From 41954bd79dbc07c4d007d81d8ac3526457d2babb Mon Sep 17 00:00:00 2001 From: f969076062e7e87452e3220760453367 Date: Wed, 29 Apr 2020 11:52:11 +0000 Subject: [PATCH] =?UTF-8?q?Premi=C3=A8re=20version=20du=20graphique?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- module3/exo3/exercice.ipynb | 40 +++++++++++++++++++++++++++++++++++-- 1 file changed, 38 insertions(+), 2 deletions(-) diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb index 09f475c..59e2244 100644 --- a/module3/exo3/exercice.ipynb +++ b/module3/exo3/exercice.ipynb @@ -49,7 +49,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -512,7 +512,7 @@ "52 53 1821 54.0 NaN" ] }, - "execution_count": 5, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -522,6 +522,42 @@ "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.\n", + "\n", + "On indique que, dans le tableau, ce sont les valeurs contenues dans \"Year\" qui nous servent d'index." + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "data = raw_data.set_index('Year')\n", + "data['Wages'].plot()\n", + "plt.bar(raw_data['Year'],data['Wheat'])\n", + "plt.tight_layout()" + ] + }, { "cell_type": "code", "execution_count": null, -- 2.18.1