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  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## Interbank exposure networks"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd\n",
      "import networkx as nx"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Read debt exposure data from prepared excel file"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The Excel file was generated as a query from the [BIS - Bank of International Settlements](http://stats.bis.org/bis-stats-tool/org.bis.stats.ui.StatsApplication/StatsApplication.html)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "\n",
      "\n",
      "df = pd.read_excel(\"exposures/WEBSTATS_CIBL_1405690253612.xlsx\", \"Sheet1\", skiprows=15)\n",
      "import re\n",
      "df = df[[col for col in df.columns.values if not re.match('\\d\\d\\d\\d-Q\\d\\.\\d', col)]]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Counterparty location</th>\n",
        "      <th>Reporting country</th>\n",
        "      <th>2013-Q4</th>\n",
        "      <th>2013-Q3</th>\n",
        "      <th>2013-Q2</th>\n",
        "      <th>2013-Q1</th>\n",
        "      <th>2012-Q4</th>\n",
        "      <th>2012-Q3</th>\n",
        "      <th>2012-Q2</th>\n",
        "      <th>2012-Q1</th>\n",
        "      <th>...</th>\n",
        "      <th>2010-Q2</th>\n",
        "      <th>2010-Q1</th>\n",
        "      <th>2009-Q4</th>\n",
        "      <th>2009-Q3</th>\n",
        "      <th>2009-Q2</th>\n",
        "      <th>2009-Q1</th>\n",
        "      <th>2008-Q4</th>\n",
        "      <th>2008-Q3</th>\n",
        "      <th>2008-Q2</th>\n",
        "      <th>2008-Q1</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 3P:All countries</td>\n",
        "      <td>      5A:All reporting countries</td>\n",
        "      <td> 24972754</td>\n",
        "      <td> 25449148</td>\n",
        "      <td> 25040808</td>\n",
        "      <td> 25250972</td>\n",
        "      <td> 25454981</td>\n",
        "      <td> 25463002</td>\n",
        "      <td> 25119987</td>\n",
        "      <td> 25793807</td>\n",
        "      <td>...</td>\n",
        "      <td> 24702265</td>\n",
        "      <td> 25664038</td>\n",
        "      <td> 25726511</td>\n",
        "      <td> 26641935</td>\n",
        "      <td> 25901684</td>\n",
        "      <td> 24964104</td>\n",
        "      <td> 24964640</td>\n",
        "      <td> 28173608</td>\n",
        "      <td> 29808497</td>\n",
        "      <td> 30407569</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>              NaN</td>\n",
        "      <td> 5E:European reporting countries</td>\n",
        "      <td> 16382374</td>\n",
        "      <td> 16735088</td>\n",
        "      <td> 16424728</td>\n",
        "      <td> 16413240</td>\n",
        "      <td> 16628204</td>\n",
        "      <td> 16848608</td>\n",
        "      <td> 16816716</td>\n",
        "      <td> 17544823</td>\n",
        "      <td>...</td>\n",
        "      <td> 17515280</td>\n",
        "      <td> 18533064</td>\n",
        "      <td> 18781079</td>\n",
        "      <td> 19469503</td>\n",
        "      <td> 19432312</td>\n",
        "      <td> 18779947</td>\n",
        "      <td> 19843734</td>\n",
        "      <td> 22765116</td>\n",
        "      <td> 24214407</td>\n",
        "      <td> 24727384</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>              NaN</td>\n",
        "      <td>       5G:Non-European countries</td>\n",
        "      <td>  8590380</td>\n",
        "      <td>  8714060</td>\n",
        "      <td>  8616080</td>\n",
        "      <td>  8837732</td>\n",
        "      <td>  8826777</td>\n",
        "      <td>  8614394</td>\n",
        "      <td>  8303271</td>\n",
        "      <td>  8248984</td>\n",
        "      <td>...</td>\n",
        "      <td>      NaN</td>\n",
        "      <td>      NaN</td>\n",
        "      <td>      NaN</td>\n",
        "      <td>      NaN</td>\n",
        "      <td>      NaN</td>\n",
        "      <td>      NaN</td>\n",
        "      <td>      NaN</td>\n",
        "      <td>      NaN</td>\n",
        "      <td>      NaN</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>              NaN</td>\n",
        "      <td>                      AT:Austria</td>\n",
        "      <td>   421402</td>\n",
        "      <td>   435789</td>\n",
        "      <td>   429731</td>\n",
        "      <td>   415622</td>\n",
        "      <td>   426664</td>\n",
        "      <td>   428554</td>\n",
        "      <td>   425739</td>\n",
        "      <td>   451961</td>\n",
        "      <td>...</td>\n",
        "      <td>   464906</td>\n",
        "      <td>   516150</td>\n",
        "      <td>   523550</td>\n",
        "      <td>   511946</td>\n",
        "      <td>   491386</td>\n",
        "      <td>   467771</td>\n",
        "      <td>   492502</td>\n",
        "      <td>   553023</td>\n",
        "      <td>   586806</td>\n",
        "      <td>   603162</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>              NaN</td>\n",
        "      <td>                    AU:Australia</td>\n",
        "      <td>   738742</td>\n",
        "      <td>   703686</td>\n",
        "      <td>   747462</td>\n",
        "      <td>   722848</td>\n",
        "      <td>   732388</td>\n",
        "      <td>   693763</td>\n",
        "      <td>   700238</td>\n",
        "      <td>   686074</td>\n",
        "      <td>...</td>\n",
        "      <td>   515667</td>\n",
        "      <td>   511566</td>\n",
        "      <td>   514499</td>\n",
        "      <td>   495564</td>\n",
        "      <td>   477735</td>\n",
        "      <td>   400309</td>\n",
        "      <td>   425308</td>\n",
        "      <td>   464515</td>\n",
        "      <td>   480359</td>\n",
        "      <td>   484506</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>5 rows \u00d7 26 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "  Counterparty location                Reporting country   2013-Q4   2013-Q3  \\\n",
        "0      3P:All countries       5A:All reporting countries  24972754  25449148   \n",
        "1                   NaN  5E:European reporting countries  16382374  16735088   \n",
        "2                   NaN        5G:Non-European countries   8590380   8714060   \n",
        "3                   NaN                       AT:Austria    421402    435789   \n",
        "4                   NaN                     AU:Australia    738742    703686   \n",
        "\n",
        "    2013-Q2   2013-Q1   2012-Q4   2012-Q3   2012-Q2   2012-Q1    ...     \\\n",
        "0  25040808  25250972  25454981  25463002  25119987  25793807    ...      \n",
        "1  16424728  16413240  16628204  16848608  16816716  17544823    ...      \n",
        "2   8616080   8837732   8826777   8614394   8303271   8248984    ...      \n",
        "3    429731    415622    426664    428554    425739    451961    ...      \n",
        "4    747462    722848    732388    693763    700238    686074    ...      \n",
        "\n",
        "    2010-Q2   2010-Q1   2009-Q4   2009-Q3   2009-Q2   2009-Q1   2008-Q4  \\\n",
        "0  24702265  25664038  25726511  26641935  25901684  24964104  24964640   \n",
        "1  17515280  18533064  18781079  19469503  19432312  18779947  19843734   \n",
        "2       NaN       NaN       NaN       NaN       NaN       NaN       NaN   \n",
        "3    464906    516150    523550    511946    491386    467771    492502   \n",
        "4    515667    511566    514499    495564    477735    400309    425308   \n",
        "\n",
        "    2008-Q3   2008-Q2   2008-Q1  \n",
        "0  28173608  29808497  30407569  \n",
        "1  22765116  24214407  24727384  \n",
        "2       NaN       NaN       NaN  \n",
        "3    553023    586806    603162  \n",
        "4    464515    480359    484506  \n",
        "\n",
        "[5 rows x 26 columns]"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def clean_foreign_claims(foreign_claims):\n",
      "    foreign_claims.loc[:,'Counterparty location'] = foreign_claims.loc[:,'Counterparty location'].fillna(method='ffill')\n",
      "    foreign_claim_cp_blacklist = ['3P:All countries']\n",
      "    foreign_claim_rpt_blacklist = [u'5A:All reporting countries',\n",
      "                                   u'5E:European reporting countries',\n",
      "                                   u'5G:Non-European countries']\n",
      "\n",
      "    df1 = foreign_claims.ix[~foreign_claims.loc[:, 'Counterparty location'].isin(foreign_claim_cp_blacklist)]\n",
      "    df2 = df1.ix[~df1.loc[:, 'Reporting country'].isin(foreign_claim_rpt_blacklist)]\n",
      "    return df2\n",
      "foreign_claims = clean_foreign_claims(df)\n",
      "foreign_claims.head()\n",
      "\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Counterparty location</th>\n",
        "      <th>Reporting country</th>\n",
        "      <th>2013-Q4</th>\n",
        "      <th>2013-Q3</th>\n",
        "      <th>2013-Q2</th>\n",
        "      <th>2013-Q1</th>\n",
        "      <th>2012-Q4</th>\n",
        "      <th>2012-Q3</th>\n",
        "      <th>2012-Q2</th>\n",
        "      <th>2012-Q1</th>\n",
        "      <th>...</th>\n",
        "      <th>2010-Q2</th>\n",
        "      <th>2010-Q1</th>\n",
        "      <th>2009-Q4</th>\n",
        "      <th>2009-Q3</th>\n",
        "      <th>2009-Q2</th>\n",
        "      <th>2009-Q1</th>\n",
        "      <th>2008-Q4</th>\n",
        "      <th>2008-Q3</th>\n",
        "      <th>2008-Q2</th>\n",
        "      <th>2008-Q1</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>27</th>\n",
        "      <td> AT:Austria</td>\n",
        "      <td>   AU:Australia</td>\n",
        "      <td>    84</td>\n",
        "      <td>   65</td>\n",
        "      <td>  176</td>\n",
        "      <td>  363</td>\n",
        "      <td>  279</td>\n",
        "      <td>  237</td>\n",
        "      <td>  180</td>\n",
        "      <td>   269</td>\n",
        "      <td>...</td>\n",
        "      <td>   275</td>\n",
        "      <td>   212</td>\n",
        "      <td>   271</td>\n",
        "      <td>   253</td>\n",
        "      <td>   265</td>\n",
        "      <td>   348</td>\n",
        "      <td>  1191</td>\n",
        "      <td>   585</td>\n",
        "      <td>   272</td>\n",
        "      <td>   769</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>28</th>\n",
        "      <td> AT:Austria</td>\n",
        "      <td>     BE:Belgium</td>\n",
        "      <td>  1629</td>\n",
        "      <td> 1093</td>\n",
        "      <td> 1062</td>\n",
        "      <td>  799</td>\n",
        "      <td>  730</td>\n",
        "      <td>  960</td>\n",
        "      <td> 1010</td>\n",
        "      <td>  1249</td>\n",
        "      <td>...</td>\n",
        "      <td>  2749</td>\n",
        "      <td>  2918</td>\n",
        "      <td>  3068</td>\n",
        "      <td>  4510</td>\n",
        "      <td>  5117</td>\n",
        "      <td>  5426</td>\n",
        "      <td>  5117</td>\n",
        "      <td>  5554</td>\n",
        "      <td>  7369</td>\n",
        "      <td>  6814</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>29</th>\n",
        "      <td> AT:Austria</td>\n",
        "      <td>      CA:Canada</td>\n",
        "      <td>   362</td>\n",
        "      <td>  810</td>\n",
        "      <td> 1244</td>\n",
        "      <td> 1428</td>\n",
        "      <td> 1096</td>\n",
        "      <td> 1562</td>\n",
        "      <td> 1974</td>\n",
        "      <td>  1427</td>\n",
        "      <td>...</td>\n",
        "      <td>  1081</td>\n",
        "      <td>  1017</td>\n",
        "      <td>   891</td>\n",
        "      <td>   770</td>\n",
        "      <td>  1113</td>\n",
        "      <td>  1067</td>\n",
        "      <td>  1358</td>\n",
        "      <td>  1615</td>\n",
        "      <td>  3077</td>\n",
        "      <td>  2484</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>30</th>\n",
        "      <td> AT:Austria</td>\n",
        "      <td> CH:Switzerland</td>\n",
        "      <td> 16965</td>\n",
        "      <td> 8905</td>\n",
        "      <td> 7171</td>\n",
        "      <td> 8359</td>\n",
        "      <td> 8570</td>\n",
        "      <td> 8464</td>\n",
        "      <td> 8780</td>\n",
        "      <td> 10090</td>\n",
        "      <td>...</td>\n",
        "      <td> 10878</td>\n",
        "      <td> 12136</td>\n",
        "      <td> 11056</td>\n",
        "      <td> 13460</td>\n",
        "      <td> 12327</td>\n",
        "      <td> 16220</td>\n",
        "      <td> 13724</td>\n",
        "      <td> 18826</td>\n",
        "      <td> 18139</td>\n",
        "      <td> 19114</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>31</th>\n",
        "      <td> AT:Austria</td>\n",
        "      <td>       CL:Chile</td>\n",
        "      <td>     2</td>\n",
        "      <td>    3</td>\n",
        "      <td>    3</td>\n",
        "      <td>    3</td>\n",
        "      <td>    1</td>\n",
        "      <td>    0</td>\n",
        "      <td>    0</td>\n",
        "      <td>     0</td>\n",
        "      <td>...</td>\n",
        "      <td>     0</td>\n",
        "      <td>     0</td>\n",
        "      <td>     0</td>\n",
        "      <td>     2</td>\n",
        "      <td>     0</td>\n",
        "      <td>     1</td>\n",
        "      <td>     2</td>\n",
        "      <td>     0</td>\n",
        "      <td>     0</td>\n",
        "      <td>     0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>5 rows \u00d7 26 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 16,
       "text": [
        "   Counterparty location Reporting country  2013-Q4  2013-Q3  2013-Q2  \\\n",
        "27            AT:Austria      AU:Australia       84       65      176   \n",
        "28            AT:Austria        BE:Belgium     1629     1093     1062   \n",
        "29            AT:Austria         CA:Canada      362      810     1244   \n",
        "30            AT:Austria    CH:Switzerland    16965     8905     7171   \n",
        "31            AT:Austria          CL:Chile        2        3        3   \n",
        "\n",
        "    2013-Q1  2012-Q4  2012-Q3  2012-Q2  2012-Q1   ...     2010-Q2  2010-Q1  \\\n",
        "27      363      279      237      180      269   ...         275      212   \n",
        "28      799      730      960     1010     1249   ...        2749     2918   \n",
        "29     1428     1096     1562     1974     1427   ...        1081     1017   \n",
        "30     8359     8570     8464     8780    10090   ...       10878    12136   \n",
        "31        3        1        0        0        0   ...           0        0   \n",
        "\n",
        "    2009-Q4  2009-Q3  2009-Q2  2009-Q1  2008-Q4  2008-Q3  2008-Q2  2008-Q1  \n",
        "27      271      253      265      348     1191      585      272      769  \n",
        "28     3068     4510     5117     5426     5117     5554     7369     6814  \n",
        "29      891      770     1113     1067     1358     1615     3077     2484  \n",
        "30    11056    13460    12327    16220    13724    18826    18139    19114  \n",
        "31        0        2        0        1        2        0        0        0  \n",
        "\n",
        "[5 rows x 26 columns]"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "foreign_claims['Counterparty location'].unique()\n",
      "foreign_claims['Reporting country'].unique()"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### Construct a directed network for one data record"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "g = nx.DiGraph()\n",
      "\n",
      "for i, r in foreign_claims.iterrows():\n",
      "    g.add_edge(r['Reporting country'], r['Counterparty location'], attr_dict={'weight': float(r['2013-Q4'])})"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The matrix shows a very strong __core-periphery component__.\n",
      "This is also in part due to the limitations of the data collection mechanism, since not every exposure is being collected.\n",
      "\n",
      "\n",
      "Is is hard to make sense of it purely from the available visual representation below.\n",
      "Best to visualize and explore in another setup, like the program [Gephi](http://gephi.github.io/).\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline\n",
      "nx.draw_graphviz(g) #, pos=nx.spring_layout(g) )\n",
      "\n",
      "# "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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s3LixNn9SAjtHGGSB3TN8+HB+9NFHFerxdO3alWPGjLHZSwNg5c4FwDfeeMPK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\nYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x113a754d0>"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "nx.draw_circular(g)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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Wi2d0OmRlZ2PeAw+ge/fuIdZIUC+oXX8vweXCjh07mFHNNHyFAOUgvGiNAPMAvgyUS1l3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\nWbPKTRko9bfZbGp40OTkZPV3VSwvL89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be+GFF3j06FE1Ly/gEfDY2FhKkqRmHnrkkUfY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\nMAzDeBgWX4ZhGIbxMCy+DMMwDONh/j8bzCozOO0wNgAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x113dcb390>"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can export the graph for analysis with other programs:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "nx.write_gexf(g, \"2013q4.gexf\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}