clustering.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "from src.parser.document_parser import DocumentParser\n",
    "from src.tokenizer.tokenizer_driver import TokenizerDriver\n",
    "from src.featurizer.feature_extractor import FeatureExtractor\n",
    "from src.cluster.kmeans_cluster import KmeansCluter\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "REPORTS_PATH = \"data/demo_reports/\"\n",
    "\n",
    "doc_parser = DocumentParser(REPORTS_PATH)\n",
    "tok_driver = TokenizerDriver()\n",
    "featurizer = FeatureExtractor()\n",
    "claim_sents = doc_parser.parse_documents()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of claims:  4504\n",
      "[The Paris Agreement on climate change, which entered into force in November 2016,\n",
      "is at its heart an agreement about energy., Transformative change in the energy sector,\n",
      "the source of at least two-thirds of greenhouse-gas emissions, is essential to reach the\n",
      "objectives of the Agreement., Growth in energy-related CO2 emissions stalled\n",
      "completely in 2015., This was mainly due to a 1.8% improvement in the energy intensity of\n",
      "the global economy, a trend bolstered by gains in energy efficiency, as well as the expanded\n",
      "use of cleaner energy sources worldwide, mostly renewables., An increasing slice of the\n",
      "roughly $1.8 trillion of investment each year in the energy sector has been attracted to\n",
      "clean energy, at a time when investment in upstream oil and gas has fallen sharply., The\n",
      "value of fossil-fuel consumption subsidies dropped in 2015 to $325 billion, from almost\n",
      "$500 billion the previous year, reflecting lower fossil-fuel prices but also a subsidy reform\n",
      "process that has gathered momentum in several countries.\n",
      ", This is the task that the\n",
      "World Energy Outlook (WEO) takes up in different scenarios and case studies, with the\n",
      "additional opportunity in 2016 to provide the first comprehensive examination of the\n",
      "new era opened up by the Paris Agreement., All the Paris climate pledges, covering some\n",
      "190 countries, have been examined in detail and incorporated into our main scenario.\n",
      ", More stringent decarbonisation options examined in WEO-2016 include not only the\n",
      "450 Scenario (consistent with a 50% chance of limiting global warming to 2 °C) but also a\n",
      "first examination of pathways that could limit warming further.\n",
      "\n",
      ", © OECD/IEA, 2016\n",
      "\n",
      "]\n"
     ]
    }
   ],
   "source": [
    "print(\"Number of claims: \", len(claim_sents))\n",
    "print(claim_sents[:10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "tokenized_sents = tok_driver.tokenize_claims(claim_sents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "features = featurizer.featurize_claims(tokenized_sents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Claims Num: 4504, Clusters Num: 4504\n"
     ]
    }
   ],
   "source": [
    "kmeans_cluster = KmeansCluter()\n",
    "clusters = kmeans_cluster.get_clusters(features)\n",
    "claims_cluster_df = kmeans_cluster.get_claims_cluster_df(tokenized_sents)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>claim</th>\n",
       "      <th>cluster</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>paris agreement climate change entered force n...</td>\n",
       "      <td>14</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>transformative change energy sector source thi...</td>\n",
       "      <td>14</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>growth energy related co2 emissions stalled co...</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mainly 1.8 improvement energy intensity global...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>increasing slice roughly $ 1.8 trillion invest...</td>\n",
       "      <td>14</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>value fossil fuel consumption subsidies droppe...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>task world energy outlook weo takes different ...</td>\n",
       "      <td>14</td>\n",
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       "      <th>7</th>\n",
       "      <td>paris climate pledges covering 190 countries e...</td>\n",
       "      <td>14</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>stringent decarbonisation options examined weo...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>© oecd iea 2016 \\n\\n</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>main scenario 30 rise global energy demand 204...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>hundreds millions people left 2040 basic energ...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>natural gas fares best fossil fuels consumptio...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>growth oil demand slows projection period tops...</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>total demand oecd countries declining path geo...</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>half billion people increasingly concentrated ...</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1.8 billion remain reliant solid biomass cooki...</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>’s 2.7 billion means continued exposure smoky ...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>cumulative $ 44 trillion investment needed glo...</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>extra $ 23 trillion required improvements ener...</td>\n",
       "      <td>14</td>\n",
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       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>compared period 20002015 close 70 total supply...</td>\n",
       "      <td>14</td>\n",
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       "      <th>21</th>\n",
       "      <td>case oil equivalent losing current output iraq...</td>\n",
       "      <td>14</td>\n",
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       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>large share future investment renewables based...</td>\n",
       "      <td>17</td>\n",
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       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>increased share spending capital intensive tec...</td>\n",
       "      <td>14</td>\n",
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       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>© oecd iea 2016 \\n\\n</td>\n",
       "      <td>9</td>\n",
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       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>countries generally track achieve exceed insta...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>energy demand sectors past high point projecte...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>china ’s power generation comes sources coal s...</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>india coal ’s share power mix drops 75 55 peri...</td>\n",
       "      <td>1</td>\n",
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       "      <th>29</th>\n",
       "      <td>continued focus timely implementation pledges ...</td>\n",
       "      <td>14</td>\n",
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       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <th>4474</th>\n",
       "      <td>icct international council clean transport 201...</td>\n",
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       "      <th>4476</th>\n",
       "      <td>2017d policy measures energy efficiency databa...</td>\n",
       "      <td>14</td>\n",
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       "    <tr>\n",
       "      <th>4477</th>\n",
       "      <td>www.iea.org/ \\n\\n 2016 world energy outlook-20...</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4478</th>\n",
       "      <td>2016 2017 benchmark policy reports https://map...</td>\n",
       "      <td>14</td>\n",
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       "      <th>4479</th>\n",
       "      <td>iip institute industrial productivity 2017 ind...</td>\n",
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       "    <tr>\n",
       "      <th>4480</th>\n",
       "      <td>http://iepd.iipnetwork.org/. \\n\\n © oecd iea 2...</td>\n",
       "      <td>14</td>\n",
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       "    <tr>\n",
       "      <th>4481</th>\n",
       "      <td>empirical reality sustainable management failu...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4482</th>\n",
       "      <td>234 240</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4483</th>\n",
       "      <td>memr ministry energy mineral resources indones...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4484</th>\n",
       "      <td>way forward oil gas development indonesia http...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4485</th>\n",
       "      <td>145 \\n\\n c \\n\\n\f",
       " mindanao development authorit...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4486</th>\n",
       "      <td>mindanao sees uptrend renewable energy project...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4487</th>\n",
       "      <td>ministry mines energy cambodia 2016 current st...</td>\n",
       "      <td>14</td>\n",
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       "    <tr>\n",
       "      <th>4488</th>\n",
       "      <td>nai c. 2015 power interconnections greater mek...</td>\n",
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       "      <th>4489</th>\n",
       "      <td>national institute statistics cambodia 2015 ca...</td>\n",
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       "    <tr>\n",
       "      <th>4490</th>\n",
       "      <td>www.nis.gov.kh/index.php/en/14-cses/12-cambodi...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4491</th>\n",
       "      <td>nea national electrification administration 20...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4492</th>\n",
       "      <td>npc national power corporation philippines 201...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4493</th>\n",
       "      <td>odysee mure 2017 mure database</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4494</th>\n",
       "      <td>www.odyssee-mure.eu accessed 11 july 2017</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4495</th>\n",
       "      <td>siemens 2015 minimum energy performance standa...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4496</th>\n",
       "      <td>2017 www</td>\n",
       "      <td>14</td>\n",
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       "    <tr>\n",
       "      <th>4497</th>\n",
       "      <td>© oecd iea 2017 \\n\\n world bank 2015</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4498</th>\n",
       "      <td>electricity transform rural myanmar www.worldb...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4499</th>\n",
       "      <td>146 \\n\\n world energy outlook 2017</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4500</th>\n",
       "      <td>s 2 nt \\n\\n erg</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4501</th>\n",
       "      <td>www.oecd.org/about/publishing/corrigenda.htm \\...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4502</th>\n",
       "      <td>association southeast asian nations asean</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4503</th>\n",
       "      <td>region ’s energy demand h supply outlook 2040 ...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4504 rows × 2 columns</p>\n",
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      ],
      "text/plain": [
       "                                                  claim cluster\n",
       "0     paris agreement climate change entered force n...      14\n",
       "1     transformative change energy sector source thi...      14\n",
       "2     growth energy related co2 emissions stalled co...       1\n",
       "3     mainly 1.8 improvement energy intensity global...      14\n",
       "4     increasing slice roughly $ 1.8 trillion invest...      14\n",
       "5     value fossil fuel consumption subsidies droppe...      14\n",
       "6     task world energy outlook weo takes different ...      14\n",
       "7     paris climate pledges covering 190 countries e...      14\n",
       "8     stringent decarbonisation options examined weo...      14\n",
       "9                                  © oecd iea 2016 \\n\\n       9\n",
       "10    main scenario 30 rise global energy demand 204...       1\n",
       "11    hundreds millions people left 2040 basic energ...      14\n",
       "12    natural gas fares best fossil fuels consumptio...      14\n",
       "13    growth oil demand slows projection period tops...      16\n",
       "14    total demand oecd countries declining path geo...       5\n",
       "15    half billion people increasingly concentrated ...      11\n",
       "16    1.8 billion remain reliant solid biomass cooki...      11\n",
       "17    ’s 2.7 billion means continued exposure smoky ...      14\n",
       "18    cumulative $ 44 trillion investment needed glo...       7\n",
       "19    extra $ 23 trillion required improvements ener...      14\n",
       "20    compared period 20002015 close 70 total supply...      14\n",
       "21    case oil equivalent losing current output iraq...      14\n",
       "22    large share future investment renewables based...      17\n",
       "23    increased share spending capital intensive tec...      14\n",
       "24                                 © oecd iea 2016 \\n\\n       9\n",
       "25    countries generally track achieve exceed insta...      14\n",
       "26    energy demand sectors past high point projecte...       1\n",
       "27    china ’s power generation comes sources coal s...       7\n",
       "28    india coal ’s share power mix drops 75 55 peri...       1\n",
       "29    continued focus timely implementation pledges ...      14\n",
       "...                                                 ...     ...\n",
       "4474  icct international council clean transport 201...      14\n",
       "4475  2017a energy technlogy perspectives 2017 oecd ...      14\n",
       "4476  2017d policy measures energy efficiency databa...      14\n",
       "4477  www.iea.org/ \\n\\n 2016 world energy outlook-20...       6\n",
       "4478  2016 2017 benchmark policy reports https://map...      14\n",
       "4479  iip institute industrial productivity 2017 ind...      14\n",
       "4480  http://iepd.iipnetwork.org/. \\n\\n © oecd iea 2...      14\n",
       "4481  empirical reality sustainable management failu...      14\n",
       "4482                                            234 240      14\n",
       "4483  memr ministry energy mineral resources indones...      14\n",
       "4484  way forward oil gas development indonesia http...      14\n",
       "4485  145 \\n\\n c \\n\\n\n",
       " mindanao development authorit...      14\n",
       "4486  mindanao sees uptrend renewable energy project...      14\n",
       "4487  ministry mines energy cambodia 2016 current st...      14\n",
       "4488  nai c. 2015 power interconnections greater mek...      14\n",
       "4489  national institute statistics cambodia 2015 ca...      14\n",
       "4490  www.nis.gov.kh/index.php/en/14-cses/12-cambodi...      14\n",
       "4491  nea national electrification administration 20...      14\n",
       "4492  npc national power corporation philippines 201...      14\n",
       "4493                     odysee mure 2017 mure database      14\n",
       "4494          www.odyssee-mure.eu accessed 11 july 2017      14\n",
       "4495  siemens 2015 minimum energy performance standa...      14\n",
       "4496                                           2017 www      14\n",
       "4497               © oecd iea 2017 \\n\\n world bank 2015      13\n",
       "4498  electricity transform rural myanmar www.worldb...      14\n",
       "4499                 146 \\n\\n world energy outlook 2017       6\n",
       "4500                                    s 2 nt \\n\\n erg      14\n",
       "4501  www.oecd.org/about/publishing/corrigenda.htm \\...      14\n",
       "4502          association southeast asian nations asean      14\n",
       "4503  region ’s energy demand h supply outlook 2040 ...       1\n",
       "\n",
       "[4504 rows x 2 columns]"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "claims_cluster_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "grouped_cluster_df = claims_cluster_df.groupby(\"cluster\").size().reset_index(name=\"count\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>2265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    cluster  count\n",
       "0         0     78\n",
       "1         1    281\n",
       "2         2    162\n",
       "3         3     55\n",
       "4         4    313\n",
       "5         5    179\n",
       "6         6    126\n",
       "7         7    270\n",
       "8         8     20\n",
       "9         9     93\n",
       "10       10     50\n",
       "11       11    140\n",
       "12       12     61\n",
       "13       13     34\n",
       "14       14   2265\n",
       "15       15     69\n",
       "16       16    185\n",
       "17       17    123"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_cluster_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "#sample 5 random claims from each cluster \n",
    "samples_by_cluster_df = claims_cluster_df.groupby(\"cluster\").apply(lambda x: x.sample(n=5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>claim</th>\n",
       "      <th>cluster</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cluster</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">0</th>\n",
       "      <th>1091</th>\n",
       "      <td>13.9 \\n\\n 11.7 \\n\\n 10.8 \\n\\n 9.8 \\n\\n 9.0 \\n\\...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3880</th>\n",
       "      <td>additional demand current consumers \\n\\n 3 \\n\\...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3526</th>\n",
       "      <td>efficiency improvements energy demand 10 highe...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>958</th>\n",
       "      <td>-20 \\n\\n -10 \\n\\n 0 \\n\\n 10 \\n\\n 20 \\n\\n indus...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>new granular model power market developed spec...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">1</th>\n",
       "      <th>2861</th>\n",
       "      <td>80 \\n\\n 15 \\n\\n 60 \\n\\n non oecd electricity d...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2975</th>\n",
       "      <td>primary energy demand increased 70 2000 coal a...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3442</th>\n",
       "      <td>rate growth annual average 3.7 roughly twice f...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2964</th>\n",
       "      <td>demand mobility today heavily correlated consu...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2858</th>\n",
       "      <td>notwithstanding rapid growth electricity provi...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2</th>\n",
       "      <th>2469</th>\n",
       "      <td>2016 \\n\\n focus china net exporter coal</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2537</th>\n",
       "      <td>mt \\n\\n 190 mtce \\n\\n 2 966 twh \\n\\n 100 \\n\\n ...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4384</th>\n",
       "      <td>twh \\n\\n million tonnes oil equivalent million...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2151</th>\n",
       "      <td>coal ’s share china ’s energy mix drops thirds...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2331</th>\n",
       "      <td>lignite primarily produced european union russ...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">3</th>\n",
       "      <th>1822</th>\n",
       "      <td>b asia \\n\\n 200 150 100 50 15 \\n\\n dollars mwh...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2475</th>\n",
       "      <td>300 \\n\\n 200 \\n\\n 100 \\n\\n</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1243</th>\n",
       "      <td>cost comparison bevs assumed range 200 km 2015...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2443</th>\n",
       "      <td>furnace \\n\\n 1 200 \\n\\n</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2303</th>\n",
       "      <td>1 200 \\n\\n 1 800 \\n\\n 2 400 \\n\\n 3 000 \\n\\n mt...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">4</th>\n",
       "      <th>1675</th>\n",
       "      <td>result prior 2030 operators invest assumption ...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4174</th>\n",
       "      <td>sustainable development scenario switch tradit...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699</th>\n",
       "      <td>taken supply gap 450 scenario needs filled new...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>new policies scenario \\n\\n current policies sc...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>new policies scenario net importing countries ...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">5</th>\n",
       "      <th>2936</th>\n",
       "      <td>2017 \\n\\n  future energy trends southeast asi...</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4328</th>\n",
       "      <td>annex | southeast asia projections \\n\\n 135 \\n\\n</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3010</th>\n",
       "      <td>signs rapid rise coal fired capacity tripled 2...</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3483</th>\n",
       "      <td>efforts governments southeast asia rebalance g...</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3508</th>\n",
       "      <td>reflecting economic development demographic ch...</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">12</th>\n",
       "      <th>1815</th>\n",
       "      <td>global energy trends \\n\\n\f",
       " figure 4.6 ⊳</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>global energy trends \\n\\n\f",
       " figure 2.7 ⊳</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1058</th>\n",
       "      <td>global energy trends \\n\\n\f",
       " box 3.1 ⊳</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>835</th>\n",
       "      <td>global energy trends \\n\\n\f",
       " improved biomass co...</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>715</th>\n",
       "      <td>competitive markets investments responding mar...</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">13</th>\n",
       "      <th>3527</th>\n",
       "      <td>industry4 \\n\\n © oecd iea 2017 \\n\\n</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3496</th>\n",
       "      <td>© oecd iea 2017 \\n\\n</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3705</th>\n",
       "      <td>© oecd iea 2017 \\n\\n</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3544</th>\n",
       "      <td>100 \\n\\n © oecd iea 2017 \\n\\n 2016 \\n\\n 2040</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4232</th>\n",
       "      <td>\\n\\n © oecd iea 2017 \\n\\n energy demand mtoe \\...</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">14</th>\n",
       "      <th>1800</th>\n",
       "      <td>additional 2040 \\n\\n middle east china</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3908</th>\n",
       "      <td>values fossil fuels account regional differenc...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>liquid petroleum based fuels feeding internal ...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1241</th>\n",
       "      <td>united states \\n\\n 2015 2040</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>net trend oecd countries consume energy 2040 t...</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">15</th>\n",
       "      <th>4368</th>\n",
       "      <td>6 \\n\\n 7 \\n\\n 9 \\n\\n 9 \\n\\n 16 \\n\\n 27 \\n\\n 2 ...</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3647</th>\n",
       "      <td>0.5 \\n\\n 2016 \\n\\n 2025 \\n\\n 2030 \\n\\n 2035 \\n...</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3874</th>\n",
       "      <td>myanmar 2000 \\n\\n 2016 \\n\\n 2020 \\n\\n 2030 \\n\\...</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2333</th>\n",
       "      <td>2025 \\n\\n 2030 \\n\\n 2035 \\n\\n 2040 \\n\\n 1 381 ...</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2697</th>\n",
       "      <td>caagr 2014 2040 \\n\\n 2020 \\n\\n 2025 \\n\\n 2030 ...</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">16</th>\n",
       "      <th>1336</th>\n",
       "      <td>production 2040 exceed 8 mb d resources high f...</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1471</th>\n",
       "      <td>largest north america disappears list crude oi...</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3645</th>\n",
       "      <td>mb d \\n\\n figure 2.11</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1306</th>\n",
       "      <td>canada currently 0.35 mb d tight oil productio...</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1636</th>\n",
       "      <td>significant tranche oil production period 2040...</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">17</th>\n",
       "      <th>2643</th>\n",
       "      <td>time 2015 additions renewables based generatin...</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3464</th>\n",
       "      <td>solar pv wind generation capacity increases fa...</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4335</th>\n",
       "      <td>wind \\n\\n \\n\\n 1 \\n\\n 1 \\n\\n 13 \\n\\n 22 \\n\\n 3...</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>903</th>\n",
       "      <td>99 \\n\\n 2 \\n\\n\f",
       " 2015 pushes attain target 175 ...</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2783</th>\n",
       "      <td>wind solar expand 10 500 twh generation 4 toda...</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>90 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                          claim cluster\n",
       "cluster                                                                \n",
       "0       1091  13.9 \\n\\n 11.7 \\n\\n 10.8 \\n\\n 9.8 \\n\\n 9.0 \\n\\...       0\n",
       "        3880  additional demand current consumers \\n\\n 3 \\n\\...       0\n",
       "        3526  efficiency improvements energy demand 10 highe...       0\n",
       "        958   -20 \\n\\n -10 \\n\\n 0 \\n\\n 10 \\n\\n 20 \\n\\n indus...       0\n",
       "        177   new granular model power market developed spec...       0\n",
       "1       2861  80 \\n\\n 15 \\n\\n 60 \\n\\n non oecd electricity d...       1\n",
       "        2975  primary energy demand increased 70 2000 coal a...       1\n",
       "        3442  rate growth annual average 3.7 roughly twice f...       1\n",
       "        2964  demand mobility today heavily correlated consu...       1\n",
       "        2858  notwithstanding rapid growth electricity provi...       1\n",
       "2       2469            2016 \\n\\n focus china net exporter coal       2\n",
       "        2537  mt \\n\\n 190 mtce \\n\\n 2 966 twh \\n\\n 100 \\n\\n ...       2\n",
       "        4384  twh \\n\\n million tonnes oil equivalent million...       2\n",
       "        2151  coal ’s share china ’s energy mix drops thirds...       2\n",
       "        2331  lignite primarily produced european union russ...       2\n",
       "3       1822  b asia \\n\\n 200 150 100 50 15 \\n\\n dollars mwh...       3\n",
       "        2475                         300 \\n\\n 200 \\n\\n 100 \\n\\n       3\n",
       "        1243  cost comparison bevs assumed range 200 km 2015...       3\n",
       "        2443                            furnace \\n\\n 1 200 \\n\\n       3\n",
       "        2303  1 200 \\n\\n 1 800 \\n\\n 2 400 \\n\\n 3 000 \\n\\n mt...       3\n",
       "4       1675  result prior 2030 operators invest assumption ...       4\n",
       "        4174  sustainable development scenario switch tradit...       4\n",
       "        699   taken supply gap 450 scenario needs filled new...       4\n",
       "        393   new policies scenario \\n\\n current policies sc...       4\n",
       "        187   new policies scenario net importing countries ...       4\n",
       "5       2936  2017 \\n\\n  future energy trends southeast asi...       5\n",
       "        4328   annex | southeast asia projections \\n\\n 135 \\n\\n       5\n",
       "        3010  signs rapid rise coal fired capacity tripled 2...       5\n",
       "        3483  efforts governments southeast asia rebalance g...       5\n",
       "        3508  reflecting economic development demographic ch...       5\n",
       "...                                                         ...     ...\n",
       "12      1815          global energy trends \\n\\n\n",
       " figure 4.6 ⊳        12\n",
       "        565           global energy trends \\n\\n\n",
       " figure 2.7 ⊳        12\n",
       "        1058             global energy trends \\n\\n\n",
       " box 3.1 ⊳        12\n",
       "        835   global energy trends \\n\\n\n",
       " improved biomass co...      12\n",
       "        715   competitive markets investments responding mar...      12\n",
       "13      3527                industry4 \\n\\n © oecd iea 2017 \\n\\n      13\n",
       "        3496                               © oecd iea 2017 \\n\\n      13\n",
       "        3705                               © oecd iea 2017 \\n\\n      13\n",
       "        3544       100 \\n\\n © oecd iea 2017 \\n\\n 2016 \\n\\n 2040      13\n",
       "        4232  \\n\\n © oecd iea 2017 \\n\\n energy demand mtoe \\...      13\n",
       "14      1800             additional 2040 \\n\\n middle east china      14\n",
       "        3908  values fossil fuels account regional differenc...      14\n",
       "        331   liquid petroleum based fuels feeding internal ...      14\n",
       "        1241                       united states \\n\\n 2015 2040      14\n",
       "        400   net trend oecd countries consume energy 2040 t...      14\n",
       "15      4368  6 \\n\\n 7 \\n\\n 9 \\n\\n 9 \\n\\n 16 \\n\\n 27 \\n\\n 2 ...      15\n",
       "        3647  0.5 \\n\\n 2016 \\n\\n 2025 \\n\\n 2030 \\n\\n 2035 \\n...      15\n",
       "        3874  myanmar 2000 \\n\\n 2016 \\n\\n 2020 \\n\\n 2030 \\n\\...      15\n",
       "        2333  2025 \\n\\n 2030 \\n\\n 2035 \\n\\n 2040 \\n\\n 1 381 ...      15\n",
       "        2697  caagr 2014 2040 \\n\\n 2020 \\n\\n 2025 \\n\\n 2030 ...      15\n",
       "16      1336  production 2040 exceed 8 mb d resources high f...      16\n",
       "        1471  largest north america disappears list crude oi...      16\n",
       "        3645                              mb d \\n\\n figure 2.11      16\n",
       "        1306  canada currently 0.35 mb d tight oil productio...      16\n",
       "        1636  significant tranche oil production period 2040...      16\n",
       "17      2643  time 2015 additions renewables based generatin...      17\n",
       "        3464  solar pv wind generation capacity increases fa...      17\n",
       "        4335  wind \\n\\n \\n\\n 1 \\n\\n 1 \\n\\n 13 \\n\\n 22 \\n\\n 3...      17\n",
       "        903   99 \\n\\n 2 \\n\\n\n",
       " 2015 pushes attain target 175 ...      17\n",
       "        2783  wind solar expand 10 500 twh generation 4 toda...      17\n",
       "\n",
       "[90 rows x 2 columns]"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "samples_by_cluster_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = list(grouped_cluster_df.index)\n",
    "sizes = list(grouped_cluster_df[\"count\"])\n",
    "fig1, ax1 = plt.subplots()\n",
    "fig1.set_size_inches(15,15)\n",
    "ax1.pie(sizes, labels=labels, autopct='%1.1f%%', shadow=True, startangle=90, radius=51)\n",
    "ax1.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.\n",
    "plt.savefig(\"plots/tfidf_kmeans_18clusters.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "samples_by_cluster_df.to_csv(\"data/clustering/tfidf_kmeans_5random_samples.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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  "latex_envs": {
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