Tentative de faire un tableau avec pygal (fail...)
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"collapsed": true
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"source": [
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"dnb2017_ville = dnb2017_ville.assign(\n",
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"dnb2017_ville = dnb2017_ville.assign(\n",
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"collapsed": true
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"outputs": [],
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"source": [
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"dnb2017_ville = dnb2017_ville.reset_index()"
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"13 36.000000 "
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@ -1179,6 +1186,257 @@
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"#bar_chart.render_to_file(f\"./fig/bar_admis_clg.svg\")"
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"cell_type": "markdown",
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"source": [
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"## Tableau des colleges avec le plus de mentions"
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"cell_type": "code",
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"execution_count": 19,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style>\n",
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" .dataframe thead tr:only-child th {\n",
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" text-align: right;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: left;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Collège</th>\n",
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" <th>Ville</th>\n",
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" <th>Présents\n",
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"au DNB</th>\n",
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" <th>Taux de réussite</th>\n",
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" <th>Taux de mentions</th>\n",
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" <th>tx_admis</th>\n",
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" <th>tx_mention</th>\n",
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" <th>nbr_admis</th>\n",
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" <th>nbr_mentions</th>\n",
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" <th>nbr_sans_mentions</th>\n",
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" <th>tx_non_admis</th>\n",
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" <th>tx_sans_mention</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>SADA</td>\n",
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" <td>Sada</td>\n",
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" <td>229</td>\n",
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" <td>81.66 %</td>\n",
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" <td>49.78 %</td>\n",
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" <td>0.8166</td>\n",
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" <td>0.4978</td>\n",
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" <td>187</td>\n",
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" <td>113</td>\n",
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" <td>74</td>\n",
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" <td>0.1834</td>\n",
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" <td>0.3188</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>KANI-KELI</td>\n",
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" <td>Kani keli</td>\n",
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" <td>158</td>\n",
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" <td>85.44 %</td>\n",
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" <td>48.10 %</td>\n",
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" <td>0.8544</td>\n",
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" <td>0.4810</td>\n",
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" <td>134</td>\n",
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" <td>75</td>\n",
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" <td>59</td>\n",
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" <td>0.1456</td>\n",
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" <td>0.3734</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>BANDRELE</td>\n",
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" <td>Bandrele</td>\n",
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" <td>176</td>\n",
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" <td>78.41 %</td>\n",
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" <td>47.73 %</td>\n",
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" <td>0.7841</td>\n",
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" <td>0.4773</td>\n",
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" <td>138</td>\n",
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" <td>84</td>\n",
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" <td>54</td>\n",
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" <td>0.2159</td>\n",
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" <td>0.3068</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>PASSAMAINTY</td>\n",
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" <td>Mamoudzou</td>\n",
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" <td>344</td>\n",
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" <td>87.21 %</td>\n",
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" <td>47.67 %</td>\n",
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" <td>0.8721</td>\n",
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" <td>0.4767</td>\n",
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" <td>300</td>\n",
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" <td>163</td>\n",
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" <td>137</td>\n",
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" <td>0.1279</td>\n",
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" <td>0.3954</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>KAWENI 1</td>\n",
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" <td>Mamoudzou</td>\n",
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" <td>333</td>\n",
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" <td>86.79 %</td>\n",
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" <td>47.15 %</td>\n",
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" <td>0.8679</td>\n",
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" <td>0.4715</td>\n",
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" <td>289</td>\n",
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" <td>157</td>\n",
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" <td>132</td>\n",
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" <td>0.1321</td>\n",
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" <td>0.3964</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Collège Ville Présents\\nau DNB Taux de réussite Taux de mentions \\\n",
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"0 SADA Sada 229 81.66 % 49.78 % \n",
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"1 KANI-KELI Kani keli 158 85.44 % 48.10 % \n",
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"2 BANDRELE Bandrele 176 78.41 % 47.73 % \n",
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"3 PASSAMAINTY Mamoudzou 344 87.21 % 47.67 % \n",
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"4 KAWENI 1 Mamoudzou 333 86.79 % 47.15 % \n",
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"\n",
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" tx_admis tx_mention nbr_admis nbr_mentions nbr_sans_mentions \\\n",
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"0 0.8166 0.4978 187 113 74 \n",
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"1 0.8544 0.4810 134 75 59 \n",
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"2 0.7841 0.4773 138 84 54 \n",
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"3 0.8721 0.4767 300 163 137 \n",
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"4 0.8679 0.4715 289 157 132 \n",
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"\n",
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" tx_non_admis tx_sans_mention \n",
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"0 0.1834 0.3188 \n",
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"1 0.1456 0.3734 \n",
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"2 0.2159 0.3068 \n",
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"3 0.1279 0.3954 \n",
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"4 0.1321 0.3964 "
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]
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},
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"execution_count": 19,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"dnb2017.head()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 27,
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"metadata": {},
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"outputs": [],
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"source": [
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"top_mentions = dnb2017[['Collège', 'nbr_mentions']].sort_values('nbr_mentions',ascending=False).head(3)"
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]
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},
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"cell_type": "code",
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"execution_count": 33,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style>\n",
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" .dataframe thead tr:only-child th {\n",
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" text-align: right;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: left;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Collège</th>\n",
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" <th>nbr_mentions</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>9</th>\n",
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" <td>NELSON MANDELA</td>\n",
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" <td>166</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>PASSAMAINTY</td>\n",
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" <td>163</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>KAWENI 1</td>\n",
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" <td>157</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Collège nbr_mentions\n",
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"9 NELSON MANDELA 166\n",
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"3 PASSAMAINTY 163\n",
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"4 KAWENI 1 157"
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]
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},
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"execution_count": 33,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"top_mentions"
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},
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"cell_type": "code",
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"execution_count": 32,
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"metadata": {},
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"outputs": [],
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"source": [
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"line_chart = pygal.Bar()\n",
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"line_chart.title = 'Top 3 du nombre de mentions'\n",
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"line_chart.x_labels = top_mentions['Collège']\n",
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"line_chart.add('Nombre de mentions', top_mentions['nbr_mentions'])\n",
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"with open(\"./fig/top3mentions.svg\", \"w\") as f:\n",
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" f.write(line_chart.render_table(style=True))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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