,6), (0,5), colspan=1, rowspan=1)\n",
    "\n",
    "# add a spine to scatter to ease reading of each year\n",
    "ax61.plot(data_by_year.index, data_by_year['Purchpower'], '--', color='grey')\n",
    "# main data scatter plot with size and color link with variables\n",
    "myScat6 = ax61.scatter(data_by_year.index, data_by_year['Purchpower'], \n",
    "                       c=data_by_year['Wheat'], s=data_by_year['Wages']**2)\n",
    "cbar.ax.set_ylabel(\"Pouvoir d'achat en kg de blé par semaine\")\n",
    "cbar.ax\n",
    "\n",
    "ax61.set_title(\"Pouvoir d'achat des ouvriers anglais sur la période 1565 à 1810\")\n",
    "ax61.set_xlabel(\"Année\")\n",
    "ax61.set_ylabel(\"Prix du blé en Shillings/kg\")\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "# wages legend = size of each circle\n",
    "# add above all an inset axe (do it at the end otherwise, layout not compatible)\n",
    "axins62 = inset_axes(ax61, width=\"20%\", height=\"40%\", loc=2)\n",
    "# no visible axis\n",
    "for direction in [\"left\", \"right\", \"bottom\", \"top\"]:\n",
    "    # hides borders\n",
    "    axins62.axis[direction].set_visible(False)\n",
    "\n",
    "wages_levels = np.arange(5, 35, 5)\n",
    "wages_lx = np.ones(len(wages_levels))*0.5\n",
    "axins62.scatter(wages_lx, wages_levels, s = wages_levels**2)\n",
    "axins62.set_xlim([0.1,1])\n",
    "axins62.set_ylim([4, 36])\n",
    "axins62.text(0.5,0.95,'Salaire en Shillings/sem', transform=axins62.transAxes, horizontalalignment='center')\n",
    "\n",
    "for cur_wage in wages_levels:\n",
    "    axins62.text(0.58, cur_wage, ': ' + str(cur_wage))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "49    3.132099\n",
       "50    2.606061\n",
       "dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "purchasing_power[-2:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'plt' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-1-db578b596448>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0maxins62\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m111\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mwages_levels\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m35\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mwages_lx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mones\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwages_levels\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0;36m0.5\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'plt' is not defined"
     ]
    }
   ],
   "source": [
    "plt.figure()\n",
    "axins62 = plt.subplot(111)\n",
    "\n",
    "wages_levels = np.arange(5, 35, 5)\n",
    "wages_lx = np.ones(len(wages_levels))*0.5\n",
    "axins62.scatter(wages_lx, wages_levels, s = wages_levels**2)\n",
    "axins62.set_xlim([0.1,1])\n",
    "axins62.set_ylim([4, 36])\n",
    "axins62.text(0.5,0.95,'Salaire en Shillings/sem', transform=axins62.transAxes, horizontalalignment='center')\n",
    "\n",
    "for cur_wage in wages_levels:\n",
    "    axins62.text(0.58, cur_wage, ': ' + str(cur_wage))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5, 2, 3, 5)"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(5,2) + (3,5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "hideCode": false,
    "hidePrompt": false
   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Wheat</th>\n",
       "      <th>Wages</th>\n",
       "      <th>Purchpower</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1565</th>\n",
       "      <td>4.767442</td>\n",
       "      <td>5.00</td>\n",
       "      <td>9.019512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1570</th>\n",
       "      <td>5.232558</td>\n",
       "      <td>5.05</td>\n",
       "      <td>8.299956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1575</th>\n",
       "      <td>4.883721</td>\n",
       "      <td>5.08</td>\n",
       "      <td>8.945638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1580</th>\n",
       "      <td>5.697674</td>\n",
       "      <td>5.12</td>\n",
       "      <td>7.728065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1585</th>\n",
       "      <td>4.825581</td>\n",
       "      <td>5.15</td>\n",
       "      <td>9.178169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1590</th>\n",
       "      <td>5.465116</td>\n",
       "      <td>5.25</td>\n",
       "      <td>8.261489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1595</th>\n",
       "      <td>7.441860</td>\n",
       "      <td>5.54</td>\n",
       "      <td>6.402162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1600</th>\n",
       "      <td>3.139535</td>\n",
       "      <td>5.61</td>\n",
       "      <td>15.367244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1605</th>\n",
       "      <td>3.837209</td>\n",
       "      <td>5.69</td>\n",
       "      <td>12.752497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1610</th>\n",
       "      <td>3.720930</td>\n",
       "      <td>5.78</td>\n",
       "      <td>13.359025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1615</th>\n",
       "      <td>3.837209</td>\n",
       "      <td>5.94</td>\n",
       "      <td>13.312800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1620</th>\n",
       "      <td>4.069767</td>\n",
       "      <td>6.01</td>\n",
       "      <td>12.699989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1625</th>\n",
       "      <td>3.837209</td>\n",
       "      <td>6.12</td>\n",
       "      <td>13.716218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1630</th>\n",
       "      <td>5.232558</td>\n",
       "      <td>6.22</td>\n",
       "      <td>10.222916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1635</th>\n",
       "      <td>3.837209</td>\n",
       "      <td>6.30</td>\n",
       "      <td>14.119636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1640</th>\n",
       "      <td>4.534884</td>\n",
       "      <td>6.37</td>\n",
       "      <td>12.080133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1645</th>\n",
       "      <td>6.162791</td>\n",
       "      <td>6.45</td>\n",
       "      <td>9.000792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1650</th>\n",
       "      <td>4.883721</td>\n",
       "      <td>6.50</td>\n",
       "      <td>11.446190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1655</th>\n",
       "      <td>4.709302</td>\n",
       "      <td>6.60</td>\n",
       "      <td>12.052741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1660</th>\n",
       "      <td>5.406977</td>\n",
       "      <td>6.75</td>\n",
       "      <td>10.736129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1665</th>\n",
       "      <td>3.720930</td>\n",
       "      <td>6.80</td>\n",
       "      <td>15.716500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1670</th>\n",
       "      <td>4.302326</td>\n",
       "      <td>6.90</td>\n",
       "      <td>13.792541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1675</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>7.00</td>\n",
       "      <td>12.040000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1680</th>\n",
       "      <td>4.069767</td>\n",
       "      <td>7.30</td>\n",
       "      <td>15.425943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1685</th>\n",
       "      <td>3.139535</td>\n",
       "      <td>7.60</td>\n",
       "      <td>20.818370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1690</th>\n",
       "      <td>4.651163</td>\n",
       "      <td>8.00</td>\n",
       "      <td>14.792000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1695</th>\n",
       "      <td>5.813953</td>\n",
       "      <td>8.50</td>\n",
       "      <td>12.573200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1700</th>\n",
       "      <td>3.488372</td>\n",
       "      <td>9.00</td>\n",
       "      <td>22.188000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1705</th>\n",
       "      <td>3.720930</td>\n",
       "      <td>10.00</td>\n",
       "      <td>23.112500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1710</th>\n",
       "      <td>5.116279</td>\n",
       "      <td>11.00</td>\n",
       "      <td>18.490000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1715</th>\n",
       "      <td>3.837209</td>\n",
       "      <td>11.75</td>\n",
       "      <td>26.334242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1720</th>\n",
       "      <td>3.372093</td>\n",
       "      <td>12.50</td>\n",
       "      <td>31.879310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1725</th>\n",
       "      <td>4.534884</td>\n",
       "      <td>13.00</td>\n",
       "      <td>24.653333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1730</th>\n",
       "      <td>3.023256</td>\n",
       "      <td>13.30</td>\n",
       "      <td>37.833385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1735</th>\n",
       "      <td>3.720930</td>\n",
       "      <td>13.60</td>\n",
       "      <td>31.433000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1740</th>\n",
       "      <td>3.139535</td>\n",
       "      <td>14.00</td>\n",
       "      <td>38.349630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1745</th>\n",
       "      <td>3.197674</td>\n",
       "      <td>14.50</td>\n",
       "      <td>38.997091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1750</th>\n",
       "      <td>3.604651</td>\n",
       "      <td>15.00</td>\n",
       "      <td>35.787097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1755</th>\n",
       "      <td>4.127907</td>\n",
       "      <td>15.70</td>\n",
       "      <td>32.709070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1760</th>\n",
       "      <td>3.604651</td>\n",
       "      <td>16.50</td>\n",
       "      <td>39.365806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1765</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>17.60</td>\n",
       "      <td>30.272000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1770</th>\n",
       "      <td>5.465116</td>\n",
       "      <td>18.50</td>\n",
       "      <td>29.111915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1775</th>\n",
       "      <td>5.116279</td>\n",
       "      <td>19.50</td>\n",
       "      <td>32.777727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1780</th>\n",
       "      <td>5.348837</td>\n",
       "      <td>21.00</td>\n",
       "      <td>33.764348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1785</th>\n",
       "      <td>4.883721</td>\n",
       "      <td>23.00</td>\n",
       "      <td>40.501905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1790</th>\n",
       "      <td>5.523256</td>\n",
       "      <td>25.50</td>\n",
       "      <td>39.704842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1795</th>\n",
       "      <td>8.837209</td>\n",
       "      <td>27.50</td>\n",
       "      <td>26.761842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1800</th>\n",
       "      <td>9.186047</td>\n",
       "      <td>28.50</td>\n",
       "      <td>26.681772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1805</th>\n",
       "      <td>9.418605</td>\n",
       "      <td>29.50</td>\n",
       "      <td>26.936049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1810</th>\n",
       "      <td>11.511628</td>\n",
       "      <td>30.00</td>\n",
       "      <td>22.412121</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Wheat  Wages  Purchpower\n",
       "Year                              \n",
       "1565   4.767442   5.00    9.019512\n",
       "1570   5.232558   5.05    8.299956\n",
       "1575   4.883721   5.08    8.945638\n",
       "1580   5.697674   5.12    7.728065\n",
       "1585   4.825581   5.15    9.178169\n",
       "1590   5.465116   5.25    8.261489\n",
       "1595   7.441860   5.54    6.402162\n",
       "1600   3.139535   5.61   15.367244\n",
       "1605   3.837209   5.69   12.752497\n",
       "1610   3.720930   5.78   13.359025\n",
       "1615   3.837209   5.94   13.312800\n",
       "1620   4.069767   6.01   12.699989\n",
       "1625   3.837209   6.12   13.716218\n",
       "1630   5.232558   6.22   10.222916\n",
       "1635   3.837209   6.30   14.119636\n",
       "1640   4.534884   6.37   12.080133\n",
       "1645   6.162791   6.45    9.000792\n",
       "1650   4.883721   6.50   11.446190\n",
       "1655   4.709302   6.60   12.052741\n",
       "1660   5.406977   6.75   10.736129\n",
       "1665   3.720930   6.80   15.716500\n",
       "1670   4.302326   6.90   13.792541\n",
       "1675   5.000000   7.00   12.040000\n",
       "1680   4.069767   7.30   15.425943\n",
       "1685   3.139535   7.60   20.818370\n",
       "1690   4.651163   8.00   14.792000\n",
       "1695   5.813953   8.50   12.573200\n",
       "1700   3.488372   9.00   22.188000\n",
       "1705   3.720930  10.00   23.112500\n",
       "1710   5.116279  11.00   18.490000\n",
       "1715   3.837209  11.75   26.334242\n",
       "1720   3.372093  12.50   31.879310\n",
       "1725   4.534884  13.00   24.653333\n",
       "1730   3.023256  13.30   37.833385\n",
       "1735   3.720930  13.60   31.433000\n",
       "1740   3.139535  14.00   38.349630\n",
       "1745   3.197674  14.50   38.997091\n",
       "1750   3.604651  15.00   35.787097\n",
       "1755   4.127907  15.70   32.709070\n",
       "1760   3.604651  16.50   39.365806\n",
       "1765   5.000000  17.60   30.272000\n",
       "1770   5.465116  18.50   29.111915\n",
       "1775   5.116279  19.50   32.777727\n",
       "1780   5.348837  21.00   33.764348\n",
       "1785   4.883721  23.00   40.501905\n",
       "1790   5.523256  25.50   39.704842\n",
       "1795   8.837209  27.50   26.761842\n",
       "1800   9.186047  28.50   26.681772\n",
       "1805   9.418605  29.50   26.936049\n",
       "1810  11.511628  30.00   22.412121"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_by_year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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