allocation_test_usa.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2024-06-21T13:49:15.746050Z",
     "start_time": "2024-06-21T13:49:15.741022Z"
    }
   },
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from data_preparer import DataPreparer\n",
    "from allocator import Allocator\n",
    "import pickle\n",
    "import numpy as np"
   ],
   "outputs": [],
   "execution_count": 192
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-21T13:49:15.918023Z",
     "start_time": "2024-06-21T13:49:15.910565Z"
    }
   },
   "cell_type": "code",
   "source": [
    "def get_filtered_universe(preparer_obj, ts, tx, threshold, snapshot_start_id=0, snapshot_end_id=5):\n",
    "    preparer_obj.prepare_snapshots(weight_combination={\"ts\":ts, \"tx\":tx}, threshold=threshold)\n",
    "    preparer_obj.calculate_similarity_matrix(node_count=200, snapshot_start_id=snapshot_start_id, snapshot_end_id=snapshot_end_id)\n",
    "    preparer_obj.calculate_final_communes()\n",
    "    node_metrics = preparer_obj.calculate_node_metrics()\n",
    "    node_metrics[\"stock\"] = preparer.stock2id.index\n",
    "    \n",
    "    centrality_threshold = node_metrics.centrality.mean()\n",
    "    investment_universe = node_metrics.reset_index()[(node_metrics.centrality < centrality_threshold)]\n",
    "    pagerank_threshold = investment_universe.pagerank.mean() + investment_universe.pagerank.std() / 2\n",
    "    investment_universe = investment_universe[(investment_universe.pagerank > pagerank_threshold)]\n",
    "    \n",
    "    return investment_universe.stock"
   ],
   "id": "32b55d4457631e6f",
   "outputs": [],
   "execution_count": 193
  },
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": "",
   "id": "afdde2be44df40d0"
  },
  {
   "metadata": {},
   "cell_type": "code",
   "source": [
    "iteration_count = 5\n",
    "\n",
    "allocation_results = {\n",
    "                      \"pearson\": {\"path\": \"calculated_data/historical_ts_sim_pearson.pkl\"},\n",
    "                      \"dist_corr\": {\"path\": \"calculated_data/historical_ts_sim_distCorr.pkl\"},\n",
    "                      \"euclidean\": {\"path\": \"calculated_data/historical_ts_sim.pkl\"}, \n",
    "                      \"dtw\": {\"path\": \"calculated_data/historical_ts_sim_dtw.pkl\"}\n",
    "                      }\n",
    "hybrid_weights = {\n",
    "    \"dist_corr\": [0.55, 0.45, 0.35], # ts, tx, threshold\n",
    "    \"pearson\": [0.45, 0.55, 0.3],\n",
    "    \"dtw\": [0.95, 0.05, 0.2],\n",
    "    \"euclidean\": [0.35, 0.65, 0.25]\n",
    "}\n",
    "combinations = [{\"id\":0, \"ts\": 0.55, \"tx\": 0.45}, {\"id\":1, \"ts\": 0.0, \"tx\": 1.0}, {\"id\":2, \"ts\": 1.0, \"tx\": 0.0}]\n",
    " \n",
    "preparer = DataPreparer(\n",
    "        data_path=\"cold_data/description_vectors.pkl\",\n",
    "        textual_path=\"cold_data/textual_information.csv\",\n",
    "        stock2idPath=\"cold_data/stock2id.csv\",\n",
    "        stockDataPath=\"cold_data/stock_data.csv\"\n",
    ")\n",
    "allocator = Allocator()\n",
    "trade_start_date = \"2023-05-26\"\n",
    "\n",
    "for sim_metric in list(allocation_results.keys()):    \n",
    "    with open(allocation_results[sim_metric][\"path\"], \"rb\") as f:\n",
    "        ts_sim = pickle.load(f)\n",
    "    \n",
    "    filtered_sims = {}\n",
    "    \n",
    "    for k in list(ts_sim.keys())[:6]:\n",
    "        filtered_sims[k] = ts_sim[k]\n",
    "        \n",
    "    preparer.ts_similarities = filtered_sims\n",
    "    \n",
    "    for combination_id, combination in enumerate(combinations):\n",
    "        if combination_id == 0:\n",
    "            ts, tx, threshold = hybrid_weights[sim_metric]\n",
    "            id = 0\n",
    "        elif combination_id == 1:\n",
    "            ts, tx, threshold = 0, 1, 0.2\n",
    "            id = 1\n",
    "        else:\n",
    "            id, ts, tx = combination[\"id\"], combination[\"ts\"], combination[\"tx\"]\n",
    "            threshold = 0.2\n",
    "            \n",
    "        allocation_results[sim_metric][id] = []\n",
    "        \n",
    "        returns = []\n",
    "        filtered_sizes = []\n",
    "        for iteration in range(iteration_count):\n",
    "            selected_stocks = get_filtered_universe(preparer, ts, tx, threshold=threshold)\n",
    "            filtered_optim = allocator.mean_variance_optimization(\n",
    "                preparer.stockData[(preparer.stockData.index < trade_start_date) & \n",
    "                                   (preparer.stockData.index > \"2023-01-01\")][selected_stocks], min_weight=0.01, take_pct_change=True\n",
    "            )\n",
    "            filtered_return = allocator.calculate_cumulative_return(\n",
    "                filtered_optim[filtered_optim.weights > 0], \n",
    "                stockData=preparer.stockData, \n",
    "                startDate=trade_start_date\n",
    "            )\n",
    "            allocation_results[sim_metric][id].append(filtered_return[1])\n",
    "            \n",
    "            filtered_sizes.append(len(selected_stocks))\n",
    "            returns.append(filtered_return[1][-1])\n",
    "            \n",
    "        print(\"\\nSim. Metric:\", sim_metric, \n",
    "              \"TS Weight:\", ts, \"TX Weight:\", tx) \n",
    "        print(\"Avg. Return:\", np.mean(returns), \"Avg. Std:\", np.std(returns))\n",
    "        print(\"Avg. Size of Filtered Universe:\", np.mean(filtered_sizes)) "
   ],
   "id": "a013bc75e37770a9",
   "outputs": [],
   "execution_count": null
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-21T13:53:43.212197Z",
     "start_time": "2024-06-21T13:53:42.261029Z"
    }
   },
   "cell_type": "code",
   "source": [
    "mean_variance_optim = allocator.mean_variance_optimization(preparer.stockData[(preparer.stockData.index < trade_start_date)&(preparer.stockData.index >\"2023-01-01\")], \n",
    "                                                           min_weight=0.01, take_pct_change=True) \n",
    "mean_variance_return = allocator.calculate_cumulative_return(mean_variance_optim[mean_variance_optim.weights > 0], stockData=preparer.stockData, startDate=trade_start_date)\n",
    "\n",
    "print(\"Return:\", mean_variance_return[0])"
   ],
   "id": "e6cf304bffc078a1",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "You must convert self.cov to a positive definite matrix\n",
      "Return: 0.5007765461220697\n"
     ]
    }
   ],
   "execution_count": 195
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-21T14:12:42.408722Z",
     "start_time": "2024-06-21T14:12:42.403443Z"
    }
   },
   "cell_type": "code",
   "source": [
    "with open(\"allocation_results_sp.pkl\", 'wb') as file:\n",
    "    pickle.dump(allocation_results, file)"
   ],
   "id": "b7d9f927df3bc98a",
   "outputs": [],
   "execution_count": 214
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "# Detailed Visualization",
   "id": "3824f5de0d85ab82"
  },
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": [
    "import datetime\n",
    "import matplotlib.dates as mdates\n",
    "\n",
    "invest_data = preparer.stockData[(preparer.stockData.index > trade_start_date)]\n",
    "data_index = np.array(invest_data.index)\n",
    "data_index = [datetime.datetime.strptime(date, '%Y-%m-%d') for date in data_index]"
   ],
   "id": "a2789919c8b8f205"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-21T14:09:12.352801Z",
     "start_time": "2024-06-21T14:09:11.390827Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# Plot 1\n",
    "plt.figure(figsize=(10, 4))\n",
    "plt.plot(pd.Series(np.mean(allocation_results[\"euclidean\"][0], axis=0), index=data_index), label=\"Hybrid with Euclidean Distance\", color=\"blue\",  linewidth=2)\n",
    "plt.plot(pd.Series(np.mean(allocation_results[\"dist_corr\"][0], axis=0), index=data_index), label=\"Hybrid with Distance Correlation\", color=\"orange\")\n",
    "plt.plot(pd.Series(np.mean(allocation_results[\"pearson\"][0], axis=0), index=data_index), label=\"Hybrid with Pearson Correlation\", color=\"darkmagenta\")\n",
    "plt.plot(pd.Series(np.mean(allocation_results[\"dtw\"][0], axis=0), index=data_index), label=\"Hybrid with DTW Distance\", color=\"red\")\n",
    "plt.plot(pd.Series(np.mean(allocation_results[\"euclidean\"][1], axis=0), index=data_index), label=\"Textual Similarity\", color=\"black\")\n",
    "\n",
    "plt.plot(pd.Series(np.mean(allocation_results[\"euclidean\"][2], axis=0), index=data_index), label=\"Euclidean Distance\", color=\"lightblue\")\n",
    "plt.plot(pd.Series(np.mean(allocation_results[\"dist_corr\"][2], axis=0), index=data_index), label=\"Distance Correlation\", color=\"coral\")\n",
    "plt.plot(pd.Series(np.mean(allocation_results[\"pearson\"][2], axis=0), index=data_index), label=\"Pearson Correlation\", color=\"magenta\")\n",
    "plt.plot(pd.Series(np.mean(allocation_results[\"dtw\"][2], axis=0), index=data_index), label=\"DTW Distance\", color=\"tomato\")\n",
    "\n",
    "plt.plot(pd.Series(mean_variance_return[1], index=data_index), label=\"Unfiltered Universe\", linestyle=\"dotted\", linewidth=2)\n",
    "\n",
    "# plt.xlabel('Date')\n",
    "plt.ylabel(\"Portfolio Return\")\n",
    "plt.legend(prop={'size': 7})\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('portfolio_returns_combined.png', dpi=300, bbox_inches='tight')"
   ],
   "id": "3cbc2af648dbff4f",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 213
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-20T12:45:03.420484Z",
     "start_time": "2024-06-20T12:44:59.542465Z"
    }
   },
   "cell_type": "code",
   "source": [
    "preparer = DataPreparer(\n",
    "        data_path=\"cold_data/description_vectors.pkl\",\n",
    "        textual_path=\"cold_data/textual_information.csv\",\n",
    "        stock2idPath=\"cold_data/stock2id.csv\",\n",
    "        stockDataPath=\"cold_data/stock_data.csv\"\n",
    ")\n",
    "\n",
    "with open(\"calculated_data/historical_ts_sim_pearson.pkl\", \"rb\") as f:\n",
    "    ts_sim = pickle.load(f)\n",
    "    \n",
    "filtered_sims = {}\n",
    "    \n",
    "for k in list(ts_sim.keys())[:6]:\n",
    "    filtered_sims[k] = ts_sim[k]\n",
    "        \n",
    "preparer.ts_similarities = filtered_sims\n",
    "preparer.prepare_snapshots({\"ts\": 0.45, \"tx\": 0.55}, threshold=0.3)\n",
    "preparer.calculate_similarity_matrix(node_count=200)\n",
    "preparer.calculate_final_communes()\n",
    "node_metrics = preparer.calculate_node_metrics()"
   ],
   "id": "cd8072abcdf7c214",
   "outputs": [],
   "execution_count": 16
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-20T13:28:55.592490Z",
     "start_time": "2024-06-20T13:28:55.585742Z"
    }
   },
   "cell_type": "code",
   "source": [
    "centrality_threshold = round(node_metrics.centrality.mean(), 3)\n",
    "\n",
    "filtered = node_metrics[node_metrics.centrality < centrality_threshold]\n",
    "pagerank_threshold = filtered.pagerank.mean() + (filtered.pagerank.std() / 2)\n",
    "selected = filtered[filtered.pagerank > pagerank_threshold]\n",
    "\n",
    "print(len(node_metrics), len(filtered), len(selected))\n",
    "print(\"Pagerank Mean:\", pagerank_threshold, \"Pagerank Std:\", round(filtered.pagerank.std(), 3))\n",
    "print(\"Closeness Mean:\", centrality_threshold, \"Closeness Std:\", round(node_metrics.centrality.std(), 3))"
   ],
   "id": "72a88ee1bcba3bc2",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "200 149 45\n",
      "Pagerank Mean: 0.005593557365602213 Pagerank Std: 0.001\n",
      "Closeness Mean: 0.454 Closeness Std: 0.265\n"
     ]
    }
   ],
   "execution_count": 59
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-20T13:22:18.720075Z",
     "start_time": "2024-06-20T13:22:18.716285Z"
    }
   },
   "cell_type": "code",
   "source": [
    "node_metrics[\"stock\"] = preparer.stock2id.index\n",
    "node_metrics[\"name\"] = preparer.textual_information.name\n",
    "node_metrics[\"sector\"] = preparer.textual_information.sector"
   ],
   "id": "ae0697b2e7356663",
   "outputs": [],
   "execution_count": 48
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-20T13:49:10.918010Z",
     "start_time": "2024-06-20T13:49:10.909368Z"
    }
   },
   "cell_type": "code",
   "source": [
    "pagerankbysector = node_metrics.groupby(\"sector\").pagerank.mean().sort_values()\n",
    "centralitybysector = node_metrics.groupby(\"sector\").centrality.mean().sort_values()\n",
    "sectorcounts = node_metrics.sector.value_counts().sort_values()\n",
    "selected_sector_counts = selected.sector.value_counts()\n",
    "\n",
    "scores_df = pd.merge(left=pagerankbysector, right=centralitybysector, left_index=True, right_index=True)\n",
    "counts_df = pd.merge(left=sectorcounts, right=selected_sector_counts, left_index=True, right_index=True)\n",
    "counts_df.columns = [\"initial count\", \"selection count\"]"
   ],
   "id": "3bb10b04623ce602",
   "outputs": [],
   "execution_count": 119
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-20T13:49:11.391566Z",
     "start_time": "2024-06-20T13:49:11.387801Z"
    }
   },
   "cell_type": "code",
   "source": "unselected_sector = np.setdiff1d(scores_df.index, counts_df.index)[0]",
   "id": "c7da1608056f43ca",
   "outputs": [],
   "execution_count": 120
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-20T13:49:12.515568Z",
     "start_time": "2024-06-20T13:49:12.509633Z"
    }
   },
   "cell_type": "code",
   "source": "scores_df.loc[unselected_sector], sectorcounts.loc[unselected_sector]",
   "id": "67a8631c64ee2b60",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(pagerank      0.004736\n",
       " centrality    0.437743\n",
       " Name: Consumer Defensive, dtype: float64,\n",
       " 16)"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 121
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-20T13:49:13.320863Z",
     "start_time": "2024-06-20T13:49:13.315799Z"
    }
   },
   "cell_type": "code",
   "source": "scores_df = pd.merge(right=counts_df, left=scores_df, left_index=True, right_index=True)",
   "id": "d866ba0e2b37005a",
   "outputs": [],
   "execution_count": 122
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-20T13:49:13.637736Z",
     "start_time": "2024-06-20T13:49:13.631233Z"
    }
   },
   "cell_type": "code",
   "source": "scores_df.loc[\"Consumer Defensive\"] = {\"pagerank\": 0.0047, \"centrality\": 0.4377, \"initial count\":16, \"selection count\":0}",
   "id": "343861c04947b9fc",
   "outputs": [],
   "execution_count": 123
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-20T14:16:09.278319Z",
     "start_time": "2024-06-20T14:16:09.270543Z"
    }
   },
   "cell_type": "code",
   "source": "scores_df",
   "id": "27b0e7123c37664e",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "                        pagerank  centrality  initial count  selection count\n",
       "sector                                                                      \n",
       "Basic Materials         0.004165    0.336779              7                3\n",
       "Industrials             0.004672    0.452683             20                3\n",
       "Energy                  0.004804    0.431189             19                4\n",
       "Consumer Cyclical       0.004822    0.413456             26                6\n",
       "Financial Services      0.004918    0.477761             25                4\n",
       "Utilities               0.004956    0.396011             15                6\n",
       "Technology              0.005190    0.514024             30               10\n",
       "Real Estate             0.005363    0.423822              8                2\n",
       "Communication Services  0.005517    0.466631             14                2\n",
       "Healthcare              0.005592    0.508642             20                5\n",
       "Consumer Defensive      0.004700    0.437700             16                0"
      ],
      "text/html": [
       "<div>\n",
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       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pagerank</th>\n",
       "      <th>centrality</th>\n",
       "      <th>initial count</th>\n",
       "      <th>selection count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sector</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Basic Materials</th>\n",
       "      <td>0.004165</td>\n",
       "      <td>0.336779</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Industrials</th>\n",
       "      <td>0.004672</td>\n",
       "      <td>0.452683</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Energy</th>\n",
       "      <td>0.004804</td>\n",
       "      <td>0.431189</td>\n",
       "      <td>19</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Consumer Cyclical</th>\n",
       "      <td>0.004822</td>\n",
       "      <td>0.413456</td>\n",
       "      <td>26</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Financial Services</th>\n",
       "      <td>0.004918</td>\n",
       "      <td>0.477761</td>\n",
       "      <td>25</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utilities</th>\n",
       "      <td>0.004956</td>\n",
       "      <td>0.396011</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Technology</th>\n",
       "      <td>0.005190</td>\n",
       "      <td>0.514024</td>\n",
       "      <td>30</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Real Estate</th>\n",
       "      <td>0.005363</td>\n",
       "      <td>0.423822</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Communication Services</th>\n",
       "      <td>0.005517</td>\n",
       "      <td>0.466631</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Healthcare</th>\n",
       "      <td>0.005592</td>\n",
       "      <td>0.508642</td>\n",
       "      <td>20</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Consumer Defensive</th>\n",
       "      <td>0.004700</td>\n",
       "      <td>0.437700</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 127
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-21T07:07:28.236066Z",
     "start_time": "2024-06-21T07:07:28.227137Z"
    }
   },
   "cell_type": "code",
   "source": [
    "g_final = preparer.np2igraph(preparer.get_similarity_matrix())\n",
    "metrics = node_metrics[[\"sector\", \"commune\", \"stock\"]]"
   ],
   "id": "93ecfceede7c931",
   "outputs": [],
   "execution_count": 142
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-21T07:27:55.200578Z",
     "start_time": "2024-06-21T07:27:55.180704Z"
    }
   },
   "cell_type": "code",
   "source": [
    "commune_sector_pairs = metrics.merge(metrics, on='commune')\n",
    "cross_tab = pd.crosstab(commune_sector_pairs['sector_x'], commune_sector_pairs['sector_y'])\n",
    "cross_tab / cross_tab.sum(axis=1)"
   ],
   "id": "593f57ff21b1606d",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sector_y                Basic Materials  Communication Services  \\\n",
       "sector_x                                                          \n",
       "Basic Materials                0.200000                 0.01250   \n",
       "Communication Services         0.044444                 0.15000   \n",
       "Consumer Cyclical              0.155556                 0.12500   \n",
       "Consumer Defensive             0.022222                 0.05000   \n",
       "Energy                         0.066667                 0.08125   \n",
       "Financial Services             0.111111                 0.10625   \n",
       "Healthcare                     0.044444                 0.08750   \n",
       "Industrials                    0.133333                 0.06250   \n",
       "Real Estate                    0.022222                 0.04375   \n",
       "Technology                     0.088889                 0.20000   \n",
       "Utilities                      0.111111                 0.08125   \n",
       "\n",
       "sector_y                Consumer Cyclical  Consumer Defensive    Energy  \\\n",
       "sector_x                                                                  \n",
       "Basic Materials                  0.028926            0.006024  0.014563   \n",
       "Communication Services           0.082645            0.048193  0.063107   \n",
       "Consumer Cyclical                0.214876            0.120482  0.072816   \n",
       "Consumer Defensive               0.082645            0.144578  0.077670   \n",
       "Energy                           0.061983            0.096386  0.169903   \n",
       "Financial Services               0.090909            0.090361  0.111650   \n",
       "Healthcare                       0.090909            0.108434  0.111650   \n",
       "Industrials                      0.078512            0.072289  0.092233   \n",
       "Real Estate                      0.049587            0.072289  0.067961   \n",
       "Technology                       0.136364            0.162651  0.145631   \n",
       "Utilities                        0.082645            0.078313  0.072816   \n",
       "\n",
       "sector_y                Financial Services  Healthcare  Industrials  \\\n",
       "sector_x                                                              \n",
       "Basic Materials                   0.022222    0.008658     0.030769   \n",
       "Communication Services            0.075556    0.060606     0.051282   \n",
       "Consumer Cyclical                 0.097778    0.095238     0.097436   \n",
       "Consumer Defensive                0.066667    0.077922     0.061538   \n",
       "Energy                            0.102222    0.099567     0.097436   \n",
       "Financial Services                0.182222    0.082251     0.097436   \n",
       "Healthcare                        0.084444    0.173160     0.112821   \n",
       "Industrials                       0.084444    0.095238     0.164103   \n",
       "Real Estate                       0.031111    0.064935     0.056410   \n",
       "Technology                        0.164444    0.121212     0.128205   \n",
       "Utilities                         0.088889    0.121212     0.102564   \n",
       "\n",
       "sector_y                Real Estate  Technology  Utilities  \n",
       "sector_x                                                    \n",
       "Basic Materials            0.008333    0.012085   0.024631  \n",
       "Communication Services     0.058333    0.096677   0.064039  \n",
       "Consumer Cyclical          0.100000    0.099698   0.098522  \n",
       "Consumer Defensive         0.100000    0.081571   0.064039  \n",
       "Energy                     0.116667    0.090634   0.073892  \n",
       "Financial Services         0.058333    0.111782   0.098522  \n",
       "Healthcare                 0.125000    0.084592   0.137931  \n",
       "Industrials                0.091667    0.075529   0.098522  \n",
       "Real Estate                0.166667    0.024169   0.064039  \n",
       "Technology                 0.066667    0.247734   0.123153  \n",
       "Utilities                  0.108333    0.075529   0.152709  "
      ],
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       "      <td>0.120482</td>\n",
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       "      <td>0.081571</td>\n",
       "      <td>0.064039</td>\n",
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       "      <td>0.066667</td>\n",
       "      <td>0.08125</td>\n",
       "      <td>0.061983</td>\n",
       "      <td>0.096386</td>\n",
       "      <td>0.169903</td>\n",
       "      <td>0.102222</td>\n",
       "      <td>0.099567</td>\n",
       "      <td>0.097436</td>\n",
       "      <td>0.116667</td>\n",
       "      <td>0.090634</td>\n",
       "      <td>0.073892</td>\n",
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       "      <td>0.10625</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>0.090361</td>\n",
       "      <td>0.111650</td>\n",
       "      <td>0.182222</td>\n",
       "      <td>0.082251</td>\n",
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       "      <td>0.173160</td>\n",
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       "      <td>0.125000</td>\n",
       "      <td>0.084592</td>\n",
       "      <td>0.137931</td>\n",
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       "      <th>Industrials</th>\n",
       "      <td>0.133333</td>\n",
       "      <td>0.06250</td>\n",
       "      <td>0.078512</td>\n",
       "      <td>0.072289</td>\n",
       "      <td>0.092233</td>\n",
       "      <td>0.084444</td>\n",
       "      <td>0.095238</td>\n",
       "      <td>0.164103</td>\n",
       "      <td>0.091667</td>\n",
       "      <td>0.075529</td>\n",
       "      <td>0.098522</td>\n",
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       "      <th>Real Estate</th>\n",
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       "      <td>0.04375</td>\n",
       "      <td>0.049587</td>\n",
       "      <td>0.072289</td>\n",
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       "      <td>0.024169</td>\n",
       "      <td>0.064039</td>\n",
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       "      <td>0.20000</td>\n",
       "      <td>0.136364</td>\n",
       "      <td>0.162651</td>\n",
       "      <td>0.145631</td>\n",
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       "      <td>0.247734</td>\n",
       "      <td>0.123153</td>\n",
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       "    <tr>\n",
       "      <th>Utilities</th>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.08125</td>\n",
       "      <td>0.082645</td>\n",
       "      <td>0.078313</td>\n",
       "      <td>0.072816</td>\n",
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       "      <td>0.075529</td>\n",
       "      <td>0.152709</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 185
  },
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": "",
   "id": "edfd51f06bf993d8"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-21T12:13:19.139925Z",
     "start_time": "2024-06-21T12:13:19.120203Z"
    }
   },
   "cell_type": "code",
   "source": "centrality_threshold, pagerank_threshold",
   "id": "c73964e42561e29c",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.454, 0.005593557365602213)"
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 190
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-20T12:45:11.035295Z",
     "start_time": "2024-06-20T12:45:10.426622Z"
    }
   },
   "cell_type": "code",
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd  \n",
    "\n",
    "# Create a new figure with appropriate size\n",
    "fig, (ax1, ax2) = plt.subplots(ncols=2, figsize=(8, 3)) \n",
    "\n",
    "# Plot the closeness centrality histogram\n",
    "sns.histplot(node_metrics.centrality, bins=20, kde=False, ax=ax1, color='blue')\n",
    "ax1.axvline(centrality_threshold, color='r', linestyle='--', label=f'Centrality Threshold: {round(centrality_threshold, 3)}')\n",
    "ax1.fill_betweenx([0, ax1.get_ylim()[1]], x1=0, x2=centrality_threshold, color='green', alpha=0.3)\n",
    "ax1.set_xlabel('Closeness Centrality')\n",
    "ax1.set_ylabel('Frequency')\n",
    "# ax1.legend()\n",
    "\n",
    "\n",
    "# Plot the PageRank histogram\n",
    "sns.histplot(node_metrics.pagerank, bins=25, kde=False, ax=ax2, color='blue')\n",
    "ax2.axvline(pagerank_threshold, color='r', linestyle='--')\n",
    "ax2.fill_betweenx([0, ax2.get_ylim()[1]], x1=pagerank_threshold, x2=ax2.get_xlim()[1], color='green', alpha=0.3)\n",
    "ax2.set_xlabel('PageRank Score')\n",
    "ax2.set_ylabel('')\n",
    "# ax2.legend()\n",
    "\n",
    "plt.tight_layout() \n",
    "\n",
    "plt.savefig('distributions_histogram.png', dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ],
   "id": "837de12978e418d5",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x300 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 18
  },
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": "",
   "id": "2b133bf4d55aacb7"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}