{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This file is deprecated. Newer versions use categorization by topic and area. Use:\n",
    " - `ep-loader`\n",
    " - then `ep-topic-nested`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:56:32.521682Z",
     "start_time": "2019-03-07T02:56:26.288106Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd, numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:56:32.539683Z",
     "start_time": "2019-03-07T02:56:32.526680Z"
    }
   },
   "outputs": [],
   "source": [
    "import lzma,json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:11:53.373625Z",
     "start_time": "2019-03-07T02:11:28.450933Z"
    }
   },
   "outputs": [],
   "source": [
    "f=lzma.open(\"ep/ep_meps_current.json.xz\")\n",
    "#http://parltrack.euwiki.org/dumps/ep_meps_current.json.xz\n",
    "members=json.loads(f.read())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:56:44.959191Z",
     "start_time": "2019-03-07T02:56:32.545234Z"
    }
   },
   "outputs": [],
   "source": [
    "f=lzma.open(\"ep/ep_votes.json.xz\")\n",
    "#http://parltrack.euwiki.org/dumps/ep_votes.json.xz\n",
    "votes=json.loads(f.read())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:22:13.507730Z",
     "start_time": "2019-03-07T02:22:13.501725Z"
    }
   },
   "outputs": [],
   "source": [
    "hu_countries={'Hungary':'Magyarország','Romania':'Románia'}\n",
    "def hu_country(c):\n",
    "    if c in hu_countries: return hu_countries[c]\n",
    "    else: return c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:22:14.455850Z",
     "start_time": "2019-03-07T02:22:14.426315Z"
    }
   },
   "outputs": [],
   "source": [
    "countries=['Hungary','Romania']\n",
    "eu={}\n",
    "parties={}\n",
    "groups={}\n",
    "names={}\n",
    "for j in members:\n",
    "    z='Constituencies'\n",
    "    w='Groups'    \n",
    "    if z in j:\n",
    "        if j[z][0]['country'] in countries:\n",
    "            if j[z][0]['country'] not in eu:eu[j[z][0]['country']]={}\n",
    "            eu[j[z][0]['country']][j['UserID']]=j\n",
    "            names[j['Name']['full']]=j\n",
    "            for i in j[z]:\n",
    "                if type(i['party'])==str:\n",
    "                    party=i['party']\n",
    "                else:\n",
    "                    party=i['party'][0]\n",
    "                party=str(party)\n",
    "                start=int(str(i['start'])[:4])\n",
    "                end=int(str(i['end'])[:4])\n",
    "                if end==9999:\n",
    "                    end=2019\n",
    "                if party not in parties:\n",
    "                    parties[party]={'min':9999,'max':0}\n",
    "                parties[party]['min']=min(start,parties[party]['min'])\n",
    "                parties[party]['max']=max(end,parties[party]['max'])\n",
    "            if w in j:\n",
    "                for i in j[w]:\n",
    "                    party=i['Organization']\n",
    "                    party=str(party)\n",
    "                    if type(i['groupid'])==str:\n",
    "                        code=i['groupid']\n",
    "                    else:\n",
    "                        code=i['groupid'][0]\n",
    "                    start=int(str(i['start'])[:4])\n",
    "                    end=int(str(i['end'])[:4])\n",
    "                    if end==9999:\n",
    "                        end=2019\n",
    "                    if party not in groups:\n",
    "                        groups[party]={'min':9999,'max':0}\n",
    "                    groups[party]['min']=min(start,groups[party]['min'])\n",
    "                    groups[party]['max']=max(end,groups[party]['max'])\n",
    "                    groups[party]['code']=code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:22:15.078768Z",
     "start_time": "2019-03-07T02:22:15.069761Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{\"Group of the European People's Party (Christian Democrats)\": {'min': 2009,\n",
       "  'max': 2019,\n",
       "  'code': 'PPE'},\n",
       " 'Non-attached Members': {'min': 2005, 'max': 2019, 'code': 'NA'},\n",
       " \"Group of the European People's Party (Christian Democrats) and European Democrats\": {'min': 2003,\n",
       "  'max': 2009,\n",
       "  'code': 'PPE-DE'},\n",
       " 'Group of the Alliance of Liberals and Democrats for Europe': {'min': 2004,\n",
       "  'max': 2019,\n",
       "  'code': 'ALDE'},\n",
       " 'European Conservatives and Reformists Group': {'min': 2009,\n",
       "  'max': 2019,\n",
       "  'code': 'ECR'},\n",
       " 'Group of the Progressive Alliance of Socialists and Democrats in the European Parliament': {'min': 2009,\n",
       "  'max': 2019,\n",
       "  'code': 'S&D'},\n",
       " 'Socialist Group in the European Parliament': {'min': 2004,\n",
       "  'max': 2009,\n",
       "  'code': 'PSE'},\n",
       " 'Group of the Party of European Socialists': {'min': 2003,\n",
       "  'max': 2004,\n",
       "  'code': 'PSE'},\n",
       " 'Identity, Tradition and Sovereignty Group': {'min': 2007,\n",
       "  'max': 2007,\n",
       "  'code': 'ITS'},\n",
       " 'Group of the European Liberal, Democrat and Reform Party': {'min': 2003,\n",
       "  'max': 2004,\n",
       "  'code': 'ELDR'},\n",
       " 'Group of the Greens/European Free Alliance': {'min': 2008,\n",
       "  'max': 2019,\n",
       "  'code': 'Verts/ALE'},\n",
       " 'Europe of Nations and Freedom Group': {'min': 2015,\n",
       "  'max': 2018,\n",
       "  'code': 'ENF'}}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:22:15.658534Z",
     "start_time": "2019-03-07T02:22:15.649529Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Fidesz-Magyar Polgári Szövetség-Keresztény Demokrata Néppárt': {'min': 2009,\n",
       "  'max': 2014},\n",
       " 'Partidul Democrat-Liberal': {'min': 2008, 'max': 2015},\n",
       " 'Partidul România Mare': {'min': 2007, 'max': 2014},\n",
       " 'Partidul Democrat': {'min': 2007, 'max': 2008},\n",
       " 'Fidesz-Magyar Polgári Szövetség': {'min': 2004, 'max': 2009},\n",
       " 'Partidul Naţional Liberal': {'min': 2007, 'max': 2019},\n",
       " 'Partidul Naţional Ţaranesc Creştin Democrat': {'min': 2014, 'max': 2014},\n",
       " 'Modern Magyarország Mozgalom': {'min': 2013, 'max': 2014},\n",
       " 'Magyar Demokrata Fórum': {'min': 2004, 'max': 2013},\n",
       " 'Magyar Szocialista Párt': {'min': 2004, 'max': 2019},\n",
       " 'Szabad Demokraták Szövetsége': {'min': 2004, 'max': 2009},\n",
       " 'Partidul Social Democrat': {'min': 2007, 'max': 2019},\n",
       " 'Jobbik Magyarországért Mozgalom': {'min': 2009, 'max': 2019},\n",
       " 'Partidul Liberal Democrat': {'min': 2007, 'max': 2008},\n",
       " 'Uniunea Democrată Maghiară din România': {'min': 2007, 'max': 2019},\n",
       " 'Partidul Conservator': {'min': 2007, 'max': 2015},\n",
       " '-': {'min': 2007, 'max': 2019},\n",
       " 'Partidul Social Democrat + Partidul Conservator': {'min': 2009, 'max': 2014},\n",
       " 'Forumul Democrat al Germanitor din România': {'min': 2007, 'max': 2007},\n",
       " 'ALDE Romania': {'min': 2017, 'max': 2019},\n",
       " 'Independent': {'min': 2007, 'max': 2019},\n",
       " 'Fidesz-Magyar Polgári Szövetség-Kereszténydemokrata Néppárt': {'min': 2014,\n",
       "  'max': 2019},\n",
       " 'Partidul Mișcarea Populară': {'min': 2014, 'max': 2018},\n",
       " 'Uniunea Națională pentru Progresul României': {'min': 2014, 'max': 2016},\n",
       " 'Lehet Más A Politika': {'min': 2014, 'max': 2019},\n",
       " 'Együtt 2014 - Párbeszéd Magyarországért': {'min': 2014, 'max': 2019},\n",
       " 'Demokratikus Koalíció': {'min': 2014, 'max': 2019},\n",
       " 'Partidul Puterii Umaniste': {'min': 2015, 'max': 2019},\n",
       " 'Romániai Magyar Demokrata Szövetség': {'min': 2008, 'max': 2009},\n",
       " 'Kereszténydemokrata Néppárt': {'min': 2014, 'max': 2019}}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:22:17.841191Z",
     "start_time": "2019-03-07T02:22:16.505772Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2084"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "open('ep/export/json/names.json','w').write(json.dumps(names))\n",
    "open('ep/export/json/groups.json','w').write(json.dumps(groups))\n",
    "open('ep/export/json/parties.json','w').write(json.dumps(parties))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:31:09.452023Z",
     "start_time": "2019-03-07T02:31:09.442019Z"
    }
   },
   "outputs": [],
   "source": [
    "def party_normalizer(party):\n",
    "    if party in ['ALDE','ELDR']: return 'ALDE'\n",
    "    elif party in ['ITS','ENF']: return 'ENF'\n",
    "    elif party in ['NA','NI',['NA', 'NI'],'-','Independent']: return 'N/A'\n",
    "    elif party in ['PPE','PPE-DE']: return  'EPP'\n",
    "    elif party in ['Verts/ALE']: return  'Greens'\n",
    "    elif party in ['S&D','PSE']: return 'S&D'\n",
    "    elif party in ['ALDE Romania','Partidul Conservator','Partidul Puterii Umaniste']: return 'ALDE RO'\n",
    "    elif party in ['Demokratikus Koalíció']: return 'DK'\n",
    "    elif party in ['Együtt 2014 - Párbeszéd Magyarországért']:return 'Együtt PM'\n",
    "    elif party in ['Fidesz-Magyar Polgári Szövetség',\n",
    "        'Fidesz-Magyar Polgári Szövetség-Keresztény Demokrata Néppárt',\n",
    "        'Fidesz-Magyar Polgári Szövetség-Kereszténydemokrata Néppárt',\n",
    "        'Kereszténydemokrata Néppárt']:return 'FIDESZ-KDNP'\n",
    "    elif party in ['Forumul Democrat al Germanitor din România']: return 'FDGR'\n",
    "    elif party in ['Jobbik Magyarországért Mozgalom']:return 'Jobbik'\n",
    "    elif party in ['Lehet Más A Politika']:return 'LMP'\n",
    "    elif party in ['Magyar Demokrata Fórum','Modern Magyarország Mozgalom',\n",
    "                'Szabad Demokraták Szövetsége']: return 'Egyéb'\n",
    "    elif party in ['Magyar Szocialista Párt']: return 'MSZP'\n",
    "    elif party in ['Partidul Democrat','Partidul Democrat-Liberal','Partidul Naţional Liberal',\n",
    "        'Partidul Liberal Democrat','PNL']: return'PNL'\n",
    "    elif party in ['Partidul Mișcarea Populară']: return 'PMP'\n",
    "    elif party in ['Partidul Naţional Ţaranesc Creştin Democrat']:return 'PNȚCD'\n",
    "    elif party in ['Partidul România Mare']:return 'PRM'\n",
    "    elif party in ['PSD','Partidul Social Democrat','Partidul Social Democrat + Partidul Conservator']:return 'PSD'\n",
    "    elif party in ['Romániai Magyar Demokrata Szövetség',\n",
    "        'Uniunea Democrată Maghiară din România']:return 'RMDSZ'\n",
    "    elif party in ['Uniunea Națională pentru Progresul României']: return 'UNPR'\n",
    "    else: return party"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:31:10.004963Z",
     "start_time": "2019-03-07T02:31:09.993967Z"
    }
   },
   "outputs": [],
   "source": [
    "def party_normalizer2(party):\n",
    "    if party in ['ALDE','ELDR']: return 'ALDE ⏩'\n",
    "    elif party in ['ITS','ENF']: return 'ENF 🌐'\n",
    "    elif party in ['N/A','NA','NI',['NA', 'NI'],'-','Independent']: return 'N/A 👤'\n",
    "    elif party in ['EPP','PPE','PPE-DE']: return  'EPP ⭐️'\n",
    "    elif party in ['Greens','Verts/ALE']: return  'Greens 🌻'\n",
    "    elif party in ['S&D','PSE']: return 'S&D 🔴'\n",
    "    elif party in ['ECR']: return 'ECR 🦁'\n",
    "    elif party in ['ALDE RO','ALDE Romania','Partidul Conservator','Partidul Puterii Umaniste']: return 'ALDE RO 🕊️'\n",
    "    elif party in ['DK','Demokratikus Koalíció']: return 'DK 🔵'\n",
    "    elif party in ['Együtt PM','Együtt 2014 - Párbeszéd Magyarországért']:return 'Együtt PM ✳️'\n",
    "    elif party in ['Fidesz-Magyar Polgári Szövetség',\n",
    "        'Fidesz-Magyar Polgári Szövetség-Keresztény Demokrata Néppárt',\n",
    "        'Fidesz-Magyar Polgári Szövetség-Kereszténydemokrata Néppárt',\n",
    "        'Kereszténydemokrata Néppárt','FIDESZ-KDNP']:return 'FIDESZ-KDNP 🍊'\n",
    "    elif party in ['Forumul Democrat al Germanitor din România','FDGR']: return 'FDGR ⚫️'\n",
    "    elif party in ['Jobbik Magyarországért Mozgalom','Jobbik']:return 'Jobbik ✅'\n",
    "    elif party in ['Lehet Más A Politika','LMP']:return 'LMP 🏃‍♂️'\n",
    "    elif party in ['Magyar Demokrata Fórum','Modern Magyarország Mozgalom',\n",
    "                'Szabad Demokraták Szövetsége','Egyéb']: return 'Egyéb ⭕️'\n",
    "    elif party in ['Magyar Szocialista Párt','MSZP']: return 'MSZP 🌸'\n",
    "    elif party in ['Partidul Democrat','Partidul Democrat-Liberal','Partidul Naţional Liberal',\n",
    "        'Partidul Liberal Democrat','PNL']: return'PNL 🔶'\n",
    "    elif party in ['Partidul Mișcarea Populară','PMP']: return 'PMP 🍏'\n",
    "    elif party in ['Partidul Naţional Ţaranesc Creştin Democrat','PNȚCD']:return 'PNȚCD ✳️'\n",
    "    elif party in ['Partidul România Mare','PRM']:return 'PRM 🔱'\n",
    "    elif party in ['PSD','Partidul Social Democrat','Partidul Social Democrat + Partidul Conservator']:return 'PSD 🌹'\n",
    "    elif party in ['Romániai Magyar Demokrata Szövetség',\n",
    "        'Uniunea Democrată Maghiară din România','RMDSZ']:return 'RMDSZ 🌷'\n",
    "    elif party in ['Uniunea Națională pentru Progresul României','UNPR']: return 'UNPR 🦅'\n",
    "    else: return party"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:31:10.482177Z",
     "start_time": "2019-03-07T02:31:10.468178Z"
    }
   },
   "outputs": [],
   "source": [
    "party_image_links={\n",
    "\"ALDE\":\"alde.jpg\",\n",
    "\"ECR\":\"ecr.jpg\",\n",
    "\"ENF\":\"enf.jpg\",\n",
    "\"N/A\":\"independent.png\",\n",
    "\"EPP\":\"epp.jpg\",\n",
    "\"S&D\":\"S&D.png\",\n",
    "\"Greens\":\"greens.png\",\n",
    "\"ALDE RO\":\"aldero.jpg\",\n",
    "\"DK\":\"dk.png\",\n",
    "\"Egyéb\":\"hun.jpg\",\n",
    "\"Együtt PM\":\"egyutt.jpg\",\n",
    "\"FDGR\":\"fdgr.jpg\",\n",
    "\"FIDESZ-KDNP\":\"fidesz.png\",\n",
    "\"Jobbik\":\"jobbik.png\",\n",
    "\"LMP\":\"lmp.jpg\",\n",
    "\"MSZP\":\"mszp.png\",\n",
    "\"PMP\":\"pmp.png\",\n",
    "\"PNL\":\"pnl.png\",\n",
    "\"PNȚCD\":\"pntcd.png\",\n",
    "\"PRM\":\"prm.png\",\n",
    "\"PSD\":\"psd.png\",\n",
    "\"RMDSZ\":\"rmdsz.jpg\",\n",
    "\"UNPR\":\"unpr.jpg\"\n",
    "}\n",
    "master_image_path='https://szekelydata.csaladen.es/ep/ep/img/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:30:14.087703Z",
     "start_time": "2019-03-07T02:30:14.080708Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_photo(name,allegiance_type2):\n",
    "    if allegiance_type2=='name':\n",
    "        return names[name]['Photo']\n",
    "    else:\n",
    "        if name in party_image_links:\n",
    "            return master_image_path+party_image_links[name]\n",
    "        else:\n",
    "            return ''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:30:14.708066Z",
     "start_time": "2019-03-07T02:30:14.703072Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_photos(df,allegiance_type2):\n",
    "    photos=[]\n",
    "    for i in df['name2'].values:\n",
    "        photos.append(get_photo(i,allegiance_type2))\n",
    "    df['image']=photos\n",
    "    df=df[list(df.columns[:2])+list([df.columns[-1]])+list(df.columns[2:-1])]\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:12:27.117224Z",
     "start_time": "2019-03-07T02:12:27.093227Z"
    }
   },
   "outputs": [],
   "source": [
    "from colorthief import ColorThief"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:12:27.514227Z",
     "start_time": "2019-03-07T02:12:27.507228Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['bmh', 'classic', 'dark_background', 'fast', 'fivethirtyeight', 'ggplot', 'grayscale', 'seaborn-bright', 'seaborn-colorblind', 'seaborn-dark-palette', 'seaborn-dark', 'seaborn-darkgrid', 'seaborn-deep', 'seaborn-muted', 'seaborn-notebook', 'seaborn-paper', 'seaborn-pastel', 'seaborn-poster', 'seaborn-talk', 'seaborn-ticks', 'seaborn-white', 'seaborn-whitegrid', 'seaborn', 'Solarize_Light2', 'tableau-colorblind10', '_classic_test']\n"
     ]
    }
   ],
   "source": [
    "plt.style.use('fivethirtyeight')\n",
    "print(plt.style.available)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:12:27.940605Z",
     "start_time": "2019-03-07T02:12:27.933599Z"
    }
   },
   "outputs": [],
   "source": [
    "def party_color(party,default_color=\"#000000\"):\n",
    "    if party in party_image_links:\n",
    "        path='ep/img/'+party_image_links[party]\n",
    "        color_thief = ColorThief(path)\n",
    "        rgb_color=color_thief.get_color(quality=1)        \n",
    "        return '#%02x%02x%02x' % rgb_color\n",
    "    else:\n",
    "        return default_color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:13:13.806022Z",
     "start_time": "2019-03-07T02:12:28.742151Z"
    }
   },
   "outputs": [],
   "source": [
    "party_color_links={}\n",
    "for party in party_image_links:\n",
    "    party_color_links[party]=party_color(party)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:13:13.818564Z",
     "start_time": "2019-03-07T02:13:13.811021Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_link_color(party,default_color=\"#000000\"):\n",
    "    if party=='N/A': return '#444444'\n",
    "    elif party=='ENF': return '#777777'\n",
    "    elif party=='ALDE RO': return '#459ccc'\n",
    "    elif party=='FDGR': return '#961934'\n",
    "    elif party=='Jobbik': return '#3cb25a'\n",
    "    elif party in party_color_links:\n",
    "        return party_color_links[party]\n",
    "    else:\n",
    "        return default_color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:13:15.632560Z",
     "start_time": "2019-03-07T02:13:13.823563Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for e,i in enumerate(party_color_links):\n",
    "    plt.plot([0,1],[e,e],color=get_link_color(i),lw=3,label=i)\n",
    "    plt.legend(fontsize=8,loc=3,framealpha=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:30:51.832351Z",
     "start_time": "2019-03-07T02:30:51.823346Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ALDE: #3755a3\n",
      "ECR: #0454a4\n",
      "ENF: #777777\n",
      "N/A: #444444\n",
      "EPP: #051ecb\n",
      "S&D: #fc0404\n",
      "Greens: #04b404\n",
      "ALDE RO: #459ccc\n",
      "DK: #1464ac\n",
      "Egyéb: #04632c\n",
      "Együtt PM: #1f3b17\n",
      "FDGR: #961934\n",
      "FIDESZ-KDNP: #fb6b04\n",
      "Jobbik: #3cb25a\n",
      "LMP: #7dbb37\n",
      "MSZP: #b4c0af\n",
      "PMP: #0484cc\n",
      "PNL: #046cab\n",
      "PNȚCD: #04843c\n",
      "PRM: #0d5ca4\n",
      "PSD: #dc2c24\n",
      "RMDSZ: #1e3c21\n",
      "UNPR: #a8190f\n"
     ]
    }
   ],
   "source": [
    "for e,i in enumerate(party_color_links):\n",
    "    print(i+':',get_link_color(i))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:31:14.042742Z",
     "start_time": "2019-03-07T02:31:14.032742Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ALDE ⏩: #3755a3\n",
      "ECR 🦁: #0454a4\n",
      "ENF 🌐: #777777\n",
      "N/A 👤: #444444\n",
      "EPP ⭐️: #051ecb\n",
      "S&D 🔴: #fc0404\n",
      "Greens 🌻: #04b404\n",
      "ALDE RO 🕊️: #459ccc\n",
      "DK 🔵: #1464ac\n",
      "Egyéb ⭕️: #04632c\n",
      "Együtt PM ✳️: #1f3b17\n",
      "FDGR ⚫️: #961934\n",
      "FIDESZ-KDNP 🍊: #fb6b04\n",
      "Jobbik ✅: #3cb25a\n",
      "LMP 🏃‍♂️: #7dbb37\n",
      "MSZP 🌸: #b4c0af\n",
      "PMP 🍏: #0484cc\n",
      "PNL 🔶: #046cab\n",
      "PNȚCD ✳️: #04843c\n",
      "PRM 🔱: #0d5ca4\n",
      "PSD 🌹: #dc2c24\n",
      "RMDSZ 🌷: #1e3c21\n",
      "UNPR 🦅: #a8190f\n"
     ]
    }
   ],
   "source": [
    "for e,i in enumerate(party_color_links):\n",
    "    print(party_normalizer2(i)+':',get_link_color(i))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T02:23:11.963515Z",
     "start_time": "2019-03-07T02:23:11.932516Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "54454"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pnames=[]\n",
    "for name in names:\n",
    "    dummy={'name':name}\n",
    "    dummy['country']=names[name]['Constituencies'][0]['country']\n",
    "    dummy['hucountry']=hu_country(dummy['country'])\n",
    "    dummy['party']=party_normalizer(names[name]['Constituencies'][0]['party'])\n",
    "    dummy['group']=party_normalizer(names[name]['Groups'][0]['groupid'])\n",
    "    dummy['party2']=party_normalizer2(names[name]['Constituencies'][0]['party'])\n",
    "    dummy['group2']=party_normalizer2(names[name]['Groups'][0]['groupid'])\n",
    "    dummy['partycolor']=get_link_color(dummy['party'])\n",
    "    dummy['groupcolor']=get_link_color(dummy['group'])\n",
    "    dummy['image']=get_photo(name,'name')\n",
    "    dummy['last']=name.split(' ')[-1]\n",
    "    dummy['members']=1\n",
    "    pnames.append(dummy)\n",
    "open('ep/export/json/pnames.json','w').write(json.dumps(pnames))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T00:54:44.038833Z",
     "start_time": "2019-03-07T00:54:44.031835Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_allegiance(allegiance,voteid,outcome,name):\n",
    "    if voteid not in allegiance:\n",
    "        allegiance[voteid]={'title':j['title'],'url':j['url'],'ts':j['ts']}\n",
    "    if outcome not in allegiance[voteid]:\n",
    "        allegiance[voteid][outcome]=[]\n",
    "    allegiance[voteid][outcome].append(name)\n",
    "    return allegiance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T00:55:56.958249Z",
     "start_time": "2019-03-07T00:54:44.043841Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hungary\n",
      "Romania\n"
     ]
    }
   ],
   "source": [
    "eu_allegiance={}\n",
    "eu_vt={}\n",
    "eu_joint_allegiance={}\n",
    "eu_joint_vt={}\n",
    "for country in countries:\n",
    "    hu=eu[country]\n",
    "    hu_allegiance={}\n",
    "    hu_vt={}\n",
    "    for j in votes:\n",
    "        ts=j['ts']\n",
    "        year=str(ts)[:4]\n",
    "        if year not in hu_vt:hu_vt[year]=[]\n",
    "        if year not in hu_allegiance:hu_allegiance[year]={'name':{},'group':{},'party':{}}  \n",
    "        if year not in eu_joint_vt:eu_joint_vt[year]=[]\n",
    "        if year not in eu_joint_allegiance:eu_joint_allegiance[year]={'name':{},'group':{},'party':{}}    \n",
    "        if j['title'] not in [\"Modification de l'ordre du jour\"]:\n",
    "            for outcome in ['For','Against']:\n",
    "                if outcome in j:\n",
    "                    for group in j[outcome]['groups']:\n",
    "                        for i in group['votes']:\n",
    "                            if i['ep_id'] in hu:\n",
    "                                dummy={}\n",
    "                                dummy['vote']=j['voteid']\n",
    "                                dummy['party']='-'\n",
    "                                for k in hu[i['ep_id']]['Constituencies']:\n",
    "                                    if k['start']<ts<k['end']:\n",
    "                                        dummy['party']=k['party']\n",
    "                                dummy['name']=hu[i['ep_id']]['Name']['full']\n",
    "                                dummy['outcome']=outcome\n",
    "                                dummy['group']=group['group']\n",
    "                                dummy['party']=party_normalizer(dummy['party'])\n",
    "                                dummy['group']=party_normalizer(dummy['group'])\n",
    "                                dummy['title']=j['title']\n",
    "                                dummy['url']=j['url']\n",
    "                                dummy['ts']=ts\n",
    "                                dummy['year']=year\n",
    "                                hu_vt[year].append(dummy)\n",
    "                                eu_joint_vt[year].append(dummy)\n",
    "                                for allegiance_type in ['name','group','party']:\n",
    "                                    hu_allegiance[year][allegiance_type]=\\\n",
    "                                        get_allegiance(hu_allegiance[year][allegiance_type],j['voteid'],\n",
    "                                                   outcome,dummy[allegiance_type])\n",
    "                                    eu_joint_allegiance[year][allegiance_type]=\\\n",
    "                                        get_allegiance(eu_joint_allegiance[year][allegiance_type],j['voteid'],\n",
    "                                                   outcome,dummy[allegiance_type])\n",
    "    eu_allegiance[country]=hu_allegiance\n",
    "    eu_vt[country]=hu_vt\n",
    "    print(country)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "name_votes={}\n",
    "for country in countries:\n",
    "    for year in eu_vt[country]:\n",
    "        for vote in eu_vt[country][year]:\n",
    "            if vote['name'] not in name_votes:name_votes[vote['name']]={}\n",
    "            if year not in name_votes[vote['name']]:name_votes[vote['name']][year]=0\n",
    "            name_votes[vote['name']][year]+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "307866"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tnames=[]\n",
    "for name in name_votes:\n",
    "    for year in name_votes[name]:\n",
    "        dummy={'name':name}\n",
    "        dummy['country']=names[name]['Constituencies'][0]['country']\n",
    "        dummy['hucountry']=hu_country(dummy['country'])\n",
    "        dummy['party']=party_normalizer(names[name]['Constituencies'][0]['party'])\n",
    "        dummy['group']=party_normalizer(names[name]['Groups'][0]['groupid'])\n",
    "        dummy['party2']=party_normalizer2(names[name]['Constituencies'][0]['party'])\n",
    "        dummy['group2']=party_normalizer2(names[name]['Groups'][0]['groupid'])\n",
    "        dummy['partycolor']=get_link_color(dummy['party'])\n",
    "        dummy['groupcolor']=get_link_color(dummy['group'])\n",
    "        dummy['image']=get_photo(name,'name')\n",
    "        dummy['members']=1\n",
    "        dummy['year']=int(year)\n",
    "        dummy['last']=name.split(' ')[-1]\n",
    "        dummy['votes']=name_votes[name][year]\n",
    "        tnames.append(dummy)\n",
    "open('ep/export/json/tnames.json','w').write(json.dumps(tnames))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Joint allegiance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T00:55:58.058544Z",
     "start_time": "2019-03-07T00:55:57.983539Z"
    }
   },
   "outputs": [],
   "source": [
    "eu_allegiance['Joint']=eu_joint_allegiance\n",
    "eu_vt['Joint']=eu_joint_vt\n",
    "countries=countries+['Joint']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Allegiance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T00:55:58.723167Z",
     "start_time": "2019-03-07T00:55:58.183534Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_allegiance_matrix(key,vt,allegiance):\n",
    "    allegiance_matrix={}\n",
    "    initvote={'Same':0,'Opposite':0,'Total':0}\n",
    "    for j1 in vt:\n",
    "        outcome=j1['outcome']\n",
    "        name1=j1[key]\n",
    "        if name1 not in allegiance_matrix:allegiance_matrix[name1]={}\n",
    "        if outcome=='For':\n",
    "            for name2 in allegiance[j1['vote']]['For']:\n",
    "                if name2 not in allegiance_matrix[name1]:\n",
    "                    allegiance_matrix[name1][name2]=dict(initvote)\n",
    "                allegiance_matrix[name1][name2]['Total']+=1\n",
    "                allegiance_matrix[name1][name2]['Same']+=1\n",
    "            if 'Against' in allegiance[j1['vote']]:\n",
    "                for name2 in allegiance[j1['vote']]['Against']:\n",
    "                    if name2 not in allegiance_matrix[name1]:\n",
    "                        allegiance_matrix[name1][name2]=dict(initvote)\n",
    "                    allegiance_matrix[name1][name2]['Total']+=1\n",
    "                    allegiance_matrix[name1][name2]['Opposite']+=1\n",
    "        elif outcome=='Against':\n",
    "            for name2 in allegiance[j1['vote']]['Against']:\n",
    "                if name2 not in allegiance_matrix[name1]:\n",
    "                    allegiance_matrix[name1][name2]=dict(initvote)\n",
    "                allegiance_matrix[name1][name2]['Total']+=1\n",
    "                allegiance_matrix[name1][name2]['Same']+=1\n",
    "            if 'For' in allegiance[j1['vote']]:\n",
    "                for name2 in allegiance[j1['vote']]['For']:\n",
    "                    if name2 not in allegiance_matrix[name1]:\n",
    "                        allegiance_matrix[name1][name2]=dict(initvote)\n",
    "                    allegiance_matrix[name1][name2]['Total']+=1\n",
    "                    allegiance_matrix[name1][name2]['Opposite']+=1\n",
    "    for j in allegiance_matrix:\n",
    "        for i in allegiance_matrix[j]:\n",
    "            allegiance_matrix[j][i]['Same_perc']=np.round(allegiance_matrix[j][i]['Same']/allegiance_matrix[j][i]['Total'],3)\n",
    "            allegiance_matrix[j][i]['Opposite_perc']=np.round(allegiance_matrix[j][i]['Opposite']/allegiance_matrix[j][i]['Total'],3)\n",
    "    return allegiance_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T01:02:56.830809Z",
     "start_time": "2019-03-07T00:55:58.756695Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hungary 2004\n",
      "Hungary 2005\n",
      "Hungary 2006\n",
      "Hungary 2007\n",
      "Hungary 2008\n",
      "Hungary 2009\n",
      "Hungary 2010\n",
      "Hungary 2011\n",
      "Hungary 2012\n",
      "Hungary 2013\n",
      "Hungary 2014\n",
      "Hungary 2015\n",
      "Hungary 2016\n",
      "Hungary 2017\n",
      "Hungary 2018\n",
      "Hungary 2019\n",
      "Romania 2004\n",
      "Romania 2005\n",
      "Romania 2006\n",
      "Romania 2007\n",
      "Romania 2008\n",
      "Romania 2009\n",
      "Romania 2010\n",
      "Romania 2011\n",
      "Romania 2012\n",
      "Romania 2013\n",
      "Romania 2014\n",
      "Romania 2015\n",
      "Romania 2016\n",
      "Romania 2017\n",
      "Romania 2018\n",
      "Romania 2019\n",
      "Joint 2004\n",
      "Joint 2005\n",
      "Joint 2006\n",
      "Joint 2007\n",
      "Joint 2008\n",
      "Joint 2009\n",
      "Joint 2010\n",
      "Joint 2011\n",
      "Joint 2012\n",
      "Joint 2013\n",
      "Joint 2014\n",
      "Joint 2015\n",
      "Joint 2016\n",
      "Joint 2017\n",
      "Joint 2018\n",
      "Joint 2019\n"
     ]
    }
   ],
   "source": [
    "eu_allegiance_matrix={}\n",
    "for country in countries:\n",
    "    for year in sorted(eu_vt[country]):\n",
    "        for allegiance_type1 in ['name','group','party']:\n",
    "            for allegiance_type2 in ['name','group','party']:\n",
    "                dummy=get_allegiance_matrix(allegiance_type1,eu_vt[country][year],\n",
    "                        eu_allegiance[country][year][allegiance_type2])\n",
    "                if dummy!={}:\n",
    "                    if country not in eu_allegiance_matrix:eu_allegiance_matrix[country]={}\n",
    "                    if year not in eu_allegiance_matrix[country]:eu_allegiance_matrix[country][year]={}\n",
    "                    if allegiance_type1 not in eu_allegiance_matrix[country][year]:\n",
    "                        eu_allegiance_matrix[country][year][allegiance_type1]={}\n",
    "                    if allegiance_type2 not in eu_allegiance_matrix[country][year][allegiance_type1]:\n",
    "                        eu_allegiance_matrix[country][year][allegiance_type1][allegiance_type2]={}\n",
    "                    eu_allegiance_matrix[country][year][allegiance_type1][allegiance_type2]=dummy\n",
    "        print(country,year)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T01:02:57.880365Z",
     "start_time": "2019-03-07T01:02:56.841814Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13362078"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "open('ep/export/json/eu_allegiance_matrix.json','w').write(json.dumps(eu_allegiance_matrix))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Listify dictionary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T01:02:59.105356Z",
     "start_time": "2019-03-07T01:02:57.892358Z"
    }
   },
   "outputs": [],
   "source": [
    "eu_allegiance_list=[]\n",
    "for country in sorted(eu_allegiance_matrix):\n",
    "    for year in sorted(eu_allegiance_matrix[country]):\n",
    "        for allegiance_type1 in sorted(eu_allegiance_matrix[country][year]):\n",
    "            for allegiance_type2 in sorted(eu_allegiance_matrix[country][year][allegiance_type1]):\n",
    "                for name1 in sorted(eu_allegiance_matrix[country][year][allegiance_type1][allegiance_type2]):\n",
    "                    for name2 in sorted(eu_allegiance_matrix[country][year][allegiance_type1][allegiance_type2][name1]):\n",
    "                        dummy={'country':country,\n",
    "                                'year':year,\n",
    "                                'allegiance_type1':allegiance_type1,\n",
    "                                'allegiance_type2':allegiance_type2,\n",
    "                                'name1':name1,\n",
    "                                'name2':name2}\n",
    "                        for key in sorted(eu_allegiance_matrix[country][year][allegiance_type1][allegiance_type2][name1][name2]):\n",
    "                            dummy[key]=eu_allegiance_matrix[country][year]\\\n",
    "                                [allegiance_type1][allegiance_type2][name1][name2][key]\n",
    "                        if name1!=name2:\n",
    "                            eu_allegiance_list.append(dummy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T01:03:00.899953Z",
     "start_time": "2019-03-07T01:02:59.116362Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "28437990"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "open('ep/export/json/eu_allegiance_list.json','w').write(json.dumps(eu_allegiance_list))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For Flourish"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T01:03:02.648059Z",
     "start_time": "2019-03-07T01:03:00.910955Z"
    }
   },
   "outputs": [],
   "source": [
    "eu_allegiance_list=[]\n",
    "for country in sorted(eu_allegiance_matrix):\n",
    "    for year in sorted(eu_allegiance_matrix[country]):\n",
    "        for allegiance_type1 in sorted(eu_allegiance_matrix[country][year]):\n",
    "            for allegiance_type2 in sorted(eu_allegiance_matrix[country][year][allegiance_type1]):\n",
    "                for name1 in sorted(eu_allegiance_matrix[country][year][allegiance_type1][allegiance_type2]):\n",
    "                    for name2 in sorted(eu_allegiance_matrix[country][year][allegiance_type1][allegiance_type2][name1]):\n",
    "                        dummy={'country':country,\n",
    "                                'year':year,\n",
    "                                'allegiance_type1':allegiance_type1,\n",
    "                                'allegiance_type2':allegiance_type2,\n",
    "                                'name1':name1,\n",
    "                                'name2':name2}\n",
    "                        for key in sorted(eu_allegiance_matrix[country][year][allegiance_type1][allegiance_type2][name1][name2]):\n",
    "                            dummy[key]=eu_allegiance_matrix[country][year]\\\n",
    "                                [allegiance_type1][allegiance_type2][name1][name2][key]\n",
    "                        if name1!=name2:\n",
    "                            eu_allegiance_list.append(dummy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T01:03:41.701734Z",
     "start_time": "2019-03-07T01:03:02.656067Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hungary group group\n",
      "Hungary group name\n",
      "Hungary group party\n",
      "Hungary name group\n",
      "Hungary name name\n",
      "Hungary name party\n",
      "Hungary party group\n",
      "Hungary party name\n",
      "Hungary party party\n",
      "Joint group group\n",
      "Joint group name\n",
      "Joint group party\n",
      "Joint name group\n",
      "Joint name name\n",
      "Joint name party\n",
      "Joint party group\n",
      "Joint party name\n",
      "Joint party party\n",
      "Romania group group\n",
      "Romania group name\n",
      "Romania group party\n",
      "Romania name group\n",
      "Romania name name\n",
      "Romania name party\n",
      "Romania party group\n",
      "Romania party name\n",
      "Romania party party\n"
     ]
    }
   ],
   "source": [
    "for country in sorted(eu_allegiance_matrix):\n",
    "    for allegiance_type1 in sorted(eu_allegiance_matrix[country][year]):\n",
    "        for allegiance_type2 in sorted(eu_allegiance_matrix[country][year][allegiance_type1]):\n",
    "            print(country,allegiance_type1,allegiance_type2)\n",
    "            df=pd.DataFrame(eu_allegiance_list).set_index('allegiance_type1').loc[allegiance_type1]\\\n",
    "                .set_index('allegiance_type2').loc[allegiance_type2].set_index('country').loc[country]\\\n",
    "                .set_index(['name1','name2','year'])[['Same_perc']].unstack()\n",
    "            df=df['Same_perc'].reset_index()\n",
    "            df=get_photos(df,allegiance_type2)\n",
    "            df.to_excel('ep/export/flourish/'+country+'_'+allegiance_type1+'_'+allegiance_type2+'.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Clusterings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T01:03:43.009807Z",
     "start_time": "2019-03-07T01:03:41.708739Z"
    }
   },
   "outputs": [],
   "source": [
    "from scipy.cluster.hierarchy import dendrogram, linkage, fcluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T01:03:43.026801Z",
     "start_time": "2019-03-07T01:03:43.013795Z"
    }
   },
   "outputs": [],
   "source": [
    "def dict_2_matrix(matrix,key,party_labels=False):\n",
    "    labels=sorted(matrix)\n",
    "    slabels=[]\n",
    "    for i in range(len(labels)):\n",
    "        label=labels[i]\n",
    "        if label in names:\n",
    "            if party_labels:\n",
    "                party=party_normalizer(names[label]['Constituencies'][0]['party'])\n",
    "                group=party_normalizer(names[label]['Groups'][0]['groupid'])\n",
    "                slabels.append(str(label)+u' | '+str(party)+' | '+str(group))\n",
    "            else:\n",
    "                slabels.append(label)\n",
    "        else:\n",
    "            slabels.append(label)\n",
    "\n",
    "    #extend to square matrix\n",
    "    inner_keys=matrix[sorted(matrix)[0]]\n",
    "    inner_keys=sorted(inner_keys[sorted(inner_keys)[0]])\n",
    "    for name1 in  labels:\n",
    "        for name2 in labels:\n",
    "            if name2 not in matrix[name1]:\n",
    "                matrix[name1][name2]={i:0 for i in inner_keys}\n",
    "    return np.array([[matrix[name1][name2][key] for name2 in sorted(matrix[name1])] for name1 in labels]),slabels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T01:03:43.044797Z",
     "start_time": "2019-03-07T01:03:43.032798Z"
    }
   },
   "outputs": [],
   "source": [
    "def hier_cluster(matrix,level,th=1,key='Same_perc',party_labels=False,method='single', metric='euclidean',criterion='distance'):\n",
    "    X,labelList=dict_2_matrix(matrix[level][level],key,party_labels)\n",
    "    linked = linkage(X, method=method,metric=metric)\n",
    "    f=fcluster(linked, th, criterion)\n",
    "    labelList=[labelList[i]+' | '+str(f[i]) for i in range(len(labelList))]\n",
    "    return linked,labelList"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T01:03:43.064797Z",
     "start_time": "2019-03-07T01:03:43.049801Z"
    },
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "def dendro(matrix,level,th=1,key='Same_perc',party_labels=False,method='single', metric='euclidean'):\n",
    "    linked,labelList=hier_cluster(matrix,level,th,key,party_labels,method, metric)\n",
    "    plt.figure(figsize=(7, len(labelList)//4+1))\n",
    "    dendrogram(linked,  \n",
    "                orientation='right',\n",
    "                labels=labelList,\n",
    "                p=4,\n",
    "                #truncate_mode='lastp',\n",
    "                #show_contracted=True,\n",
    "                color_threshold=th,\n",
    "                distance_sort='descending',\n",
    "                show_leaf_counts=True)\n",
    "    ax=plt.gca()\n",
    "    ax.grid(False)\n",
    "    ax.set_xticks([])\n",
    "    ax.set_xticklabels([])\n",
    "    plt.setp(ax.get_yticklabels(), fontsize=10)\n",
    "    ylbls = ax.get_ymajorticklabels()\n",
    "    num=-1\n",
    "    for lbl in ylbls:\n",
    "        l=lbl.get_text()\n",
    "        l=l[l.find('|')+2:]\n",
    "        l=l[:l.find('|')-1]\n",
    "        num+=1\n",
    "        lbl.set_color(get_link_color(l))\n",
    "    plt.show()  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T01:03:43.520817Z",
     "start_time": "2019-03-07T01:03:43.070802Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dendro(eu_allegiance_matrix['Hungary']['2018'],'name',2,'Same_perc',True,'complete','seuclidean')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T01:03:43.873353Z",
     "start_time": "2019-03-07T01:03:43.525818Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dendro(eu_allegiance_matrix['Romania']['2018'],'name',3,'Same_perc',True,'complete','seuclidean')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T01:03:44.935375Z",
     "start_time": "2019-03-07T01:03:43.878350Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x1008 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dendro(eu_allegiance_matrix['Joint']['2018'],'name',4,'Same_perc',True,'complete','seuclidean')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T01:03:45.028373Z",
     "start_time": "2019-03-07T01:03:44.941375Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dendro(eu_allegiance_matrix['Romania']['2018'],'party',2,'Same_perc',True,'complete','seuclidean')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T01:03:45.132375Z",
     "start_time": "2019-03-07T01:03:45.033380Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dendro(eu_allegiance_matrix['Hungary']['2018'],'party',2,'Same_perc',True,'complete','seuclidean')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T01:03:45.273375Z",
     "start_time": "2019-03-07T01:03:45.137379Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dendro(eu_allegiance_matrix['Joint']['2018'],'party',4,'Same_perc',True,'complete','seuclidean')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Exctract clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T01:03:45.292376Z",
     "start_time": "2019-03-07T01:03:45.285376Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_unique_parent_node(nodes_children,node):\n",
    "    if node in leafs:\n",
    "        return node\n",
    "    elif len(nodes_children[node])>1:\n",
    "        return node\n",
    "    else:\n",
    "        return get_unique_parent_node(nodes_children,nodes_children[node][0])\n",
    "def get_unique_parent(node,node_dict,unique_node_set,root):\n",
    "    if node not in node_dict: \n",
    "        return root\n",
    "    elif node_dict[node] in unique_node_set:\n",
    "        return node_dict[node]\n",
    "    else:\n",
    "        return get_unique_parent(node_dict[node],node_dict,unique_node_set,root)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-07T01:03:47.052375Z",
     "start_time": "2019-03-07T01:03:45.299376Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "767804"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "master_tree={}\n",
    "nc_levels=10\n",
    "key='Same_perc'\n",
    "mpruned_nodes=[]\n",
    "for country in countries:\n",
    "    for year in eu_allegiance_matrix[country]:\n",
    "        for allegiance in eu_allegiance_matrix[country][year]:\n",
    "            uid=country+year+allegiance\n",
    "            cluster_list=[]\n",
    "            clusterdummy={}\n",
    "            for nc in range(2,nc_levels):\n",
    "                hc,hlabels=hier_cluster(eu_allegiance_matrix[country][year],\n",
    "                                        allegiance,nc,key,True,'complete','seuclidean','maxclust')\n",
    "                for i in hlabels:\n",
    "                    hi=i.split('|')\n",
    "                    name=hi[0].strip()\n",
    "                    cluster_no=hi[-1].strip()\n",
    "                    if name not in clusterdummy:\n",
    "                        clusterdummy[name]={}\n",
    "                        clusterdummy[name]['name']=name\n",
    "                        clusterdummy[name]['cluster_level_'+str(nc_levels)]=name\n",
    "                        clusterdummy[name]['country']=country\n",
    "                        clusterdummy[name]['cluster_level_1']=country\n",
    "                    clusterdummy[name]['cluster_level_'+str(nc)]='c'+str(nc)+str(cluster_no)\n",
    "            cluster_list=list(clusterdummy.values())\n",
    "            #construct tree\n",
    "            leafs=sorted(clusterdummy)\n",
    "            nodes=[{'name':country}]\n",
    "            nodes_done=set()\n",
    "            nodes_children={}\n",
    "            for i in cluster_list:\n",
    "                for cluster_level in range(2,nc_levels+1):\n",
    "                    node=i['cluster_level_'+str(cluster_level)]\n",
    "                    parent=i['cluster_level_'+str(cluster_level-1)]\n",
    "                    if node not in nodes_done:\n",
    "                        dummy={}\n",
    "                        nodes_done.add(node)\n",
    "                        dummy['name']=node\n",
    "                        dummy['parent']=parent\n",
    "                        if parent not in nodes_children:nodes_children[parent]=[]\n",
    "                        nodes_children[parent].append(node)\n",
    "                        nodes.append(dummy)\n",
    "            #get unique nodes\n",
    "            node_dict={i['name']:i['parent'] for i in nodes[1:]}\n",
    "            unique_nodes={}\n",
    "            for node in nodes_children:\n",
    "                unique_nodes[node]=get_unique_parent_node(nodes_children,node)\n",
    "            unique_node_set=set(unique_nodes.values()).union(set(leafs))\n",
    "            #prune\n",
    "            pruned_nodes=[]\n",
    "            for i in nodes:\n",
    "                dummy=i\n",
    "                name=i['name']\n",
    "                if 'parent' not in i:\n",
    "                    pruned_nodes.append(i)\n",
    "                elif i['name'] in unique_node_set:\n",
    "                    dummy['parent']=get_unique_parent(name,node_dict,unique_node_set,nodes[0]['name'])\n",
    "                    if name in leafs:\n",
    "                        if allegiance=='name':\n",
    "                            dummy['party']=party_normalizer(names[name]['Constituencies'][0]['party'])\n",
    "                            dummy['group']=party_normalizer(names[name]['Groups'][0]['groupid'])\n",
    "                            dummy['party2']=party_normalizer2(names[name]['Constituencies'][0]['party'])\n",
    "                            dummy['group2']=party_normalizer2(names[name]['Groups'][0]['groupid'])\n",
    "                        else:\n",
    "                            dummy['party']=''\n",
    "                            dummy['group']=''\n",
    "                            dummy['party2']=''\n",
    "                            dummy['group2']=''\n",
    "                        dummy['image']=get_photo(name,allegiance)     \n",
    "                    pruned_nodes.append(dummy)\n",
    "            for i in pruned_nodes:\n",
    "                dummy=i\n",
    "                if 'party' in dummy:\n",
    "                    dummy['partycolor']=get_link_color(dummy['party'])\n",
    "                if 'group' in dummy:\n",
    "                    dummy['groupcolor']=get_link_color(dummy['group'])\n",
    "                dummy['country']=country\n",
    "                dummy['year']=year\n",
    "                dummy['allegiance']=allegiance\n",
    "                mpruned_nodes.append(dummy)\n",
    "open('ep/export/json/nodes.json','w').write(json.dumps(mpruned_nodes))"
   ]
  },
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   "cell_type": "code",
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   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": []
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