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Eval-checkpoint.__22ipynb 3.33 MiB
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{
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 "cells": [
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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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    "ExecuteTime": {
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     "end_time": "2018-03-22T11:58:38.092638Z",
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     "start_time": "2018-03-22T11:58:38.066875Z"
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    }
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   },
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   "outputs": [
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    {
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     "data": {
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      "text/html": [
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       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
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      ],
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      "text/vnd.plotly.v1+html": [
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       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
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      ]
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     },
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     "metadata": {},
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     "output_type": "display_data"
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    },
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    {
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     "name": "stdout",
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     "output_type": "stream",
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     "text": [
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      "/Users/jacquesfize/nas_cloud/Code/str-python\n"
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     ]
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    }
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   ],
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   "source": [
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    "import pandas as pd\n",
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    "import matplotlib.pyplot as plt\n",
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    "import networkx as nx\n",
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    "import json,glob,re\n",
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    "from scipy.spatial.distance import jaccard\n",
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    "import numpy as np\n",
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    "from math import*\n",
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    "\n",
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    "import matplotlib.pyplot as plt\n",
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    "import seaborn as sns\n",
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    "#%matplotlib inline\n",
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    "#from IPython.display import set_matplotlib_formats\n",
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    "#set_matplotlib_formats('pdf', 'svg')\n",
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    "#sns.set_palette(sns.color_palette(\"hls\", 8))\n",
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    "\n",
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    "\n",
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    "import plotly.graph_objs as go\n",
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    "import plotly.offline as py\n",
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    "from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot\n",
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    "init_notebook_mode(connected=True)\n",
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    "\n",
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    "\n",
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    "def jaccard_similarity(x,y): \n",
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    "    intersection_cardinality = len(set.intersection(*[set(x), set(y)]))\n",
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    "    union_cardinality = len(set.union(*[set(x), set(y)]))\n",
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    "    return intersection_cardinality/float(union_cardinality)\n",
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    "%cd .."
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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": 28,
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   "metadata": {
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    "ExecuteTime": {
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     "end_time": "2018-03-22T11:58:39.805564Z",
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     "start_time": "2018-03-22T11:58:38.559018Z"
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    }
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}, "outputs": [], "source": [ "df=pd.read_csv(\"resources/results_graph_exp18fev.tsv\",delimiter=\"\\t\",index_col=0)\n", "new_df=pd.DataFrame(columns=df.columns)\n", "\n", "selected_graph=json.load(open(\"data/graph_exp_fev_18/selected.json\"))\n", "types=df.type.unique()\n", "graph_size={}\n", "graphs_={}\n", "\n", "files_glob= glob.glob(\"data/graph_exp_fev_18/normal/*.gexf\")\n", "for fn in files_glob:\n", " id_ = int(re.findall(\"\\d+\", fn)[-1])\n", " graphs_[id_]=nx.read_gexf(fn)\n", " graph_size[id_]=len(graphs_[id_])\n", "graph_size[999]=0\n", "nb_of_g_w_es_com={}\n", "for g in graphs_:\n", " if not g in nb_of_g_w_es_com:\n", " nb_of_g_w_es_com[g]=0\n", " for g2 in graphs_:\n", " if not g2 == g:\n", " if set(graphs_[g].nodes()).intersection(set(graphs_[g2].nodes())):\n", " nb_of_g_w_es_com[g]+=1 \n", "\n" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "ExecuteTime": { "end_time": "2018-03-22T11:58:40.305156Z", "start_time": "2018-03-22T11:58:40.299648Z" } }, "outputs": [], "source": [ "df_mesure=pd.read_csv(\"resources/mesures.tsv\",delimiter=\"\\t\")" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "ExecuteTime": { "end_time": "2018-03-22T11:58:44.001448Z", "start_time": "2018-03-22T11:58:40.770565Z" } }, "outputs": [], "source": [ "n=3\n", "df_copy=pd.DataFrame(columns=df.columns)\n", "for t in types:\n", " mesures=df[df.type == t].mesure.unique()\n", " for m in mesures:\n", " data=df[(df.mesure == m) & (df.type == t)]\n", " for g in selected_graph:\n", " subset=data[data.id_g1 == g].iloc[:n]\n", " if len(subset)<1:#No graph found\n", " df_2=pd.DataFrame([[g,999,m,t,3,0,0,0,0]],columns=df.columns)\n", " for i in range(n):df_copy=df_copy.append(df_2)\n", " elif len(subset)<n: # not 5 associated graphs\n", " df_2=pd.DataFrame([[g,999,m,t,3,0,0,0,0]],columns=df.columns)\n", " for i in range(n-len(subset)):df_copy=df_copy.append(df_2)\n", " else:# perfecto ! :P\n", " df_copy=df_copy.append(subset)\n", "df=df_copy"
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] }, { "cell_type": "code", "execution_count": 31, "metadata": { "ExecuteTime": { "end_time": "2018-03-22T11:58:45.298902Z", "start_time": "2018-03-22T11:58:45.270859Z" }, "scrolled": false }, "outputs": [ { "data": { "text/html": [ "<div>\n", "<table border=\"1\" class=\"dataframe\">\n", " <thead>\n", " <tr style=\"text-align: right;\">\n", " <th></th>\n", " <th>id_g1</th>\n", " <th>id_g2</th>\n", " <th>mesure</th>\n", " <th>type</th>\n", " <th>id_user</th>\n", " <th>c1_val</th>\n", " <th>c2_val</th>\n", " <th>c3_val</th>\n", " <th>c4_val</th>\n", " </tr>\n", " </thead>\n", " <tbody>\n", " <tr>\n", " <th>1</th>\n", " <td>2.0</td>\n", " <td>230.0</td>\n", " <td>1.0</td>\n", " <td>normal</td>\n", " <td>3.0</td>\n", " <td>1.0</td>\n", " <td>1.0</td>\n", " <td>1.0</td>\n", " <td>1.0</td>\n", " </tr>\n", " <tr>\n", " <th>2</th>\n", " <td>2.0</td>\n", " <td>275.0</td>\n", " <td>1.0</td>\n", " <td>normal</td>\n", " <td>3.0</td>\n", " <td>1.0</td>\n", " <td>1.0</td>\n", " <td>1.0</td>\n", " <td>1.0</td>\n", " </tr>\n", " <tr>\n", " <th>3</th>\n", " <td>2.0</td>\n", " <td>269.0</td>\n", " <td>1.0</td>\n", " <td>normal</td>\n", " <td>3.0</td>\n", " <td>1.0</td>\n", " <td>1.0</td>\n", " <td>1.0</td>\n", " <td>1.0</td>\n", " </tr>\n", " <tr>\n",
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"2 2.0 275.0 1.0 normal 3.0 1.0 1.0 1.0 1.0\n", "3 2.0 269.0 1.0 normal 3.0 1.0 1.0 1.0 1.0\n", "6 7.0 437.0 1.0 normal 3.0 1.0 1.0 0.0 0.0\n", "7 7.0 4.0 1.0 normal 3.0 1.0 1.0 0.0 0.0\n", "8 7.0 371.0 1.0 normal 3.0 1.0 1.0 0.0 0.0\n", "11 14.0 443.0 1.0 normal 3.0 1.0 1.0 1.0 1.0\n", "12 14.0 437.0 1.0 normal 3.0 1.0 1.0 1.0 1.0\n", "13 14.0 4.0 1.0 normal 3.0 1.0 1.0 1.0 1.0\n", "16 27.0 26.0 1.0 normal 3.0 1.0 0.0 0.0 0.0\n", "17 27.0 33.0 1.0 normal 3.0 1.0 1.0 0.0 0.0\n", "18 27.0 40.0 1.0 normal 3.0 1.0 0.0 0.0 0.0\n", "21 45.0 21.0 1.0 normal 3.0 1.0 1.0 0.0 1.0\n", "22 45.0 23.0 1.0 normal 3.0 1.0 1.0 0.0 0.0\n", "23 45.0 44.0 1.0 normal 3.0 1.0 1.0 0.0 0.0\n", "26 47.0 81.0 1.0 normal 3.0 1.0 1.0 0.0 0.0\n", "27 47.0 170.0 1.0 normal 3.0 1.0 1.0 0.0 0.0\n", "28 47.0 488.0 1.0 normal 3.0 1.0 1.0 0.0 0.0\n", "31 53.0 154.0 1.0 normal 3.0 1.0 1.0 0.0 0.0\n", "32 53.0 512.0 1.0 normal 3.0 1.0 1.0 0.0 0.0" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head(20)" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "ExecuteTime": { "end_time": "2018-03-22T11:58:49.010880Z", "start_time": "2018-03-22T11:58:46.509434Z" } }, "outputs": [], "source": [ "df[\"g1_size\"]=df[\"id_g1\"].apply(lambda x:graph_size[int(x)])\n", "df[\"g2_size\"]=df[\"id_g2\"].apply(lambda x:graph_size[int(x)])\n", "df[\"mesure\"]=df[\"mesure\"].apply(lambda x:df_mesure[df_mesure.id==x].values[0][-1])\n", "df['c1*c2']=df.c1_val*df.c2_val\n", "df['c1+c2']=(df.c1_val+df.c2_val).apply(lambda x:x if x<2 else 1)\n", "df['c1*c2*c3']=df.c1_val*df.c2_val*df.c3_val\n", "df['c1*c3']=df.c1_val*df.c3_val\n", "df['c1+c3']=(df.c1_val+df.c3_val).apply(lambda x:x if x<2 else 1)\n", "df['c2*c3']=df.c2_val*df.c3_val\n", "df[\"for_c\"]=df[\"id_g2\"].apply(lambda x:1)\n", "df[\"es_in_common\"]=df[\"id_g1\"].apply(lambda x:nb_of_g_w_es_com[x])\n", "normal=df[df.type == \"normal\"]\n", "gen_country=df[df.type == \"gen_country\"]\n", "gen_region=df[df.type == \"gen_region\"]\n", "extension_1=df[df.type == \"extension_1\"]" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "ExecuteTime": { "end_time": "2018-03-22T11:58:52.709983Z", "start_time": "2018-03-22T11:58:52.706291Z" } }, "outputs": [], "source": [ "colorized_subset=['c1_val', 'c2_val', 'c3_val',\n",
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" 'c4_val', 'c1*c2', 'c1+c2', 'c1*c2*c3', 'c1*c3', 'c1+c3', 'c2*c3']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Raw Performance" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Normal" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "ExecuteTime": { "end_time": "2018-03-22T11:58:56.460440Z", "start_time": "2018-03-22T11:58:56.295334Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " <style type=\"text/css\" >\n", " \n", " \n", " #T_66147f4c_2dc8_11e8_a974_4c327598678brow0_col4 {\n", " \n", " background-color: yellow;\n", " \n", " : ;\n", " \n", " }\n", " \n", " #T_66147f4c_2dc8_11e8_a974_4c327598678brow0_col11 {\n", " \n", " background-color: yellow;\n", " \n", " : ;\n", " \n", " }\n", " \n", " #T_66147f4c_2dc8_11e8_a974_4c327598678brow0_col14 {\n", " \n", " background-color: yellow;\n", " \n", " : ;\n", " \n", " }\n", " \n", " #T_66147f4c_2dc8_11e8_a974_4c327598678brow1_col7 {\n", " \n", " background-color: yellow;\n", " \n", " : ;\n", " \n", " }\n", " \n", " #T_66147f4c_2dc8_11e8_a974_4c327598678brow3_col4 {\n", " \n", " : ;\n", " \n",
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" <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow0_col3\"\n", " class=\"data row0 col3\" >\n", " 3\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow0_col4\"\n", " class=\"data row0 col4\" >\n", " 0.926667\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow0_col5\"\n", " class=\"data row0 col5\" >\n", " 0.746667\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow0_col6\"\n", " class=\"data row0 col6\" >\n", " 0.46\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow0_col7\"\n", " class=\"data row0 col7\" >\n", " 0.406667\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow0_col8\"\n", " class=\"data row0 col8\" >\n", " 4.92\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow0_col9\"\n", " class=\"data row0 col9\" >\n", " 4.1\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow0_col10\"\n", " class=\"data row0 col10\" >\n", " 0.72\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow0_col11\"\n", " class=\"data row0 col11\" >\n", " 0.953333\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow0_col12\"\n", " class=\"data row0 col12\" >\n", " 0.433333\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow0_col13\"\n", " class=\"data row0 col13\" >\n", " 0.453333\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow0_col14\"\n", " class=\"data row0 col14\" >\n", " 0.933333\n", " \n",
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" <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow3_col14\"\n", " class=\"data row3 col14\" >\n", " 0.446667\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow3_col15\"\n", " class=\"data row3 col15\" >\n", " 0.26\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow3_col16\"\n", " class=\"data row3 col16\" >\n", " 1\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow3_col17\"\n", " class=\"data row3 col17\" >\n", " 70.32\n", " \n", " \n", " </tr>\n", " \n", " <tr>\n", " \n", " \n", " <th id=\"T_66147f4c_2dc8_11e8_a974_4c327598678b\"\n", " class=\"row_heading level0 row4\" rowspan=1>\n", " 4\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow4_col0\"\n", " class=\"data row4 col0\" >\n", " HED\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow4_col1\"\n", " class=\"data row4 col1\" >\n", " 241.38\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow4_col2\"\n", " class=\"data row4 col2\" >\n", " 547.36\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow4_col3\"\n", " class=\"data row4 col3\" >\n", " 3\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow4_col4\"\n", " class=\"data row4 col4\" >\n", " 0.593333\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow4_col5\"\n", " class=\"data row4 col5\" >\n", " 0.446667\n", " \n", " \n", " \n",
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" \n", " </tr>\n", " \n", " <tr>\n", " \n", " \n", " <th id=\"T_66147f4c_2dc8_11e8_a974_4c327598678b\"\n", " class=\"row_heading level0 row5\" rowspan=1>\n", " 5\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow5_col0\"\n", " class=\"data row5 col0\" >\n", " JACCARD\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow5_col1\"\n", " class=\"data row5 col1\" >\n", " 241.38\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow5_col2\"\n", " class=\"data row5 col2\" >\n", " 290.133\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow5_col3\"\n", " class=\"data row5 col3\" >\n", " 3\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow5_col4\"\n", " class=\"data row5 col4\" >\n", " 0.466667\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow5_col5\"\n", " class=\"data row5 col5\" >\n", " 0.473333\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow5_col6\"\n", " class=\"data row5 col6\" >\n", " 0.266667\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow5_col7\"\n", " class=\"data row5 col7\" >\n", " 0.26\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow5_col8\"\n", " class=\"data row5 col8\" >\n", " 4.92\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow5_col9\"\n", " class=\"data row5 col9\" >\n", " 5.19333\n", " \n",
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" \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow6_col2\"\n", " class=\"data row6 col2\" >\n", " 280.633\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow6_col3\"\n", " class=\"data row6 col3\" >\n", " 3\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow6_col4\"\n", " class=\"data row6 col4\" >\n", " 0.906667\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow6_col5\"\n", " class=\"data row6 col5\" >\n", " 0.833333\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow6_col6\"\n", " class=\"data row6 col6\" >\n", " 0.48\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow6_col7\"\n", " class=\"data row6 col7\" >\n", " 0.42\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow6_col8\"\n", " class=\"data row6 col8\" >\n", " 4.92\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow6_col9\"\n", " class=\"data row6 col9\" >\n", " 4.89333\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow6_col10\"\n", " class=\"data row6 col10\" >\n", " 0.82\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow6_col11\"\n", " class=\"data row6 col11\" >\n", " 0.92\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow6_col12\"\n", " class=\"data row6 col12\" >\n", " 0.46\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow6_col13\"\n", " class=\"data row6 col13\" >\n",
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" 0.473333\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow6_col14\"\n", " class=\"data row6 col14\" >\n", " 0.913333\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow6_col15\"\n", " class=\"data row6 col15\" >\n", " 0.466667\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow6_col16\"\n", " class=\"data row6 col16\" >\n", " 1\n", " \n", " \n", " \n", " <td id=\"T_66147f4c_2dc8_11e8_a974_4c327598678brow6_col17\"\n", " class=\"data row6 col17\" >\n", " 70.32\n", " \n", " \n", " </tr>\n", " \n", " </tbody>\n", " </table>\n", " " ], "text/plain": [ "<pandas.formats.style.Styler at 0x10b982cf8>" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "score_per_mesure=normal.groupby([\"id_g1\",\"mesure\"], as_index=False).mean()\n", "score_normal=score_per_mesure.groupby([\"mesure\"],as_index=False).mean()\n", "def highlight_max(s):\n", " '''\n", " highlight the maximum in a Series yellow.\n", " '''\n", " is_max = s == s.max()\n", " return ['background-color: yellow' if v else '' for v in is_max]\n", "def highlight_min(s):\n", " '''\n", " highlight the maximum in a Series yellow.\n", " '''\n", " is_max = s == s.min()\n", " return ['background-color: red;color:white;' if v else '' for v in is_max]\n", "score_normal.style.apply(highlight_max,subset=colorized_subset).apply(highlight_min,subset=colorized_subset)" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "ExecuteTime": { "end_time": "2018-03-22T11:58:56.899872Z", "start_time": "2018-03-22T11:58:56.463716Z" } }, "outputs": [],
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"source": [ "score_normal[[\"c1_val\",\"c2_val\",\"c3_val\",\"c4_val\"]].plot.bar(x=score_normal[\"mesure\"].unique())\n", "plt.show()\n", "score_normal[[\"c1*c2\",\"c1+c2\",\"c1*c2*c3\",\"c1+c3\"]].plot.bar(x=score_normal[\"mesure\"].unique())\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Generalisation Pays" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "ExecuteTime": { "end_time": "2018-03-22T11:59:05.910189Z", "start_time": "2018-03-22T11:59:05.832446Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " <style type=\"text/css\" >\n", " \n", " \n", " #T_6bb99d4c_2dc8_11e8_9f5e_4c327598678brow2_col10 {\n", " \n", " : ;\n", " \n", " background-color: red;\n", " \n", " color: white;\n", " \n", " }\n", " \n", " #T_6bb99d4c_2dc8_11e8_9f5e_4c327598678brow4_col4 {\n", " \n", " : ;\n", " \n", " background-color: red;\n", " \n", " color: white;\n", " \n", " }\n", " \n", " #T_6bb99d4c_2dc8_11e8_9f5e_4c327598678brow4_col5 {\n", " \n", " : ;\n", " \n", " background-color: red;\n", " \n", " color: white;\n", " \n", " }\n", " \n", " #T_6bb99d4c_2dc8_11e8_9f5e_4c327598678brow4_col6 {\n", " \n", " : ;\n", " \n", " background-color: red;\n", " \n", " color: white;\n", " \n", " }\n",
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" \n", " <td id=\"T_6bb99d4c_2dc8_11e8_9f5e_4c327598678brow6_col14\"\n", " class=\"data row6 col14\" >\n", " 0.866667\n", " \n", " \n", " \n", " <td id=\"T_6bb99d4c_2dc8_11e8_9f5e_4c327598678brow6_col15\"\n", " class=\"data row6 col15\" >\n", " 0.513333\n", " \n", " \n", " \n", " <td id=\"T_6bb99d4c_2dc8_11e8_9f5e_4c327598678brow6_col16\"\n", " class=\"data row6 col16\" >\n", " 1\n", " \n", " \n", " \n", " <td id=\"T_6bb99d4c_2dc8_11e8_9f5e_4c327598678brow6_col17\"\n", " class=\"data row6 col17\" >\n", " 70.32\n", " \n", " \n", " </tr>\n", " \n", " </tbody>\n", " </table>\n", " " ], "text/plain": [ "<pandas.formats.style.Styler at 0x10dd8ceb8>" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "score_per_mesure=gen_country.groupby([\"id_g1\",\"mesure\"], as_index=False).mean()\n", "score_gen_country=score_per_mesure.groupby([\"mesure\"],as_index=False).mean()\n", "score_gen_country.style.apply(highlight_max,subset=colorized_subset).apply(highlight_min,subset=colorized_subset)" ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "ExecuteTime": { "end_time": "2018-03-22T11:59:10.969020Z", "start_time": "2018-03-22T11:59:10.461280Z" } }, "outputs": [], "source": [ "score_gen_country[[\"c1_val\",\"c2_val\",\"c3_val\",\"c4_val\"]].plot.bar(x=score_gen_country[\"mesure\"].unique())\n", "plt.show()\n", "score_gen_country[[\"c1*c2\",\"c1+c2\",\"c1*c2*c3\",\"c1+c3\"]].plot.bar(x=score_gen_country[\"mesure\"].unique())\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Generalisation region" ] }, {
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" \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow1_col16\"\n", " class=\"data row1 col16\" >\n", " 1\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow1_col17\"\n", " class=\"data row1 col17\" >\n", " 70.32\n", " \n", " \n", " </tr>\n", " \n", " <tr>\n", " \n", " \n", " <th id=\"T_71281a76_2dc8_11e8_9740_4c327598678b\"\n", " class=\"row_heading level0 row2\" rowspan=1>\n", " 2\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow2_col0\"\n", " class=\"data row2 col0\" >\n", " GREEDY\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow2_col1\"\n", " class=\"data row2 col1\" >\n", " 241.38\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow2_col2\"\n", " class=\"data row2 col2\" >\n", " 184.693\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow2_col3\"\n", " class=\"data row2 col3\" >\n", " 3\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow2_col4\"\n", " class=\"data row2 col4\" >\n", " 0.52\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow2_col5\"\n", " class=\"data row2 col5\" >\n", " 0.5\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow2_col6\"\n", " class=\"data row2 col6\" >\n", " 0.293333\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow2_col7\"\n", " class=\"data row2 col7\" >\n", " 0.24\n", " \n",
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" \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow2_col8\"\n", " class=\"data row2 col8\" >\n", " 4.92\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow2_col9\"\n", " class=\"data row2 col9\" >\n", " 3.57333\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow2_col10\"\n", " class=\"data row2 col10\" >\n", " 0.446667\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow2_col11\"\n", " class=\"data row2 col11\" >\n", " 0.573333\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow2_col12\"\n", " class=\"data row2 col12\" >\n", " 0.28\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow2_col13\"\n", " class=\"data row2 col13\" >\n", " 0.28\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow2_col14\"\n", " class=\"data row2 col14\" >\n", " 0.533333\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow2_col15\"\n", " class=\"data row2 col15\" >\n", " 0.293333\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow2_col16\"\n", " class=\"data row2 col16\" >\n", " 1\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow2_col17\"\n", " class=\"data row2 col17\" >\n", " 70.32\n", " \n", " \n", " </tr>\n", " \n", " <tr>\n", " \n", " \n", " <th id=\"T_71281a76_2dc8_11e8_9740_4c327598678b\"\n", " class=\"row_heading level0 row3\" rowspan=1>\n", " 3\n", " \n",
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" \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow3_col0\"\n", " class=\"data row3 col0\" >\n", " HED\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow3_col1\"\n", " class=\"data row3 col1\" >\n", " 241.38\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow3_col2\"\n", " class=\"data row3 col2\" >\n", " 597.18\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow3_col3\"\n", " class=\"data row3 col3\" >\n", " 3\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow3_col4\"\n", " class=\"data row3 col4\" >\n", " 0.54\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow3_col5\"\n", " class=\"data row3 col5\" >\n", " 0.406667\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow3_col6\"\n", " class=\"data row3 col6\" >\n", " 0.2\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow3_col7\"\n", " class=\"data row3 col7\" >\n", " 0.153333\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow3_col8\"\n", " class=\"data row3 col8\" >\n", " 4.92\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow3_col9\"\n", " class=\"data row3 col9\" >\n", " 1.68667\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow3_col10\"\n", " class=\"data row3 col10\" >\n", " 0.406667\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow3_col11\"\n", " class=\"data row3 col11\" >\n",
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" 0.54\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow3_col12\"\n", " class=\"data row3 col12\" >\n", " 0.2\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow3_col13\"\n", " class=\"data row3 col13\" >\n", " 0.2\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow3_col14\"\n", " class=\"data row3 col14\" >\n", " 0.54\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow3_col15\"\n", " class=\"data row3 col15\" >\n", " 0.2\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow3_col16\"\n", " class=\"data row3 col16\" >\n", " 1\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow3_col17\"\n", " class=\"data row3 col17\" >\n", " 70.32\n", " \n", " \n", " </tr>\n", " \n", " <tr>\n", " \n", " \n", " <th id=\"T_71281a76_2dc8_11e8_9740_4c327598678b\"\n", " class=\"row_heading level0 row4\" rowspan=1>\n", " 4\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow4_col0\"\n", " class=\"data row4 col0\" >\n", " JACCARD\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow4_col1\"\n", " class=\"data row4 col1\" >\n", " 241.38\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow4_col2\"\n", " class=\"data row4 col2\" >\n", " 288.467\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow4_col3\"\n", " class=\"data row4 col3\" >\n",
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" 3\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow4_col4\"\n", " class=\"data row4 col4\" >\n", " 0.533333\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow4_col5\"\n", " class=\"data row4 col5\" >\n", " 0.526667\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow4_col6\"\n", " class=\"data row4 col6\" >\n", " 0.28\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow4_col7\"\n", " class=\"data row4 col7\" >\n", " 0.273333\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow4_col8\"\n", " class=\"data row4 col8\" >\n", " 4.92\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow4_col9\"\n", " class=\"data row4 col9\" >\n", " 5.18\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow4_col10\"\n", " class=\"data row4 col10\" >\n", " 0.513333\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow4_col11\"\n", " class=\"data row4 col11\" >\n", " 0.546667\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow4_col12\"\n", " class=\"data row4 col12\" >\n", " 0.28\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow4_col13\"\n", " class=\"data row4 col13\" >\n", " 0.28\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow4_col14\"\n", " class=\"data row4 col14\" >\n", " 0.533333\n", " \n", " \n", " \n",
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" <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow4_col15\"\n", " class=\"data row4 col15\" >\n", " 0.28\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow4_col16\"\n", " class=\"data row4 col16\" >\n", " 1\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow4_col17\"\n", " class=\"data row4 col17\" >\n", " 70.32\n", " \n", " \n", " </tr>\n", " \n", " <tr>\n", " \n", " \n", " <th id=\"T_71281a76_2dc8_11e8_9740_4c327598678b\"\n", " class=\"row_heading level0 row5\" rowspan=1>\n", " 5\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow5_col0\"\n", " class=\"data row5 col0\" >\n", " MCS\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow5_col1\"\n", " class=\"data row5 col1\" >\n", " 241.38\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow5_col2\"\n", " class=\"data row5 col2\" >\n", " 266.933\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow5_col3\"\n", " class=\"data row5 col3\" >\n", " 3\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow5_col4\"\n", " class=\"data row5 col4\" >\n", " 0.92\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow5_col5\"\n", " class=\"data row5 col5\" >\n", " 0.873333\n", " \n", " \n", " \n", " <td id=\"T_71281a76_2dc8_11e8_9740_4c327598678brow5_col6\"\n", " class=\"data row5 col6\" >\n", " 0.52\n", " \n", " \n", " \n",
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"start_time": "2018-03-22T11:59:19.440447Z" }, "format": "row" }, "outputs": [], "source": [ "score_gen_region[[\"c1_val\",\"c2_val\",\"c3_val\",\"c4_val\"]].plot.bar(x=score_gen_region[\"mesure\"].unique())\n", "plt.show()\n", "score_gen_region[[\"c1*c2\",\"c1+c2\",\"c1*c2*c3\",\"c1+c3\"]].plot.bar(x=score_gen_region[\"mesure\"].unique())\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Extension 1" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "ExecuteTime": { "end_time": "2018-03-22T11:59:24.645950Z", "start_time": "2018-03-22T11:59:24.580171Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " <style type=\"text/css\" >\n", " \n", " \n", " #T_76e49e58_2dc8_11e8_a35f_4c327598678brow1_col4 {\n", " \n", " background-color: yellow;\n", " \n", " : ;\n", " \n", " }\n", " \n", " #T_76e49e58_2dc8_11e8_a35f_4c327598678brow1_col11 {\n", " \n", " background-color: yellow;\n", " \n", " : ;\n", " \n", " }\n", " \n", " #T_76e49e58_2dc8_11e8_a35f_4c327598678brow1_col14 {\n", " \n", " background-color: yellow;\n", " \n", " : ;\n", " \n", " }\n", " \n", " #T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col4 {\n", " \n", " : ;\n", " \n", " background-color: red;\n", " \n", " color: white;\n", " \n", " }\n", " \n",
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4551455245534554455545564557455845594560456145624563456445654566456745684569457045714572457345744575457645774578457945804581458245834584458545864587458845894590459145924593459445954596459745984599460046014602460346044605460646074608460946104611461246134614461546164617461846194620
" \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow1_col4\"\n", " class=\"data row1 col4\" >\n", " 0.926667\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow1_col5\"\n", " class=\"data row1 col5\" >\n", " 0.78\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow1_col6\"\n", " class=\"data row1 col6\" >\n", " 0.46\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow1_col7\"\n", " class=\"data row1 col7\" >\n", " 0.44\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow1_col8\"\n", " class=\"data row1 col8\" >\n", " 4.92\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow1_col9\"\n", " class=\"data row1 col9\" >\n", " 4.06667\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow1_col10\"\n", " class=\"data row1 col10\" >\n", " 0.753333\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow1_col11\"\n", " class=\"data row1 col11\" >\n", " 0.953333\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow1_col12\"\n", " class=\"data row1 col12\" >\n", " 0.42\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow1_col13\"\n", " class=\"data row1 col13\" >\n", " 0.453333\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow1_col14\"\n", " class=\"data row1 col14\" >\n", " 0.933333\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow1_col15\"\n", " class=\"data row1 col15\" >\n",
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" 0.426667\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow1_col16\"\n", " class=\"data row1 col16\" >\n", " 1\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow1_col17\"\n", " class=\"data row1 col17\" >\n", " 70.32\n", " \n", " \n", " </tr>\n", " \n", " <tr>\n", " \n", " \n", " <th id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678b\"\n", " class=\"row_heading level0 row2\" rowspan=1>\n", " 2\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col0\"\n", " class=\"data row2 col0\" >\n", " JACCARD\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col1\"\n", " class=\"data row2 col1\" >\n", " 241.38\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col2\"\n", " class=\"data row2 col2\" >\n", " 288.74\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col3\"\n", " class=\"data row2 col3\" >\n", " 3\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col4\"\n", " class=\"data row2 col4\" >\n", " 0.473333\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col5\"\n", " class=\"data row2 col5\" >\n", " 0.48\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col6\"\n", " class=\"data row2 col6\" >\n", " 0.26\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col7\"\n", " class=\"data row2 col7\" >\n",
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" 0.246667\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col8\"\n", " class=\"data row2 col8\" >\n", " 4.92\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col9\"\n", " class=\"data row2 col9\" >\n", " 4.98667\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col10\"\n", " class=\"data row2 col10\" >\n", " 0.466667\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col11\"\n", " class=\"data row2 col11\" >\n", " 0.486667\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col12\"\n", " class=\"data row2 col12\" >\n", " 0.26\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col13\"\n", " class=\"data row2 col13\" >\n", " 0.26\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col14\"\n", " class=\"data row2 col14\" >\n", " 0.473333\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col15\"\n", " class=\"data row2 col15\" >\n", " 0.26\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col16\"\n", " class=\"data row2 col16\" >\n", " 1\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow2_col17\"\n", " class=\"data row2 col17\" >\n", " 70.32\n", " \n", " \n", " </tr>\n", " \n", " <tr>\n", " \n", " \n", " <th id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678b\"\n", " class=\"row_heading level0 row3\" rowspan=1>\n",
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" 3\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow3_col0\"\n", " class=\"data row3 col0\" >\n", " MCS\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow3_col1\"\n", " class=\"data row3 col1\" >\n", " 241.38\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow3_col2\"\n", " class=\"data row3 col2\" >\n", " 270.1\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow3_col3\"\n", " class=\"data row3 col3\" >\n", " 3\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow3_col4\"\n", " class=\"data row3 col4\" >\n", " 0.926667\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow3_col5\"\n", " class=\"data row3 col5\" >\n", " 0.833333\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow3_col6\"\n", " class=\"data row3 col6\" >\n", " 0.493333\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow3_col7\"\n", " class=\"data row3 col7\" >\n", " 0.44\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow3_col8\"\n", " class=\"data row3 col8\" >\n", " 4.92\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow3_col9\"\n", " class=\"data row3 col9\" >\n", " 4.76\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow3_col10\"\n", " class=\"data row3 col10\" >\n", " 0.813333\n", " \n", " \n", " \n",
4831483248334834483548364837483848394840484148424843484448454846484748484849485048514852485348544855485648574858485948604861486248634864486548664867486848694870487148724873487448754876487748784879488048814882488348844885488648874888488948904891489248934894489548964897489848994900
" <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow3_col11\"\n", " class=\"data row3 col11\" >\n", " 0.946667\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow3_col12\"\n", " class=\"data row3 col12\" >\n", " 0.453333\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow3_col13\"\n", " class=\"data row3 col13\" >\n", " 0.486667\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow3_col14\"\n", " class=\"data row3 col14\" >\n", " 0.933333\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow3_col15\"\n", " class=\"data row3 col15\" >\n", " 0.46\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow3_col16\"\n", " class=\"data row3 col16\" >\n", " 1\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow3_col17\"\n", " class=\"data row3 col17\" >\n", " 70.32\n", " \n", " \n", " </tr>\n", " \n", " <tr>\n", " \n", " \n", " <th id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678b\"\n", " class=\"row_heading level0 row4\" rowspan=1>\n", " 4\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow4_col0\"\n", " class=\"data row4 col0\" >\n", " VEO\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow4_col1\"\n", " class=\"data row4 col1\" >\n", " 241.38\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow4_col2\"\n", " class=\"data row4 col2\" >\n", " 255.64\n", " \n", " \n", " \n",
4901490249034904490549064907490849094910491149124913491449154916491749184919492049214922492349244925492649274928492949304931493249334934493549364937493849394940494149424943494449454946494749484949495049514952495349544955495649574958495949604961496249634964496549664967496849694970
" <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow4_col3\"\n", " class=\"data row4 col3\" >\n", " 3\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow4_col4\"\n", " class=\"data row4 col4\" >\n", " 0.92\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow4_col5\"\n", " class=\"data row4 col5\" >\n", " 0.82\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow4_col6\"\n", " class=\"data row4 col6\" >\n", " 0.486667\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow4_col7\"\n", " class=\"data row4 col7\" >\n", " 0.453333\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow4_col8\"\n", " class=\"data row4 col8\" >\n", " 4.92\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow4_col9\"\n", " class=\"data row4 col9\" >\n", " 4.53333\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow4_col10\"\n", " class=\"data row4 col10\" >\n", " 0.8\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow4_col11\"\n", " class=\"data row4 col11\" >\n", " 0.94\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow4_col12\"\n", " class=\"data row4 col12\" >\n", " 0.446667\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow4_col13\"\n", " class=\"data row4 col13\" >\n", " 0.48\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow4_col14\"\n", " class=\"data row4 col14\" >\n", " 0.926667\n", " \n",
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" \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow4_col15\"\n", " class=\"data row4 col15\" >\n", " 0.453333\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow4_col16\"\n", " class=\"data row4 col16\" >\n", " 1\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow4_col17\"\n", " class=\"data row4 col17\" >\n", " 70.32\n", " \n", " \n", " </tr>\n", " \n", " <tr>\n", " \n", " \n", " <th id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678b\"\n", " class=\"row_heading level0 row5\" rowspan=1>\n", " 5\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow5_col0\"\n", " class=\"data row5 col0\" >\n", " WLSUBTREE\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow5_col1\"\n", " class=\"data row5 col1\" >\n", " 241.38\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow5_col2\"\n", " class=\"data row5 col2\" >\n", " 270.6\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow5_col3\"\n", " class=\"data row5 col3\" >\n", " 3\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow5_col4\"\n", " class=\"data row5 col4\" >\n", " 0.786667\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow5_col5\"\n", " class=\"data row5 col5\" >\n", " 0.706667\n", " \n", " \n", " \n", " <td id=\"T_76e49e58_2dc8_11e8_a35f_4c327598678brow5_col6\"\n", " class=\"data row5 col6\" >\n", " 0.413333\n", " \n",
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" </table>\n", " " ], "text/plain": [ "<pandas.formats.style.Styler at 0x10e84c630>" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "score_per_mesure=extension_1.groupby([\"id_g1\",\"mesure\"], as_index=False).mean()\n", "score_ext_1=score_per_mesure.groupby([\"mesure\"],as_index=False).mean()\n", "score_ext_1.style.apply(highlight_max,subset=colorized_subset).apply(highlight_min,subset=colorized_subset)" ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "ExecuteTime": { "end_time": "2018-03-22T11:59:29.624155Z", "start_time": "2018-03-22T11:59:29.189251Z" } }, "outputs": [], "source": [ "score_ext_1[[\"c1_val\",\"c2_val\",\"c3_val\",\"c4_val\"]].plot.bar(x=score_ext_1[\"mesure\"].unique())\n", "plt.show()\n", "score_ext_1[[\"c1*c2\",\"c1+c2\",\"c1*c2*c3\",\"c1+c3\"]].plot.bar(x=score_ext_1[\"mesure\"].unique())\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Impact of the graph size over criteria" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "ExecuteTime": { "end_time": "2018-03-22T11:59:34.098799Z", "start_time": "2018-03-22T11:59:34.094114Z" } }, "outputs": [], "source": [ "df=df[df[\"id_g2\"] != 999]\n" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "ExecuteTime": { "end_time": "2018-03-22T11:59:40.773952Z", "start_time": "2018-03-22T11:59:40.770620Z" } }, "outputs": [], "source": [ "x_label=\"g1_size\"" ] },
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{ "cell_type": "markdown", "metadata": {}, "source": [ "## Score Gradient over size" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Selon la taille sans prendre en compte mesure\n", "#### Normal" ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "ExecuteTime": { "end_time": "2018-03-22T11:59:45.289041Z", "start_time": "2018-03-22T11:59:45.198099Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " <style type=\"text/css\" >\n", " \n", " \n", " #T_832f0c86_2dc8_11e8_8186_4c327598678brow0_col4 {\n", " \n", " background-color: #fff7fb;\n", " \n", " }\n", " \n", " #T_832f0c86_2dc8_11e8_8186_4c327598678brow0_col5 {\n", " \n", " background-color: #c2cbe2;\n", " \n", " }\n", " \n", " #T_832f0c86_2dc8_11e8_8186_4c327598678brow0_col6 {\n", " \n", " background-color: #2c89bd;\n", " \n", " }\n", " \n", " #T_832f0c86_2dc8_11e8_8186_4c327598678brow0_col7 {\n", " \n", " background-color: #04649e;\n", " \n", " }\n", " \n", " #T_832f0c86_2dc8_11e8_8186_4c327598678brow0_col9 {\n", " \n", " background-color: #d4d4e8;\n", " \n", " }\n", " \n", " #T_832f0c86_2dc8_11e8_8186_4c327598678brow0_col10 {\n", " \n", " background-color: #fff7fb;\n", " \n", " }\n", " \n", " #T_832f0c86_2dc8_11e8_8186_4c327598678brow0_col11 {\n", " \n",
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" class=\"data row0 col9\" >\n", " 0.484848\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow0_col10\"\n", " class=\"data row0 col10\" >\n", " 0.525253\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow0_col11\"\n", " class=\"data row0 col11\" >\n", " 0.479798\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow0_col12\"\n", " class=\"data row0 col12\" >\n", " 0.479798\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow0_col13\"\n", " class=\"data row0 col13\" >\n", " 0.505051\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow0_col14\"\n", " class=\"data row0 col14\" >\n", " 0.494949\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow0_col15\"\n", " class=\"data row0 col15\" >\n", " 1\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow0_col16\"\n", " class=\"data row0 col16\" >\n", " 28.601\n", " \n", " \n", " </tr>\n", " \n", " <tr>\n", " \n", " \n", " <th id=\"T_832f0c86_2dc8_11e8_8186_4c327598678b\"\n", " class=\"row_heading level0 row1\" rowspan=1>\n", " 1\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow1_col0\"\n", " class=\"data row1 col0\" >\n", " 2\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow1_col1\"\n", " class=\"data row1 col1\" >\n", " 319.211\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow1_col2\"\n",
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" class=\"data row1 col2\" >\n", " 373.78\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow1_col3\"\n", " class=\"data row1 col3\" >\n", " 3\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow1_col4\"\n", " class=\"data row1 col4\" >\n", " 0.578475\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow1_col5\"\n", " class=\"data row1 col5\" >\n", " 0.452915\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow1_col6\"\n", " class=\"data row1 col6\" >\n", " 0.286996\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow1_col7\"\n", " class=\"data row1 col7\" >\n", " 0.224215\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow1_col8\"\n", " class=\"data row1 col8\" >\n", " 2.68161\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow1_col9\"\n", " class=\"data row1 col9\" >\n", " 0.44843\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow1_col10\"\n", " class=\"data row1 col10\" >\n", " 0.58296\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow1_col11\"\n", " class=\"data row1 col11\" >\n", " 0.246637\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow1_col12\"\n", " class=\"data row1 col12\" >\n", " 0.286996\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow1_col13\"\n", " class=\"data row1 col13\" >\n", " 0.578475\n", " \n", " \n",
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" \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow1_col14\"\n", " class=\"data row1 col14\" >\n", " 0.246637\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow1_col15\"\n", " class=\"data row1 col15\" >\n", " 1\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow1_col16\"\n", " class=\"data row1 col16\" >\n", " 25.3004\n", " \n", " \n", " </tr>\n", " \n", " <tr>\n", " \n", " \n", " <th id=\"T_832f0c86_2dc8_11e8_8186_4c327598678b\"\n", " class=\"row_heading level0 row2\" rowspan=1>\n", " 2\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow2_col0\"\n", " class=\"data row2 col0\" >\n", " 3\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow2_col1\"\n", " class=\"data row2 col1\" >\n", " 63.3443\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow2_col2\"\n", " class=\"data row2 col2\" >\n", " 326.77\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow2_col3\"\n", " class=\"data row2 col3\" >\n", " 3\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow2_col4\"\n", " class=\"data row2 col4\" >\n", " 0.606557\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow2_col5\"\n", " class=\"data row2 col5\" >\n", " 0.344262\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow2_col6\"\n", " class=\"data row2 col6\" >\n", " 0.0983607\n", " \n", " \n",
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" \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow2_col7\"\n", " class=\"data row2 col7\" >\n", " 0.0983607\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow2_col8\"\n", " class=\"data row2 col8\" >\n", " 2.32787\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow2_col9\"\n", " class=\"data row2 col9\" >\n", " 0.344262\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow2_col10\"\n", " class=\"data row2 col10\" >\n", " 0.606557\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow2_col11\"\n", " class=\"data row2 col11\" >\n", " 0.0983607\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow2_col12\"\n", " class=\"data row2 col12\" >\n", " 0.0983607\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow2_col13\"\n", " class=\"data row2 col13\" >\n", " 0.606557\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow2_col14\"\n", " class=\"data row2 col14\" >\n", " 0.0983607\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow2_col15\"\n", " class=\"data row2 col15\" >\n", " 1\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow2_col16\"\n", " class=\"data row2 col16\" >\n", " 35.2295\n", " \n", " \n", " </tr>\n", " \n", " <tr>\n", " \n", " \n", " <th id=\"T_832f0c86_2dc8_11e8_8186_4c327598678b\"\n", " class=\"row_heading level0 row3\" rowspan=1>\n", " 3\n", " \n", " \n",
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" \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow3_col0\"\n", " class=\"data row3 col0\" >\n", " 4\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow3_col1\"\n", " class=\"data row3 col1\" >\n", " 190.915\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow3_col2\"\n", " class=\"data row3 col2\" >\n", " 329.102\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow3_col3\"\n", " class=\"data row3 col3\" >\n", " 3\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow3_col4\"\n", " class=\"data row3 col4\" >\n", " 0.728814\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow3_col5\"\n", " class=\"data row3 col5\" >\n", " 0.661017\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow3_col6\"\n", " class=\"data row3 col6\" >\n", " 0.288136\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow3_col7\"\n", " class=\"data row3 col7\" >\n", " 0.254237\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow3_col8\"\n", " class=\"data row3 col8\" >\n", " 3.38983\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow3_col9\"\n", " class=\"data row3 col9\" >\n", " 0.610169\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow3_col10\"\n", " class=\"data row3 col10\" >\n", " 0.779661\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow3_col11\"\n", " class=\"data row3 col11\" >\n", " 0.288136\n",
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" \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow3_col12\"\n", " class=\"data row3 col12\" >\n", " 0.288136\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow3_col13\"\n", " class=\"data row3 col13\" >\n", " 0.728814\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow3_col14\"\n", " class=\"data row3 col14\" >\n", " 0.288136\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow3_col15\"\n", " class=\"data row3 col15\" >\n", " 1\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow3_col16\"\n", " class=\"data row3 col16\" >\n", " 83.2881\n", " \n", " \n", " </tr>\n", " \n", " <tr>\n", " \n", " \n", " <th id=\"T_832f0c86_2dc8_11e8_8186_4c327598678b\"\n", " class=\"row_heading level0 row4\" rowspan=1>\n", " 4\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow4_col0\"\n", " class=\"data row4 col0\" >\n", " 5\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow4_col1\"\n", " class=\"data row4 col1\" >\n", " 240.968\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow4_col2\"\n", " class=\"data row4 col2\" >\n", " 260.387\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow4_col3\"\n", " class=\"data row4 col3\" >\n", " 3\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow4_col4\"\n", " class=\"data row4 col4\" >\n", " 0.822581\n",
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" \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow8_col0\"\n", " class=\"data row8 col0\" >\n", " 9\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow8_col1\"\n", " class=\"data row8 col1\" >\n", " 237.25\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow8_col2\"\n", " class=\"data row8 col2\" >\n", " 208.095\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow8_col3\"\n", " class=\"data row8 col3\" >\n", " 3\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow8_col4\"\n", " class=\"data row8 col4\" >\n", " 0.904762\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow8_col5\"\n", " class=\"data row8 col5\" >\n", " 0.702381\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow8_col6\"\n", " class=\"data row8 col6\" >\n", " 0.27381\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow8_col7\"\n", " class=\"data row8 col7\" >\n", " 0.261905\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow8_col8\"\n", " class=\"data row8 col8\" >\n", " 5.54762\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow8_col9\"\n", " class=\"data row8 col9\" >\n", " 0.690476\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow8_col10\"\n", " class=\"data row8 col10\" >\n", " 0.916667\n", " \n", " \n", " \n", " <td id=\"T_832f0c86_2dc8_11e8_8186_4c327598678brow8_col11\"\n", " class=\"data row8 col11\" >\n", " 0.27381\n",
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"execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "score_normal_size=normal.groupby([x_label],as_index=False).mean()\n", "score_normal_size.style.background_gradient(subset=colorized_subset,low=0,high=0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Extension 1" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "ExecuteTime": { "end_time": "2018-03-22T11:59:49.867527Z", "start_time": "2018-03-22T11:59:49.778871Z" } }, "outputs": [ { "data": { "text/html": [ "\n", " <style type=\"text/css\" >\n", " \n", " \n", " #T_85e9e002_2dc8_11e8_b541_4c327598678brow0_col4 {\n", " \n", " background-color: #fff7fb;\n", " \n", " }\n", " \n", " #T_85e9e002_2dc8_11e8_b541_4c327598678brow0_col5 {\n", " \n", " background-color: #e2dfee;\n", " \n", " }\n", " \n", " #T_85e9e002_2dc8_11e8_b541_4c327598678brow0_col6 {\n", " \n", " background-color: #2685bb;\n", " \n", " }\n", " \n", " #T_85e9e002_2dc8_11e8_b541_4c327598678brow0_col7 {\n", " \n", " background-color: #023858;\n", " \n", " }\n", " \n", " #T_85e9e002_2dc8_11e8_b541_4c327598678brow0_col9 {\n", " \n", " background-color: #e9e5f1;\n", " \n", " }\n", " \n", " #T_85e9e002_2dc8_11e8_b541_4c327598678brow0_col10 {\n", " \n", " background-color: #fff7fb;\n", " \n", " }\n", " \n",
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