From 5e5cfd2474d1767014d4e4277028ca62ce5e7265 Mon Sep 17 00:00:00 2001 From: 1b9d5d5d82005e2b54b9ac83be96a5b8 <1b9d5d5d82005e2b54b9ac83be96a5b8@app-learninglab.inria.fr> Date: Fri, 17 May 2024 16:52:03 +0000 Subject: [PATCH] update1 --- module3/exo1/analyse-syndrome-grippal.ipynb | 165 ++++++++++++++++---- 1 file changed, 137 insertions(+), 28 deletions(-) diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index d2077ac..9767852 100644 --- a/module3/exo1/analyse-syndrome-grippal.ipynb +++ b/module3/exo1/analyse-syndrome-grippal.ipynb @@ -2118,7 +2118,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -2148,7 +2148,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -2201,24 +2201,66 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 35, "metadata": {}, "outputs": [ { - "ename": "TypeError", - "evalue": "Empty 'DataFrame': no numeric data to plot", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msorted_data\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'inc'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)\u001b[0m\n\u001b[1;32m 2501\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolormap\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtable\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2502\u001b[0m \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecondary_y\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msecondary_y\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2503\u001b[0;31m **kwds)\n\u001b[0m\u001b[1;32m 2504\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplot_series\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2505\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36mplot_series\u001b[0;34m(data, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)\u001b[0m\n\u001b[1;32m 1925\u001b[0m \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1926\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecondary_y\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msecondary_y\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1927\u001b[0;31m **kwds)\n\u001b[0m\u001b[1;32m 1928\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1929\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m_plot\u001b[0;34m(data, x, y, subplots, ax, kind, **kwds)\u001b[0m\n\u001b[1;32m 1727\u001b[0m \u001b[0mplot_obj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mklass\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msubplots\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msubplots\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1728\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1729\u001b[0;31m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgenerate\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 1730\u001b[0m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1731\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36mgenerate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 248\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 249\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_args_adjust\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 250\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_compute_plot_data\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 251\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_setup_subplots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 252\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_plot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m_compute_plot_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 363\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mis_empty\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 364\u001b[0m raise TypeError('Empty {0!r}: no numeric data to '\n\u001b[0;32m--> 365\u001b[0;31m 'plot'.format(numeric_data.__class__.__name__))\n\u001b[0m\u001b[1;32m 366\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 367\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnumeric_data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mTypeError\u001b[0m: Empty 'DataFrame': no numeric data to plot" - ] + "data": { + "text/plain": [ + "'68422'" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sorted_data['inc'][0]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Toute la colonne 'inc' est représentée par des chaines de caractères à cause du trait dans la ligne de la semaine 19 de l'année 1989. " + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "sorted_data['inc'] = sorted_data['inc'].astype(int)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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