delegator_portfolio.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "61e3d104-b5f4-45b9-8494-0cf364513632",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "stakeDelegateds: 605 events\n",
      "stakeDelegatedLockeds: 375 events\n",
      "stakeDelegatedWithdrawns: 326 events\n",
      "allocationCloseds: 47 events\n",
      "allocationCollecteds: 16 events\n",
      "stakeDepositeds: 25 events\n",
      "rewardsAssigneds: 47 events\n",
      "delegationParametersUpdateds: 6 events\n",
      "allocationCreateds: 51 events\n",
      "TOTAL NUMBER OF EVENTS: 1529\n",
      "You should set SIMULATION_TIME_STEPS in config.py to a minimum of 1529 to capture all events.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# import os\n",
    "# import sys\n",
    "# module_path = os.path.abspath(os.path.join('..'))\n",
    "# print(module_path)\n",
    "# sys.path.append(module_path)\n",
    "import model.parts.utils as utils\n",
    "from model.sys_params import *\n",
    "df = pd.read_pickle(r'experiment.p')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "d7c3be70-4358-4d61-bffd-9d424286c910",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.reset_index(inplace = True)\n",
    "pd.set_option('display.max_rows', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b6ab6109-f7d9-41c8-a66d-022682a90fa1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>indexers</th>\n",
       "      <th>delegator_portfolios</th>\n",
       "      <th>block_number</th>\n",
       "      <th>simulation</th>\n",
       "      <th>subset</th>\n",
       "      <th>run</th>\n",
       "      <th>substep</th>\n",
       "      <th>timestep</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>{'0x7ab4cf25330ed7277ac7ab59380b68eea68abb0e':...</td>\n",
       "      <td>{}</td>\n",
       "      <td>11474009</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8</td>\n",
       "      <td>{'0x7ab4cf25330ed7277ac7ab59380b68eea68abb0e':...</td>\n",
       "      <td>{}</td>\n",
       "      <td>11474009</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12</td>\n",
       "      <td>{'0x7ab4cf25330ed7277ac7ab59380b68eea68abb0e':...</td>\n",
       "      <td>{}</td>\n",
       "      <td>11474307</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16</td>\n",
       "      <td>{'0x7ab4cf25330ed7277ac7ab59380b68eea68abb0e':...</td>\n",
       "      <td>{'0xd776a7306ee6a060cebb46b46d305e88fd39ba84':...</td>\n",
       "      <td>11474332</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20</td>\n",
       "      <td>{'0x7ab4cf25330ed7277ac7ab59380b68eea68abb0e':...</td>\n",
       "      <td>{'0xd776a7306ee6a060cebb46b46d305e88fd39ba84':...</td>\n",
       "      <td>11474426</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index                                           indexers  \\\n",
       "0      4  {'0x7ab4cf25330ed7277ac7ab59380b68eea68abb0e':...   \n",
       "1      8  {'0x7ab4cf25330ed7277ac7ab59380b68eea68abb0e':...   \n",
       "2     12  {'0x7ab4cf25330ed7277ac7ab59380b68eea68abb0e':...   \n",
       "3     16  {'0x7ab4cf25330ed7277ac7ab59380b68eea68abb0e':...   \n",
       "4     20  {'0x7ab4cf25330ed7277ac7ab59380b68eea68abb0e':...   \n",
       "\n",
       "                                delegator_portfolios  block_number  \\\n",
       "0                                                 {}      11474009   \n",
       "1                                                 {}      11474009   \n",
       "2                                                 {}      11474307   \n",
       "3  {'0xd776a7306ee6a060cebb46b46d305e88fd39ba84':...      11474332   \n",
       "4  {'0xd776a7306ee6a060cebb46b46d305e88fd39ba84':...      11474426   \n",
       "\n",
       "   simulation  subset  run  substep  timestep  \n",
       "0           0       0    1        4         1  \n",
       "1           0       0    1        4         2  \n",
       "2           0       0    1        4         3  \n",
       "3           0       0    1        4         4  \n",
       "4           0       0    1        4         5  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cc0cb690-f905-4bac-a311-86bc6a1a218f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0xd776a7306ee6a060cebb46b46d305e88fd39ba84</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>&lt;model.parts.portfolio.Portfolio object at 0x7...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>&lt;model.parts.portfolio.Portfolio object at 0x7...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>&lt;model.parts.portfolio.Portfolio object at 0x7...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>&lt;model.parts.portfolio.Portfolio object at 0x7...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>&lt;model.parts.portfolio.Portfolio object at 0x7...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          0xd776a7306ee6a060cebb46b46d305e88fd39ba84\n",
       "3  <model.parts.portfolio.Portfolio object at 0x7...\n",
       "4  <model.parts.portfolio.Portfolio object at 0x7...\n",
       "5  <model.parts.portfolio.Portfolio object at 0x7...\n",
       "6  <model.parts.portfolio.Portfolio object at 0x7...\n",
       "7  <model.parts.portfolio.Portfolio object at 0x7..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from model.parts.portfolio import Portfolio\n",
    "portfolios = df['delegator_portfolios']\n",
    "portfolio_values = {}\n",
    "timestep = 0\n",
    "for i in portfolios:\n",
    "    for delegator_id, values in i.items():\n",
    "        if delegator_id not in portfolio_values:\n",
    "            portfolio_values[delegator_id] = {}\n",
    "        portfolio_values[delegator_id][timestep] = values\n",
    "    timestep += 1\n",
    "delegator_values_df = pd.DataFrame(portfolio_values)\n",
    "for i in delegator_values_df.columns:\n",
    "    delegator_values_df[i] = [Portfolio(i) if j != j else j for j in delegator_values_df[i]]\n",
    "delegator_values_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d68afee1-1308-4a27-a3e0-c5a520bccb59",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<zip at 0x7f2a51ed4200>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delegator_values_df['0xd776a7306ee6a060cebb46b46d305e88fd39ba84'].items()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8607a3dc-3e77-4433-b5c3-461196e4d7bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "ROI_list = []\n",
    "for i, values in delegator_values_df['0xd776a7306ee6a060cebb46b46d305e88fd39ba84'].items():\n",
    "    ROI_list.append(values.ROI)\n",
    "plt.plot(delegator_values_df.index, ROI_list)\n",
    "plt.title('ROI of Delegator 0xd776a7306ee6a060cebb46b46d305e88fd39ba84');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "89c1a520-bd1d-49f8-a928-51fb9cfe1116",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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9h4g4OyK2iYhNSUl7KGn/bGja7pL2IN0GeiuwUd6vH6nUwY6kB4Hn5e2cSrqNM4l0DNkKmJPb9ePAmyXd2kfs7YfB8zHrk6Srv7eQrjLXAXYiXfZPjibDE3nedOBDlenJrJ571puQzuTeniv3bTx9aKkxtP1e0oMHE3Jl/YY+HjBrFQsp0Z5OOuN7RW6cC3LFzwJeTLqqu4aUMI4kXS3/trK+YeR73aQz6MmkBP21ynbeBny8Rd1U62Fd0ln0xaQRgXF5fg9ph9mV1HlGAK+ld/h0Nr3D4B/JdbBlnh5L7z2b7UlnmrvluE9n5XvWfyANlQvYjjTUXr2ns5CVHwbahzRcuhPN7wE9rd1r2964D/eh/P4P5OnGw0t7kg5y40lDXouB8f3pB3mZCaQhq1YPTp1A5R57Zf62pGG+fXP7f4R0hTeMtHP+Iy8zBHhX/oyja+u4mnSlWp23DulZiI1yHe9COjj9Vz/ro11cQ0j3Bo8jDQEOIV3xN+4dtuwXefpa0rDheqQ++AB52Lwf/eJG0lXg+qR72EuAsbms8TzKETmmt5BOYhr79pdJ+9dGed0L6H2grnHP+q2k40L1nvWZpKHtTfP0eHrvz0/ObdJ4HmUP0rD5dpVj21J6n934KvlWFen+93Mrfxfn8o37uT3TSFdyk0jJ8sfAD3PZ6Nq6rwc+CjynH+07jDSS96FcF2+ics+adPvgJfl9o4Cvk04+GvdcjyUdw8aTriRn0PsQ4Bb0fhNofdLw+yJ6nxl6IynhbZ+nn0O+7Zc/awnp2L1O3q4bSBcX5Hq6l5TUleN8rNYW1WHw0+jtDxNIJzDzctmmpAunkXk7X5PbtXF8W5/U55W3aRrwxcq6p9K63Q/M9fXcXHYSaeSpcWz8LOlh5c3ydh6eP3t0budqu54B/IS8D7TNjX0tkD/8MNJO+FhumJtI9weGNavEPO9tpKumxoNNk1l9T4PvTjrYPJL/rd6fnEZvAh6aK/lBUkLt82nwVrGQzsiuIx0QfkO6H3UeKVnPJR2Uluf3LCIl3dt4+gM1Pyd1/kdICWQq+eEOepP1x1rUzcn0Pi2+nHSf+xvkpFRZbn/SwyxLSAe0H9M8Wa9DOgDck7frr6zcYY8k7fSNp8HvJz/1SEqOf86xXEca2qoelI/Nn72E3icwj82f8RBpyHpCu3Zvsv0vye39OOkBjpdUDgKzgUNqO/LVpJ2xbT/Iy3+K9k/X/pkmT+jnsjeR7sMtJfWp7StlX8jbu5j0ENM1rHzvcTwpWdT7/DqkIcOHch3fS75K7as++hnXONLzEgtJCeXGVegX43Nsy0i3gt5TKeurX2yVY3k8r3/fWsx7kJ56X0Y64a8+Zbse6cGqpaQLiI82ee9NuXwu+cl60oH5iznWpaRE1DjpmUxKmCfmNpoDHF47aDeeCl5GOlHZuvq5tWXrx8F22zON3qfBl5IefBvTYt3TePpJXrv27SE9nNV4GvxiepP1wZU2WkT6JkX1GyMinZw/lP9Op/d+9fakpLictD/9BuipxXV43uZGO5xfKdub3m/yLCSNPA2vfO7nchs8mtup3hbVZD2cNNK1hNrT4KQTzGty2dIcz39W3ju6sh0LczsMqX1W03YnJf/z8noXkC5oZ9O7/6xP+rbQgrzMrVTurTc5pvfrnnWjAWwVSbqY1OG/A1wRES+SNIp0v7Tld54lTc3L/yRPH0oaoXhPnv4W6bu2q+s7f6tFHgZaQhrenNXlcMzMBpW+7llbJmlnSc+XtE7+IYYppKvkf4uIpcAsSQfn90jSjn2s+ipgP0kb5QfL9svzuk7S6/NDESNIwzV3ks4gzcysgwZ8slb6ecIHJN3VolySvq70s3N3SHppi1U9lzTUtIx0j+e9pOGPG4BtlX467yjSLYOjJN1OGu6ekj9nZ6XfrT0Y+JakGQCRHiz7PGlo6GbSvcuHKMMU0r2Z+aSvbxwSHooxM+u4AT8MLqnxYxPfi4gXNSk/kPTl+wNJD2WdGRG7djZKMzOz1gb8lXVEXEvvd5CbmUL+uk5E3AiM1gD6nW0zM1v7+b8ITE+2Vr9YPy/PW1BfUNIxpKfgGTFixMu22267jgRoZjZQ3HLLLYsjYmzfS1qVk3XzH/Joem8gIs4lfWWLnp6emD59+pqMy8xswJHU1y9JWhMDfhi8H+ax8q/gTGDlXy8yMzPrKifr9L/xvDM/Ff5y4JGIeNoQuJmZWbcM+GFwSReSfqVoTP7q1GdJP9VJRJxD+vWeA0m/BPQY6SchzczMijHgk3VEHNpHeZB+ftLMzKxIHgY3MzMrnJO1mZlZ4ZyszczMCudkbWZmVjgnazMzs8I5WZuZmRXOydrMzKxwTtZmZmaFc7I2MzMrnJO1mZlZ4ZyszczMCudkbWZmVjgnazMzs8I5WZuZmRXOydrMzKxwTtZmZmaFc7I2MzMrnJO1mZlZ4ZyszczMCudkbWZmVjgnazMzs8I5WZuZmRXOydrMzKxwTtZmZmaFc7I2MzMrnJO1mZlZ4ZyszczMCudkbWZmVjgnazMzs8I5WZuZmRXOydrMzKxwTtZmZmaFc7I2MzMrnJO1mZlZ4ZyszczMCudkbWZmVjgnazMzs8I5WZuZmRXOydrMzKxwgyJZS9pf0j2SZko6vkn5cyRdLul2STMkvasbcZqZmTUz4JO1pCHA2cABwCTgUEmTaou9H/hTROwITAa+ImlYRwM1MzNrYcAna2AXYGZE3BcRTwAXAVNqywSwoSQBI4GHgBWdDdPMzKy5wZCsxwNzK9Pz8ryqs4AXAvOBO4EPRcRT9RVJOkbSdEnTFy1atKbiNTMzW8lgSNZqMi9q068BbgPGATsBZ0ka9bQ3RZwbET0R0TN27NjVHaeZmVlTgyFZzwMmVqYnkK6gq94FXBLJTGAWsF2H4jMzM2trMCTrm4FtJG2dHxo7BListswcYB8ASZsB2wL3dTRKMzOzFoZ2O4A1LSJWSPoAcBUwBDg/ImZIOjaXnwN8Hpgq6U7SsPlxEbG4a0GbmZlVDPhkDRARvwB+UZt3TuX1fGC/TsdlZmbWH4NhGNzMzGyt5mRtZmZWOCdrMzOzwjlZm5mZFc7J2szMrHBO1mZmZoVzsjYzMyuck7WZmVnhnKzNzMwK52RtZmZWOCdrMzOzwjlZm5mZFc7J2szMrHBO1mZmZoVzsjYzMyuck7WZmVnhnKzNzMwK52RtZmZWOCdrMzOzwjlZm5mZFc7J2szMrHBO1mZmZoVzsjYzMyuck7WZmVnhnKzNzMwK52RtZmZWOCdrMzOzwjlZm5mZFc7J2szMrHBO1mZmZoVzsjYzMyuck7WZmVnhnKzNzMwK52RtZmZWOCdrMzOzwjlZm5mZFc7J2szMrHBO1mZmZoVzsjYzMyvcoEjWkvaXdI+kmZKOb7HMZEm3SZoh6ZpOx2hmZtbK0G4HsKZJGgKcDbwamAfcLOmyiPhTZZnRwDeA/SNijqRNuxKsmZlZE4PhynoXYGZE3BcRTwAXAVNqy7wduCQi5gBExAMdjtHMzKylwZCsxwNzK9Pz8ryqFwAbSZom6RZJ72y2IknHSJouafqiRYvWULhmZmYrGwzJWk3mRW16KPAy4LXAa4DPSHrB094UcW5E9EREz9ixY1d/pGZmZk0M+HvWpCvpiZXpCcD8JsssjojlwHJJ1wI7Avd2JkQzM7PWBsOV9c3ANpK2ljQMOAS4rLbMpcAekoZKGg7sCtzd4TjNzMyaGvBX1hGxQtIHgKuAIcD5ETFD0rG5/JyIuFvSL4E7gKeAb0fEXd2L2szMrJci6rdvrT96enpi+vTp3Q7DzGytIumWiOjpdhxrm8EwDG5mZrZWc7I2MzMrnJO1mZlZ4ZyszczMCudkbWZmVjgnazMzs8I5WZuZmRXOydrMzKxwTtZmZmaFc7I2MzMrnJO1mZlZ4ZyszczMCudkbWZmVjgnazMzs8I5WZuZmRXOydrMzKxwTtZmZmaFc7I2MzMrnJO1mZlZ4ZyszczMCudkbWZmVjgnazMzs8I5WZuZmRXOydrMzKxwTtZmZmaFc7I2MzMrnJO1mZlZ4ZyszczMCudkbWZmVjgnazMzs8I5WZuZmRXOydrMzKxwTtZmZmaFc7I2MzMrnJO1mZlZ4ZyszczMCudkbWZmVjgnazMzs8I5WZuZmRVuUCRrSftLukfSTEnHt1luZ0n/kvSWTsZnZmbWzoBP1pKGAGcDBwCTgEMlTWqx3GnAVZ2N0MzMrL0Bn6yBXYCZEXFfRDwBXARMabLcB4GfAg90MjgzM7O+DIZkPR6YW5mel+f9m6TxwBuBc9qtSNIxkqZLmr5o0aLVHqiZmVkzgyFZq8m8qE1/DTguIv7VbkURcW5E9EREz9ixY1dXfGZmZm0N7XYAHTAPmFiZngDMry3TA1wkCWAMcKCkFRHx845EaGZm1sZgSNY3A9tI2hq4HzgEeHt1gYjYuvFa0lTgCidqMzMrxYBP1hGxQtIHSE95DwHOj4gZko7N5W3vU5uZmXXbgE/WABHxC+AXtXlNk3REHNmJmMzMzPprMDxgZmZmtlZzsjYzMyuck7WZmVnhnKzNzMwK52RtZmZWOCdrMzOzwjlZm5mZFc7J2szMrHBO1mZmZoVzsjYzMyuck7WZmVnhnKzNzMwK52RtZmZWOCdrMzOzwjlZm5mZFc7J2szMrHBO1mZmZoVzsjYzMyuck7WZmVnhnKzNzMwK52RtZmZWOCdrMzOzwjlZm5mZFc7J2szMrHBO1mZmZoVzsjYzMyuck7WZmVnhnKzNzMwK52RtZmZWOCdrMzOzwjlZm5mZFc7J2szMrHBO1mZmZoVzsjYzMyuck7WZmVnhnKzNzMwK52RtZmZWOCdrMzOzwg2KZC1pf0n3SJop6fgm5YdJuiP/XS9px27EaWZm1syAT9aShgBnAwcAk4BDJU2qLTYL2CsidgA+D5zb2SjNzMxaG/DJGtgFmBkR90XEE8BFwJTqAhFxfUQ8nCdvBCZ0OEYzM7OWBkOyHg/MrUzPy/NaOQq4co1GZGZmtgqGdjuADlCTedF0QelVpGS9e4vyY4BjALbYYovVFZ+ZmVlbg+HKeh4wsTI9AZhfX0jSDsC3gSkR8WCzFUXEuRHRExE9Y8eOXSPBmpmZ1Q2GZH0zsI2krSUNAw4BLqsuIGkL4BLg8Ii4twsxmpmZtTTgh8EjYoWkDwBXAUOA8yNihqRjc/k5wEnAJsA3JAGsiIiebsVsZmZWpYimt2+tDz09PTF9+vRuh2FmtlaRdIsvhlbdYBgGNzMzW6s5WZuZmRXOydrMzKxwTtZmZmaFc7I2MzMrnJO1mZlZ4ZyszczMCudkbWZmVjgnazMzs8I5WZuZmRXOydrMzKxwTtZmZmaFc7I2MzMrnJO1mZlZ4ZyszczMCudkbWZmVjgnazMzs8IN7XYAg83sxcu5a/4j3Q7DBrCIbkdgA92kcaN4/tiR3Q5jUHGy7rBr/7KIky6d0e0wzMyesU+/9oVO1h3mZN1hB+04jlc8b5Nuh2EDnNTtCGwg22TEet0OYdBxsu6w0cOHMXr4sG6HYWZmaxGFb3A9I5IWAX97hm8fAyxejeGsbo7vmSs5NnB8z5bje3bGACMiYmy3A1nbOFl3gaTpEdHT7ThacXzPXMmxgeN7thzfs1N6fCXzV7fMzMwK52RtZmZWOCfr7ji32wH0wfE9cyXHBo7v2XJ8z07p8RXL96zNzMwK5ytrMzOzwjlZm5mZFc7JuoMk7S/pHkkzJR3fpRgmSvqdpLslzZD0oTx/Y0m/kvSX/O9Glfd8Ksd8j6TXdCDGIZL+KOmK0mLLnzla0k8k/TnX4ytKiVHSR3K73iXpQknrdzs2SedLekDSXZV5qxyTpJdJujOXfV1aPb/T1iK+/87te4ekn0kaXVJ8lbKPSwpJY7oRX6vYJH0wf/4MSad3I7YBJyL814E/YAjwV+B5wDDgdmBSF+LYHHhpfr0hcC8wCTgdOD7PPx44Lb+elGNdD9g6b8OQNRzjR4EfAlfk6WJiy5/7XeDo/HoYMLqEGIHxwCxggzz9I+DIbscG7Am8FLirMm+VYwL+ALwCEHAlcMAajG8/YGh+fVpp8eX5E4GrSD/ONKYb8bWou1cBvwbWy9ObdqvuBtKfr6w7ZxdgZkTcFxFPABcBUzodREQsiIhb8+tHgbtJB/kppCRE/vcN+fUU4KKI+GdEzAJmkrZljZA0AXgt8O3K7CJiy/GNIh2gzgOIiCciYklBMQ4FNpA0FBgOzO92bBFxLfBQbfYqxSRpc2BURNwQ6ej+vcp7Vnt8EXF1RKzIkzcCE0qKL/sq8Emg+pRwR+NrEdt7gS9HxD/zMg90I7aBxsm6c8YDcyvT8/K8rpG0FfAS4CZgs4hYACmhA5vmxTod99dIB6CnKvNKiQ3SyMgi4Dt5qP7bkkaUEGNE3A+cAcwBFgCPRMTVJcTWxKrGND6/rs/vhHeTrvagkPgkHQTcHxG314pKiO8FwB6SbpJ0jaSdC4ptreVk3TnN7sF07XtzkkYCPwU+HBFL2y3aZN4aiVvS64AHIuKW/r6lybw1XadDScN+34yIlwDLScO4rXSy/jYiXb1sDYwDRkh6RwmxrYJWMXUlVkknAiuAHzRmtYijk+08HDgROKlZcYs4Oll/Q4GNgJcDnwB+lO9BlxDbWsvJunPmke4xNUwgDVF2nKR1SYn6BxFxSZ799zwcRf63MXTVybhfCRwkaTbpNsHeki4oJLaGecC8iLgpT/+ElLxLiHFfYFZELIqIJ4FLgN0Kia1uVWOaR+9QdHX+GiPpCOB1wGF5eLaU+J5POiG7Pe8rE4BbJT23kPjmAZdE8gfSKNmYQmJbazlZd87NwDaStpY0DDgEuKzTQeQz3POAuyPifypFlwFH5NdHAJdW5h8iaT1JWwPbkB4GWe0i4lMRMSEitiLVz28j4h0lxFaJcSEwV9K2edY+wJ8KiXEO8HJJw3M770N6JqGE2OpWKaY8VP6opJfnbXtn5T2rnaT9geOAgyLisVrcXY0vIu6MiE0jYqu8r8wjPTS6sIT4gJ8DewNIegHpIczFhcS29ur2E26D6Q84kPT09V+BE7sUw+6kIaY7gNvy34HAJsBvgL/kfzeuvOfEHPM9dOgpTWAyvU+DlxbbTsD0XIc/Jw35FREjcArwZ+Au4PukJ2+7GhtwIeke+pOkxHLUM4kJ6Mnb9VfgLPIvMK6h+GaS7q829pFzSoqvVj6b/DR4p+NrUXfDgAvyZ90K7N2tuhtIf/65UTMzs8J5GNzMzKxwTtZmZmaFc7I2MzMrnJO1mZlZ4ZyszczMCudkbWZmVjgnazMzs8L9HzM0QwlVbMVGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "holdings_list = []\n",
    "for i, values in delegator_values_df['0xd776a7306ee6a060cebb46b46d305e88fd39ba84'].items():\n",
    "    holdings_list.append(values.holdings)\n",
    "plt.plot(delegator_values_df.index, holdings_list)\n",
    "plt.title('GRT Holdings of Delegator 0xd776a7306ee6a060cebb46b46d305e88fd39ba84')\n",
    "plt.ylim(900000000, 10000000000);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1dff8bd-182c-407b-81bc-d5f4fdb18634",
   "metadata": {},
   "source": [
    "As we set holdings at a high amount to avoid negative values, we can't really see the 160% ROI the delegator made, will be able to see this is we are able to get the actual holdings of delegators. "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}