{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Sujet 2 : le pouvoir d'achat des ouvriers anglais du XVIe au XIXe siècle\n", "\n", "## Importation des données\n", "\n", "Les données utilisées dans le cadre de cette étude proviennent des travaux de [William Playfair](https://fr.wikipedia.org/wiki/William_Playfair). Plus précisément, elles sont tirées de son livre \"[A Letter on Our Agricultural Distresses, Their Causes and Remedies](https://books.google.fr/books/about/A_Letter_on_Our_Agricultural_Distresses.html?id=aQZGAQAAMAAJ)\" dans lequel peut être trouvé un de ses [graphes](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) célèbres, présentant l'évolution du prix du blé et du salaire moyen entre 1565 et 1821.\n", "\n", "Par la [numérisation](https://vincentarelbundock.github.io/Rdatasets/doc/HistData/Wheat.html) de ce graphe, des valeurs ont pu être obtenues au sein d'un [fichier au format CSV](https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/HistData/Wheat.csv). C'est à partir de ce fichier que l'ensemble des calculs présentés ici ont été réalisés." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "data_url = \"https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/HistData/Wheat.csv\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Dans un premier temps, on introduit l'ensemble des bibliothèques qui nous serviront pour le code lié aux calculs :" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import pandas as pd" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Les données présentes dans le fichier au format CSV sont les suivantes :" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Unnamed: 0YearWheatWages
01156541.05.00
12157045.05.05
23157542.05.08
34158049.05.12
45158541.55.15
56159047.05.25
67159564.05.54
78160027.05.61
89160533.05.69
910161032.05.78
1011161533.05.94
1112162035.06.01
1213162533.06.12
1314163045.06.22
1415163533.06.30
1516164039.06.37
1617164553.06.45
1718165042.06.50
1819165540.56.60
1920166046.56.75
2021166532.06.80
2122167037.06.90
2223167543.07.00
2324168035.07.30
2425168527.07.60
2526169040.08.00
2627169550.08.50
2728170030.09.00
2829170532.010.00
2930171044.011.00
3031171533.011.75
3132172029.012.50
3233172539.013.00
3334173026.013.30
3435173532.013.60
3536174027.014.00
3637174527.514.50
3738175031.015.00
3839175535.515.70
3940176031.016.50
4041176543.017.60
4142177047.018.50
4243177544.019.50
4344178046.021.00
4445178542.023.00
4546179047.525.50
4647179576.027.50
4748180079.028.50
4849180581.029.50
4950181099.030.00
5051181578.0NaN
5152182054.0NaN
5253182154.0NaN
\n", "
" ], "text/plain": [ " Unnamed: 0 Year Wheat Wages\n", "0 1 1565 41.0 5.00\n", "1 2 1570 45.0 5.05\n", "2 3 1575 42.0 5.08\n", "3 4 1580 49.0 5.12\n", "4 5 1585 41.5 5.15\n", "5 6 1590 47.0 5.25\n", "6 7 1595 64.0 5.54\n", "7 8 1600 27.0 5.61\n", "8 9 1605 33.0 5.69\n", "9 10 1610 32.0 5.78\n", "10 11 1615 33.0 5.94\n", "11 12 1620 35.0 6.01\n", "12 13 1625 33.0 6.12\n", "13 14 1630 45.0 6.22\n", "14 15 1635 33.0 6.30\n", "15 16 1640 39.0 6.37\n", "16 17 1645 53.0 6.45\n", "17 18 1650 42.0 6.50\n", "18 19 1655 40.5 6.60\n", "19 20 1660 46.5 6.75\n", "20 21 1665 32.0 6.80\n", "21 22 1670 37.0 6.90\n", "22 23 1675 43.0 7.00\n", "23 24 1680 35.0 7.30\n", "24 25 1685 27.0 7.60\n", "25 26 1690 40.0 8.00\n", "26 27 1695 50.0 8.50\n", "27 28 1700 30.0 9.00\n", "28 29 1705 32.0 10.00\n", "29 30 1710 44.0 11.00\n", "30 31 1715 33.0 11.75\n", "31 32 1720 29.0 12.50\n", "32 33 1725 39.0 13.00\n", "33 34 1730 26.0 13.30\n", "34 35 1735 32.0 13.60\n", "35 36 1740 27.0 14.00\n", "36 37 1745 27.5 14.50\n", "37 38 1750 31.0 15.00\n", "38 39 1755 35.5 15.70\n", "39 40 1760 31.0 16.50\n", "40 41 1765 43.0 17.60\n", "41 42 1770 47.0 18.50\n", "42 43 1775 44.0 19.50\n", "43 44 1780 46.0 21.00\n", "44 45 1785 42.0 23.00\n", "45 46 1790 47.5 25.50\n", "46 47 1795 76.0 27.50\n", "47 48 1800 79.0 28.50\n", "48 49 1805 81.0 29.50\n", "49 50 1810 99.0 30.00\n", "50 51 1815 78.0 NaN\n", "51 52 1820 54.0 NaN\n", "52 53 1821 54.0 NaN" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "raw_data = pd.read_csv(data_url,header=0)\n", "raw_data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Reproduction du graphe de Playfair\n", "\n", "Au sein de cette partie, on tente de reproduire le graphique initial de Playfair. Il s'agit dans un premier temps d'extraire les données du tableau ci-dessus. Les données sont stockées dans les variables X,Y1 et Y2 qui vont par la suite nous permettre de tracer les graphiques souhaités." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "X=raw_data['Year'] #Contient les années\n", "Y1=raw_data['Wages'] #Contient le salaire correspondant à chaque année\n", "Y2=raw_data['Wheat'] #Contient le prix du blé correspondant à chaque année\n", "\n", "plt.grid(True)\n", "plt.plot(X, Y1,\"r\",label='Salaire (Shillings/Semaine)',linewidth=2)\n", "plt.bar(X,Y2,label='Prix du blé (Shillings/Quart de boisseau)',color='black',width=2.5)\n", "plt.fill_between(X,Y1,color='blue',alpha=0.25)\n", "\n", "plt.xlabel('Années (/5 ans)')\n", "plt.ylabel('Shillings')\n", "plt.legend()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Amélioration de la présentation des données\n", "\n", "Il s'agit désormais de modifier le graphique précédent afin d'obtenir une représentation plus pertinente des données.\n", "\n", "On va procéder différemment du paragraphe précédent en créant axes et courbes étape par étape. À l'inverse du paragraphe précédent où l'on a créé la courbe avant de définir les axes des abscisses et ordonnées, on créé et on défini ici d'abord les axes puis l'on trace les courbes correspondant à ces axes : " ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax1 = plt.subplots()\n", "\n", "ax1.set_xlabel('Années (/5 ans)')\n", "ax1.set_ylabel('Salaire (Shillings/Semaine)',color='red')\n", "ax1.plot(X, Y1, \"r\")\n", "ax1.fill_between(X, Y1, color='blue',alpha=0.15)\n", "\n", "ax2=ax1.twinx()\n", "ax2.set_ylabel('Prix du blé (Shillings/Quart de boisseau)',color='black')\n", "ax2.bar(X, Y2, color='black',width=2.5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Utiliser deux courbes serait cependant peut être plus lisible, il suffit alors de remplacer simplement le type de graphique pour ax2 (\"bar\" devient \"plot\") :" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax1 = plt.subplots()\n", "\n", "ax1.set_xlabel('Années (/5 ans)')\n", "ax1.set_ylabel('Salaire (Shillings/Semaine)',color='red')\n", "ax1.plot(X, Y1, \"r\")\n", "\n", "ax2=ax1.twinx()\n", "ax2.set_ylabel('Prix du blé (Shillings/Quart de boisseau)',color='blue')\n", "ax2.plot(X, Y2, \"b\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Étude du pouvoir d'achat des ouvriers\n", "\n", "Dans cette dernière partie, on utilise les données pour déterminer de quelle manière à évoluer le pouvoir d'achat des ouvriers au cours du temps.\n", "\n", "Dans un premier temps, afin de rendre les données plus actuelles, on va ramener le prix du blé au kilogramme. Un quart de boisseau de blé étant équivalent à 6,8 kg de blé, on divise le prix d'un quart de boisseau de blé par 6,8 pour obtenir le prix au kilo (arrondi à deux décimales près). Pour cela on introduit une variable \"PK\" tel que :" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0 6.03\n", "1 6.62\n", "2 6.18\n", "3 7.21\n", "4 6.10\n", "5 6.91\n", "6 9.41\n", "7 3.97\n", "8 4.85\n", "9 4.71\n", "10 4.85\n", "11 5.15\n", "12 4.85\n", "13 6.62\n", "14 4.85\n", "15 5.74\n", "16 7.79\n", "17 6.18\n", "18 5.96\n", "19 6.84\n", "20 4.71\n", "21 5.44\n", "22 6.32\n", "23 5.15\n", "24 3.97\n", "25 5.88\n", "26 7.35\n", "27 4.41\n", "28 4.71\n", "29 6.47\n", "30 4.85\n", "31 4.26\n", "32 5.74\n", "33 3.82\n", "34 4.71\n", "35 3.97\n", "36 4.04\n", "37 4.56\n", "38 5.22\n", "39 4.56\n", "40 6.32\n", "41 6.91\n", "42 6.47\n", "43 6.76\n", "44 6.18\n", "45 6.99\n", "46 11.18\n", "47 11.62\n", "48 11.91\n", "49 14.56\n", "50 11.47\n", "51 7.94\n", "52 7.94\n", "Name: Wheat, dtype: float64\n" ] } ], "source": [ "PK = round(Y2/6.8,2)\n", "print(PK)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Le pouvoir d'achat d'un ouvrier se définit par la quantité de blé qu'il peut acheter avec son salaire par semaine (en kg, arrondi à deux décimales près). On définit donc la variable pouvoir d'achat \"PA\" tel que :" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0 0.83\n", "1 0.76\n", "2 0.82\n", "3 0.71\n", "4 0.84\n", "5 0.76\n", "6 0.59\n", "7 1.41\n", "8 1.17\n", "9 1.23\n", "10 1.22\n", "11 1.17\n", "12 1.26\n", "13 0.94\n", "14 1.30\n", "15 1.11\n", "16 0.83\n", "17 1.05\n", "18 1.11\n", "19 0.99\n", "20 1.44\n", "21 1.27\n", "22 1.11\n", "23 1.42\n", "24 1.91\n", "25 1.36\n", "26 1.16\n", "27 2.04\n", "28 2.12\n", "29 1.70\n", "30 2.42\n", "31 2.93\n", "32 2.26\n", "33 3.48\n", "34 2.89\n", "35 3.53\n", "36 3.59\n", "37 3.29\n", "38 3.01\n", "39 3.62\n", "40 2.78\n", "41 2.68\n", "42 3.01\n", "43 3.11\n", "44 3.72\n", "45 3.65\n", "46 2.46\n", "47 2.45\n", "48 2.48\n", "49 2.06\n", "50 NaN\n", "51 NaN\n", "52 NaN\n", "dtype: float64\n" ] } ], "source": [ "PA = round(Y1/PK,2)\n", "print(PA)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Il ne reste plus qu'à tracer l'évolution de ce pouvoir d'achat au cours du temps :" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0,0.5,\"Pouvoir d'achat (kg de blé)\")" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.grid(True)\n", "plt.plot(X, PA, \"r\")\n", "plt.xlabel('Années')\n", "plt.ylabel('Pouvoir d\\'achat (kg de blé)')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Il peut être remarqué que le pouvoir d'achat a globalement augmenté, un ouvrier pouvant acheter un peu plus d'1 kg de blé avec son salaire hébdomadaire au début du 17ème siècle contre plus de 3 kg au milieu du 18ème siècle. Cependant le pouvoir d'achat semble avoir commencé à diminuer à partir de la fin du 18ème siècle.\n", "\n", "Enfin, pour la dernière partie de cette étude, on va tenter de représenter autrement les données, au travers d'un graphique sur lequel n'est pas représenté l'axe du temps.\n", "\n", "On a fait le choix de représenter un nuage de point avec en abscisse les salaires hebdomadaires des ouvriers et en ordonnée le prix du blé au kilogramme. Ainsi, des points situés en haut à gauche du graphique seront synonymes d'un pouvoir d'achat élevé, tandis que des points situés en bas à droite, un pouvoir d'achat faible.\n", "\n", "Trois droites représentant respectivement des Pouvoir d'achat de 1, 2 et 3 kg de blé sont également tracées. Elles permettent de mieux observer l'évolution du pouvoir d'achat pour les ouvriers au cours du temps. \n", "\n", "Les points sont colorés de telle sorte que chaque couleur correspond à une période d'un demi siècle." ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.grid(True)\n", "plt.scatter(PK[0:6],raw_data['Wages'][0:6],label='< 1600')\n", "plt.scatter(PK[7:16],raw_data['Wages'][7:16],label='1600 à 1649')\n", "plt.scatter(PK[17:26],raw_data['Wages'][17:26],label='1650 à 1699')\n", "plt.scatter(PK[27:36],raw_data['Wages'][27:36],label='1700 à 1749')\n", "plt.scatter(PK[37:46],raw_data['Wages'][37:46],label='1750 à 1799')\n", "plt.scatter(PK[47:52],raw_data['Wages'][47:52],label='1800 à 1849')\n", "\n", "plt.plot([0,15],[0,15],label='PA = 1')\n", "plt.plot([0,15],[0,30],label='PA = 2')\n", "plt.plot([0,15],[0,45],label='PA = 3')\n", "\n", "plt.xlabel('Prix du blé (Schillings/Kg)')\n", "plt.ylabel('Salaires (Schillings)')\n", "plt.legend()" ] }, { "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 }