Workbook.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from IPython.core.display import HTML\n",
    "import requests\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib\n",
    "from matplotlib import pyplot as plt\n",
    "import datetime\n",
    "import seaborn as sns\n",
    "from dateutil import parser\n",
    "import pytz\n",
    "import pylab as pl\n",
    "from pyquery import PyQuery as pq\n",
    "import numpy as np\n",
    "import scipy\n",
    "import pandas as pd\n",
    "from lxml import etree\n",
    "import os\n",
    "from os import path\n",
    "from pprint import pprint\n",
    "import dateutil\n",
    "import json\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "all_motions_json = []\n",
    "for i in range(1, 637+1):\n",
    "    try:\n",
    "        j = json.load(open('jsons/%s.json' % i))\n",
    "        all_motions_json.append(j)\n",
    "    except:\n",
    "        pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'01/07/2016'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "j['fecha']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "s_votes = []\n",
    "\n",
    "for m in all_motions_json:\n",
    "    v = m['votos']\n",
    "    s = pd.DataFrame(v)\n",
    "    s['sesion_id'] = m['sesion_id']\n",
    "    s['datestr'] = m['fecha']\n",
    "    s = s.set_index(['legislador_id', 'sesion_id'])\n",
    "    s_votes.append(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df_votes = pd.concat(s_votes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def vote_to_number(v):\n",
    "    MAPPING = {\n",
    "        'AFIRMATIVO': 1, # Yes\n",
    "        'AUSENTE': 0, # Absent, did not come to the session\n",
    "        'NEGATIVO': -1, # No\n",
    "        'ABSTENCION': 0, # person is present, but not vote\n",
    "    }\n",
    "    return MAPPING.get(v, 0)\n",
    "    \n",
    "df_votes['vote-value'] = df_votes['voto'].apply(vote_to_number)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from datetime import date\n",
    "\n",
    "df_votes['date'] = df_votes['datestr'].apply(lambda x: date(\n",
    "        int(x.split('/')[2]), \n",
    "        int(x.split('/')[1]), \n",
    "        int(x.split('/')[0])\n",
    "    ))\n",
    "df_votes['datetime'] = df_votes['date'].apply(lambda d: datetime.datetime(*d.timetuple()[:7]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#df_votes['date']\n",
    "#10/12/2013 - 10/12/2015"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "s = df_votes['partido'].value_counts()\n",
    "df_party_counts = pd.DataFrame(df_votes['partido'].value_counts()).reset_index()\n",
    "df_party_counts.columns = ['party', 'count']\n",
    "df_party_counts.to_csv('data/party-count.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#df_votes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of sessions:\n",
      "371\n"
     ]
    }
   ],
   "source": [
    "print('Total number of sessions:')\n",
    "print(len(df_votes.reset_index()['sesion_id'].value_counts()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of legislators:\n",
      "648\n"
     ]
    }
   ],
   "source": [
    "print('Total number of legislators:')\n",
    "print(len(df_votes.reset_index()['legislador_id'].value_counts()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "93330"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_votes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df_votes.to_csv('data/votes.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1131\n",
      "648\n"
     ]
    }
   ],
   "source": [
    "df_member_profile = df_votes.reset_index()[['legislador_id', 'agrupacion', 'agrupacion_color', 'camara', 'mail', 'nombre', 'partido']].drop_duplicates()\n",
    "print(len(df_member_profile))\n",
    "df_member_profile = df_member_profile.drop_duplicates('legislador_id')\n",
    "print(len(df_member_profile))\n",
    "df_member_profile.to_csv('data/member-profile.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": 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>legislador_id</th>\n",
       "      <th>agrupacion</th>\n",
       "      <th>agrupacion_color</th>\n",
       "      <th>camara</th>\n",
       "      <th>mail</th>\n",
       "      <th>nombre</th>\n",
       "      <th>partido</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>48160</th>\n",
       "      <td>738</td>\n",
       "      <td>Massismo y aliados</td>\n",
       "      <td>#b185b7</td>\n",
       "      <td>diputados</td>\n",
       "      <td>mtundis@diputados.gob.ar</td>\n",
       "      <td>TUNDIS,  MIRTA</td>\n",
       "      <td>FRENTE RENOVADOR</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       legislador_id          agrupacion agrupacion_color     camara  \\\n",
       "48160            738  Massismo y aliados          #b185b7  diputados   \n",
       "\n",
       "                           mail          nombre           partido  \n",
       "48160  mtundis@diputados.gob.ar  TUNDIS,  MIRTA  FRENTE RENOVADOR  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_member_profile[\n",
    "    df_member_profile['legislador_id'] == 738\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "agrupacion                Massismo y aliados\n",
       "agrupacion_color                     #b185b7\n",
       "camara                             diputados\n",
       "mail                mtundis@diputados.gob.ar\n",
       "nombre                        TUNDIS,  MIRTA\n",
       "partido                     FRENTE RENOVADOR\n",
       "Name: 738, dtype: object"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_member_profile.set_index('legislador_id').ix[738]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df_selected_votes = df_votes[\n",
    "    (df_votes['date'] >= date(2013, 12, 12))\n",
    "    &\n",
    "    (df_votes['date'] <= date(2015, 12, 12))\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "37379"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_selected_votes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df_votes_brief = df_selected_votes[['voto', 'vote-value']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AFIRMATIVO    25638\n",
       "AUSENTE        7516\n",
       "NEGATIVO       3241\n",
       "ABSTENCION      984\n",
       "Name: voto, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_votes_brief['voto'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df_matrix = df_votes_brief.reset_index().pivot(index='legislador_id', columns='sesion_id', values='vote-value')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df_matrix = df_matrix.fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df_matrix.to_csv('data/matrix-2013-2015.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(264, 146)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_matrix.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X = np.matrix(df_matrix.fillna(0).as_matrix()).astype('int8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "pca = PCA(n_components=3)\n",
    "X_reduced = pca.fit_transform(X)\n",
    "df_pc = pd.DataFrame(X_reduced, index=df_matrix.index, columns=['PC1', 'PC2', 'PC3'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 28.22993681,   3.62389691,   1.95130054])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca.explained_variance_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Watch out:\n",
    "* The explained variance by PC1 to PC3 is very small in this data set\n",
    "* The data set is highly non-linear"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x117c19780>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WxhBE8shEfe2ZOk53yTlJHSeVQnH+skBUIchLzk9829hEXo+JCttl67XMJ2oh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\nkRAlBBERAeD/A64rLfFdTF5cAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117bbd898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "df_pc[['PC1', 'PC2']].plot(x='PC1', y='PC2', kind='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_party_count_color = pd.read_csv('data/party-count-color.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "264"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_pc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "648"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_member_profile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df_pc_member = pd.merge(df_pc.reset_index(), df_member_profile, how='left',\n",
    "                        left_on='legislador_id', right_on='legislador_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "264"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_pc_member)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "264"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df_pc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x117c87400>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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vsibqz4L5I+ItwDPALRHxTeC3M/PJZc5WZ9zvV7WfaqUO1UWcZ7pmo3789sre6NgdZMm/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\nKtj/AoonI0sX+zn7AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117c87710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(1, 2)\n",
    "plt.scatter(2, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('', '')\n",
      "('Izquierda', '#D23939')\n",
      "('Kirchnerismo y aliados', '#007caf')\n",
      "('Massismo y aliados', '#b185b7')\n",
      "('Otros', '#A6A6A6')\n",
      "('Peronismo no kirchnerista', '#f6a619')\n",
      "('Pro y aliados', '#fbd95b')\n",
      "('UNEN - FAP - UCR', '#8eab35')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x117d2bc88>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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s3buHBx+cyLBhw3niibrn9MUXFwGwevW/uemmkQwePIRPPvmYoqJCRo4cxYoV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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10c869b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "ax = plt.subplot(1, 1, 1)\n",
    "from matplotlib.colors import ColorConverter\n",
    "\n",
    "'''\n",
    "for (i, m) in df_pc_member.iterrows():\n",
    "    #print(m['PC1'])\n",
    "    ax.scatter(m['PC1'], m['PC2'], color=m['_color'])\n",
    "    #print(m)\n",
    "'''\n",
    "\n",
    "for (gname, group) in df_pc_member.groupby(['agrupacion', 'agrupacion_color']):\n",
    "    print(gname)\n",
    "    if gname == ('', ''):\n",
    "        gname = ('null', '#000000')\n",
    "    ax.scatter(group['PC1'], group['PC2'], color=gname[1], label=gname[0])\n",
    "\n",
    "plt.legend(loc='upper left')\n",
    "plt.xlabel('PC1')\n",
    "plt.ylabel('PC2')\n",
    "\n",
    "#df_pc[['PC1', 'PC2']].plot(x='PC1', y='PC2', kind='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('', '')\n",
      "('Izquierda', '#D23939')\n",
      "('Kirchnerismo y aliados', '#007caf')\n",
      "('Massismo y aliados', '#b185b7')\n",
      "('Otros', '#A6A6A6')\n",
      "('Peronismo no kirchnerista', '#f6a619')\n",
      "('Pro y aliados', '#fbd95b')\n",
      "('UNEN - FAP - UCR', '#8eab35')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x117d36630>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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48GGuuqo3d989gMTEiVx99bU0bNiIxMTiFWGPx8P48ZM4ePAAy5a9TnCwlfT0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\nGMwlSZKkAvwv0AzOiWUa18wAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x116e1bc50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "plt.figure(figsize=(12, 6))\n",
    "ax = plt.subplot(1, 1, 1)\n",
    "from matplotlib.colors import ColorConverter\n",
    "\n",
    "'''\n",
    "for (i, m) in df_pc_member.iterrows():\n",
    "    #print(m['PC1'])\n",
    "    ax.scatter(m['PC1'], m['PC2'], color=m['_color'])\n",
    "    #print(m)\n",
    "'''\n",
    "\n",
    "for (gname, group) in df_pc_member.groupby(['agrupacion', 'agrupacion_color']):\n",
    "    print(gname)\n",
    "    if gname == ('', ''):\n",
    "        gname = ('null', '#000000')\n",
    "    ax.scatter(group['PC1'], [0] * len(group['PC1']), color=gname[1], label=gname[0])\n",
    "\n",
    "plt.legend(loc='upper left')\n",
    "plt.xlabel('PC1')\n",
    "plt.ylabel('PC2')\n",
    "\n",
    "#df_pc[['PC1', 'PC2']].plot(x='PC1', y='PC2', kind='scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "77986"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pc_member['legislador_id'] = df_pc_member['legislador_id'].apply(lambda x: str(x))\n",
    "open('data/pc-member-3d.json', 'w').write(json.dumps(\n",
    "    df_pc_member.set_index('legislador_id').T.to_dict()\n",
    "    ))\n",
    "open('data/pc-member-3d.js', 'w').write(\n",
    "    'var jsonData = %s' %\n",
    "    json.dumps(\n",
    "        df_pc_member.set_index('legislador_id').T.to_dict()\n",
    "    ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": 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>legislador_id</th>\n",
       "      <th>PC1</th>\n",
       "      <th>PC2</th>\n",
       "      <th>PC3</th>\n",
       "      <th>agrupacion</th>\n",
       "      <th>agrupacion_color</th>\n",
       "      <th>camara</th>\n",
       "      <th>mail</th>\n",
       "      <th>nombre</th>\n",
       "      <th>partido</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>-0.581584</td>\n",
       "      <td>3.205870</td>\n",
       "      <td>-0.160135</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>nabdaladem@diputados.gob.ar</td>\n",
       "      <td>Abdala de Matarazzo,  Norma Amanda</td>\n",
       "      <td>FRENTE CÍVICO POR SANTIAGO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8</td>\n",
       "      <td>5.984325</td>\n",
       "      <td>1.039177</td>\n",
       "      <td>-1.520055</td>\n",
       "      <td>UNEN - FAP - UCR</td>\n",
       "      <td>#8eab35</td>\n",
       "      <td>diputados</td>\n",
       "      <td>oaguad@diputados.gob.ar</td>\n",
       "      <td>Aguad,  Oscar Raúl</td>\n",
       "      <td>UNIÓN CÍVICA RADICAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10</td>\n",
       "      <td>3.960056</td>\n",
       "      <td>-0.156964</td>\n",
       "      <td>0.767200</td>\n",
       "      <td>Peronismo no kirchnerista</td>\n",
       "      <td>#f6a619</td>\n",
       "      <td>diputados</td>\n",
       "      <td>laguilar@diputados.gob.ar</td>\n",
       "      <td>AGUILAR,  Lino Walter</td>\n",
       "      <td>FRENTE PERONISTA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>19</td>\n",
       "      <td>5.452833</td>\n",
       "      <td>-1.578642</td>\n",
       "      <td>-0.600426</td>\n",
       "      <td>UNEN - FAP - UCR</td>\n",
       "      <td>#8eab35</td>\n",
       "      <td>diputados</td>\n",
       "      <td>ralfonsin@diputados.gob.ar</td>\n",
       "      <td>ALFONSÍN,  Ricardo Luis</td>\n",
       "      <td>UNIÓN CÍVICA RADICAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22</td>\n",
       "      <td>6.595750</td>\n",
       "      <td>2.366079</td>\n",
       "      <td>2.555453</td>\n",
       "      <td>Pro y aliados</td>\n",
       "      <td>#fbd95b</td>\n",
       "      <td>diputados</td>\n",
       "      <td>lalonso@diputados.gob.ar</td>\n",
       "      <td>ALONSO,  Laura</td>\n",
       "      <td>PRO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>23</td>\n",
       "      <td>-5.770926</td>\n",
       "      <td>-0.774505</td>\n",
       "      <td>0.212649</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>malonso@diputados.gob.ar</td>\n",
       "      <td>ALONSO,  María Luz</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>38</td>\n",
       "      <td>4.636692</td>\n",
       "      <td>-0.676913</td>\n",
       "      <td>-1.173376</td>\n",
       "      <td>UNEN - FAP - UCR</td>\n",
       "      <td>#8eab35</td>\n",
       "      <td>diputados</td>\n",
       "      <td>aargumedo@diputados.gob.ar</td>\n",
       "      <td>ARGUMEDO,  Alcira Susana</td>\n",
       "      <td>PROYECTO SUR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>40</td>\n",
       "      <td>-4.400734</td>\n",
       "      <td>-0.719819</td>\n",
       "      <td>0.666265</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>aarregui@diputados.gob.ar</td>\n",
       "      <td>ARREGUI,  Andrés Roberto</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>45</td>\n",
       "      <td>4.639838</td>\n",
       "      <td>3.211533</td>\n",
       "      <td>-0.393616</td>\n",
       "      <td>Massismo y aliados</td>\n",
       "      <td>#b185b7</td>\n",
       "      <td>diputados</td>\n",
       "      <td>aasseff@diputados.gob.ar</td>\n",
       "      <td>ASSEFF,  Alberto Emilio</td>\n",
       "      <td>FRENTE PERONISTA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>48</td>\n",
       "      <td>-5.480399</td>\n",
       "      <td>-0.799735</td>\n",
       "      <td>-0.190062</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>havoscan@diputados.gob.ar</td>\n",
       "      <td>AVOSCÁN,  Herman</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>52</td>\n",
       "      <td>-5.231306</td>\n",
       "      <td>0.080842</td>\n",
       "      <td>-0.121284</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>mbalcedo@diputados.gob.ar</td>\n",
       "      <td>BALCEDO,  María Ester</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>57</td>\n",
       "      <td>5.618775</td>\n",
       "      <td>-3.303442</td>\n",
       "      <td>-0.762497</td>\n",
       "      <td>UNEN - FAP - UCR</td>\n",
       "      <td>#8eab35</td>\n",
       "      <td>diputados</td>\n",
       "      <td>obarchetta@diputados.gob.ar</td>\n",
       "      <td>BARCHETTA,  Omar Segundo</td>\n",
       "      <td>PARTIDO SOCIALISTA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>63</td>\n",
       "      <td>-5.734283</td>\n",
       "      <td>-0.576999</td>\n",
       "      <td>0.068810</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>lbasterra@diputados.gob.ar</td>\n",
       "      <td>BASTERRA,  Luis Eugenio</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>65</td>\n",
       "      <td>5.807663</td>\n",
       "      <td>-3.615614</td>\n",
       "      <td>-0.388757</td>\n",
       "      <td>UNEN - FAP - UCR</td>\n",
       "      <td>#8eab35</td>\n",
       "      <td>diputados</td>\n",
       "      <td>mbazze@diputados.gob.ar</td>\n",
       "      <td>BAZZE,  Miguel Ángel</td>\n",
       "      <td>UNIÓN CÍVICA RADICAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>67</td>\n",
       "      <td>-5.538264</td>\n",
       "      <td>-0.555725</td>\n",
       "      <td>0.230412</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>nbedano@diputados.gob.ar</td>\n",
       "      <td>BEDANO,  Nora Esther</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>80</td>\n",
       "      <td>4.313128</td>\n",
       "      <td>0.512184</td>\n",
       "      <td>0.581897</td>\n",
       "      <td>Peronismo no kirchnerista</td>\n",
       "      <td>#f6a619</td>\n",
       "      <td>diputados</td>\n",
       "      <td>ibianchi@diputados.gob.ar</td>\n",
       "      <td>BIANCHI,  Ivana María</td>\n",
       "      <td>FRENTE PERONISTA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>81</td>\n",
       "      <td>-4.762098</td>\n",
       "      <td>0.575239</td>\n",
       "      <td>0.067909</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>mbianchi@diputados.gob.ar</td>\n",
       "      <td>BIANCHI,  María del Carmen</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>83</td>\n",
       "      <td>-4.961068</td>\n",
       "      <td>-0.291306</td>\n",
       "      <td>-0.577820</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>gbidegain@diputados.gob.ar</td>\n",
       "      <td>BIDEGAIN,  Gloria Mercedes</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>84</td>\n",
       "      <td>6.015426</td>\n",
       "      <td>-1.270015</td>\n",
       "      <td>0.093144</td>\n",
       "      <td>UNEN - FAP - UCR</td>\n",
       "      <td>#8eab35</td>\n",
       "      <td>diputados</td>\n",
       "      <td>bbiellac@diputados.gob.ar</td>\n",
       "      <td>BIELLA CALVET,  Bernardo José</td>\n",
       "      <td>U.DE.SO. SALTA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>86</td>\n",
       "      <td>5.362292</td>\n",
       "      <td>2.060397</td>\n",
       "      <td>-1.868149</td>\n",
       "      <td>UNEN - FAP - UCR</td>\n",
       "      <td>#8eab35</td>\n",
       "      <td>diputados</td>\n",
       "      <td>hbinner@diputados.gob.ar</td>\n",
       "      <td>BINNER,  Hermes</td>\n",
       "      <td>PARTIDO SOCIALISTA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>93</td>\n",
       "      <td>-5.733551</td>\n",
       "      <td>-0.590003</td>\n",
       "      <td>0.170863</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>mbrawer@diputados.gob.ar</td>\n",
       "      <td>BRAWER,  Mara</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>96</td>\n",
       "      <td>-0.845502</td>\n",
       "      <td>4.453267</td>\n",
       "      <td>0.187970</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>ibromberg@diputados.gob.ar</td>\n",
       "      <td>BROMBERG,  Isaac Benjamín</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>97</td>\n",
       "      <td>5.670609</td>\n",
       "      <td>2.325038</td>\n",
       "      <td>-0.097669</td>\n",
       "      <td>Peronismo no kirchnerista</td>\n",
       "      <td>#f6a619</td>\n",
       "      <td>diputados</td>\n",
       "      <td>cbrown@diputados.gob.ar</td>\n",
       "      <td>BROWN,  Carlos Ramón</td>\n",
       "      <td>FRENTE PERONISTA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>100</td>\n",
       "      <td>6.799250</td>\n",
       "      <td>-0.764036</td>\n",
       "      <td>5.469624</td>\n",
       "      <td>Pro y aliados</td>\n",
       "      <td>#fbd95b</td>\n",
       "      <td>diputados</td>\n",
       "      <td>pbullrich@diputados.gob.ar</td>\n",
       "      <td>BULLRICH,  Patricia</td>\n",
       "      <td>UNIÓN POR TODOS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>101</td>\n",
       "      <td>6.291866</td>\n",
       "      <td>-3.396317</td>\n",
       "      <td>-0.654518</td>\n",
       "      <td>UNEN - FAP - UCR</td>\n",
       "      <td>#8eab35</td>\n",
       "      <td>diputados</td>\n",
       "      <td>rburyaile@diputados.gob.ar</td>\n",
       "      <td>BURYAILE,  Ricardo</td>\n",
       "      <td>UNIÓN CÍVICA RADICAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>103</td>\n",
       "      <td>-5.767353</td>\n",
       "      <td>-0.685864</td>\n",
       "      <td>0.180037</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>ecalcagno@diputados.gob.ar</td>\n",
       "      <td>CALCAGNO,  Eric</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>108</td>\n",
       "      <td>4.636330</td>\n",
       "      <td>2.638950</td>\n",
       "      <td>-0.638896</td>\n",
       "      <td>Massismo y aliados</td>\n",
       "      <td>#b185b7</td>\n",
       "      <td>diputados</td>\n",
       "      <td>gcamano@diputados.gob.ar</td>\n",
       "      <td>CAMAÑO,  Graciela</td>\n",
       "      <td>FRENTE PERONISTA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>110</td>\n",
       "      <td>-5.641843</td>\n",
       "      <td>-0.755039</td>\n",
       "      <td>-0.005080</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>scanela@diputados.gob.ar</td>\n",
       "      <td>CANELA,  Susana Mercedes</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>117</td>\n",
       "      <td>-5.360498</td>\n",
       "      <td>-0.387616</td>\n",
       "      <td>-0.411470</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>rcarlotto@diputados.gob.ar</td>\n",
       "      <td>CARLOTTO,  Remo Gerardo</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>118</td>\n",
       "      <td>-5.625979</td>\n",
       "      <td>-0.720070</td>\n",
       "      <td>-0.108976</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>gcarmona@diputados.gob.ar</td>\n",
       "      <td>CARMONA,  Guillermo Ramón</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>699</td>\n",
       "      <td>-4.048869</td>\n",
       "      <td>1.448398</td>\n",
       "      <td>0.308475</td>\n",
       "      <td>Otros</td>\n",
       "      <td>#A6A6A6</td>\n",
       "      <td>diputados</td>\n",
       "      <td>asanmartin@diputados.gob.ar</td>\n",
       "      <td>san martín,  adrián</td>\n",
       "      <td>MOVIMIENTO POPULAR NEUQUINO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>700</td>\n",
       "      <td>-4.385757</td>\n",
       "      <td>0.593650</td>\n",
       "      <td>-0.505851</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>oamartinez@diputados.gob.ar</td>\n",
       "      <td>martínez,  oscar anselmo</td>\n",
       "      <td>MOVIMIENTO SOLIDARIO POPULAR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>701</td>\n",
       "      <td>0.885485</td>\n",
       "      <td>2.168656</td>\n",
       "      <td>0.614397</td>\n",
       "      <td>Otros</td>\n",
       "      <td>#A6A6A6</td>\n",
       "      <td>diputados</td>\n",
       "      <td>gboyadjian@diputados.gob.ar</td>\n",
       "      <td>boyadjian,  graciela eunice</td>\n",
       "      <td>MOVIMIENTO POPULAR FUEGUINO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>703</td>\n",
       "      <td>-5.750840</td>\n",
       "      <td>-0.683120</td>\n",
       "      <td>0.150904</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>ncarrizo@diputados.gob.ar</td>\n",
       "      <td>CARRIZO,  NILDA MABEL</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>705</td>\n",
       "      <td>-5.412901</td>\n",
       "      <td>-0.167056</td>\n",
       "      <td>0.414625</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>mgomezb@diputados.gob.ar</td>\n",
       "      <td>GÓMEZ BULL,  MAURICIO</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>707</td>\n",
       "      <td>-5.162647</td>\n",
       "      <td>-0.448005</td>\n",
       "      <td>0.040474</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>tmadera@diputados.gob.ar</td>\n",
       "      <td>MADERA,  TERESITA</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>708</td>\n",
       "      <td>-5.723727</td>\n",
       "      <td>-0.688239</td>\n",
       "      <td>0.129823</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>vmagario@diputados.gob.ar</td>\n",
       "      <td>MAGARIO,  VERÓNICA</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>710</td>\n",
       "      <td>-5.456613</td>\n",
       "      <td>-0.206726</td>\n",
       "      <td>0.479411</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>eseminara@diputados.gob.ar</td>\n",
       "      <td>SEMINARA,  EDUARDO JORGE</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>711</td>\n",
       "      <td>-5.678652</td>\n",
       "      <td>-0.609853</td>\n",
       "      <td>0.188767</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>htentor@diputados.gob.ar</td>\n",
       "      <td>TENTOR,  HÉCTOR</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>712</td>\n",
       "      <td>-5.065575</td>\n",
       "      <td>-0.304320</td>\n",
       "      <td>-0.002907</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>ntomassi@diputados.gob.ar</td>\n",
       "      <td>TOMASSI,  NÉSTOR</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>713</td>\n",
       "      <td>-2.631064</td>\n",
       "      <td>1.908525</td>\n",
       "      <td>0.741196</td>\n",
       "      <td>Otros</td>\n",
       "      <td>#A6A6A6</td>\n",
       "      <td>diputados</td>\n",
       "      <td>mvillarm@diputados.gob.ar</td>\n",
       "      <td>VILLAR MOLINA,  MARÍA INÉS</td>\n",
       "      <td>MOVIMIENTO POPULAR NEUQUINO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>715</td>\n",
       "      <td>6.764725</td>\n",
       "      <td>-2.299126</td>\n",
       "      <td>-0.216480</td>\n",
       "      <td>UNEN - FAP - UCR</td>\n",
       "      <td>#8eab35</td>\n",
       "      <td>diputados</td>\n",
       "      <td>ccarrizo@diputados.gob.ar</td>\n",
       "      <td>CARRIZO,  ANA CARLA</td>\n",
       "      <td>UNIÓN CÍVICA RADICAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>717</td>\n",
       "      <td>6.482911</td>\n",
       "      <td>-3.410978</td>\n",
       "      <td>-0.837384</td>\n",
       "      <td>UNEN - FAP - UCR</td>\n",
       "      <td>#8eab35</td>\n",
       "      <td>diputados</td>\n",
       "      <td>jdagostino@diputados.gob.ar</td>\n",
       "      <td>D'AGOSTINO,  JORGE</td>\n",
       "      <td>UNIÓN CÍVICA RADICAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>718</td>\n",
       "      <td>6.373065</td>\n",
       "      <td>-4.188382</td>\n",
       "      <td>-1.218105</td>\n",
       "      <td>UNEN - FAP - UCR</td>\n",
       "      <td>#8eab35</td>\n",
       "      <td>diputados</td>\n",
       "      <td>pgimenez@diputados.gob.ar</td>\n",
       "      <td>GIMÉNEZ,  PATRICIA</td>\n",
       "      <td>UNIÓN CÍVICA RADICAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>720</td>\n",
       "      <td>5.620855</td>\n",
       "      <td>-3.356113</td>\n",
       "      <td>-1.180976</td>\n",
       "      <td>UNEN - FAP - UCR</td>\n",
       "      <td>#8eab35</td>\n",
       "      <td>diputados</td>\n",
       "      <td>holivares@diputados.gob.ar</td>\n",
       "      <td>OLIVARES,  HÉCTOR ENRIQUE</td>\n",
       "      <td>UNIÓN CÍVICA RADICAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>723</td>\n",
       "      <td>6.280506</td>\n",
       "      <td>-1.692140</td>\n",
       "      <td>-1.057671</td>\n",
       "      <td>UNEN - FAP - UCR</td>\n",
       "      <td>#8eab35</td>\n",
       "      <td>diputados</td>\n",
       "      <td>msemhan@diputados.gob.ar</td>\n",
       "      <td>SEMHAN,  MARÍA DE LAS MERCEDES</td>\n",
       "      <td>UNIÓN CÍVICA RADICAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>729</td>\n",
       "      <td>4.760676</td>\n",
       "      <td>0.798011</td>\n",
       "      <td>-0.274328</td>\n",
       "      <td>Massismo y aliados</td>\n",
       "      <td>#b185b7</td>\n",
       "      <td>diputados</td>\n",
       "      <td>mdalessandro@diputados.gob.ar</td>\n",
       "      <td>D'ALESSANDRO,  MARCELO</td>\n",
       "      <td>FRENTE RENOVADOR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>730</td>\n",
       "      <td>2.445833</td>\n",
       "      <td>1.319574</td>\n",
       "      <td>-0.210202</td>\n",
       "      <td>Massismo y aliados</td>\n",
       "      <td>#b185b7</td>\n",
       "      <td>diputados</td>\n",
       "      <td>hdaer@diputados.gob.ar</td>\n",
       "      <td>DAER,  HÉCTOR RICARDO</td>\n",
       "      <td>FRENTE RENOVADOR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>733</td>\n",
       "      <td>2.109045</td>\n",
       "      <td>0.144624</td>\n",
       "      <td>-0.505094</td>\n",
       "      <td>Massismo y aliados</td>\n",
       "      <td>#b185b7</td>\n",
       "      <td>diputados</td>\n",
       "      <td>rgiustozzi@diputados.gob.ar</td>\n",
       "      <td>GIUSTOZZI,  DARÍO</td>\n",
       "      <td>FRENTE RENOVADOR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>736</td>\n",
       "      <td>6.230021</td>\n",
       "      <td>-0.601318</td>\n",
       "      <td>5.296043</td>\n",
       "      <td>Pro y aliados</td>\n",
       "      <td>#fbd95b</td>\n",
       "      <td>diputados</td>\n",
       "      <td>fsturzenegger@diputados.gob.ar</td>\n",
       "      <td>STURZENEGGER,  FEDERICO</td>\n",
       "      <td>UNIÓN PRO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>737</td>\n",
       "      <td>4.156309</td>\n",
       "      <td>1.324727</td>\n",
       "      <td>3.531712</td>\n",
       "      <td>Pro y aliados</td>\n",
       "      <td>#fbd95b</td>\n",
       "      <td>diputados</td>\n",
       "      <td>mtorresdelsel@diputados.gob.ar</td>\n",
       "      <td>TORRES DEL SEL,  MIGUEL</td>\n",
       "      <td>UNIÓN PRO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>738</td>\n",
       "      <td>4.481691</td>\n",
       "      <td>-2.107590</td>\n",
       "      <td>-0.480405</td>\n",
       "      <td>Massismo y aliados</td>\n",
       "      <td>#b185b7</td>\n",
       "      <td>diputados</td>\n",
       "      <td>mtundis@diputados.gob.ar</td>\n",
       "      <td>TUNDIS,  MIRTA</td>\n",
       "      <td>FRENTE RENOVADOR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>740</td>\n",
       "      <td>7.347937</td>\n",
       "      <td>-0.301292</td>\n",
       "      <td>3.734303</td>\n",
       "      <td>Pro y aliados</td>\n",
       "      <td>#fbd95b</td>\n",
       "      <td>diputados</td>\n",
       "      <td>ecaceres@diputados.gob.ar</td>\n",
       "      <td>CÁCERES,  EDUARDO</td>\n",
       "      <td>UNIÓN PRO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>745</td>\n",
       "      <td>-4.446112</td>\n",
       "      <td>0.492914</td>\n",
       "      <td>-1.506427</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td></td>\n",
       "      <td>BERNABEY,  RAMÓN ERNESTO</td>\n",
       "      <td>NO INTEGRA BLOQUE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>763</td>\n",
       "      <td>6.266590</td>\n",
       "      <td>-1.297668</td>\n",
       "      <td>4.961495</td>\n",
       "      <td>Pro y aliados</td>\n",
       "      <td>#fbd95b</td>\n",
       "      <td>diputados</td>\n",
       "      <td>csliermann@diputados.gob.ar</td>\n",
       "      <td>Schmidt Liermann, Cornelia</td>\n",
       "      <td>PRO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>765</td>\n",
       "      <td>5.848482</td>\n",
       "      <td>3.602665</td>\n",
       "      <td>0.836548</td>\n",
       "      <td>Pro y aliados</td>\n",
       "      <td>#fbd95b</td>\n",
       "      <td>diputados</td>\n",
       "      <td></td>\n",
       "      <td>Laspina,  Luciano</td>\n",
       "      <td>UNIÓN PRO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>766</td>\n",
       "      <td>-0.068917</td>\n",
       "      <td>4.161108</td>\n",
       "      <td>-2.417735</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>diputados</td>\n",
       "      <td></td>\n",
       "      <td>Pasini, Ariel Osvaldo Eloy</td>\n",
       "      <td>FRENTE PARA LA VICTORIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>767</td>\n",
       "      <td>4.568847</td>\n",
       "      <td>4.037804</td>\n",
       "      <td>-1.684544</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>diputados</td>\n",
       "      <td></td>\n",
       "      <td>Bregman,  Myriam</td>\n",
       "      <td>PTS - FRENTE DE IZQUIERDA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>768</td>\n",
       "      <td>4.019398</td>\n",
       "      <td>4.417477</td>\n",
       "      <td>-1.775098</td>\n",
       "      <td>UNEN - FAP - UCR</td>\n",
       "      <td>#8eab35</td>\n",
       "      <td>diputados</td>\n",
       "      <td></td>\n",
       "      <td>Fernández Blanco,  MarÍA Cristina</td>\n",
       "      <td>UNIÓN CÍVICA RADICAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>1176</td>\n",
       "      <td>-5.216951</td>\n",
       "      <td>0.216818</td>\n",
       "      <td>-0.590593</td>\n",
       "      <td>Kirchnerismo y aliados</td>\n",
       "      <td>#007caf</td>\n",
       "      <td>diputados</td>\n",
       "      <td>aferreyra@diputados.gob.ar</td>\n",
       "      <td>Ferreyra,  Araceli Susana Del Rosario</td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>264 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    legislador_id       PC1       PC2       PC3                 agrupacion  \\\n",
       "0               1 -0.581584  3.205870 -0.160135     Kirchnerismo y aliados   \n",
       "1               8  5.984325  1.039177 -1.520055           UNEN - FAP - UCR   \n",
       "2              10  3.960056 -0.156964  0.767200  Peronismo no kirchnerista   \n",
       "3              19  5.452833 -1.578642 -0.600426           UNEN - FAP - UCR   \n",
       "4              22  6.595750  2.366079  2.555453              Pro y aliados   \n",
       "5              23 -5.770926 -0.774505  0.212649     Kirchnerismo y aliados   \n",
       "6              38  4.636692 -0.676913 -1.173376           UNEN - FAP - UCR   \n",
       "7              40 -4.400734 -0.719819  0.666265     Kirchnerismo y aliados   \n",
       "8              45  4.639838  3.211533 -0.393616         Massismo y aliados   \n",
       "9              48 -5.480399 -0.799735 -0.190062     Kirchnerismo y aliados   \n",
       "10             52 -5.231306  0.080842 -0.121284     Kirchnerismo y aliados   \n",
       "11             57  5.618775 -3.303442 -0.762497           UNEN - FAP - UCR   \n",
       "12             63 -5.734283 -0.576999  0.068810     Kirchnerismo y aliados   \n",
       "13             65  5.807663 -3.615614 -0.388757           UNEN - FAP - UCR   \n",
       "14             67 -5.538264 -0.555725  0.230412     Kirchnerismo y aliados   \n",
       "15             80  4.313128  0.512184  0.581897  Peronismo no kirchnerista   \n",
       "16             81 -4.762098  0.575239  0.067909     Kirchnerismo y aliados   \n",
       "17             83 -4.961068 -0.291306 -0.577820     Kirchnerismo y aliados   \n",
       "18             84  6.015426 -1.270015  0.093144           UNEN - FAP - UCR   \n",
       "19             86  5.362292  2.060397 -1.868149           UNEN - FAP - UCR   \n",
       "20             93 -5.733551 -0.590003  0.170863     Kirchnerismo y aliados   \n",
       "21             96 -0.845502  4.453267  0.187970     Kirchnerismo y aliados   \n",
       "22             97  5.670609  2.325038 -0.097669  Peronismo no kirchnerista   \n",
       "23            100  6.799250 -0.764036  5.469624              Pro y aliados   \n",
       "24            101  6.291866 -3.396317 -0.654518           UNEN - FAP - UCR   \n",
       "25            103 -5.767353 -0.685864  0.180037     Kirchnerismo y aliados   \n",
       "26            108  4.636330  2.638950 -0.638896         Massismo y aliados   \n",
       "27            110 -5.641843 -0.755039 -0.005080     Kirchnerismo y aliados   \n",
       "28            117 -5.360498 -0.387616 -0.411470     Kirchnerismo y aliados   \n",
       "29            118 -5.625979 -0.720070 -0.108976     Kirchnerismo y aliados   \n",
       "..            ...       ...       ...       ...                        ...   \n",
       "234           699 -4.048869  1.448398  0.308475                      Otros   \n",
       "235           700 -4.385757  0.593650 -0.505851     Kirchnerismo y aliados   \n",
       "236           701  0.885485  2.168656  0.614397                      Otros   \n",
       "237           703 -5.750840 -0.683120  0.150904     Kirchnerismo y aliados   \n",
       "238           705 -5.412901 -0.167056  0.414625     Kirchnerismo y aliados   \n",
       "239           707 -5.162647 -0.448005  0.040474     Kirchnerismo y aliados   \n",
       "240           708 -5.723727 -0.688239  0.129823     Kirchnerismo y aliados   \n",
       "241           710 -5.456613 -0.206726  0.479411     Kirchnerismo y aliados   \n",
       "242           711 -5.678652 -0.609853  0.188767     Kirchnerismo y aliados   \n",
       "243           712 -5.065575 -0.304320 -0.002907     Kirchnerismo y aliados   \n",
       "244           713 -2.631064  1.908525  0.741196                      Otros   \n",
       "245           715  6.764725 -2.299126 -0.216480           UNEN - FAP - UCR   \n",
       "246           717  6.482911 -3.410978 -0.837384           UNEN - FAP - UCR   \n",
       "247           718  6.373065 -4.188382 -1.218105           UNEN - FAP - UCR   \n",
       "248           720  5.620855 -3.356113 -1.180976           UNEN - FAP - UCR   \n",
       "249           723  6.280506 -1.692140 -1.057671           UNEN - FAP - UCR   \n",
       "250           729  4.760676  0.798011 -0.274328         Massismo y aliados   \n",
       "251           730  2.445833  1.319574 -0.210202         Massismo y aliados   \n",
       "252           733  2.109045  0.144624 -0.505094         Massismo y aliados   \n",
       "253           736  6.230021 -0.601318  5.296043              Pro y aliados   \n",
       "254           737  4.156309  1.324727  3.531712              Pro y aliados   \n",
       "255           738  4.481691 -2.107590 -0.480405         Massismo y aliados   \n",
       "256           740  7.347937 -0.301292  3.734303              Pro y aliados   \n",
       "257           745 -4.446112  0.492914 -1.506427     Kirchnerismo y aliados   \n",
       "258           763  6.266590 -1.297668  4.961495              Pro y aliados   \n",
       "259           765  5.848482  3.602665  0.836548              Pro y aliados   \n",
       "260           766 -0.068917  4.161108 -2.417735                              \n",
       "261           767  4.568847  4.037804 -1.684544                              \n",
       "262           768  4.019398  4.417477 -1.775098           UNEN - FAP - UCR   \n",
       "263          1176 -5.216951  0.216818 -0.590593     Kirchnerismo y aliados   \n",
       "\n",
       "    agrupacion_color     camara                            mail  \\\n",
       "0            #007caf  diputados     nabdaladem@diputados.gob.ar   \n",
       "1            #8eab35  diputados         oaguad@diputados.gob.ar   \n",
       "2            #f6a619  diputados       laguilar@diputados.gob.ar   \n",
       "3            #8eab35  diputados      ralfonsin@diputados.gob.ar   \n",
       "4            #fbd95b  diputados        lalonso@diputados.gob.ar   \n",
       "5            #007caf  diputados        malonso@diputados.gob.ar   \n",
       "6            #8eab35  diputados      aargumedo@diputados.gob.ar   \n",
       "7            #007caf  diputados       aarregui@diputados.gob.ar   \n",
       "8            #b185b7  diputados        aasseff@diputados.gob.ar   \n",
       "9            #007caf  diputados       havoscan@diputados.gob.ar   \n",
       "10           #007caf  diputados       mbalcedo@diputados.gob.ar   \n",
       "11           #8eab35  diputados     obarchetta@diputados.gob.ar   \n",
       "12           #007caf  diputados      lbasterra@diputados.gob.ar   \n",
       "13           #8eab35  diputados         mbazze@diputados.gob.ar   \n",
       "14           #007caf  diputados        nbedano@diputados.gob.ar   \n",
       "15           #f6a619  diputados       ibianchi@diputados.gob.ar   \n",
       "16           #007caf  diputados       mbianchi@diputados.gob.ar   \n",
       "17           #007caf  diputados      gbidegain@diputados.gob.ar   \n",
       "18           #8eab35  diputados       bbiellac@diputados.gob.ar   \n",
       "19           #8eab35  diputados        hbinner@diputados.gob.ar   \n",
       "20           #007caf  diputados        mbrawer@diputados.gob.ar   \n",
       "21           #007caf  diputados      ibromberg@diputados.gob.ar   \n",
       "22           #f6a619  diputados         cbrown@diputados.gob.ar   \n",
       "23           #fbd95b  diputados      pbullrich@diputados.gob.ar   \n",
       "24           #8eab35  diputados      rburyaile@diputados.gob.ar   \n",
       "25           #007caf  diputados      ecalcagno@diputados.gob.ar   \n",
       "26           #b185b7  diputados        gcamano@diputados.gob.ar   \n",
       "27           #007caf  diputados        scanela@diputados.gob.ar   \n",
       "28           #007caf  diputados      rcarlotto@diputados.gob.ar   \n",
       "29           #007caf  diputados       gcarmona@diputados.gob.ar   \n",
       "..               ...        ...                             ...   \n",
       "234          #A6A6A6  diputados     asanmartin@diputados.gob.ar   \n",
       "235          #007caf  diputados     oamartinez@diputados.gob.ar   \n",
       "236          #A6A6A6  diputados     gboyadjian@diputados.gob.ar   \n",
       "237          #007caf  diputados       ncarrizo@diputados.gob.ar   \n",
       "238          #007caf  diputados        mgomezb@diputados.gob.ar   \n",
       "239          #007caf  diputados        tmadera@diputados.gob.ar   \n",
       "240          #007caf  diputados       vmagario@diputados.gob.ar   \n",
       "241          #007caf  diputados      eseminara@diputados.gob.ar   \n",
       "242          #007caf  diputados        htentor@diputados.gob.ar   \n",
       "243          #007caf  diputados       ntomassi@diputados.gob.ar   \n",
       "244          #A6A6A6  diputados       mvillarm@diputados.gob.ar   \n",
       "245          #8eab35  diputados       ccarrizo@diputados.gob.ar   \n",
       "246          #8eab35  diputados     jdagostino@diputados.gob.ar   \n",
       "247          #8eab35  diputados       pgimenez@diputados.gob.ar   \n",
       "248          #8eab35  diputados      holivares@diputados.gob.ar   \n",
       "249          #8eab35  diputados        msemhan@diputados.gob.ar   \n",
       "250          #b185b7  diputados   mdalessandro@diputados.gob.ar   \n",
       "251          #b185b7  diputados          hdaer@diputados.gob.ar   \n",
       "252          #b185b7  diputados     rgiustozzi@diputados.gob.ar   \n",
       "253          #fbd95b  diputados  fsturzenegger@diputados.gob.ar   \n",
       "254          #fbd95b  diputados  mtorresdelsel@diputados.gob.ar   \n",
       "255          #b185b7  diputados        mtundis@diputados.gob.ar   \n",
       "256          #fbd95b  diputados       ecaceres@diputados.gob.ar   \n",
       "257          #007caf  diputados                                   \n",
       "258          #fbd95b  diputados     csliermann@diputados.gob.ar   \n",
       "259          #fbd95b  diputados                                   \n",
       "260                   diputados                                   \n",
       "261                   diputados                                   \n",
       "262          #8eab35  diputados                                   \n",
       "263          #007caf  diputados      aferreyra@diputados.gob.ar   \n",
       "\n",
       "                                    nombre                       partido  \n",
       "0       Abdala de Matarazzo,  Norma Amanda    FRENTE CÍVICO POR SANTIAGO  \n",
       "1                       Aguad,  Oscar Raúl          UNIÓN CÍVICA RADICAL  \n",
       "2                    AGUILAR,  Lino Walter              FRENTE PERONISTA  \n",
       "3                  ALFONSÍN,  Ricardo Luis          UNIÓN CÍVICA RADICAL  \n",
       "4                           ALONSO,  Laura                           PRO  \n",
       "5                       ALONSO,  María Luz       FRENTE PARA LA VICTORIA  \n",
       "6                 ARGUMEDO,  Alcira Susana                  PROYECTO SUR  \n",
       "7                 ARREGUI,  Andrés Roberto       FRENTE PARA LA VICTORIA  \n",
       "8                  ASSEFF,  Alberto Emilio              FRENTE PERONISTA  \n",
       "9                         AVOSCÁN,  Herman       FRENTE PARA LA VICTORIA  \n",
       "10                   BALCEDO,  María Ester       FRENTE PARA LA VICTORIA  \n",
       "11                BARCHETTA,  Omar Segundo            PARTIDO SOCIALISTA  \n",
       "12                 BASTERRA,  Luis Eugenio       FRENTE PARA LA VICTORIA  \n",
       "13                    BAZZE,  Miguel Ángel          UNIÓN CÍVICA RADICAL  \n",
       "14                    BEDANO,  Nora Esther       FRENTE PARA LA VICTORIA  \n",
       "15                   BIANCHI,  Ivana María              FRENTE PERONISTA  \n",
       "16              BIANCHI,  María del Carmen       FRENTE PARA LA VICTORIA  \n",
       "17              BIDEGAIN,  Gloria Mercedes       FRENTE PARA LA VICTORIA  \n",
       "18           BIELLA CALVET,  Bernardo José                U.DE.SO. SALTA  \n",
       "19                         BINNER,  Hermes            PARTIDO SOCIALISTA  \n",
       "20                           BRAWER,  Mara       FRENTE PARA LA VICTORIA  \n",
       "21               BROMBERG,  Isaac Benjamín       FRENTE PARA LA VICTORIA  \n",
       "22                    BROWN,  Carlos Ramón              FRENTE PERONISTA  \n",
       "23                     BULLRICH,  Patricia               UNIÓN POR TODOS  \n",
       "24                      BURYAILE,  Ricardo          UNIÓN CÍVICA RADICAL  \n",
       "25                         CALCAGNO,  Eric       FRENTE PARA LA VICTORIA  \n",
       "26                       CAMAÑO,  Graciela              FRENTE PERONISTA  \n",
       "27                CANELA,  Susana Mercedes       FRENTE PARA LA VICTORIA  \n",
       "28                 CARLOTTO,  Remo Gerardo       FRENTE PARA LA VICTORIA  \n",
       "29               CARMONA,  Guillermo Ramón       FRENTE PARA LA VICTORIA  \n",
       "..                                     ...                           ...  \n",
       "234                    san martín,  adrián   MOVIMIENTO POPULAR NEUQUINO  \n",
       "235               martínez,  oscar anselmo  MOVIMIENTO SOLIDARIO POPULAR  \n",
       "236            boyadjian,  graciela eunice   MOVIMIENTO POPULAR FUEGUINO  \n",
       "237                  CARRIZO,  NILDA MABEL       FRENTE PARA LA VICTORIA  \n",
       "238                  GÓMEZ BULL,  MAURICIO       FRENTE PARA LA VICTORIA  \n",
       "239                      MADERA,  TERESITA       FRENTE PARA LA VICTORIA  \n",
       "240                     MAGARIO,  VERÓNICA       FRENTE PARA LA VICTORIA  \n",
       "241               SEMINARA,  EDUARDO JORGE       FRENTE PARA LA VICTORIA  \n",
       "242                        TENTOR,  HÉCTOR       FRENTE PARA LA VICTORIA  \n",
       "243                       TOMASSI,  NÉSTOR       FRENTE PARA LA VICTORIA  \n",
       "244             VILLAR MOLINA,  MARÍA INÉS   MOVIMIENTO POPULAR NEUQUINO  \n",
       "245                    CARRIZO,  ANA CARLA          UNIÓN CÍVICA RADICAL  \n",
       "246                     D'AGOSTINO,  JORGE          UNIÓN CÍVICA RADICAL  \n",
       "247                     GIMÉNEZ,  PATRICIA          UNIÓN CÍVICA RADICAL  \n",
       "248              OLIVARES,  HÉCTOR ENRIQUE          UNIÓN CÍVICA RADICAL  \n",
       "249         SEMHAN,  MARÍA DE LAS MERCEDES          UNIÓN CÍVICA RADICAL  \n",
       "250                 D'ALESSANDRO,  MARCELO              FRENTE RENOVADOR  \n",
       "251                  DAER,  HÉCTOR RICARDO              FRENTE RENOVADOR  \n",
       "252                      GIUSTOZZI,  DARÍO              FRENTE RENOVADOR  \n",
       "253                STURZENEGGER,  FEDERICO                     UNIÓN PRO  \n",
       "254                TORRES DEL SEL,  MIGUEL                     UNIÓN PRO  \n",
       "255                         TUNDIS,  MIRTA              FRENTE RENOVADOR  \n",
       "256                      CÁCERES,  EDUARDO                     UNIÓN PRO  \n",
       "257               BERNABEY,  RAMÓN ERNESTO             NO INTEGRA BLOQUE  \n",
       "258             Schmidt Liermann, Cornelia                           PRO  \n",
       "259                      Laspina,  Luciano                     UNIÓN PRO  \n",
       "260             Pasini, Ariel Osvaldo Eloy       FRENTE PARA LA VICTORIA  \n",
       "261                       Bregman,  Myriam     PTS - FRENTE DE IZQUIERDA  \n",
       "262      Fernández Blanco,  MarÍA Cristina          UNIÓN CÍVICA RADICAL  \n",
       "263  Ferreyra,  Araceli Susana Del Rosario                                \n",
       "\n",
       "[264 rows x 10 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pc_member"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('', '')\n",
      "('Izquierda', '#D23939')\n",
      "('Kirchnerismo y aliados', '#007caf')\n",
      "('Massismo y aliados', '#b185b7')\n",
      "('Otros', '#A6A6A6')\n",
      "('Peronismo no kirchnerista', '#f6a619')\n",
      "('Pro y aliados', '#fbd95b')\n",
      "('UNEN - FAP - UCR', '#8eab35')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "8"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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DDdu8stLSbJPshBBE7PvRSIKC4SGdy3dPMDFmMbdQYGJigv379wOgO8eJOg8C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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117ddefd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "x = np.array(X_reduced.T[0, :]).astype('float')\n",
    "y = np.array(X_reduced.T[1, :]).astype('float')\n",
    "z = np.array(X_reduced.T[2, :]).astype('float')\n",
    "\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "for (gname, group) in df_pc_member.groupby(['agrupacion', 'agrupacion_color']):\n",
    "    print(gname)\n",
    "    if gname == ('', ''):\n",
    "        gname = ('null', '#000000')\n",
    "    ax.scatter(group['PC1'], group['PC2'], group['PC3'], color=gname[1], label=gname[0])\n",
    "#ax.scatter(x, y, z, picker=True, s=100)\n",
    "\n",
    "def onpick(X_3D, event):\n",
    "    #print(event)\n",
    "    if hasattr(onpick, '_label'):\n",
    "        #pass\n",
    "        onpick._label.remove()\n",
    "    thisline = event.artist\n",
    "    ind = event.ind\n",
    "    #print(type(ind))\n",
    "    #print(X_3D[0, ind])\n",
    "    names = df_matrix.iloc[ind].index.values\n",
    "    #print(names)\n",
    "    label = ('\\n'.join(names))\n",
    "    pos = (X_3D[0, ind[0]], X_3D[1, ind[0]], X_3D[2, ind[0]])\n",
    "    #onpick._label = ax.set_title(label\n",
    "    onpick._label = ax.text(*pos, s=label)\n",
    "    fig.canvas.draw()\n",
    "    \n",
    "fig.canvas.mpl_connect('pick_event', lambda e: onpick(X_reduced.T, e))"
   ]
  }
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