Snapshot Surfer 2 - Olympus Edition.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:47.890610Z",
     "end_time": "2023-04-05T17:55:47.986120Z"
    }
   },
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "import time\n",
    "from datetime import date\n",
    "from subgrounds.subgraph import SyntheticField, FieldPath\n",
    "from subgrounds.subgrounds import Subgrounds\n",
    "import pandas as pd\n",
    "import  os as os\n",
    "import duckdb as db\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import datetime as dt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "outputs": [],
   "source": [
    "sg = Subgrounds()\n",
    "snapshot = sg.load_api('https://hub.snapshot.org/graphql')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:47.897611Z",
     "end_time": "2023-04-05T17:55:48.208855Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "outputs": [],
   "source": [
    "snapshot.Proposal.datetime = SyntheticField(\n",
    "  lambda timestamp: str(datetime.fromtimestamp(timestamp)),\n",
    "  SyntheticField.STRING,\n",
    "  snapshot.Proposal.end,\n",
    ")"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:48.208855Z",
     "end_time": "2023-04-05T17:55:48.224855Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "olympusdao.eth\n"
     ]
    }
   ],
   "source": [
    "spacename = 'olympusdao.eth'\n",
    "\n",
    "# based on their url, for example \"curve.eth\" for  https://snapshot.org/#/curve.eth\n",
    "print  (spacename)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:48.224855Z",
     "end_time": "2023-04-05T17:55:48.299369Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "outputs": [],
   "source": [
    "proposals = snapshot.Query.proposals(\n",
    "  orderBy='created',\n",
    "  orderDirection='desc',\n",
    "  first=1000,\n",
    "  where=[\n",
    "    snapshot.Proposal.space == spacename, ##'fuse.eth',\n",
    "    snapshot.Proposal.state == 'closed'\n",
    "    ##snapshot.Proposal.title == 'OIP-18: Reward rate framework and reduction',\n",
    "  ]\n",
    ")\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:48.242857Z",
     "end_time": "2023-04-05T17:55:48.325366Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "outputs": [
    {
     "data": {
      "text/plain": "                                     proposals_title  proposals_created  \\\n0  OIP-136: Cross-chain native OHM as bonus proje...         1680108558   \n1                     TAP-22 - Treasury Segmentation         1680108259   \n2  OIP-135: Olympus Grants Program 1-Year Review ...         1679402793   \n3  AP-23 - Liquidity Incentives for Aura / Balanc...         1679325165   \n4  OIP 134: Hypernative as a security and risk de...         1679244244   \n5                     OIP-133: Staking Rate Strategy         1678428395   \n6       OIP-132: wstETH/OHM Boosted Liquidity Engine         1678427799   \n7  OIP 131: Boosted Liquidity Engine as a Key Pro...         1678126068   \n8  OIP-130: Lending AMO as a key DAO project for ...         1677691772   \n9   OOP-1 Funding request for 2023 Q1 and Q2 budget.         1677453933   \n\n                                        proposals_id  proposals_start  \\\n0  0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...       1680108526   \n1  0xebd3cf4c019ddf8eb637c816379c8b464fc20ee78284...       1680108233   \n2  0x246ccd5ab718a160f03e3dbbd1280ebb5389d3637946...       1679402748   \n3  0xde251686e7f312a5e524ba45f4115a887e31ab6a3cb5...       1679325106   \n4  0x58a7bc957b83e4a6424cb72d80bf3c3b0bd8025d0da1...       1679244167   \n5  0x0fbdc3e8adbda28970646743492623e92e3a7c2336d4...       1678428364   \n6  0x991058cca07d1e6f361217927a99951d200826e2ee57...       1678427767   \n7  0xe02d0e0d6cb2ad8e6a6512ab1d138d9ec6b64919715a...       1678125946   \n8  0x0e1173ac9585c4e46723d69ef1a4ef1995390d9d3f90...       1677691749   \n9  0xadd0850bb53fc31df236d61e2b53326748c80ef72f54...       1677453900   \n\n   proposals_end  proposals_votes         createdDate           startDate  \\\n0     1680367726               74 2023-03-29 16:49:18 2023-03-29 16:48:46   \n1     1680367433               63 2023-03-29 16:44:19 2023-03-29 16:43:53   \n2     1679686380               67 2023-03-21 12:46:33 2023-03-21 12:45:48   \n3     1679500800               50 2023-03-20 15:12:45 2023-03-20 15:11:46   \n4     1679503367               68 2023-03-19 16:44:04 2023-03-19 16:42:47   \n5     1678687564               76 2023-03-10 06:06:35 2023-03-10 06:06:04   \n6     1678686967               65 2023-03-10 05:56:39 2023-03-10 05:56:07   \n7     1678467600               80 2023-03-06 18:07:48 2023-03-06 18:05:46   \n8     1677950949               55 2023-03-01 17:29:32 2023-03-01 17:29:09   \n9     1677713100               60 2023-02-26 23:25:33 2023-02-26 23:25:00   \n\n              endDate  \n0 2023-04-01 16:48:46  \n1 2023-04-01 16:43:53  \n2 2023-03-24 19:33:00  \n3 2023-03-22 16:00:00  \n4 2023-03-22 16:42:47  \n5 2023-03-13 06:06:04  \n6 2023-03-13 05:56:07  \n7 2023-03-10 17:00:00  \n8 2023-03-04 17:29:09  \n9 2023-03-01 23:25:00  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\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>proposals_title</th>\n      <th>proposals_created</th>\n      <th>proposals_id</th>\n      <th>proposals_start</th>\n      <th>proposals_end</th>\n      <th>proposals_votes</th>\n      <th>createdDate</th>\n      <th>startDate</th>\n      <th>endDate</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>OIP-136: Cross-chain native OHM as bonus proje...</td>\n      <td>1680108558</td>\n      <td>0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...</td>\n      <td>1680108526</td>\n      <td>1680367726</td>\n      <td>74</td>\n      <td>2023-03-29 16:49:18</td>\n      <td>2023-03-29 16:48:46</td>\n      <td>2023-04-01 16:48:46</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>TAP-22 - Treasury Segmentation</td>\n      <td>1680108259</td>\n      <td>0xebd3cf4c019ddf8eb637c816379c8b464fc20ee78284...</td>\n      <td>1680108233</td>\n      <td>1680367433</td>\n      <td>63</td>\n      <td>2023-03-29 16:44:19</td>\n      <td>2023-03-29 16:43:53</td>\n      <td>2023-04-01 16:43:53</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>OIP-135: Olympus Grants Program 1-Year Review ...</td>\n      <td>1679402793</td>\n      <td>0x246ccd5ab718a160f03e3dbbd1280ebb5389d3637946...</td>\n      <td>1679402748</td>\n      <td>1679686380</td>\n      <td>67</td>\n      <td>2023-03-21 12:46:33</td>\n      <td>2023-03-21 12:45:48</td>\n      <td>2023-03-24 19:33:00</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>AP-23 - Liquidity Incentives for Aura / Balanc...</td>\n      <td>1679325165</td>\n      <td>0xde251686e7f312a5e524ba45f4115a887e31ab6a3cb5...</td>\n      <td>1679325106</td>\n      <td>1679500800</td>\n      <td>50</td>\n      <td>2023-03-20 15:12:45</td>\n      <td>2023-03-20 15:11:46</td>\n      <td>2023-03-22 16:00:00</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>OIP 134: Hypernative as a security and risk de...</td>\n      <td>1679244244</td>\n      <td>0x58a7bc957b83e4a6424cb72d80bf3c3b0bd8025d0da1...</td>\n      <td>1679244167</td>\n      <td>1679503367</td>\n      <td>68</td>\n      <td>2023-03-19 16:44:04</td>\n      <td>2023-03-19 16:42:47</td>\n      <td>2023-03-22 16:42:47</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>OIP-133: Staking Rate Strategy</td>\n      <td>1678428395</td>\n      <td>0x0fbdc3e8adbda28970646743492623e92e3a7c2336d4...</td>\n      <td>1678428364</td>\n      <td>1678687564</td>\n      <td>76</td>\n      <td>2023-03-10 06:06:35</td>\n      <td>2023-03-10 06:06:04</td>\n      <td>2023-03-13 06:06:04</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>OIP-132: wstETH/OHM Boosted Liquidity Engine</td>\n      <td>1678427799</td>\n      <td>0x991058cca07d1e6f361217927a99951d200826e2ee57...</td>\n      <td>1678427767</td>\n      <td>1678686967</td>\n      <td>65</td>\n      <td>2023-03-10 05:56:39</td>\n      <td>2023-03-10 05:56:07</td>\n      <td>2023-03-13 05:56:07</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>OIP 131: Boosted Liquidity Engine as a Key Pro...</td>\n      <td>1678126068</td>\n      <td>0xe02d0e0d6cb2ad8e6a6512ab1d138d9ec6b64919715a...</td>\n      <td>1678125946</td>\n      <td>1678467600</td>\n      <td>80</td>\n      <td>2023-03-06 18:07:48</td>\n      <td>2023-03-06 18:05:46</td>\n      <td>2023-03-10 17:00:00</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>OIP-130: Lending AMO as a key DAO project for ...</td>\n      <td>1677691772</td>\n      <td>0x0e1173ac9585c4e46723d69ef1a4ef1995390d9d3f90...</td>\n      <td>1677691749</td>\n      <td>1677950949</td>\n      <td>55</td>\n      <td>2023-03-01 17:29:32</td>\n      <td>2023-03-01 17:29:09</td>\n      <td>2023-03-04 17:29:09</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>OOP-1 Funding request for 2023 Q1 and Q2 budget.</td>\n      <td>1677453933</td>\n      <td>0xadd0850bb53fc31df236d61e2b53326748c80ef72f54...</td>\n      <td>1677453900</td>\n      <td>1677713100</td>\n      <td>60</td>\n      <td>2023-02-26 23:25:33</td>\n      <td>2023-02-26 23:25:00</td>\n      <td>2023-03-01 23:25:00</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "proposals_snapshots = sg.query_df([\n",
    "    proposals.title,\n",
    "    proposals.created,\n",
    "    proposals.id,\n",
    "    proposals.start,\n",
    "    proposals.end,\n",
    "    proposals.votes\n",
    "])\n",
    "\n",
    "proposals_snapshots['createdDate']=(pd.to_datetime(proposals_snapshots['proposals_created'],unit='s'))\n",
    "proposals_snapshots['startDate']=(pd.to_datetime(proposals_snapshots['proposals_start'],unit='s'))\n",
    "proposals_snapshots['endDate']=(pd.to_datetime(proposals_snapshots['proposals_end'],unit='s'))\n",
    "proposals_snapshots.head(10)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:48.257367Z",
     "end_time": "2023-04-05T17:55:48.569581Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "250\n"
     ]
    }
   ],
   "source": [
    "total_snapshots = len(proposals_snapshots)\n",
    "print(total_snapshots)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:48.570583Z",
     "end_time": "2023-04-05T17:55:48.618580Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "outputs": [
    {
     "data": {
      "text/plain": "                                   0                                 1     2  \\\n0      APPROVE OIP-136 bonus project      REJECT OIP-136 bonus project  None   \n1                     Approve TAP-22                     Reject TAP-22  None   \n2   Approve the changes as specified  Do not approve the changes as sp  None   \n3           Approve Incentive Budget                            Reject  None   \n4                                For                           Against  None   \n..                               ...                               ...   ...   \n95                   YES LETS DO IT!                                NO  None   \n96                               Yes                                No  None   \n97                               Yes                                No  None   \n98                               Yes                                No  None   \n99  For: Approve Balancer pool & LBP               Against: Do nothing  None   \n\n       3     4     5     6  \n0   None  None  None  None  \n1   None  None  None  None  \n2   None  None  None  None  \n3   None  None  None  None  \n4   None  None  None  None  \n..   ...   ...   ...   ...  \n95  None  None  None  None  \n96  None  None  None  None  \n97  None  None  None  None  \n98  None  None  None  None  \n99  None  None  None  None  \n\n[100 rows x 7 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\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>0</th>\n      <th>1</th>\n      <th>2</th>\n      <th>3</th>\n      <th>4</th>\n      <th>5</th>\n      <th>6</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>APPROVE OIP-136 bonus project</td>\n      <td>REJECT OIP-136 bonus project</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Approve TAP-22</td>\n      <td>Reject TAP-22</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Approve the changes as specified</td>\n      <td>Do not approve the changes as sp</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Approve Incentive Budget</td>\n      <td>Reject</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>For</td>\n      <td>Against</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>95</th>\n      <td>YES LETS DO IT!</td>\n      <td>NO</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>96</th>\n      <td>Yes</td>\n      <td>No</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>97</th>\n      <td>Yes</td>\n      <td>No</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>98</th>\n      <td>Yes</td>\n      <td>No</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>99</th>\n      <td>For: Approve Balancer pool &amp; LBP</td>\n      <td>Against: Do nothing</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>100 rows × 7 columns</p>\n</div>"
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "proposals_choices = sg.query(proposals.choices)\n",
    "proposals_choices = pd.DataFrame(proposals_choices)\n",
    "proposals_choices.head(100)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:48.585582Z",
     "end_time": "2023-04-05T17:55:48.766423Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "proposals_choices = sg.query(proposals.choices)\n",
    "proposals_choices = pd.DataFrame(proposals_choices, columns = ['option_1', 'option_2', 'option_3', 'option_4', 'option_5','option_6','option_7'])\n",
    "proposals_choices.head(100)"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "outputs": [
    {
     "data": {
      "text/plain": "                                     proposals_title  proposals_created  \\\n0  OIP-136: Cross-chain native OHM as bonus proje...         1680108558   \n1                     TAP-22 - Treasury Segmentation         1680108259   \n2  OIP-135: Olympus Grants Program 1-Year Review ...         1679402793   \n3  AP-23 - Liquidity Incentives for Aura / Balanc...         1679325165   \n4  OIP 134: Hypernative as a security and risk de...         1679244244   \n\n                                        proposals_id  proposals_start  \\\n0  0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...       1680108526   \n1  0xebd3cf4c019ddf8eb637c816379c8b464fc20ee78284...       1680108233   \n2  0x246ccd5ab718a160f03e3dbbd1280ebb5389d3637946...       1679402748   \n3  0xde251686e7f312a5e524ba45f4115a887e31ab6a3cb5...       1679325106   \n4  0x58a7bc957b83e4a6424cb72d80bf3c3b0bd8025d0da1...       1679244167   \n\n   proposals_end  proposals_votes         createdDate           startDate  \\\n0     1680367726               74 2023-03-29 16:49:18 2023-03-29 16:48:46   \n1     1680367433               63 2023-03-29 16:44:19 2023-03-29 16:43:53   \n2     1679686380               67 2023-03-21 12:46:33 2023-03-21 12:45:48   \n3     1679500800               50 2023-03-20 15:12:45 2023-03-20 15:11:46   \n4     1679503367               68 2023-03-19 16:44:04 2023-03-19 16:42:47   \n\n              endDate                                 0  \\\n0 2023-04-01 16:48:46     APPROVE OIP-136 bonus project   \n1 2023-04-01 16:43:53                    Approve TAP-22   \n2 2023-03-24 19:33:00  Approve the changes as specified   \n3 2023-03-22 16:00:00          Approve Incentive Budget   \n4 2023-03-22 16:42:47                               For   \n\n                                  1     2     3     4     5     6  \n0      REJECT OIP-136 bonus project  None  None  None  None  None  \n1                     Reject TAP-22  None  None  None  None  None  \n2  Do not approve the changes as sp  None  None  None  None  None  \n3                            Reject  None  None  None  None  None  \n4                           Against  None  None  None  None  None  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\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>proposals_title</th>\n      <th>proposals_created</th>\n      <th>proposals_id</th>\n      <th>proposals_start</th>\n      <th>proposals_end</th>\n      <th>proposals_votes</th>\n      <th>createdDate</th>\n      <th>startDate</th>\n      <th>endDate</th>\n      <th>0</th>\n      <th>1</th>\n      <th>2</th>\n      <th>3</th>\n      <th>4</th>\n      <th>5</th>\n      <th>6</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>OIP-136: Cross-chain native OHM as bonus proje...</td>\n      <td>1680108558</td>\n      <td>0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...</td>\n      <td>1680108526</td>\n      <td>1680367726</td>\n      <td>74</td>\n      <td>2023-03-29 16:49:18</td>\n      <td>2023-03-29 16:48:46</td>\n      <td>2023-04-01 16:48:46</td>\n      <td>APPROVE OIP-136 bonus project</td>\n      <td>REJECT OIP-136 bonus project</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>TAP-22 - Treasury Segmentation</td>\n      <td>1680108259</td>\n      <td>0xebd3cf4c019ddf8eb637c816379c8b464fc20ee78284...</td>\n      <td>1680108233</td>\n      <td>1680367433</td>\n      <td>63</td>\n      <td>2023-03-29 16:44:19</td>\n      <td>2023-03-29 16:43:53</td>\n      <td>2023-04-01 16:43:53</td>\n      <td>Approve TAP-22</td>\n      <td>Reject TAP-22</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>OIP-135: Olympus Grants Program 1-Year Review ...</td>\n      <td>1679402793</td>\n      <td>0x246ccd5ab718a160f03e3dbbd1280ebb5389d3637946...</td>\n      <td>1679402748</td>\n      <td>1679686380</td>\n      <td>67</td>\n      <td>2023-03-21 12:46:33</td>\n      <td>2023-03-21 12:45:48</td>\n      <td>2023-03-24 19:33:00</td>\n      <td>Approve the changes as specified</td>\n      <td>Do not approve the changes as sp</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>AP-23 - Liquidity Incentives for Aura / Balanc...</td>\n      <td>1679325165</td>\n      <td>0xde251686e7f312a5e524ba45f4115a887e31ab6a3cb5...</td>\n      <td>1679325106</td>\n      <td>1679500800</td>\n      <td>50</td>\n      <td>2023-03-20 15:12:45</td>\n      <td>2023-03-20 15:11:46</td>\n      <td>2023-03-22 16:00:00</td>\n      <td>Approve Incentive Budget</td>\n      <td>Reject</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>OIP 134: Hypernative as a security and risk de...</td>\n      <td>1679244244</td>\n      <td>0x58a7bc957b83e4a6424cb72d80bf3c3b0bd8025d0da1...</td>\n      <td>1679244167</td>\n      <td>1679503367</td>\n      <td>68</td>\n      <td>2023-03-19 16:44:04</td>\n      <td>2023-03-19 16:42:47</td>\n      <td>2023-03-22 16:42:47</td>\n      <td>For</td>\n      <td>Against</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olympus_governance_view = pd.DataFrame()\n",
    "olympus_governance_view = pd.concat([proposals_snapshots,proposals_choices], axis=1)\n",
    "olympus_governance_view.head(5)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:48.760424Z",
     "end_time": "2023-04-05T17:55:48.798423Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "outputs": [
    {
     "data": {
      "text/plain": "250"
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(olympus_governance_view)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:48.776424Z",
     "end_time": "2023-04-05T17:55:48.836424Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "outputs": [
    {
     "data": {
      "text/plain": "                                       proposals_title  proposals_created  \\\n0    OIP-136: Cross-chain native OHM as bonus proje...         1680108558   \n1                       TAP-22 - Treasury Segmentation         1680108259   \n2    OIP-135: Olympus Grants Program 1-Year Review ...         1679402793   \n3    AP-23 - Liquidity Incentives for Aura / Balanc...         1679325165   \n4    OIP 134: Hypernative as a security and risk de...         1679244244   \n..                                                 ...                ...   \n245                    OIP-5: Lower LP Staking Rewards         1619738500   \n246                                        Deposit SLP         1618764942   \n247                                      Loosen Policy         1618763632   \n248                                      Add DAI Bonds         1618763184   \n249                    Open an OHM-ETH Pool on Uniswap         1617377332   \n\n                                          proposals_id  proposals_start  \\\n0    0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...       1680108526   \n1    0xebd3cf4c019ddf8eb637c816379c8b464fc20ee78284...       1680108233   \n2    0x246ccd5ab718a160f03e3dbbd1280ebb5389d3637946...       1679402748   \n3    0xde251686e7f312a5e524ba45f4115a887e31ab6a3cb5...       1679325106   \n4    0x58a7bc957b83e4a6424cb72d80bf3c3b0bd8025d0da1...       1679244167   \n..                                                 ...              ...   \n245     QmTrwGU99RMqTeeCKy5oW9Le9M2mXHHdNeEWzn7T67watz       1619737200   \n246     QmZhSNWAzrDy5KiGSeBsKBXUHW6D4vJnfCuqmdai8LPETd       1618761600   \n247     QmZJb2evEjsxtLz92XBuhApWty69fVqUpFHzuVjMjCd3Se       1618761600   \n248     QmUC5xa4YaWZBV7fy241svBQ8bHSMksm8kB7avk1WyWv9m       1618761600   \n249     QmVaYYojHUCqVhM835eSWtih6CyF1koQpSinPg9Kyw21RN       1617552000   \n\n     proposals_end  proposals_votes         createdDate           startDate  \\\n0       1680367726               74 2023-03-29 16:49:18 2023-03-29 16:48:46   \n1       1680367433               63 2023-03-29 16:44:19 2023-03-29 16:43:53   \n2       1679686380               67 2023-03-21 12:46:33 2023-03-21 12:45:48   \n3       1679500800               50 2023-03-20 15:12:45 2023-03-20 15:11:46   \n4       1679503367               68 2023-03-19 16:44:04 2023-03-19 16:42:47   \n..             ...              ...                 ...                 ...   \n245     1619985600              276 2021-04-29 23:21:40 2021-04-29 23:00:00   \n246     1618934400              225 2021-04-18 16:55:42 2021-04-18 16:00:00   \n247     1618934400              229 2021-04-18 16:33:52 2021-04-18 16:00:00   \n248     1618934400              235 2021-04-18 16:26:24 2021-04-18 16:00:00   \n249     1617724800              225 2021-04-02 15:28:52 2021-04-04 16:00:00   \n\n                endDate                                 0  \\\n0   2023-04-01 16:48:46     APPROVE OIP-136 bonus project   \n1   2023-04-01 16:43:53                    Approve TAP-22   \n2   2023-03-24 19:33:00  Approve the changes as specified   \n3   2023-03-22 16:00:00          Approve Incentive Budget   \n4   2023-03-22 16:42:47                               For   \n..                  ...                               ...   \n245 2021-05-02 20:00:00                     For: Option 1   \n246 2021-04-20 16:00:00               Deposit; keep Onsen   \n247 2021-04-20 16:00:00                             Do it   \n248 2021-04-20 16:00:00                 Add; remove sales   \n249 2021-04-06 16:00:00  Add OHM/ETH pair, adjust rewards   \n\n                                    1                        2           3  \\\n0        REJECT OIP-136 bonus project                     None        None   \n1                       Reject TAP-22                     None        None   \n2    Do not approve the changes as sp                     None        None   \n3                              Reject                     None        None   \n4                             Against                     None        None   \n..                                ...                      ...         ...   \n245                     For: Option 2                  Against        None   \n246                 Deposit; no Onsen            Don't deposit        None   \n247                       Don't do it                     None        None   \n248              Add; phase out sales          Add; keep sales  Do not add   \n249     Add OHM/ETH pair, add rewards  Do not add OHM/ETH pair        None   \n\n        4     5     6  \n0    None  None  None  \n1    None  None  None  \n2    None  None  None  \n3    None  None  None  \n4    None  None  None  \n..    ...   ...   ...  \n245  None  None  None  \n246  None  None  None  \n247  None  None  None  \n248  None  None  None  \n249  None  None  None  \n\n[250 rows x 16 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\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>proposals_title</th>\n      <th>proposals_created</th>\n      <th>proposals_id</th>\n      <th>proposals_start</th>\n      <th>proposals_end</th>\n      <th>proposals_votes</th>\n      <th>createdDate</th>\n      <th>startDate</th>\n      <th>endDate</th>\n      <th>0</th>\n      <th>1</th>\n      <th>2</th>\n      <th>3</th>\n      <th>4</th>\n      <th>5</th>\n      <th>6</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>OIP-136: Cross-chain native OHM as bonus proje...</td>\n      <td>1680108558</td>\n      <td>0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...</td>\n      <td>1680108526</td>\n      <td>1680367726</td>\n      <td>74</td>\n      <td>2023-03-29 16:49:18</td>\n      <td>2023-03-29 16:48:46</td>\n      <td>2023-04-01 16:48:46</td>\n      <td>APPROVE OIP-136 bonus project</td>\n      <td>REJECT OIP-136 bonus project</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>TAP-22 - Treasury Segmentation</td>\n      <td>1680108259</td>\n      <td>0xebd3cf4c019ddf8eb637c816379c8b464fc20ee78284...</td>\n      <td>1680108233</td>\n      <td>1680367433</td>\n      <td>63</td>\n      <td>2023-03-29 16:44:19</td>\n      <td>2023-03-29 16:43:53</td>\n      <td>2023-04-01 16:43:53</td>\n      <td>Approve TAP-22</td>\n      <td>Reject TAP-22</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>OIP-135: Olympus Grants Program 1-Year Review ...</td>\n      <td>1679402793</td>\n      <td>0x246ccd5ab718a160f03e3dbbd1280ebb5389d3637946...</td>\n      <td>1679402748</td>\n      <td>1679686380</td>\n      <td>67</td>\n      <td>2023-03-21 12:46:33</td>\n      <td>2023-03-21 12:45:48</td>\n      <td>2023-03-24 19:33:00</td>\n      <td>Approve the changes as specified</td>\n      <td>Do not approve the changes as sp</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>AP-23 - Liquidity Incentives for Aura / Balanc...</td>\n      <td>1679325165</td>\n      <td>0xde251686e7f312a5e524ba45f4115a887e31ab6a3cb5...</td>\n      <td>1679325106</td>\n      <td>1679500800</td>\n      <td>50</td>\n      <td>2023-03-20 15:12:45</td>\n      <td>2023-03-20 15:11:46</td>\n      <td>2023-03-22 16:00:00</td>\n      <td>Approve Incentive Budget</td>\n      <td>Reject</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>OIP 134: Hypernative as a security and risk de...</td>\n      <td>1679244244</td>\n      <td>0x58a7bc957b83e4a6424cb72d80bf3c3b0bd8025d0da1...</td>\n      <td>1679244167</td>\n      <td>1679503367</td>\n      <td>68</td>\n      <td>2023-03-19 16:44:04</td>\n      <td>2023-03-19 16:42:47</td>\n      <td>2023-03-22 16:42:47</td>\n      <td>For</td>\n      <td>Against</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>245</th>\n      <td>OIP-5: Lower LP Staking Rewards</td>\n      <td>1619738500</td>\n      <td>QmTrwGU99RMqTeeCKy5oW9Le9M2mXHHdNeEWzn7T67watz</td>\n      <td>1619737200</td>\n      <td>1619985600</td>\n      <td>276</td>\n      <td>2021-04-29 23:21:40</td>\n      <td>2021-04-29 23:00:00</td>\n      <td>2021-05-02 20:00:00</td>\n      <td>For: Option 1</td>\n      <td>For: Option 2</td>\n      <td>Against</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>246</th>\n      <td>Deposit SLP</td>\n      <td>1618764942</td>\n      <td>QmZhSNWAzrDy5KiGSeBsKBXUHW6D4vJnfCuqmdai8LPETd</td>\n      <td>1618761600</td>\n      <td>1618934400</td>\n      <td>225</td>\n      <td>2021-04-18 16:55:42</td>\n      <td>2021-04-18 16:00:00</td>\n      <td>2021-04-20 16:00:00</td>\n      <td>Deposit; keep Onsen</td>\n      <td>Deposit; no Onsen</td>\n      <td>Don't deposit</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>247</th>\n      <td>Loosen Policy</td>\n      <td>1618763632</td>\n      <td>QmZJb2evEjsxtLz92XBuhApWty69fVqUpFHzuVjMjCd3Se</td>\n      <td>1618761600</td>\n      <td>1618934400</td>\n      <td>229</td>\n      <td>2021-04-18 16:33:52</td>\n      <td>2021-04-18 16:00:00</td>\n      <td>2021-04-20 16:00:00</td>\n      <td>Do it</td>\n      <td>Don't do it</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>248</th>\n      <td>Add DAI Bonds</td>\n      <td>1618763184</td>\n      <td>QmUC5xa4YaWZBV7fy241svBQ8bHSMksm8kB7avk1WyWv9m</td>\n      <td>1618761600</td>\n      <td>1618934400</td>\n      <td>235</td>\n      <td>2021-04-18 16:26:24</td>\n      <td>2021-04-18 16:00:00</td>\n      <td>2021-04-20 16:00:00</td>\n      <td>Add; remove sales</td>\n      <td>Add; phase out sales</td>\n      <td>Add; keep sales</td>\n      <td>Do not add</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>249</th>\n      <td>Open an OHM-ETH Pool on Uniswap</td>\n      <td>1617377332</td>\n      <td>QmVaYYojHUCqVhM835eSWtih6CyF1koQpSinPg9Kyw21RN</td>\n      <td>1617552000</td>\n      <td>1617724800</td>\n      <td>225</td>\n      <td>2021-04-02 15:28:52</td>\n      <td>2021-04-04 16:00:00</td>\n      <td>2021-04-06 16:00:00</td>\n      <td>Add OHM/ETH pair, adjust rewards</td>\n      <td>Add OHM/ETH pair, add rewards</td>\n      <td>Do not add OHM/ETH pair</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>250 rows × 16 columns</p>\n</div>"
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olympus_governance_view.drop_duplicates()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:48.792425Z",
     "end_time": "2023-04-05T17:55:48.883937Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "outputs": [
    {
     "data": {
      "text/plain": "250"
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(olympus_governance_view)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:48.807424Z",
     "end_time": "2023-04-05T17:55:48.931936Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ticker 0 proposal 0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907b2e08101800196356cb0 records: 74 DB size: 74     -days ago: 4      -date 2023-04-01 16:18:43     -exit? False\n",
      "ticker 1 proposal 0xebd3cf4c019ddf8eb637c816379c8b464fc20ee78284a129bbeb1456370f8c0d records: 63 DB size: 137     -days ago: 4      -date 2023-04-01 13:15:20     -exit? False\n",
      "ticker 2 proposal 0x246ccd5ab718a160f03e3dbbd1280ebb5389d3637946f73f128af10995288538 records: 67 DB size: 204     -days ago: 12      -date 2023-03-24 15:58:12     -exit? False\n",
      "ticker 3 proposal 0xde251686e7f312a5e524ba45f4115a887e31ab6a3cb5c2400a0f273d4db2a9c5 records: 50 DB size: 254     -days ago: 14      -date 2023-03-22 10:19:54     -exit? False\n",
      "ticker 4 proposal 0x58a7bc957b83e4a6424cb72d80bf3c3b0bd8025d0da11d4717fb0a657eafcbd8 records: 68 DB size: 322     -days ago: 14      -date 2023-03-22 02:48:08     -exit? False\n",
      "ticker 5 proposal 0x0fbdc3e8adbda28970646743492623e92e3a7c2336d453a07d6a090089c72ecf records: 76 DB size: 398     -days ago: 23      -date 2023-03-12 21:10:21     -exit? False\n",
      "ticker 6 proposal 0x991058cca07d1e6f361217927a99951d200826e2ee5781a5c04d8f01e376167d records: 65 DB size: 463     -days ago: 23      -date 2023-03-12 20:05:53     -exit? False\n",
      "ticker 7 proposal 0xe02d0e0d6cb2ad8e6a6512ab1d138d9ec6b64919715a3a5257536548b590a3b3 records: 80 DB size: 543     -days ago: 26      -date 2023-03-10 04:46:45     -exit? False\n",
      "ticker 8 proposal 0x0e1173ac9585c4e46723d69ef1a4ef1995390d9d3f90b5627fb4fc6335492300 records: 55 DB size: 598     -days ago: 33      -date 2023-03-03 11:27:06     -exit? False\n",
      "ticker 9 proposal 0xadd0850bb53fc31df236d61e2b53326748c80ef72f543ce8e997b1f6616dc8be records: 60 DB size: 658     -days ago: 35      -date 2023-03-01 14:56:43     -exit? False\n",
      "ticker 10 proposal 0x7065c53c88cff153efefc4dc042f81d795011cfdfa29a367dfbf4b1916b327d9 records: 101 DB size: 759     -days ago: 51      -date 2023-02-13 16:39:34     -exit? False\n",
      "ticker 11 proposal 0xe1f1a1eea2da4d8c74a5b2f840eb7dce8c8143926b35e61df38b332c4eabb9ed records: 96 DB size: 855     -days ago: 54      -date 2023-02-09 19:05:44     -exit? False\n",
      "ticker 12 proposal 0x58f5e9709fd2a69c7695ab69d9aa3d6f29b354c0abd347f9d5a326fb658efd92 records: 93 DB size: 948     -days ago: 61      -date 2023-02-03 07:49:11     -exit? False\n",
      "ticker 13 proposal 0x5a8c1550f2781d7c1587bf74a793a87f149774c6b5c3d3a743dd67741f91f4ef records: 92 DB size: 1040     -days ago: 62      -date 2023-02-02 08:39:25     -exit? False\n",
      "ticker 14 proposal 0x7e787218d495849b505d575088c7cf1c7c8de44b79fb81205dcf9f804b781c3a records: 83 DB size: 1123     -days ago: 62      -date 2023-02-01 21:56:24     -exit? False\n",
      "ticker 15 proposal 0x5c3b454300357b90e4dbe1866a20b02010dcaa7a74070814bb6f3ea1aacc630b records: 50 DB size: 1173     -days ago: 74      -date 2023-01-20 18:14:43     -exit? False\n",
      "ticker 16 proposal 0x0aa9d7913eeaa0bde3b502b02aec8e407fd0898a773df7042475d392d0faaae5 records: 88 DB size: 1261     -days ago: 77      -date 2023-01-18 14:39:29     -exit? False\n",
      "ticker 17 proposal 0xda3c3616164ae0674c1df2f54cc5734e8af86b99fe0c3b3075e2a49ca665aef1 records: 60 DB size: 1321     -days ago: 82      -date 2023-01-13 17:33:36     -exit? False\n",
      "ticker 18 proposal 0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa19040b4091a91bbc6c6d504 records: 93 DB size: 1414     -days ago: 82      -date 2023-01-13 04:35:37     -exit? False\n",
      "ticker 19 proposal 0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd6252cacad965549d0994d7 records: 90 DB size: 1504     -days ago: 90      -date 2023-01-05 11:46:15     -exit? False\n",
      "Done. Total Records collected:  1504\n"
     ]
    }
   ],
   "source": [
    "##this captures the ENTIRE list of people who voted\n",
    "voteTicker = 0\n",
    "totalProposals = len(olympus_governance_view)\n",
    "voteslist = pd.DataFrame()\n",
    "votesDb = pd.DataFrame()\n",
    "voteListLength = 1000\n",
    "datediff = 0\n",
    "now=0\n",
    "daysAgo=0\n",
    "daysLimit = 90\n",
    "datediff=0\n",
    "epochlimit = (90*86400)\n",
    "ut = time.time()\n",
    "limitTimestamp = int(ut - epochlimit)\n",
    "limitDate = datetime.fromtimestamp(limitTimestamp)\n",
    "limitDate = limitDate.strftime('%m-%d-%Y')\n",
    "exit = False\n",
    "\n",
    "while int(datediff) < int(daysLimit):\n",
    "    proposal_id = olympus_governance_view.iloc[voteTicker,2]\n",
    "    skipValue = (voteTicker)*(1000)\n",
    "    vote_tracker = snapshot.Query.votes(\n",
    "        #orderBy = 'created',\n",
    "        #orderDirection='asc',\n",
    "        first=1000,\n",
    "        where=[\n",
    "          snapshot.Vote.proposal == proposal_id\n",
    "          #snapshot.Vote.created > limitTimestamp\n",
    "        ]\n",
    "    )\n",
    "    voting_snapshots = sg.query_df([\n",
    "    vote_tracker.id,\n",
    "    vote_tracker.voter,\n",
    "    vote_tracker.created,\n",
    "    vote_tracker.choice,\n",
    "    vote_tracker.vp\n",
    "    ])\n",
    "\n",
    "\n",
    "    voting_snapshots['proposals_id']= olympus_governance_view.iloc[voteTicker,2]\n",
    "    #voteDate = votesDb.iat[voteTicker,4]\n",
    "\n",
    "    votesDb=pd.concat([voting_snapshots, votesDb])\n",
    "    votesDb['createdDate']=(pd.to_datetime(votesDb['votes_created'],unit='s'))\n",
    "    then = votesDb.iat[voteTicker,6]\n",
    "    now = datetime.now()\n",
    "    delta = now-then\n",
    "    datediff = delta.days\n",
    "    votesDbLength = len(votesDb)\n",
    "    voteListLength = len(voting_snapshots)\n",
    "    recordTimestamp1 = votesDb.iat[voteTicker,2]\n",
    "    recordTimestamp = dt.datetime.fromtimestamp( recordTimestamp1 )\n",
    "    now = (int(dt.datetime.utcnow().timestamp()))\n",
    "    #datediff=abs(int(now) - recordTimestamp1)\n",
    "\n",
    "    if int(datediff) > int(daysLimit):\n",
    "        exit\n",
    "    if voteTicker== totalProposals:\n",
    "        exit\n",
    "\n",
    "    print('ticker', voteTicker, 'proposal',proposal_id, 'records:',voteListLength, 'DB size:',votesDbLength, '    -days ago:', datediff, '     -date', then, '    -exit?', exit )\n",
    "    #print(proposal_id, voteDate, datediff)\n",
    "    voteTicker = voteTicker+1\n",
    "\n",
    "votesDb.drop_duplicates\n",
    "print(\"Done. Total Records collected: \", votesDbLength)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:48.828424Z",
     "end_time": "2023-04-05T17:55:52.108097Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "outputs": [
    {
     "data": {
      "text/plain": "                                             votes_id  \\\n0   0x75e9a9a057531880e410cbf20a782e1e81dea9eea00e...   \n1   0x20bf5d2a46c01cd76503299a865b1365b61160243b7f...   \n2   0x806dfeffbec7a44484284a5aaa641580a4d80beebc56...   \n3   0x58485cd6024079d9973c8767ffd2f16ac3cefc869d49...   \n4   0xd8b0f20e080f760268b3d495158b4ad7dea745ca3a67...   \n..                                                ...   \n5   0xdbb34683175e56bd5879e232e5b8c0a6f2902ad00c34...   \n6   0xa40d5e9119b1d02f0d0be9151d21cdc561ec8b5c6650...   \n7   0xb7f71759790b0b35fdcea17daed1dcd7055f0dd3557d...   \n8   0xf460baedb4578ad176049603968d50b50015c0b3f124...   \n9   0xd00bb060166367a286f2be712000749f9bb98adc1dcf...   \n\n                                   votes_voter  votes_created  votes_choice  \\\n0   0x24eE97586fE0B6374667ef16abF9030189568AfE     1673010290             1   \n1   0x9f7914f3Af230181ee5E907417a65a530dDfFACA     1673002025             1   \n2   0x0fADCD8D7862bB2B39d63d6a30C6b7c660c41D32     1672986902             1   \n3   0x4060914d070dD6d15bfACb136a46F24022338e40     1672973839             1   \n4   0x1200Eb4fA3dF9903fC6EfF1d7A4a5D17502329b2     1672966974             1   \n..                                         ...            ...           ...   \n5   0xA06102d156249B577E19c20E40a76F9338b268Df     1673609625             1   \n6   0x131D97f8a0b172b5f65712c52478fA3a35Acd83e     1673606317             1   \n7   0x62af5627B911B3BE86D03C64d67f01bB2b2e3a0f     1673602653             1   \n8   0x2A92195A610f21f8DA1801Ff9756Aaa11319Ef68     1673600003             1   \n9   0xBDbFdf3e82fC9d2bE1352e252aB1Ce2287fC2122     1673599259             1   \n\n      votes_vp                                       proposals_id  \\\n0    16.508497  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n1   220.073781  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n2    35.423589  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n3    19.838213  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n4    19.645784  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n..         ...                                                ...   \n5    58.292511  0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...   \n6    78.444395  0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...   \n7    17.013042  0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...   \n8    11.078453  0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...   \n9    68.180647  0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...   \n\n           createdDate  \n0  2023-01-06 13:04:50  \n1  2023-01-06 10:47:05  \n2  2023-01-06 06:35:02  \n3  2023-01-06 02:57:19  \n4  2023-01-06 01:02:54  \n..                 ...  \n5  2023-01-13 11:33:45  \n6  2023-01-13 10:38:37  \n7  2023-01-13 09:37:33  \n8  2023-01-13 08:53:23  \n9  2023-01-13 08:40:59  \n\n[100 rows x 7 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\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>votes_id</th>\n      <th>votes_voter</th>\n      <th>votes_created</th>\n      <th>votes_choice</th>\n      <th>votes_vp</th>\n      <th>proposals_id</th>\n      <th>createdDate</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0x75e9a9a057531880e410cbf20a782e1e81dea9eea00e...</td>\n      <td>0x24eE97586fE0B6374667ef16abF9030189568AfE</td>\n      <td>1673010290</td>\n      <td>1</td>\n      <td>16.508497</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-06 13:04:50</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0x20bf5d2a46c01cd76503299a865b1365b61160243b7f...</td>\n      <td>0x9f7914f3Af230181ee5E907417a65a530dDfFACA</td>\n      <td>1673002025</td>\n      <td>1</td>\n      <td>220.073781</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-06 10:47:05</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0x806dfeffbec7a44484284a5aaa641580a4d80beebc56...</td>\n      <td>0x0fADCD8D7862bB2B39d63d6a30C6b7c660c41D32</td>\n      <td>1672986902</td>\n      <td>1</td>\n      <td>35.423589</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-06 06:35:02</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0x58485cd6024079d9973c8767ffd2f16ac3cefc869d49...</td>\n      <td>0x4060914d070dD6d15bfACb136a46F24022338e40</td>\n      <td>1672973839</td>\n      <td>1</td>\n      <td>19.838213</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-06 02:57:19</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0xd8b0f20e080f760268b3d495158b4ad7dea745ca3a67...</td>\n      <td>0x1200Eb4fA3dF9903fC6EfF1d7A4a5D17502329b2</td>\n      <td>1672966974</td>\n      <td>1</td>\n      <td>19.645784</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-06 01:02:54</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>0xdbb34683175e56bd5879e232e5b8c0a6f2902ad00c34...</td>\n      <td>0xA06102d156249B577E19c20E40a76F9338b268Df</td>\n      <td>1673609625</td>\n      <td>1</td>\n      <td>58.292511</td>\n      <td>0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...</td>\n      <td>2023-01-13 11:33:45</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>0xa40d5e9119b1d02f0d0be9151d21cdc561ec8b5c6650...</td>\n      <td>0x131D97f8a0b172b5f65712c52478fA3a35Acd83e</td>\n      <td>1673606317</td>\n      <td>1</td>\n      <td>78.444395</td>\n      <td>0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...</td>\n      <td>2023-01-13 10:38:37</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>0xb7f71759790b0b35fdcea17daed1dcd7055f0dd3557d...</td>\n      <td>0x62af5627B911B3BE86D03C64d67f01bB2b2e3a0f</td>\n      <td>1673602653</td>\n      <td>1</td>\n      <td>17.013042</td>\n      <td>0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...</td>\n      <td>2023-01-13 09:37:33</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>0xf460baedb4578ad176049603968d50b50015c0b3f124...</td>\n      <td>0x2A92195A610f21f8DA1801Ff9756Aaa11319Ef68</td>\n      <td>1673600003</td>\n      <td>1</td>\n      <td>11.078453</td>\n      <td>0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...</td>\n      <td>2023-01-13 08:53:23</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>0xd00bb060166367a286f2be712000749f9bb98adc1dcf...</td>\n      <td>0xBDbFdf3e82fC9d2bE1352e252aB1Ce2287fC2122</td>\n      <td>1673599259</td>\n      <td>1</td>\n      <td>68.180647</td>\n      <td>0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...</td>\n      <td>2023-01-13 08:40:59</td>\n    </tr>\n  </tbody>\n</table>\n<p>100 rows × 7 columns</p>\n</div>"
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "votesDb.head(100)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:52.110099Z",
     "end_time": "2023-04-05T17:55:52.125101Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "outputs": [
    {
     "data": {
      "text/plain": "                                             votes_id  \\\n0   0x75e9a9a057531880e410cbf20a782e1e81dea9eea00e...   \n1   0x20bf5d2a46c01cd76503299a865b1365b61160243b7f...   \n2   0x806dfeffbec7a44484284a5aaa641580a4d80beebc56...   \n3   0x58485cd6024079d9973c8767ffd2f16ac3cefc869d49...   \n4   0xd8b0f20e080f760268b3d495158b4ad7dea745ca3a67...   \n..                                                ...   \n69  0xb6ba2e99d78ca66ac4261cbe3b05e3d6041418134fa0...   \n70  0x9a3b282dc10d9598bdec64a0199cce24318c4956997b...   \n71  0xe7bc54be971305ef2247c14a190ef56521a353d837b5...   \n72  0xfc1d1c58909cd385fbc5d4f3c5795df4899edfc93d11...   \n73  0x34d6da8ff35ad6cb78fc3b2b1d380ee2dc6f017d21fb...   \n\n                                   votes_voter  votes_created  votes_choice  \\\n0   0x24eE97586fE0B6374667ef16abF9030189568AfE     1673010290             1   \n1   0x9f7914f3Af230181ee5E907417a65a530dDfFACA     1673002025             1   \n2   0x0fADCD8D7862bB2B39d63d6a30C6b7c660c41D32     1672986902             1   \n3   0x4060914d070dD6d15bfACb136a46F24022338e40     1672973839             1   \n4   0x1200Eb4fA3dF9903fC6EfF1d7A4a5D17502329b2     1672966974             1   \n..                                         ...            ...           ...   \n69  0x4900EB80bD15E59D221f7ffd0307B808EC6699d8     1680116772             1   \n70  0x4e99BfBEE1020138eACC68a32eD7Fc6DD2EFc08f     1680116656             1   \n71  0x721Ca5428eC12b148b34458E0f8557F4C9624630     1680115459             1   \n72  0x36d9b6A89196042B5450b4687Aa7C5c315C22Aa9     1680115066             2   \n73  0x51A7914e2B6246D9DA55849354EA692A370B0673     1680114321             1   \n\n       votes_vp                                       proposals_id  \\\n0     16.508497  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n1    220.073781  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n2     35.423589  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n3     19.838213  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n4     19.645784  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n..          ...                                                ...   \n69   379.423030  0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...   \n70    54.283578  0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...   \n71  9633.538065  0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...   \n72     0.016506  0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...   \n73    37.081379  0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...   \n\n              voteDate  \n0  2023-01-06 13:04:50  \n1  2023-01-06 10:47:05  \n2  2023-01-06 06:35:02  \n3  2023-01-06 02:57:19  \n4  2023-01-06 01:02:54  \n..                 ...  \n69 2023-03-29 19:06:12  \n70 2023-03-29 19:04:16  \n71 2023-03-29 18:44:19  \n72 2023-03-29 18:37:46  \n73 2023-03-29 18:25:21  \n\n[1504 rows x 7 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\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>votes_id</th>\n      <th>votes_voter</th>\n      <th>votes_created</th>\n      <th>votes_choice</th>\n      <th>votes_vp</th>\n      <th>proposals_id</th>\n      <th>voteDate</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0x75e9a9a057531880e410cbf20a782e1e81dea9eea00e...</td>\n      <td>0x24eE97586fE0B6374667ef16abF9030189568AfE</td>\n      <td>1673010290</td>\n      <td>1</td>\n      <td>16.508497</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-06 13:04:50</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0x20bf5d2a46c01cd76503299a865b1365b61160243b7f...</td>\n      <td>0x9f7914f3Af230181ee5E907417a65a530dDfFACA</td>\n      <td>1673002025</td>\n      <td>1</td>\n      <td>220.073781</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-06 10:47:05</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0x806dfeffbec7a44484284a5aaa641580a4d80beebc56...</td>\n      <td>0x0fADCD8D7862bB2B39d63d6a30C6b7c660c41D32</td>\n      <td>1672986902</td>\n      <td>1</td>\n      <td>35.423589</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-06 06:35:02</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0x58485cd6024079d9973c8767ffd2f16ac3cefc869d49...</td>\n      <td>0x4060914d070dD6d15bfACb136a46F24022338e40</td>\n      <td>1672973839</td>\n      <td>1</td>\n      <td>19.838213</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-06 02:57:19</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0xd8b0f20e080f760268b3d495158b4ad7dea745ca3a67...</td>\n      <td>0x1200Eb4fA3dF9903fC6EfF1d7A4a5D17502329b2</td>\n      <td>1672966974</td>\n      <td>1</td>\n      <td>19.645784</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-06 01:02:54</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>69</th>\n      <td>0xb6ba2e99d78ca66ac4261cbe3b05e3d6041418134fa0...</td>\n      <td>0x4900EB80bD15E59D221f7ffd0307B808EC6699d8</td>\n      <td>1680116772</td>\n      <td>1</td>\n      <td>379.423030</td>\n      <td>0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...</td>\n      <td>2023-03-29 19:06:12</td>\n    </tr>\n    <tr>\n      <th>70</th>\n      <td>0x9a3b282dc10d9598bdec64a0199cce24318c4956997b...</td>\n      <td>0x4e99BfBEE1020138eACC68a32eD7Fc6DD2EFc08f</td>\n      <td>1680116656</td>\n      <td>1</td>\n      <td>54.283578</td>\n      <td>0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...</td>\n      <td>2023-03-29 19:04:16</td>\n    </tr>\n    <tr>\n      <th>71</th>\n      <td>0xe7bc54be971305ef2247c14a190ef56521a353d837b5...</td>\n      <td>0x721Ca5428eC12b148b34458E0f8557F4C9624630</td>\n      <td>1680115459</td>\n      <td>1</td>\n      <td>9633.538065</td>\n      <td>0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...</td>\n      <td>2023-03-29 18:44:19</td>\n    </tr>\n    <tr>\n      <th>72</th>\n      <td>0xfc1d1c58909cd385fbc5d4f3c5795df4899edfc93d11...</td>\n      <td>0x36d9b6A89196042B5450b4687Aa7C5c315C22Aa9</td>\n      <td>1680115066</td>\n      <td>2</td>\n      <td>0.016506</td>\n      <td>0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...</td>\n      <td>2023-03-29 18:37:46</td>\n    </tr>\n    <tr>\n      <th>73</th>\n      <td>0x34d6da8ff35ad6cb78fc3b2b1d380ee2dc6f017d21fb...</td>\n      <td>0x51A7914e2B6246D9DA55849354EA692A370B0673</td>\n      <td>1680114321</td>\n      <td>1</td>\n      <td>37.081379</td>\n      <td>0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...</td>\n      <td>2023-03-29 18:25:21</td>\n    </tr>\n  </tbody>\n</table>\n<p>1504 rows × 7 columns</p>\n</div>"
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "votesDb.rename(columns={\"createdDate\": \"voteDate\"}, inplace = True)\n",
    "votesDb.drop_duplicates(inplace=True)\n",
    "votesDb.drop_duplicates()\n",
    "votesDb.head(10000)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:52.125101Z",
     "end_time": "2023-04-05T17:55:52.253617Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "outputs": [
    {
     "data": {
      "text/plain": "                                       proposals_title  proposals_created  \\\n0    OIP-136: Cross-chain native OHM as bonus proje...         1680108558   \n1                       TAP-22 - Treasury Segmentation         1680108259   \n2    OIP-135: Olympus Grants Program 1-Year Review ...         1679402793   \n3    AP-23 - Liquidity Incentives for Aura / Balanc...         1679325165   \n4    OIP 134: Hypernative as a security and risk de...         1679244244   \n..                                                 ...                ...   \n195                         Add Solana to the treasury         1636135531   \n196  OIP-40: Increase ETH allocation target to 33% ...         1635946482   \n197  Should Olympus consider a borrowing function t...         1635807292   \n198                        Add Bitcoin to the treasury         1635795938   \n199                      Replace 50% of SUSHI With UNI         1635688147   \n\n                                          proposals_id  proposals_start  \\\n0    0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...       1680108526   \n1    0xebd3cf4c019ddf8eb637c816379c8b464fc20ee78284...       1680108233   \n2    0x246ccd5ab718a160f03e3dbbd1280ebb5389d3637946...       1679402748   \n3    0xde251686e7f312a5e524ba45f4115a887e31ab6a3cb5...       1679325106   \n4    0x58a7bc957b83e4a6424cb72d80bf3c3b0bd8025d0da1...       1679244167   \n..                                                 ...              ...   \n195  0x78d50cf71b8e89d105655fb5d688c95333c27a13c911...       1636135800   \n196  0x2422366345ed6a393f31a0ef53cf22834d2342349d32...       1635946500   \n197  0x807f0e24c1d5f710ab3ac8aeb3397ca90abc30790f5a...       1635804000   \n198  0x255a4e0b695ce686ab9bef5e5b7a33f2dc84b62a7d83...       1635739200   \n199  0xbf360d51c5b6bfa9efeb02ffff29c5ff66c3d5048472...       1635688800   \n\n     proposals_end  proposals_votes         createdDate           startDate  \\\n0       1680367726               74 2023-03-29 16:49:18 2023-03-29 16:48:46   \n1       1680367433               63 2023-03-29 16:44:19 2023-03-29 16:43:53   \n2       1679686380               67 2023-03-21 12:46:33 2023-03-21 12:45:48   \n3       1679500800               50 2023-03-20 15:12:45 2023-03-20 15:11:46   \n4       1679503367               68 2023-03-19 16:44:04 2023-03-19 16:42:47   \n..             ...              ...                 ...                 ...   \n195     1637582400              276 2021-11-05 18:05:31 2021-11-05 18:10:00   \n196     1636205700              418 2021-11-03 13:34:42 2021-11-03 13:35:00   \n197     1636041600              160 2021-11-01 22:54:52 2021-11-01 22:00:00   \n198     1638291600              339 2021-11-01 19:45:38 2021-11-01 04:00:00   \n199     1636095600              145 2021-10-31 13:49:07 2021-10-31 14:00:00   \n\n                endDate                                 0  \\\n0   2023-04-01 16:48:46     APPROVE OIP-136 bonus project   \n1   2023-04-01 16:43:53                    Approve TAP-22   \n2   2023-03-24 19:33:00  Approve the changes as specified   \n3   2023-03-22 16:00:00          Approve Incentive Budget   \n4   2023-03-22 16:42:47                               For   \n..                  ...                               ...   \n195 2021-11-22 12:00:00                               Yes   \n196 2021-11-06 13:35:00                               For   \n197 2021-11-04 16:00:00                               Yes   \n198 2021-11-30 17:00:00                               Yes   \n199 2021-11-05 07:00:00                             Agree   \n\n                                    1     2     3     4     5     6  \n0        REJECT OIP-136 bonus project  None  None  None  None  None  \n1                       Reject TAP-22  None  None  None  None  None  \n2    Do not approve the changes as sp  None  None  None  None  None  \n3                              Reject  None  None  None  None  None  \n4                             Against  None  None  None  None  None  \n..                                ...   ...   ...   ...   ...   ...  \n195                                No  None  None  None  None  None  \n196                           Against  None  None  None  None  None  \n197                                No  None  None  None  None  None  \n198                                No  None  None  None  None  None  \n199                          Disagree  None  None  None  None  None  \n\n[200 rows x 16 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\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>proposals_title</th>\n      <th>proposals_created</th>\n      <th>proposals_id</th>\n      <th>proposals_start</th>\n      <th>proposals_end</th>\n      <th>proposals_votes</th>\n      <th>createdDate</th>\n      <th>startDate</th>\n      <th>endDate</th>\n      <th>0</th>\n      <th>1</th>\n      <th>2</th>\n      <th>3</th>\n      <th>4</th>\n      <th>5</th>\n      <th>6</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>OIP-136: Cross-chain native OHM as bonus proje...</td>\n      <td>1680108558</td>\n      <td>0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...</td>\n      <td>1680108526</td>\n      <td>1680367726</td>\n      <td>74</td>\n      <td>2023-03-29 16:49:18</td>\n      <td>2023-03-29 16:48:46</td>\n      <td>2023-04-01 16:48:46</td>\n      <td>APPROVE OIP-136 bonus project</td>\n      <td>REJECT OIP-136 bonus project</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>TAP-22 - Treasury Segmentation</td>\n      <td>1680108259</td>\n      <td>0xebd3cf4c019ddf8eb637c816379c8b464fc20ee78284...</td>\n      <td>1680108233</td>\n      <td>1680367433</td>\n      <td>63</td>\n      <td>2023-03-29 16:44:19</td>\n      <td>2023-03-29 16:43:53</td>\n      <td>2023-04-01 16:43:53</td>\n      <td>Approve TAP-22</td>\n      <td>Reject TAP-22</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>OIP-135: Olympus Grants Program 1-Year Review ...</td>\n      <td>1679402793</td>\n      <td>0x246ccd5ab718a160f03e3dbbd1280ebb5389d3637946...</td>\n      <td>1679402748</td>\n      <td>1679686380</td>\n      <td>67</td>\n      <td>2023-03-21 12:46:33</td>\n      <td>2023-03-21 12:45:48</td>\n      <td>2023-03-24 19:33:00</td>\n      <td>Approve the changes as specified</td>\n      <td>Do not approve the changes as sp</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>AP-23 - Liquidity Incentives for Aura / Balanc...</td>\n      <td>1679325165</td>\n      <td>0xde251686e7f312a5e524ba45f4115a887e31ab6a3cb5...</td>\n      <td>1679325106</td>\n      <td>1679500800</td>\n      <td>50</td>\n      <td>2023-03-20 15:12:45</td>\n      <td>2023-03-20 15:11:46</td>\n      <td>2023-03-22 16:00:00</td>\n      <td>Approve Incentive Budget</td>\n      <td>Reject</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>OIP 134: Hypernative as a security and risk de...</td>\n      <td>1679244244</td>\n      <td>0x58a7bc957b83e4a6424cb72d80bf3c3b0bd8025d0da1...</td>\n      <td>1679244167</td>\n      <td>1679503367</td>\n      <td>68</td>\n      <td>2023-03-19 16:44:04</td>\n      <td>2023-03-19 16:42:47</td>\n      <td>2023-03-22 16:42:47</td>\n      <td>For</td>\n      <td>Against</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>195</th>\n      <td>Add Solana to the treasury</td>\n      <td>1636135531</td>\n      <td>0x78d50cf71b8e89d105655fb5d688c95333c27a13c911...</td>\n      <td>1636135800</td>\n      <td>1637582400</td>\n      <td>276</td>\n      <td>2021-11-05 18:05:31</td>\n      <td>2021-11-05 18:10:00</td>\n      <td>2021-11-22 12:00:00</td>\n      <td>Yes</td>\n      <td>No</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>196</th>\n      <td>OIP-40: Increase ETH allocation target to 33% ...</td>\n      <td>1635946482</td>\n      <td>0x2422366345ed6a393f31a0ef53cf22834d2342349d32...</td>\n      <td>1635946500</td>\n      <td>1636205700</td>\n      <td>418</td>\n      <td>2021-11-03 13:34:42</td>\n      <td>2021-11-03 13:35:00</td>\n      <td>2021-11-06 13:35:00</td>\n      <td>For</td>\n      <td>Against</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>197</th>\n      <td>Should Olympus consider a borrowing function t...</td>\n      <td>1635807292</td>\n      <td>0x807f0e24c1d5f710ab3ac8aeb3397ca90abc30790f5a...</td>\n      <td>1635804000</td>\n      <td>1636041600</td>\n      <td>160</td>\n      <td>2021-11-01 22:54:52</td>\n      <td>2021-11-01 22:00:00</td>\n      <td>2021-11-04 16:00:00</td>\n      <td>Yes</td>\n      <td>No</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>198</th>\n      <td>Add Bitcoin to the treasury</td>\n      <td>1635795938</td>\n      <td>0x255a4e0b695ce686ab9bef5e5b7a33f2dc84b62a7d83...</td>\n      <td>1635739200</td>\n      <td>1638291600</td>\n      <td>339</td>\n      <td>2021-11-01 19:45:38</td>\n      <td>2021-11-01 04:00:00</td>\n      <td>2021-11-30 17:00:00</td>\n      <td>Yes</td>\n      <td>No</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>199</th>\n      <td>Replace 50% of SUSHI With UNI</td>\n      <td>1635688147</td>\n      <td>0xbf360d51c5b6bfa9efeb02ffff29c5ff66c3d5048472...</td>\n      <td>1635688800</td>\n      <td>1636095600</td>\n      <td>145</td>\n      <td>2021-10-31 13:49:07</td>\n      <td>2021-10-31 14:00:00</td>\n      <td>2021-11-05 07:00:00</td>\n      <td>Agree</td>\n      <td>Disagree</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>200 rows × 16 columns</p>\n</div>"
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#olympus_governance_view.rename(columns={\"createdDate\": \"voteDate\"}, inplace = True)\n",
    "olympus_governance_view.head(200)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:52.155615Z",
     "end_time": "2023-04-05T17:55:52.253617Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "outputs": [
    {
     "data": {
      "text/plain": "                                            votes_id  \\\n0  0x75e9a9a057531880e410cbf20a782e1e81dea9eea00e...   \n1  0x20bf5d2a46c01cd76503299a865b1365b61160243b7f...   \n2  0x806dfeffbec7a44484284a5aaa641580a4d80beebc56...   \n3  0x58485cd6024079d9973c8767ffd2f16ac3cefc869d49...   \n4  0xd8b0f20e080f760268b3d495158b4ad7dea745ca3a67...   \n5  0x3b4485b0eb9a32af1865aa32ccdcb6ad71f1a7ea8d89...   \n6  0xedd73b07c4e74900b7d6c190fb9b3494a3d9f75eb6f3...   \n7  0xf9455c984719790478e9dd5d2749b1ef8b15ee51960b...   \n8  0x277c38ae2739d5a4b3429cda0dd680eda466ff4a5e07...   \n9  0x0473c77df6d75fa8e1fa3ace5997cfece0c5058f9e4c...   \n\n                                  votes_voter  votes_created  votes_choice  \\\n0  0x24eE97586fE0B6374667ef16abF9030189568AfE     1673010290             1   \n1  0x9f7914f3Af230181ee5E907417a65a530dDfFACA     1673002025             1   \n2  0x0fADCD8D7862bB2B39d63d6a30C6b7c660c41D32     1672986902             1   \n3  0x4060914d070dD6d15bfACb136a46F24022338e40     1672973839             1   \n4  0x1200Eb4fA3dF9903fC6EfF1d7A4a5D17502329b2     1672966974             1   \n5  0xfdcF156137191e95566efedE78B804C587cAf650     1672966872             1   \n6  0x789840a82504679cCAD5c150cF138Af87a45bDec     1672953868             1   \n7  0xc58BA8f7D5F0d08b93Bfd66E59f87083Ee6fAe6B     1672949816             1   \n8  0x7672B17D5Eebb7194d57066f86FBcb4e85a7e10E     1672949537             1   \n9  0x2D681dA119C6ac6c870C05202174e98e66d1d686     1672932312             1   \n\n      votes_vp                                       proposals_id  \\\n0    16.508497  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n1   220.073781  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n2    35.423589  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n3    19.838213  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n4    19.645784  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n5    15.309798  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n6    51.842488  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n7   135.536229  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n8  2609.380233  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n9     1.000000  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n\n             voteDate                                    proposals_title  \\\n0 2023-01-06 13:04:50  [OIP-126] Self-Repaying OHM: Alchemix alOHM La...   \n1 2023-01-06 10:47:05  [OIP-126] Self-Repaying OHM: Alchemix alOHM La...   \n2 2023-01-06 06:35:02  [OIP-126] Self-Repaying OHM: Alchemix alOHM La...   \n3 2023-01-06 02:57:19  [OIP-126] Self-Repaying OHM: Alchemix alOHM La...   \n4 2023-01-06 01:02:54  [OIP-126] Self-Repaying OHM: Alchemix alOHM La...   \n5 2023-01-06 01:01:12  [OIP-126] Self-Repaying OHM: Alchemix alOHM La...   \n6 2023-01-05 21:24:28  [OIP-126] Self-Repaying OHM: Alchemix alOHM La...   \n7 2023-01-05 20:16:56  [OIP-126] Self-Repaying OHM: Alchemix alOHM La...   \n8 2023-01-05 20:12:17  [OIP-126] Self-Repaying OHM: Alchemix alOHM La...   \n9 2023-01-05 15:25:12  [OIP-126] Self-Repaying OHM: Alchemix alOHM La...   \n\n   proposals_created  proposals_start  ...         createdDate  \\\n0         1672776262       1672776242  ... 2023-01-03 20:04:22   \n1         1672776262       1672776242  ... 2023-01-03 20:04:22   \n2         1672776262       1672776242  ... 2023-01-03 20:04:22   \n3         1672776262       1672776242  ... 2023-01-03 20:04:22   \n4         1672776262       1672776242  ... 2023-01-03 20:04:22   \n5         1672776262       1672776242  ... 2023-01-03 20:04:22   \n6         1672776262       1672776242  ... 2023-01-03 20:04:22   \n7         1672776262       1672776242  ... 2023-01-03 20:04:22   \n8         1672776262       1672776242  ... 2023-01-03 20:04:22   \n9         1672776262       1672776242  ... 2023-01-03 20:04:22   \n\n            startDate             endDate                0               1  \\\n0 2023-01-03 20:04:02 2023-01-06 20:04:02  Approve OIP-126  Reject OIP-126   \n1 2023-01-03 20:04:02 2023-01-06 20:04:02  Approve OIP-126  Reject OIP-126   \n2 2023-01-03 20:04:02 2023-01-06 20:04:02  Approve OIP-126  Reject OIP-126   \n3 2023-01-03 20:04:02 2023-01-06 20:04:02  Approve OIP-126  Reject OIP-126   \n4 2023-01-03 20:04:02 2023-01-06 20:04:02  Approve OIP-126  Reject OIP-126   \n5 2023-01-03 20:04:02 2023-01-06 20:04:02  Approve OIP-126  Reject OIP-126   \n6 2023-01-03 20:04:02 2023-01-06 20:04:02  Approve OIP-126  Reject OIP-126   \n7 2023-01-03 20:04:02 2023-01-06 20:04:02  Approve OIP-126  Reject OIP-126   \n8 2023-01-03 20:04:02 2023-01-06 20:04:02  Approve OIP-126  Reject OIP-126   \n9 2023-01-03 20:04:02 2023-01-06 20:04:02  Approve OIP-126  Reject OIP-126   \n\n      2     3     4     5     6  \n0  None  None  None  None  None  \n1  None  None  None  None  None  \n2  None  None  None  None  None  \n3  None  None  None  None  None  \n4  None  None  None  None  None  \n5  None  None  None  None  None  \n6  None  None  None  None  None  \n7  None  None  None  None  None  \n8  None  None  None  None  None  \n9  None  None  None  None  None  \n\n[10 rows x 22 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\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>votes_id</th>\n      <th>votes_voter</th>\n      <th>votes_created</th>\n      <th>votes_choice</th>\n      <th>votes_vp</th>\n      <th>proposals_id</th>\n      <th>voteDate</th>\n      <th>proposals_title</th>\n      <th>proposals_created</th>\n      <th>proposals_start</th>\n      <th>...</th>\n      <th>createdDate</th>\n      <th>startDate</th>\n      <th>endDate</th>\n      <th>0</th>\n      <th>1</th>\n      <th>2</th>\n      <th>3</th>\n      <th>4</th>\n      <th>5</th>\n      <th>6</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0x75e9a9a057531880e410cbf20a782e1e81dea9eea00e...</td>\n      <td>0x24eE97586fE0B6374667ef16abF9030189568AfE</td>\n      <td>1673010290</td>\n      <td>1</td>\n      <td>16.508497</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-06 13:04:50</td>\n      <td>[OIP-126] Self-Repaying OHM: Alchemix alOHM La...</td>\n      <td>1672776262</td>\n      <td>1672776242</td>\n      <td>...</td>\n      <td>2023-01-03 20:04:22</td>\n      <td>2023-01-03 20:04:02</td>\n      <td>2023-01-06 20:04:02</td>\n      <td>Approve OIP-126</td>\n      <td>Reject OIP-126</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0x20bf5d2a46c01cd76503299a865b1365b61160243b7f...</td>\n      <td>0x9f7914f3Af230181ee5E907417a65a530dDfFACA</td>\n      <td>1673002025</td>\n      <td>1</td>\n      <td>220.073781</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-06 10:47:05</td>\n      <td>[OIP-126] Self-Repaying OHM: Alchemix alOHM La...</td>\n      <td>1672776262</td>\n      <td>1672776242</td>\n      <td>...</td>\n      <td>2023-01-03 20:04:22</td>\n      <td>2023-01-03 20:04:02</td>\n      <td>2023-01-06 20:04:02</td>\n      <td>Approve OIP-126</td>\n      <td>Reject OIP-126</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0x806dfeffbec7a44484284a5aaa641580a4d80beebc56...</td>\n      <td>0x0fADCD8D7862bB2B39d63d6a30C6b7c660c41D32</td>\n      <td>1672986902</td>\n      <td>1</td>\n      <td>35.423589</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-06 06:35:02</td>\n      <td>[OIP-126] Self-Repaying OHM: Alchemix alOHM La...</td>\n      <td>1672776262</td>\n      <td>1672776242</td>\n      <td>...</td>\n      <td>2023-01-03 20:04:22</td>\n      <td>2023-01-03 20:04:02</td>\n      <td>2023-01-06 20:04:02</td>\n      <td>Approve OIP-126</td>\n      <td>Reject OIP-126</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0x58485cd6024079d9973c8767ffd2f16ac3cefc869d49...</td>\n      <td>0x4060914d070dD6d15bfACb136a46F24022338e40</td>\n      <td>1672973839</td>\n      <td>1</td>\n      <td>19.838213</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-06 02:57:19</td>\n      <td>[OIP-126] Self-Repaying OHM: Alchemix alOHM La...</td>\n      <td>1672776262</td>\n      <td>1672776242</td>\n      <td>...</td>\n      <td>2023-01-03 20:04:22</td>\n      <td>2023-01-03 20:04:02</td>\n      <td>2023-01-06 20:04:02</td>\n      <td>Approve OIP-126</td>\n      <td>Reject OIP-126</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0xd8b0f20e080f760268b3d495158b4ad7dea745ca3a67...</td>\n      <td>0x1200Eb4fA3dF9903fC6EfF1d7A4a5D17502329b2</td>\n      <td>1672966974</td>\n      <td>1</td>\n      <td>19.645784</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-06 01:02:54</td>\n      <td>[OIP-126] Self-Repaying OHM: Alchemix alOHM La...</td>\n      <td>1672776262</td>\n      <td>1672776242</td>\n      <td>...</td>\n      <td>2023-01-03 20:04:22</td>\n      <td>2023-01-03 20:04:02</td>\n      <td>2023-01-06 20:04:02</td>\n      <td>Approve OIP-126</td>\n      <td>Reject OIP-126</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>0x3b4485b0eb9a32af1865aa32ccdcb6ad71f1a7ea8d89...</td>\n      <td>0xfdcF156137191e95566efedE78B804C587cAf650</td>\n      <td>1672966872</td>\n      <td>1</td>\n      <td>15.309798</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-06 01:01:12</td>\n      <td>[OIP-126] Self-Repaying OHM: Alchemix alOHM La...</td>\n      <td>1672776262</td>\n      <td>1672776242</td>\n      <td>...</td>\n      <td>2023-01-03 20:04:22</td>\n      <td>2023-01-03 20:04:02</td>\n      <td>2023-01-06 20:04:02</td>\n      <td>Approve OIP-126</td>\n      <td>Reject OIP-126</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>0xedd73b07c4e74900b7d6c190fb9b3494a3d9f75eb6f3...</td>\n      <td>0x789840a82504679cCAD5c150cF138Af87a45bDec</td>\n      <td>1672953868</td>\n      <td>1</td>\n      <td>51.842488</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-05 21:24:28</td>\n      <td>[OIP-126] Self-Repaying OHM: Alchemix alOHM La...</td>\n      <td>1672776262</td>\n      <td>1672776242</td>\n      <td>...</td>\n      <td>2023-01-03 20:04:22</td>\n      <td>2023-01-03 20:04:02</td>\n      <td>2023-01-06 20:04:02</td>\n      <td>Approve OIP-126</td>\n      <td>Reject OIP-126</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>0xf9455c984719790478e9dd5d2749b1ef8b15ee51960b...</td>\n      <td>0xc58BA8f7D5F0d08b93Bfd66E59f87083Ee6fAe6B</td>\n      <td>1672949816</td>\n      <td>1</td>\n      <td>135.536229</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-05 20:16:56</td>\n      <td>[OIP-126] Self-Repaying OHM: Alchemix alOHM La...</td>\n      <td>1672776262</td>\n      <td>1672776242</td>\n      <td>...</td>\n      <td>2023-01-03 20:04:22</td>\n      <td>2023-01-03 20:04:02</td>\n      <td>2023-01-06 20:04:02</td>\n      <td>Approve OIP-126</td>\n      <td>Reject OIP-126</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>0x277c38ae2739d5a4b3429cda0dd680eda466ff4a5e07...</td>\n      <td>0x7672B17D5Eebb7194d57066f86FBcb4e85a7e10E</td>\n      <td>1672949537</td>\n      <td>1</td>\n      <td>2609.380233</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-05 20:12:17</td>\n      <td>[OIP-126] Self-Repaying OHM: Alchemix alOHM La...</td>\n      <td>1672776262</td>\n      <td>1672776242</td>\n      <td>...</td>\n      <td>2023-01-03 20:04:22</td>\n      <td>2023-01-03 20:04:02</td>\n      <td>2023-01-06 20:04:02</td>\n      <td>Approve OIP-126</td>\n      <td>Reject OIP-126</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>0x0473c77df6d75fa8e1fa3ace5997cfece0c5058f9e4c...</td>\n      <td>0x2D681dA119C6ac6c870C05202174e98e66d1d686</td>\n      <td>1672932312</td>\n      <td>1</td>\n      <td>1.000000</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-05 15:25:12</td>\n      <td>[OIP-126] Self-Repaying OHM: Alchemix alOHM La...</td>\n      <td>1672776262</td>\n      <td>1672776242</td>\n      <td>...</td>\n      <td>2023-01-03 20:04:22</td>\n      <td>2023-01-03 20:04:02</td>\n      <td>2023-01-06 20:04:02</td>\n      <td>Approve OIP-126</td>\n      <td>Reject OIP-126</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n    </tr>\n  </tbody>\n</table>\n<p>10 rows × 22 columns</p>\n</div>"
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "governance_data = pd.merge(votesDb, olympus_governance_view, how='inner', left_on='proposals_id', right_on='proposals_id')\n",
    "governance_data.head(10)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:52.170616Z",
     "end_time": "2023-04-05T17:55:52.465802Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "outputs": [
    {
     "data": {
      "text/plain": "               DAO                                       proposals_id  \\\n0   olympusdao.eth  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n1   olympusdao.eth  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n2   olympusdao.eth  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n3   olympusdao.eth  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n4   olympusdao.eth  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n..             ...                                                ...   \n95  olympusdao.eth  0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...   \n96  olympusdao.eth  0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...   \n97  olympusdao.eth  0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...   \n98  olympusdao.eth  0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...   \n99  olympusdao.eth  0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...   \n\n             startDate                                    proposals_title  \\\n0  2023-01-03 20:04:02  [OIP-126] Self-Repaying OHM: Alchemix alOHM La...   \n1  2023-01-03 20:04:02  [OIP-126] Self-Repaying OHM: Alchemix alOHM La...   \n2  2023-01-03 20:04:02  [OIP-126] Self-Repaying OHM: Alchemix alOHM La...   \n3  2023-01-03 20:04:02  [OIP-126] Self-Repaying OHM: Alchemix alOHM La...   \n4  2023-01-03 20:04:02  [OIP-126] Self-Repaying OHM: Alchemix alOHM La...   \n..                 ...                                                ...   \n95 2023-01-10 17:51:20                            TAP-17 Aura Acquisition   \n96 2023-01-10 17:51:20                            TAP-17 Aura Acquisition   \n97 2023-01-10 17:51:20                            TAP-17 Aura Acquisition   \n98 2023-01-10 17:51:20                            TAP-17 Aura Acquisition   \n99 2023-01-10 17:51:20                            TAP-17 Aura Acquisition   \n\n                                   votes_voter      votes_vp  \\\n0   0xfFe8194426050cCA662BCb67213C813148327b32  34643.923866   \n1   0xD3474BD2f558B12e83810EC7d8aF14f2d1D08137   8876.151824   \n2   0x721Ca5428eC12b148b34458E0f8557F4C9624630   5562.603881   \n3   0x3213977900A71e183818472e795c76aF8cbC3a3E   2903.004210   \n4   0x7672B17D5Eebb7194d57066f86FBcb4e85a7e10E   2609.380233   \n..                                         ...           ...   \n95  0x818ff5c4f15855ee497B8a0C8ffcCb066306A84d   2594.236032   \n96  0x16ff8Ad104Fa6195260A6d4A3F311c5f120dF77d   2482.318396   \n97  0x830f21710EAf94a1c14484E48d9B34206C263dd7   2351.195826   \n98  0x1C0E7f67CE7a4F33F9D7f1a657a9c0e8D5b02aeb   2264.436847   \n99  0xaFa5DFeB5b3b16840a92D5FEc1f5ece29128696f   2104.142805   \n\n              voteDate  cumulative_vp      total_vp  percentage_of_total_vp  \\\n0  2023-01-05 14:07:45   34643.923866  82122.502623                0.421857   \n1  2023-01-04 03:15:22   43520.075691  82122.502623                0.108084   \n2  2023-01-03 20:15:32   49082.679572  82122.502623                0.067735   \n3  2023-01-04 09:09:11   51985.683782  82122.502623                0.035350   \n4  2023-01-05 20:12:17   54595.064015  82122.502623                0.031774   \n..                 ...            ...           ...                     ...   \n95 2023-01-12 16:44:04   37935.040374  59967.658079                0.043261   \n96 2023-01-11 17:52:53   40417.358770  59967.658079                0.041394   \n97 2023-01-12 21:05:11   42768.554596  59967.658079                0.039208   \n98 2023-01-13 02:49:28   45032.991443  59967.658079                0.037761   \n99 2023-01-12 06:49:22   47137.134247  59967.658079                0.035088   \n\n    cum_percentage_of_total_vp  cum_percentage_of_total_vp_stepped  \\\n0                     0.421857                                 0.0   \n1                     0.529941                                 1.0   \n2                     0.597676                                 1.0   \n3                     0.633026                                 1.0   \n4                     0.664800                                 1.0   \n..                         ...                                 ...   \n95                    0.632592                                 1.0   \n96                    0.673986                                 1.0   \n97                    0.713194                                 1.0   \n98                    0.750955                                 1.0   \n99                    0.786043                                 1.0   \n\n    proposal_voter_rank  total_voters  percentage_voters_counted  \\\n0                     1          90.0                   0.011111   \n1                     2          90.0                   0.022222   \n2                     3          90.0                   0.033333   \n3                     4          90.0                   0.044444   \n4                     5          90.0                   0.055556   \n..                  ...           ...                        ...   \n95                    6          93.0                   0.064516   \n96                    7          93.0                   0.075269   \n97                    8          93.0                   0.086022   \n98                    9          93.0                   0.096774   \n99                   10          93.0                   0.107527   \n\n    percentage_voters_counted_stepped  \n0                                 1.0  \n1                                 2.0  \n2                                 3.0  \n3                                 4.0  \n4                                 6.0  \n..                                ...  \n95                                6.0  \n96                                8.0  \n97                                9.0  \n98                               10.0  \n99                               11.0  \n\n[100 rows x 16 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\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>DAO</th>\n      <th>proposals_id</th>\n      <th>startDate</th>\n      <th>proposals_title</th>\n      <th>votes_voter</th>\n      <th>votes_vp</th>\n      <th>voteDate</th>\n      <th>cumulative_vp</th>\n      <th>total_vp</th>\n      <th>percentage_of_total_vp</th>\n      <th>cum_percentage_of_total_vp</th>\n      <th>cum_percentage_of_total_vp_stepped</th>\n      <th>proposal_voter_rank</th>\n      <th>total_voters</th>\n      <th>percentage_voters_counted</th>\n      <th>percentage_voters_counted_stepped</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>olympusdao.eth</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-03 20:04:02</td>\n      <td>[OIP-126] Self-Repaying OHM: Alchemix alOHM La...</td>\n      <td>0xfFe8194426050cCA662BCb67213C813148327b32</td>\n      <td>34643.923866</td>\n      <td>2023-01-05 14:07:45</td>\n      <td>34643.923866</td>\n      <td>82122.502623</td>\n      <td>0.421857</td>\n      <td>0.421857</td>\n      <td>0.0</td>\n      <td>1</td>\n      <td>90.0</td>\n      <td>0.011111</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>olympusdao.eth</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-03 20:04:02</td>\n      <td>[OIP-126] Self-Repaying OHM: Alchemix alOHM La...</td>\n      <td>0xD3474BD2f558B12e83810EC7d8aF14f2d1D08137</td>\n      <td>8876.151824</td>\n      <td>2023-01-04 03:15:22</td>\n      <td>43520.075691</td>\n      <td>82122.502623</td>\n      <td>0.108084</td>\n      <td>0.529941</td>\n      <td>1.0</td>\n      <td>2</td>\n      <td>90.0</td>\n      <td>0.022222</td>\n      <td>2.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>olympusdao.eth</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-03 20:04:02</td>\n      <td>[OIP-126] Self-Repaying OHM: Alchemix alOHM La...</td>\n      <td>0x721Ca5428eC12b148b34458E0f8557F4C9624630</td>\n      <td>5562.603881</td>\n      <td>2023-01-03 20:15:32</td>\n      <td>49082.679572</td>\n      <td>82122.502623</td>\n      <td>0.067735</td>\n      <td>0.597676</td>\n      <td>1.0</td>\n      <td>3</td>\n      <td>90.0</td>\n      <td>0.033333</td>\n      <td>3.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>olympusdao.eth</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-03 20:04:02</td>\n      <td>[OIP-126] Self-Repaying OHM: Alchemix alOHM La...</td>\n      <td>0x3213977900A71e183818472e795c76aF8cbC3a3E</td>\n      <td>2903.004210</td>\n      <td>2023-01-04 09:09:11</td>\n      <td>51985.683782</td>\n      <td>82122.502623</td>\n      <td>0.035350</td>\n      <td>0.633026</td>\n      <td>1.0</td>\n      <td>4</td>\n      <td>90.0</td>\n      <td>0.044444</td>\n      <td>4.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>olympusdao.eth</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-03 20:04:02</td>\n      <td>[OIP-126] Self-Repaying OHM: Alchemix alOHM La...</td>\n      <td>0x7672B17D5Eebb7194d57066f86FBcb4e85a7e10E</td>\n      <td>2609.380233</td>\n      <td>2023-01-05 20:12:17</td>\n      <td>54595.064015</td>\n      <td>82122.502623</td>\n      <td>0.031774</td>\n      <td>0.664800</td>\n      <td>1.0</td>\n      <td>5</td>\n      <td>90.0</td>\n      <td>0.055556</td>\n      <td>6.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>95</th>\n      <td>olympusdao.eth</td>\n      <td>0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...</td>\n      <td>2023-01-10 17:51:20</td>\n      <td>TAP-17 Aura Acquisition</td>\n      <td>0x818ff5c4f15855ee497B8a0C8ffcCb066306A84d</td>\n      <td>2594.236032</td>\n      <td>2023-01-12 16:44:04</td>\n      <td>37935.040374</td>\n      <td>59967.658079</td>\n      <td>0.043261</td>\n      <td>0.632592</td>\n      <td>1.0</td>\n      <td>6</td>\n      <td>93.0</td>\n      <td>0.064516</td>\n      <td>6.0</td>\n    </tr>\n    <tr>\n      <th>96</th>\n      <td>olympusdao.eth</td>\n      <td>0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...</td>\n      <td>2023-01-10 17:51:20</td>\n      <td>TAP-17 Aura Acquisition</td>\n      <td>0x16ff8Ad104Fa6195260A6d4A3F311c5f120dF77d</td>\n      <td>2482.318396</td>\n      <td>2023-01-11 17:52:53</td>\n      <td>40417.358770</td>\n      <td>59967.658079</td>\n      <td>0.041394</td>\n      <td>0.673986</td>\n      <td>1.0</td>\n      <td>7</td>\n      <td>93.0</td>\n      <td>0.075269</td>\n      <td>8.0</td>\n    </tr>\n    <tr>\n      <th>97</th>\n      <td>olympusdao.eth</td>\n      <td>0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...</td>\n      <td>2023-01-10 17:51:20</td>\n      <td>TAP-17 Aura Acquisition</td>\n      <td>0x830f21710EAf94a1c14484E48d9B34206C263dd7</td>\n      <td>2351.195826</td>\n      <td>2023-01-12 21:05:11</td>\n      <td>42768.554596</td>\n      <td>59967.658079</td>\n      <td>0.039208</td>\n      <td>0.713194</td>\n      <td>1.0</td>\n      <td>8</td>\n      <td>93.0</td>\n      <td>0.086022</td>\n      <td>9.0</td>\n    </tr>\n    <tr>\n      <th>98</th>\n      <td>olympusdao.eth</td>\n      <td>0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...</td>\n      <td>2023-01-10 17:51:20</td>\n      <td>TAP-17 Aura Acquisition</td>\n      <td>0x1C0E7f67CE7a4F33F9D7f1a657a9c0e8D5b02aeb</td>\n      <td>2264.436847</td>\n      <td>2023-01-13 02:49:28</td>\n      <td>45032.991443</td>\n      <td>59967.658079</td>\n      <td>0.037761</td>\n      <td>0.750955</td>\n      <td>1.0</td>\n      <td>9</td>\n      <td>93.0</td>\n      <td>0.096774</td>\n      <td>10.0</td>\n    </tr>\n    <tr>\n      <th>99</th>\n      <td>olympusdao.eth</td>\n      <td>0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...</td>\n      <td>2023-01-10 17:51:20</td>\n      <td>TAP-17 Aura Acquisition</td>\n      <td>0xaFa5DFeB5b3b16840a92D5FEc1f5ece29128696f</td>\n      <td>2104.142805</td>\n      <td>2023-01-12 06:49:22</td>\n      <td>47137.134247</td>\n      <td>59967.658079</td>\n      <td>0.035088</td>\n      <td>0.786043</td>\n      <td>1.0</td>\n      <td>10</td>\n      <td>93.0</td>\n      <td>0.107527</td>\n      <td>11.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>100 rows × 16 columns</p>\n</div>"
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crunch_data = db.query(\"select \"\n",
    "                           \"A.proposals_id\"\n",
    "                       \"    ,A.startDate \"\n",
    "                       \"    ,A.proposals_title \"\n",
    "                       \"    ,A.votes_voter \"\n",
    "                       \"    ,A.votes_vp \"\n",
    "                       \"    ,A.voteDate \"\n",
    "                           \",sum(A.votes_vp) over (Partition by proposals_id  order by votes_vp desc, voteDate asc) as cumulative_vp \"\n",
    "                           \",sum(A.votes_vp) over (Partition by proposals_id) as total_vp \"\n",
    "                           \",(votes_vp::decimal/sum(votes_vp::decimal) over (Partition by proposals_id)) as percentage_of_total_vp \"\n",
    "                           \",((sum(A.votes_vp) over (Partition by proposals_id  order by votes_vp desc, voteDate asc))::decimal/sum(votes_vp::decimal) over (Partition by proposals_id)) as cum_percentage_of_total_vp \"\n",
    "                       \",round((sum(A.votes_vp) over (Partition by proposals_id  order by votes_vp desc, voteDate asc))::decimal/sum(votes_vp::decimal) over (Partition by proposals_id)) as cum_percentage_of_total_vp_stepped \"\n",
    "                           \",row_number() over (Partition by proposals_id order by votes_vp desc, voteDate asc) as proposal_voter_rank \"\n",
    "\n",
    "                           \",(count(*) over (Partition by proposals_id))::decimal total_voters \"\n",
    "\n",
    "                           \",(count(*) over (Partition by proposals_id  order by votes_vp desc, voteDate asc))::decimal/(count(*) over (Partition by proposals_id))::decimal percentage_voters_counted \"\n",
    "\n",
    "                           \",round(100*(count(*) over (Partition by proposals_id  order by votes_vp desc, voteDate asc))::decimal/(count(*) over (Partition by proposals_id)))::decimal percentage_voters_counted_stepped \"\n",
    "                       \"from \"\n",
    "                       \"    governance_data  A \"\n",
    "                       #\"where   to_timestamp((votes_Created::bigint))<'2023-01-01' \"\n",
    "                       \"\"\n",
    "                       \"Group by \"\n",
    "                           \"A.proposals_id\"\n",
    "                       \"    ,A.startDate \"\n",
    "                       \"    ,A.proposals_title \"\n",
    "                       \"    ,A.votes_voter \"\n",
    "                       \"    ,A.votes_vp \"\n",
    "                       \"    ,A.voteDate \"\n",
    "                       \"\"\n",
    "                       \"Order by \"\n",
    "                       \"    A.startDate  asc \"\n",
    "                       \"    , votes_vp desc \"\n",
    "                       \"    , voteDate asc\"\n",
    "                       \"\").df()\n",
    "\n",
    "\n",
    "crunch_data.insert(0, 'DAO', spacename)\n",
    "crunch_data.drop_duplicates\n",
    "crunch_data.head(100)\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:52.200614Z",
     "end_time": "2023-04-05T17:55:52.465802Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "outputs": [
    {
     "data": {
      "text/plain": "               DAO                                       proposals_id  \\\n0   olympusdao.eth  0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...   \n1   olympusdao.eth  0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...   \n2   olympusdao.eth  0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...   \n3   olympusdao.eth  0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...   \n4   olympusdao.eth  0xda3c3616164ae0674c1df2f54cc5734e8af86b99fe0c...   \n5   olympusdao.eth  0xda3c3616164ae0674c1df2f54cc5734e8af86b99fe0c...   \n6   olympusdao.eth  0x0aa9d7913eeaa0bde3b502b02aec8e407fd0898a773d...   \n7   olympusdao.eth  0x5c3b454300357b90e4dbe1866a20b02010dcaa7a7407...   \n8   olympusdao.eth  0x5c3b454300357b90e4dbe1866a20b02010dcaa7a7407...   \n9   olympusdao.eth  0x5a8c1550f2781d7c1587bf74a793a87f149774c6b5c3...   \n10  olympusdao.eth  0x5a8c1550f2781d7c1587bf74a793a87f149774c6b5c3...   \n11  olympusdao.eth  0x58f5e9709fd2a69c7695ab69d9aa3d6f29b354c0abd3...   \n12  olympusdao.eth  0x58f5e9709fd2a69c7695ab69d9aa3d6f29b354c0abd3...   \n13  olympusdao.eth  0xe1f1a1eea2da4d8c74a5b2f840eb7dce8c8143926b35...   \n14  olympusdao.eth  0x7065c53c88cff153efefc4dc042f81d795011cfdfa29...   \n15  olympusdao.eth  0x7065c53c88cff153efefc4dc042f81d795011cfdfa29...   \n16  olympusdao.eth  0xadd0850bb53fc31df236d61e2b53326748c80ef72f54...   \n17  olympusdao.eth  0x0e1173ac9585c4e46723d69ef1a4ef1995390d9d3f90...   \n18  olympusdao.eth  0xe02d0e0d6cb2ad8e6a6512ab1d138d9ec6b64919715a...   \n19  olympusdao.eth  0xe02d0e0d6cb2ad8e6a6512ab1d138d9ec6b64919715a...   \n20  olympusdao.eth  0x991058cca07d1e6f361217927a99951d200826e2ee57...   \n21  olympusdao.eth  0x991058cca07d1e6f361217927a99951d200826e2ee57...   \n22  olympusdao.eth  0x0fbdc3e8adbda28970646743492623e92e3a7c2336d4...   \n23  olympusdao.eth  0x246ccd5ab718a160f03e3dbbd1280ebb5389d3637946...   \n24  olympusdao.eth  0xebd3cf4c019ddf8eb637c816379c8b464fc20ee78284...   \n25  olympusdao.eth  0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...   \n26  olympusdao.eth  0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...   \n\n             startDate                                    proposals_title  \\\n0  2023-01-03 20:04:02  [OIP-126] Self-Repaying OHM: Alchemix alOHM La...   \n1  2023-01-10 17:51:20                            TAP-17 Aura Acquisition   \n2  2023-01-10 17:51:20                            TAP-17 Aura Acquisition   \n3  2023-01-10 17:51:20                            TAP-17 Aura Acquisition   \n4  2023-01-12 13:33:03        OIP-127 OHM Lending Markets Pilot Programme   \n5  2023-01-12 13:33:03        OIP-127 OHM Lending Markets Pilot Programme   \n6  2023-01-16 16:24:25              TAP-16 Pilot Opyn Strategies Deposits   \n7  2023-01-18 19:31:01                  TAP-18: DAI Savings Rate Deposit    \n8  2023-01-18 19:31:01                  TAP-18: DAI Savings Rate Deposit    \n9  2023-01-30 19:46:06  TAP-19 Deposit OHM-ETH & OHM-DAI POL into Aura...   \n10 2023-01-30 19:46:06  TAP-19 Deposit OHM-ETH & OHM-DAI POL into Aura...   \n11 2023-01-31 15:28:28              TAP 20: Deposit Idle Frax into FraxBP   \n12 2023-01-31 15:28:28              TAP 20: Deposit Idle Frax into FraxBP   \n13 2023-02-06 13:00:48                        OIP 129 - Council Framework   \n14 2023-02-10 15:57:25               TAP-21 Pilot Clearing House Deposits   \n15 2023-02-10 15:57:25               TAP-21 Pilot Clearing House Deposits   \n16 2023-02-26 23:25:00   OOP-1 Funding request for 2023 Q1 and Q2 budget.   \n17 2023-03-01 17:29:09  OIP-130: Lending AMO as a key DAO project for ...   \n18 2023-03-06 18:05:46  OIP 131: Boosted Liquidity Engine as a Key Pro...   \n19 2023-03-06 18:05:46  OIP 131: Boosted Liquidity Engine as a Key Pro...   \n20 2023-03-10 05:56:07       OIP-132: wstETH/OHM Boosted Liquidity Engine   \n21 2023-03-10 05:56:07       OIP-132: wstETH/OHM Boosted Liquidity Engine   \n22 2023-03-10 06:06:04                     OIP-133: Staking Rate Strategy   \n23 2023-03-21 12:45:48  OIP-135: Olympus Grants Program 1-Year Review ...   \n24 2023-03-29 16:43:53                     TAP-22 - Treasury Segmentation   \n25 2023-03-29 16:48:46  OIP-136: Cross-chain native OHM as bonus proje...   \n26 2023-03-29 16:48:46  OIP-136: Cross-chain native OHM as bonus proje...   \n\n                                   votes_voter      votes_vp  \\\n0   0xD3474BD2f558B12e83810EC7d8aF14f2d1D08137   8876.151824   \n1   0x721Ca5428eC12b148b34458E0f8557F4C9624630   8923.019580   \n2   0xD3474BD2f558B12e83810EC7d8aF14f2d1D08137   8887.661816   \n3   0x3213977900A71e183818472e795c76aF8cbC3a3E   2906.768629   \n4   0x721Ca5428eC12b148b34458E0f8557F4C9624630   8925.186451   \n5   0xC45d45b54045074Ed12d1Fe127f714f8aCE46f8c   8763.882870   \n6   0x922d012c7E8fCe3C46ac761179Bdb6d16246782D  17743.308903   \n7   0xca6aA0576c2ADc79d2c20e6D53c07f590f62932A  11520.911704   \n8   0x721Ca5428eC12b148b34458E0f8557F4C9624630   8931.688755   \n9   0x5E11A833d112e973661040E062F1aEdFB2BCEc1d  14491.344057   \n10  0xca6aA0576c2ADc79d2c20e6D53c07f590f62932A  12274.543240   \n11  0xED2A18a533c452293934F5c7A55EbAa5c2B6E6D8  28860.792358   \n12  0x5E11A833d112e973661040E062F1aEdFB2BCEc1d  14494.159990   \n13  0x489ce55616c1eBBe03c126742D0fb47032A1216b  35922.900766   \n14  0xca6aA0576c2ADc79d2c20e6D53c07f590f62932A  12412.901345   \n15  0x47af52916767f0550AEE8035b5b14A1ECe2B34f4  12312.131097   \n16  0xf10918Fc1725A65960db2b906b4868a0Fdbb6870  12548.221870   \n17  0x721Ca5428eC12b148b34458E0f8557F4C9624630   9319.250335   \n18  0x7DD19A3a93c7008BFBdD66375aAc8C115A886a28  13045.855173   \n19  0x721Ca5428eC12b148b34458E0f8557F4C9624630   9322.582409   \n20  0x20eBE30b746fc22803DC5A8516DEaae07dddBB76  11236.585973   \n21  0x537b118fF87116aa5f420dC65D390aFf9cDf7edb  10861.675409   \n22  0xD73A15568daAcA9809952537eFa8269C327FF288  26427.296810   \n23  0x721Ca5428eC12b148b34458E0f8557F4C9624630   5865.992421   \n24  0x8a7F162dAaC546997cc36B6B7C528A21800507B9   1958.628195   \n25  0xaFa5DFeB5b3b16840a92D5FEc1f5ece29128696f   2136.289563   \n26  0x8a7F162dAaC546997cc36B6B7C528A21800507B9   1958.628195   \n\n              voteDate  cumulative_vp       total_vp  percentage_of_total_vp  \\\n0  2023-01-04 03:15:22   43520.075691   82122.502623                0.108084   \n1  2023-01-10 22:02:52   20933.609998   59967.658079                0.148797   \n2  2023-01-12 11:27:28   29821.271814   59967.658079                0.148208   \n3  2023-01-12 08:18:24   32728.040442   59967.658079                0.048472   \n4  2023-01-12 19:16:46   26657.873669   57033.846504                0.156489   \n5  2023-01-12 21:02:50   35421.756538   57033.846504                0.153661   \n6  2023-01-17 04:51:02   50973.719132   96754.454398                0.183385   \n7  2023-01-18 19:49:21   24632.410316   51928.290886                0.221862   \n8  2023-01-18 19:57:31   33564.099071   51928.290886                0.172000   \n9  2023-02-02 19:19:28   47757.911673  117883.399033                0.122929   \n10 2023-01-30 20:00:32   60032.454913  117883.399033                0.104124   \n11 2023-02-02 12:11:53   62129.944862  129122.721233                0.223514   \n12 2023-02-02 19:18:19   76624.104851  129122.721233                0.112251   \n13 2023-02-08 00:06:54  219780.130110  396116.735660                0.090688   \n14 2023-02-10 21:44:02   26935.272543   71766.028631                0.172963   \n15 2023-02-10 20:09:02   39247.403639   71766.028631                0.171559   \n16 2023-02-27 16:11:17   37459.817672   63518.372116                0.197553   \n17 2023-03-01 23:35:59   21873.977521   41788.104725                0.223012   \n18 2023-03-07 01:30:51   46413.360327   93656.137540                0.139295   \n19 2023-03-06 19:45:33   55735.942736   93656.137540                0.099541   \n20 2023-03-10 22:57:47   37807.640037   77517.239246                0.144956   \n21 2023-03-10 14:34:42   48669.315446   77517.239246                0.140119   \n22 2023-03-12 06:17:23   52998.350873   96808.462708                0.272985   \n23 2023-03-21 20:57:28   25830.222282   40592.143118                0.144511   \n24 2023-03-31 20:43:25   11592.166260   20541.998518                0.095348   \n25 2023-03-31 00:03:02   11769.827628   25060.749115                0.085244   \n26 2023-03-31 20:44:55   13728.455823   25060.749115                0.078155   \n\n    ...  cum_percentage_of_total_vp_stepped  proposal_voter_rank  \\\n0   ...                                 1.0                    2   \n1   ...                                 0.0                    2   \n2   ...                                 0.0                    3   \n3   ...                                 1.0                    4   \n4   ...                                 0.0                    2   \n5   ...                                 1.0                    3   \n6   ...                                 1.0                    2   \n7   ...                                 0.0                    2   \n8   ...                                 1.0                    3   \n9   ...                                 0.0                    2   \n10  ...                                 1.0                    3   \n11  ...                                 0.0                    2   \n12  ...                                 1.0                    3   \n13  ...                                 1.0                    2   \n14  ...                                 0.0                    2   \n15  ...                                 1.0                    3   \n16  ...                                 1.0                    2   \n17  ...                                 1.0                    2   \n18  ...                                 0.0                    2   \n19  ...                                 1.0                    3   \n20  ...                                 0.0                    2   \n21  ...                                 1.0                    3   \n22  ...                                 1.0                    2   \n23  ...                                 1.0                    2   \n24  ...                                 1.0                    2   \n25  ...                                 0.0                    2   \n26  ...                                 1.0                    3   \n\n    total_voters  percentage_voters_counted  \\\n0           90.0                   0.022222   \n1           93.0                   0.021505   \n2           93.0                   0.032258   \n3           93.0                   0.043011   \n4           60.0                   0.033333   \n5           60.0                   0.050000   \n6           88.0                   0.022727   \n7           50.0                   0.040000   \n8           50.0                   0.060000   \n9           92.0                   0.021739   \n10          92.0                   0.032609   \n11          93.0                   0.021505   \n12          93.0                   0.032258   \n13          96.0                   0.020833   \n14         101.0                   0.019802   \n15         101.0                   0.029703   \n16          60.0                   0.033333   \n17          55.0                   0.036364   \n18          80.0                   0.025000   \n19          80.0                   0.037500   \n20          65.0                   0.030769   \n21          65.0                   0.046154   \n22          76.0                   0.026316   \n23          67.0                   0.029851   \n24          63.0                   0.031746   \n25          74.0                   0.027027   \n26          74.0                   0.040541   \n\n    percentage_voters_counted_stepped  \\\n0                                 2.0   \n1                                 2.0   \n2                                 3.0   \n3                                 4.0   \n4                                 3.0   \n5                                 5.0   \n6                                 2.0   \n7                                 4.0   \n8                                 6.0   \n9                                 2.0   \n10                                3.0   \n11                                2.0   \n12                                3.0   \n13                                2.0   \n14                                2.0   \n15                                3.0   \n16                                3.0   \n17                                4.0   \n18                                3.0   \n19                                4.0   \n20                                3.0   \n21                                5.0   \n22                                3.0   \n23                                3.0   \n24                                3.0   \n25                                3.0   \n26                                4.0   \n\n                                       proposals_id_2 proposal  \\\n0   0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...  OIP-126   \n1   0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...  AP-17 A   \n2   0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...  AP-17 A   \n3   0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...  AP-17 A   \n4   0xda3c3616164ae0674c1df2f54cc5734e8af86b99fe0c...  IP-127    \n5   0xda3c3616164ae0674c1df2f54cc5734e8af86b99fe0c...  IP-127    \n6   0x0aa9d7913eeaa0bde3b502b02aec8e407fd0898a773d...  AP-16 P   \n7   0x5c3b454300357b90e4dbe1866a20b02010dcaa7a7407...  AP-18:    \n8   0x5c3b454300357b90e4dbe1866a20b02010dcaa7a7407...  AP-18:    \n9   0x5a8c1550f2781d7c1587bf74a793a87f149774c6b5c3...  AP-19 D   \n10  0x5a8c1550f2781d7c1587bf74a793a87f149774c6b5c3...  AP-19 D   \n11  0x58f5e9709fd2a69c7695ab69d9aa3d6f29b354c0abd3...  AP 20:    \n12  0x58f5e9709fd2a69c7695ab69d9aa3d6f29b354c0abd3...  AP 20:    \n13  0xe1f1a1eea2da4d8c74a5b2f840eb7dce8c8143926b35...  IP 129    \n14  0x7065c53c88cff153efefc4dc042f81d795011cfdfa29...  AP-21 P   \n15  0x7065c53c88cff153efefc4dc042f81d795011cfdfa29...  AP-21 P   \n16  0xadd0850bb53fc31df236d61e2b53326748c80ef72f54...  OP-1 Fu   \n17  0x0e1173ac9585c4e46723d69ef1a4ef1995390d9d3f90...  IP-130:   \n18  0xe02d0e0d6cb2ad8e6a6512ab1d138d9ec6b64919715a...  IP 131:   \n19  0xe02d0e0d6cb2ad8e6a6512ab1d138d9ec6b64919715a...  IP 131:   \n20  0x991058cca07d1e6f361217927a99951d200826e2ee57...  IP-132:   \n21  0x991058cca07d1e6f361217927a99951d200826e2ee57...  IP-132:   \n22  0x0fbdc3e8adbda28970646743492623e92e3a7c2336d4...  IP-133:   \n23  0x246ccd5ab718a160f03e3dbbd1280ebb5389d3637946...  IP-135:   \n24  0xebd3cf4c019ddf8eb637c816379c8b464fc20ee78284...  AP-22 -   \n25  0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...  IP-136:   \n26  0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...  IP-136:   \n\n                                 votes_voter_2 proposal_voter_rank_2  \\\n0   0xfFe8194426050cCA662BCb67213C813148327b32                     1   \n1   0xca6aA0576c2ADc79d2c20e6D53c07f590f62932A                     1   \n2   0x721Ca5428eC12b148b34458E0f8557F4C9624630                     2   \n3   0xD3474BD2f558B12e83810EC7d8aF14f2d1D08137                     3   \n4   0x922d012c7E8fCe3C46ac761179Bdb6d16246782D                     1   \n5   0x721Ca5428eC12b148b34458E0f8557F4C9624630                     2   \n6   0x7E7afAAfd27F723E7178cB439982ad286508Febc                     1   \n7   0x7DD19A3a93c7008BFBdD66375aAc8C115A886a28                     1   \n8   0xca6aA0576c2ADc79d2c20e6D53c07f590f62932A                     2   \n9   0x7E7afAAfd27F723E7178cB439982ad286508Febc                     1   \n10  0x5E11A833d112e973661040E062F1aEdFB2BCEc1d                     2   \n11  0x7E7afAAfd27F723E7178cB439982ad286508Febc                     1   \n12  0xED2A18a533c452293934F5c7A55EbAa5c2B6E6D8                     2   \n13  0xca5dF910F3e2226324707EFE7fa6d03A0F821353                     1   \n14  0x5E11A833d112e973661040E062F1aEdFB2BCEc1d                     1   \n15  0xca6aA0576c2ADc79d2c20e6D53c07f590f62932A                     2   \n16  0x31D960182A8e52Dd53cf910A6725aa6d66CAc570                     1   \n17  0xf10918Fc1725A65960db2b906b4868a0Fdbb6870                     1   \n18  0x7E7afAAfd27F723E7178cB439982ad286508Febc                     1   \n19  0x7DD19A3a93c7008BFBdD66375aAc8C115A886a28                     2   \n20  0x7E7afAAfd27F723E7178cB439982ad286508Febc                     1   \n21  0x20eBE30b746fc22803DC5A8516DEaae07dddBB76                     2   \n22  0x7E7afAAfd27F723E7178cB439982ad286508Febc                     1   \n23  0x7E7afAAfd27F723E7178cB439982ad286508Febc                     1   \n24  0x721Ca5428eC12b148b34458E0f8557F4C9624630                     1   \n25  0x721Ca5428eC12b148b34458E0f8557F4C9624630                     1   \n26  0xaFa5DFeB5b3b16840a92D5FEc1f5ece29128696f                     2   \n\n    leader_rank  \n0             2  \n1             2  \n2             3  \n3             4  \n4             2  \n5             3  \n6             2  \n7             2  \n8             3  \n9             2  \n10            3  \n11            2  \n12            3  \n13            2  \n14            2  \n15            3  \n16            2  \n17            2  \n18            2  \n19            3  \n20            2  \n21            3  \n22            2  \n23            2  \n24            2  \n25            2  \n26            3  \n\n[27 rows x 21 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\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>DAO</th>\n      <th>proposals_id</th>\n      <th>startDate</th>\n      <th>proposals_title</th>\n      <th>votes_voter</th>\n      <th>votes_vp</th>\n      <th>voteDate</th>\n      <th>cumulative_vp</th>\n      <th>total_vp</th>\n      <th>percentage_of_total_vp</th>\n      <th>...</th>\n      <th>cum_percentage_of_total_vp_stepped</th>\n      <th>proposal_voter_rank</th>\n      <th>total_voters</th>\n      <th>percentage_voters_counted</th>\n      <th>percentage_voters_counted_stepped</th>\n      <th>proposals_id_2</th>\n      <th>proposal</th>\n      <th>votes_voter_2</th>\n      <th>proposal_voter_rank_2</th>\n      <th>leader_rank</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>olympusdao.eth</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>2023-01-03 20:04:02</td>\n      <td>[OIP-126] Self-Repaying OHM: Alchemix alOHM La...</td>\n      <td>0xD3474BD2f558B12e83810EC7d8aF14f2d1D08137</td>\n      <td>8876.151824</td>\n      <td>2023-01-04 03:15:22</td>\n      <td>43520.075691</td>\n      <td>82122.502623</td>\n      <td>0.108084</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>2</td>\n      <td>90.0</td>\n      <td>0.022222</td>\n      <td>2.0</td>\n      <td>0x058bda9a27ba8e0e154df38fdd6f41e59c640a44cd62...</td>\n      <td>OIP-126</td>\n      <td>0xfFe8194426050cCA662BCb67213C813148327b32</td>\n      <td>1</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>olympusdao.eth</td>\n      <td>0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...</td>\n      <td>2023-01-10 17:51:20</td>\n      <td>TAP-17 Aura Acquisition</td>\n      <td>0x721Ca5428eC12b148b34458E0f8557F4C9624630</td>\n      <td>8923.019580</td>\n      <td>2023-01-10 22:02:52</td>\n      <td>20933.609998</td>\n      <td>59967.658079</td>\n      <td>0.148797</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>2</td>\n      <td>93.0</td>\n      <td>0.021505</td>\n      <td>2.0</td>\n      <td>0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...</td>\n      <td>AP-17 A</td>\n      <td>0xca6aA0576c2ADc79d2c20e6D53c07f590f62932A</td>\n      <td>1</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>olympusdao.eth</td>\n      <td>0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...</td>\n      <td>2023-01-10 17:51:20</td>\n      <td>TAP-17 Aura Acquisition</td>\n      <td>0xD3474BD2f558B12e83810EC7d8aF14f2d1D08137</td>\n      <td>8887.661816</td>\n      <td>2023-01-12 11:27:28</td>\n      <td>29821.271814</td>\n      <td>59967.658079</td>\n      <td>0.148208</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>3</td>\n      <td>93.0</td>\n      <td>0.032258</td>\n      <td>3.0</td>\n      <td>0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...</td>\n      <td>AP-17 A</td>\n      <td>0x721Ca5428eC12b148b34458E0f8557F4C9624630</td>\n      <td>2</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>olympusdao.eth</td>\n      <td>0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...</td>\n      <td>2023-01-10 17:51:20</td>\n      <td>TAP-17 Aura Acquisition</td>\n      <td>0x3213977900A71e183818472e795c76aF8cbC3a3E</td>\n      <td>2906.768629</td>\n      <td>2023-01-12 08:18:24</td>\n      <td>32728.040442</td>\n      <td>59967.658079</td>\n      <td>0.048472</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>4</td>\n      <td>93.0</td>\n      <td>0.043011</td>\n      <td>4.0</td>\n      <td>0x5b06e73b9744a5f224d5ec0ac0e4b3411fdcb5eaa190...</td>\n      <td>AP-17 A</td>\n      <td>0xD3474BD2f558B12e83810EC7d8aF14f2d1D08137</td>\n      <td>3</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>olympusdao.eth</td>\n      <td>0xda3c3616164ae0674c1df2f54cc5734e8af86b99fe0c...</td>\n      <td>2023-01-12 13:33:03</td>\n      <td>OIP-127 OHM Lending Markets Pilot Programme</td>\n      <td>0x721Ca5428eC12b148b34458E0f8557F4C9624630</td>\n      <td>8925.186451</td>\n      <td>2023-01-12 19:16:46</td>\n      <td>26657.873669</td>\n      <td>57033.846504</td>\n      <td>0.156489</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>2</td>\n      <td>60.0</td>\n      <td>0.033333</td>\n      <td>3.0</td>\n      <td>0xda3c3616164ae0674c1df2f54cc5734e8af86b99fe0c...</td>\n      <td>IP-127</td>\n      <td>0x922d012c7E8fCe3C46ac761179Bdb6d16246782D</td>\n      <td>1</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>olympusdao.eth</td>\n      <td>0xda3c3616164ae0674c1df2f54cc5734e8af86b99fe0c...</td>\n      <td>2023-01-12 13:33:03</td>\n      <td>OIP-127 OHM Lending Markets Pilot Programme</td>\n      <td>0xC45d45b54045074Ed12d1Fe127f714f8aCE46f8c</td>\n      <td>8763.882870</td>\n      <td>2023-01-12 21:02:50</td>\n      <td>35421.756538</td>\n      <td>57033.846504</td>\n      <td>0.153661</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>3</td>\n      <td>60.0</td>\n      <td>0.050000</td>\n      <td>5.0</td>\n      <td>0xda3c3616164ae0674c1df2f54cc5734e8af86b99fe0c...</td>\n      <td>IP-127</td>\n      <td>0x721Ca5428eC12b148b34458E0f8557F4C9624630</td>\n      <td>2</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>olympusdao.eth</td>\n      <td>0x0aa9d7913eeaa0bde3b502b02aec8e407fd0898a773d...</td>\n      <td>2023-01-16 16:24:25</td>\n      <td>TAP-16 Pilot Opyn Strategies Deposits</td>\n      <td>0x922d012c7E8fCe3C46ac761179Bdb6d16246782D</td>\n      <td>17743.308903</td>\n      <td>2023-01-17 04:51:02</td>\n      <td>50973.719132</td>\n      <td>96754.454398</td>\n      <td>0.183385</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>2</td>\n      <td>88.0</td>\n      <td>0.022727</td>\n      <td>2.0</td>\n      <td>0x0aa9d7913eeaa0bde3b502b02aec8e407fd0898a773d...</td>\n      <td>AP-16 P</td>\n      <td>0x7E7afAAfd27F723E7178cB439982ad286508Febc</td>\n      <td>1</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>olympusdao.eth</td>\n      <td>0x5c3b454300357b90e4dbe1866a20b02010dcaa7a7407...</td>\n      <td>2023-01-18 19:31:01</td>\n      <td>TAP-18: DAI Savings Rate Deposit</td>\n      <td>0xca6aA0576c2ADc79d2c20e6D53c07f590f62932A</td>\n      <td>11520.911704</td>\n      <td>2023-01-18 19:49:21</td>\n      <td>24632.410316</td>\n      <td>51928.290886</td>\n      <td>0.221862</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>2</td>\n      <td>50.0</td>\n      <td>0.040000</td>\n      <td>4.0</td>\n      <td>0x5c3b454300357b90e4dbe1866a20b02010dcaa7a7407...</td>\n      <td>AP-18:</td>\n      <td>0x7DD19A3a93c7008BFBdD66375aAc8C115A886a28</td>\n      <td>1</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>olympusdao.eth</td>\n      <td>0x5c3b454300357b90e4dbe1866a20b02010dcaa7a7407...</td>\n      <td>2023-01-18 19:31:01</td>\n      <td>TAP-18: DAI Savings Rate Deposit</td>\n      <td>0x721Ca5428eC12b148b34458E0f8557F4C9624630</td>\n      <td>8931.688755</td>\n      <td>2023-01-18 19:57:31</td>\n      <td>33564.099071</td>\n      <td>51928.290886</td>\n      <td>0.172000</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>3</td>\n      <td>50.0</td>\n      <td>0.060000</td>\n      <td>6.0</td>\n      <td>0x5c3b454300357b90e4dbe1866a20b02010dcaa7a7407...</td>\n      <td>AP-18:</td>\n      <td>0xca6aA0576c2ADc79d2c20e6D53c07f590f62932A</td>\n      <td>2</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>olympusdao.eth</td>\n      <td>0x5a8c1550f2781d7c1587bf74a793a87f149774c6b5c3...</td>\n      <td>2023-01-30 19:46:06</td>\n      <td>TAP-19 Deposit OHM-ETH &amp; OHM-DAI POL into Aura...</td>\n      <td>0x5E11A833d112e973661040E062F1aEdFB2BCEc1d</td>\n      <td>14491.344057</td>\n      <td>2023-02-02 19:19:28</td>\n      <td>47757.911673</td>\n      <td>117883.399033</td>\n      <td>0.122929</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>2</td>\n      <td>92.0</td>\n      <td>0.021739</td>\n      <td>2.0</td>\n      <td>0x5a8c1550f2781d7c1587bf74a793a87f149774c6b5c3...</td>\n      <td>AP-19 D</td>\n      <td>0x7E7afAAfd27F723E7178cB439982ad286508Febc</td>\n      <td>1</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>olympusdao.eth</td>\n      <td>0x5a8c1550f2781d7c1587bf74a793a87f149774c6b5c3...</td>\n      <td>2023-01-30 19:46:06</td>\n      <td>TAP-19 Deposit OHM-ETH &amp; OHM-DAI POL into Aura...</td>\n      <td>0xca6aA0576c2ADc79d2c20e6D53c07f590f62932A</td>\n      <td>12274.543240</td>\n      <td>2023-01-30 20:00:32</td>\n      <td>60032.454913</td>\n      <td>117883.399033</td>\n      <td>0.104124</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>3</td>\n      <td>92.0</td>\n      <td>0.032609</td>\n      <td>3.0</td>\n      <td>0x5a8c1550f2781d7c1587bf74a793a87f149774c6b5c3...</td>\n      <td>AP-19 D</td>\n      <td>0x5E11A833d112e973661040E062F1aEdFB2BCEc1d</td>\n      <td>2</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>olympusdao.eth</td>\n      <td>0x58f5e9709fd2a69c7695ab69d9aa3d6f29b354c0abd3...</td>\n      <td>2023-01-31 15:28:28</td>\n      <td>TAP 20: Deposit Idle Frax into FraxBP</td>\n      <td>0xED2A18a533c452293934F5c7A55EbAa5c2B6E6D8</td>\n      <td>28860.792358</td>\n      <td>2023-02-02 12:11:53</td>\n      <td>62129.944862</td>\n      <td>129122.721233</td>\n      <td>0.223514</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>2</td>\n      <td>93.0</td>\n      <td>0.021505</td>\n      <td>2.0</td>\n      <td>0x58f5e9709fd2a69c7695ab69d9aa3d6f29b354c0abd3...</td>\n      <td>AP 20:</td>\n      <td>0x7E7afAAfd27F723E7178cB439982ad286508Febc</td>\n      <td>1</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>olympusdao.eth</td>\n      <td>0x58f5e9709fd2a69c7695ab69d9aa3d6f29b354c0abd3...</td>\n      <td>2023-01-31 15:28:28</td>\n      <td>TAP 20: Deposit Idle Frax into FraxBP</td>\n      <td>0x5E11A833d112e973661040E062F1aEdFB2BCEc1d</td>\n      <td>14494.159990</td>\n      <td>2023-02-02 19:18:19</td>\n      <td>76624.104851</td>\n      <td>129122.721233</td>\n      <td>0.112251</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>3</td>\n      <td>93.0</td>\n      <td>0.032258</td>\n      <td>3.0</td>\n      <td>0x58f5e9709fd2a69c7695ab69d9aa3d6f29b354c0abd3...</td>\n      <td>AP 20:</td>\n      <td>0xED2A18a533c452293934F5c7A55EbAa5c2B6E6D8</td>\n      <td>2</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>olympusdao.eth</td>\n      <td>0xe1f1a1eea2da4d8c74a5b2f840eb7dce8c8143926b35...</td>\n      <td>2023-02-06 13:00:48</td>\n      <td>OIP 129 - Council Framework</td>\n      <td>0x489ce55616c1eBBe03c126742D0fb47032A1216b</td>\n      <td>35922.900766</td>\n      <td>2023-02-08 00:06:54</td>\n      <td>219780.130110</td>\n      <td>396116.735660</td>\n      <td>0.090688</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>2</td>\n      <td>96.0</td>\n      <td>0.020833</td>\n      <td>2.0</td>\n      <td>0xe1f1a1eea2da4d8c74a5b2f840eb7dce8c8143926b35...</td>\n      <td>IP 129</td>\n      <td>0xca5dF910F3e2226324707EFE7fa6d03A0F821353</td>\n      <td>1</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>olympusdao.eth</td>\n      <td>0x7065c53c88cff153efefc4dc042f81d795011cfdfa29...</td>\n      <td>2023-02-10 15:57:25</td>\n      <td>TAP-21 Pilot Clearing House Deposits</td>\n      <td>0xca6aA0576c2ADc79d2c20e6D53c07f590f62932A</td>\n      <td>12412.901345</td>\n      <td>2023-02-10 21:44:02</td>\n      <td>26935.272543</td>\n      <td>71766.028631</td>\n      <td>0.172963</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>2</td>\n      <td>101.0</td>\n      <td>0.019802</td>\n      <td>2.0</td>\n      <td>0x7065c53c88cff153efefc4dc042f81d795011cfdfa29...</td>\n      <td>AP-21 P</td>\n      <td>0x5E11A833d112e973661040E062F1aEdFB2BCEc1d</td>\n      <td>1</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>olympusdao.eth</td>\n      <td>0x7065c53c88cff153efefc4dc042f81d795011cfdfa29...</td>\n      <td>2023-02-10 15:57:25</td>\n      <td>TAP-21 Pilot Clearing House Deposits</td>\n      <td>0x47af52916767f0550AEE8035b5b14A1ECe2B34f4</td>\n      <td>12312.131097</td>\n      <td>2023-02-10 20:09:02</td>\n      <td>39247.403639</td>\n      <td>71766.028631</td>\n      <td>0.171559</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>3</td>\n      <td>101.0</td>\n      <td>0.029703</td>\n      <td>3.0</td>\n      <td>0x7065c53c88cff153efefc4dc042f81d795011cfdfa29...</td>\n      <td>AP-21 P</td>\n      <td>0xca6aA0576c2ADc79d2c20e6D53c07f590f62932A</td>\n      <td>2</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>olympusdao.eth</td>\n      <td>0xadd0850bb53fc31df236d61e2b53326748c80ef72f54...</td>\n      <td>2023-02-26 23:25:00</td>\n      <td>OOP-1 Funding request for 2023 Q1 and Q2 budget.</td>\n      <td>0xf10918Fc1725A65960db2b906b4868a0Fdbb6870</td>\n      <td>12548.221870</td>\n      <td>2023-02-27 16:11:17</td>\n      <td>37459.817672</td>\n      <td>63518.372116</td>\n      <td>0.197553</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>2</td>\n      <td>60.0</td>\n      <td>0.033333</td>\n      <td>3.0</td>\n      <td>0xadd0850bb53fc31df236d61e2b53326748c80ef72f54...</td>\n      <td>OP-1 Fu</td>\n      <td>0x31D960182A8e52Dd53cf910A6725aa6d66CAc570</td>\n      <td>1</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>olympusdao.eth</td>\n      <td>0x0e1173ac9585c4e46723d69ef1a4ef1995390d9d3f90...</td>\n      <td>2023-03-01 17:29:09</td>\n      <td>OIP-130: Lending AMO as a key DAO project for ...</td>\n      <td>0x721Ca5428eC12b148b34458E0f8557F4C9624630</td>\n      <td>9319.250335</td>\n      <td>2023-03-01 23:35:59</td>\n      <td>21873.977521</td>\n      <td>41788.104725</td>\n      <td>0.223012</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>2</td>\n      <td>55.0</td>\n      <td>0.036364</td>\n      <td>4.0</td>\n      <td>0x0e1173ac9585c4e46723d69ef1a4ef1995390d9d3f90...</td>\n      <td>IP-130:</td>\n      <td>0xf10918Fc1725A65960db2b906b4868a0Fdbb6870</td>\n      <td>1</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>olympusdao.eth</td>\n      <td>0xe02d0e0d6cb2ad8e6a6512ab1d138d9ec6b64919715a...</td>\n      <td>2023-03-06 18:05:46</td>\n      <td>OIP 131: Boosted Liquidity Engine as a Key Pro...</td>\n      <td>0x7DD19A3a93c7008BFBdD66375aAc8C115A886a28</td>\n      <td>13045.855173</td>\n      <td>2023-03-07 01:30:51</td>\n      <td>46413.360327</td>\n      <td>93656.137540</td>\n      <td>0.139295</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>2</td>\n      <td>80.0</td>\n      <td>0.025000</td>\n      <td>3.0</td>\n      <td>0xe02d0e0d6cb2ad8e6a6512ab1d138d9ec6b64919715a...</td>\n      <td>IP 131:</td>\n      <td>0x7E7afAAfd27F723E7178cB439982ad286508Febc</td>\n      <td>1</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>olympusdao.eth</td>\n      <td>0xe02d0e0d6cb2ad8e6a6512ab1d138d9ec6b64919715a...</td>\n      <td>2023-03-06 18:05:46</td>\n      <td>OIP 131: Boosted Liquidity Engine as a Key Pro...</td>\n      <td>0x721Ca5428eC12b148b34458E0f8557F4C9624630</td>\n      <td>9322.582409</td>\n      <td>2023-03-06 19:45:33</td>\n      <td>55735.942736</td>\n      <td>93656.137540</td>\n      <td>0.099541</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>3</td>\n      <td>80.0</td>\n      <td>0.037500</td>\n      <td>4.0</td>\n      <td>0xe02d0e0d6cb2ad8e6a6512ab1d138d9ec6b64919715a...</td>\n      <td>IP 131:</td>\n      <td>0x7DD19A3a93c7008BFBdD66375aAc8C115A886a28</td>\n      <td>2</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>olympusdao.eth</td>\n      <td>0x991058cca07d1e6f361217927a99951d200826e2ee57...</td>\n      <td>2023-03-10 05:56:07</td>\n      <td>OIP-132: wstETH/OHM Boosted Liquidity Engine</td>\n      <td>0x20eBE30b746fc22803DC5A8516DEaae07dddBB76</td>\n      <td>11236.585973</td>\n      <td>2023-03-10 22:57:47</td>\n      <td>37807.640037</td>\n      <td>77517.239246</td>\n      <td>0.144956</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>2</td>\n      <td>65.0</td>\n      <td>0.030769</td>\n      <td>3.0</td>\n      <td>0x991058cca07d1e6f361217927a99951d200826e2ee57...</td>\n      <td>IP-132:</td>\n      <td>0x7E7afAAfd27F723E7178cB439982ad286508Febc</td>\n      <td>1</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>olympusdao.eth</td>\n      <td>0x991058cca07d1e6f361217927a99951d200826e2ee57...</td>\n      <td>2023-03-10 05:56:07</td>\n      <td>OIP-132: wstETH/OHM Boosted Liquidity Engine</td>\n      <td>0x537b118fF87116aa5f420dC65D390aFf9cDf7edb</td>\n      <td>10861.675409</td>\n      <td>2023-03-10 14:34:42</td>\n      <td>48669.315446</td>\n      <td>77517.239246</td>\n      <td>0.140119</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>3</td>\n      <td>65.0</td>\n      <td>0.046154</td>\n      <td>5.0</td>\n      <td>0x991058cca07d1e6f361217927a99951d200826e2ee57...</td>\n      <td>IP-132:</td>\n      <td>0x20eBE30b746fc22803DC5A8516DEaae07dddBB76</td>\n      <td>2</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>olympusdao.eth</td>\n      <td>0x0fbdc3e8adbda28970646743492623e92e3a7c2336d4...</td>\n      <td>2023-03-10 06:06:04</td>\n      <td>OIP-133: Staking Rate Strategy</td>\n      <td>0xD73A15568daAcA9809952537eFa8269C327FF288</td>\n      <td>26427.296810</td>\n      <td>2023-03-12 06:17:23</td>\n      <td>52998.350873</td>\n      <td>96808.462708</td>\n      <td>0.272985</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>2</td>\n      <td>76.0</td>\n      <td>0.026316</td>\n      <td>3.0</td>\n      <td>0x0fbdc3e8adbda28970646743492623e92e3a7c2336d4...</td>\n      <td>IP-133:</td>\n      <td>0x7E7afAAfd27F723E7178cB439982ad286508Febc</td>\n      <td>1</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>olympusdao.eth</td>\n      <td>0x246ccd5ab718a160f03e3dbbd1280ebb5389d3637946...</td>\n      <td>2023-03-21 12:45:48</td>\n      <td>OIP-135: Olympus Grants Program 1-Year Review ...</td>\n      <td>0x721Ca5428eC12b148b34458E0f8557F4C9624630</td>\n      <td>5865.992421</td>\n      <td>2023-03-21 20:57:28</td>\n      <td>25830.222282</td>\n      <td>40592.143118</td>\n      <td>0.144511</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>2</td>\n      <td>67.0</td>\n      <td>0.029851</td>\n      <td>3.0</td>\n      <td>0x246ccd5ab718a160f03e3dbbd1280ebb5389d3637946...</td>\n      <td>IP-135:</td>\n      <td>0x7E7afAAfd27F723E7178cB439982ad286508Febc</td>\n      <td>1</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>olympusdao.eth</td>\n      <td>0xebd3cf4c019ddf8eb637c816379c8b464fc20ee78284...</td>\n      <td>2023-03-29 16:43:53</td>\n      <td>TAP-22 - Treasury Segmentation</td>\n      <td>0x8a7F162dAaC546997cc36B6B7C528A21800507B9</td>\n      <td>1958.628195</td>\n      <td>2023-03-31 20:43:25</td>\n      <td>11592.166260</td>\n      <td>20541.998518</td>\n      <td>0.095348</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>2</td>\n      <td>63.0</td>\n      <td>0.031746</td>\n      <td>3.0</td>\n      <td>0xebd3cf4c019ddf8eb637c816379c8b464fc20ee78284...</td>\n      <td>AP-22 -</td>\n      <td>0x721Ca5428eC12b148b34458E0f8557F4C9624630</td>\n      <td>1</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>olympusdao.eth</td>\n      <td>0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...</td>\n      <td>2023-03-29 16:48:46</td>\n      <td>OIP-136: Cross-chain native OHM as bonus proje...</td>\n      <td>0xaFa5DFeB5b3b16840a92D5FEc1f5ece29128696f</td>\n      <td>2136.289563</td>\n      <td>2023-03-31 00:03:02</td>\n      <td>11769.827628</td>\n      <td>25060.749115</td>\n      <td>0.085244</td>\n      <td>...</td>\n      <td>0.0</td>\n      <td>2</td>\n      <td>74.0</td>\n      <td>0.027027</td>\n      <td>3.0</td>\n      <td>0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...</td>\n      <td>IP-136:</td>\n      <td>0x721Ca5428eC12b148b34458E0f8557F4C9624630</td>\n      <td>1</td>\n      <td>2</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>olympusdao.eth</td>\n      <td>0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...</td>\n      <td>2023-03-29 16:48:46</td>\n      <td>OIP-136: Cross-chain native OHM as bonus proje...</td>\n      <td>0x8a7F162dAaC546997cc36B6B7C528A21800507B9</td>\n      <td>1958.628195</td>\n      <td>2023-03-31 20:44:55</td>\n      <td>13728.455823</td>\n      <td>25060.749115</td>\n      <td>0.078155</td>\n      <td>...</td>\n      <td>1.0</td>\n      <td>3</td>\n      <td>74.0</td>\n      <td>0.040541</td>\n      <td>4.0</td>\n      <td>0xe8117f18e79acf2e15f7254308c8d1c1138840f5c907...</td>\n      <td>IP-136:</td>\n      <td>0xaFa5DFeB5b3b16840a92D5FEc1f5ece29128696f</td>\n      <td>2</td>\n      <td>3</td>\n    </tr>\n  </tbody>\n</table>\n<p>27 rows × 21 columns</p>\n</div>"
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#leaders = crunch_data.loc[crunch_data['proposal_voter_rank'] <=3]\n",
    "#leader_count = leaders.votes_voter.nunique()\n",
    "#leader_count\n",
    "#DONT ASK ME WHY THIS DIDNT WORK. HAVE TO DO IT THE UGLY WAY\n",
    "\n",
    "leader_ranks = db.query(\"with leader_ranks as \"\n",
    "                        \"(Select distinct \"\n",
    "                        \"   B.proposals_id\"\n",
    "                        \"   ,B.votes_voter\"\n",
    "                        \"   ,B.proposal_voter_rank \"\n",
    "                        \"   ,(B.proposal_voter_rank +1) as leader_rank \"\n",
    "                        \"From \"\n",
    "                        \"   (select \"\n",
    "                               \"proposals_id\"\n",
    "                               \",votes_voter \"\n",
    "                               \",votes_choice\"\n",
    "                               \",votes_vp\"\n",
    "                               \",votes_created  \"\n",
    "                               \",sum(votes_vp) over (Partition by proposals_id  order by votes_vp desc, votes_created asc) as cumulative_vp\"\n",
    "                               \",sum(votes_vp) over (Partition by proposals_id) as total_vp\"\n",
    "                               \",(votes_vp::decimal/sum(votes_vp::decimal) over (Partition by proposals_id)) as percentage_of_total_vp \"\n",
    "                               \",((sum(votes_vp) over (Partition by proposals_id  order by votes_vp desc, votes_created asc))::decimal/sum(votes_vp::decimal) over (Partition by proposals_id)) as cum_percentage_of_total_vp \"\n",
    "                           \"    ,round((sum(votes_vp) over (Partition by proposals_id  order by votes_vp desc, votes_created asc))::decimal/sum(votes_vp::decimal) over (Partition by proposals_id)) as cum_percentage_of_total_vp_stepped \"\n",
    "                               \",row_number() over (Partition by proposals_id order by votes_vp desc, votes_created asc) as proposal_voter_rank \"\n",
    "                               \",count(votes_voter) over (Partition by proposals_id  order by votes_vp desc, votes_created asc) total_voters \"\n",
    "                               \",(count(*) over (Partition by proposals_id  order by votes_vp desc, votes_created asc))::decimal/(count(*) over (Partition by proposals_id))::decimal percentage_voters_counted \"\n",
    "                               \",round(100*(count(*) over (Partition by proposals_id  order by votes_vp desc, votes_created asc))::decimal/(count(*) over (Partition by proposals_id)))::decimal percentage_voters_counted_stepped \"\n",
    "                           \"from \"\n",
    "                           \"    governance_data  \"\n",
    "                               \"\"\n",
    "                           \"Group by \"\n",
    "                           \"    proposals_id\"\n",
    "                           \"    ,votes_voter\"\n",
    "                           \"    ,votes_choice\"\n",
    "                           \"    , votes_vp \"\n",
    "                           \"    , votes_created \"\n",
    "                           \"\"\n",
    "                           \"Order by \"\n",
    "                           \"    proposals_id \"\n",
    "                           \"    ,votes_vp desc \"\n",
    "                           \"    , votes_created asc) B \"\n",
    "                        \"where \"\n",
    "                        \"   B.cum_percentage_of_total_vp<=0.5) \"\n",
    "                        \"\"\n",
    "                        \"Select \"\n",
    "                        \"   *\"\n",
    "                        \"From crunch_data A\"\n",
    "                        \"   Join leader_ranks B on A.proposal_voter_rank = B.leader_rank and A.proposals_id = B.proposals_id\"\n",
    "                        \"\"\n",
    "                    ).df()\n",
    "leader_ranks\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T19:30:30.976623Z",
     "end_time": "2023-04-05T19:30:31.079142Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "426 3.99%\n"
     ]
    }
   ],
   "source": [
    "dao_members = crunch_data.groupby('DAO').votes_voter.nunique()\n",
    "dao_members = dao_members.iloc[0]\n",
    "leader_count =leader_ranks.votes_voter.nunique()\n",
    "elite = round((leader_count)/(dao_members),4)\n",
    "\n",
    "print(dao_members, \"{0:.2%}\".format(elite))\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:55:52.298768Z",
     "end_time": "2023-04-05T17:55:52.625835Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "outputs": [
    {
     "data": {
      "text/plain": "     percentage_voters_counted_stepped  percentage_voters_counted  \\\n0                                  1.0                   0.011111   \n1                                  2.0                   0.022222   \n2                                  3.0                   0.033333   \n3                                  4.0                   0.044444   \n4                                  6.0                   0.055556   \n..                                 ...                        ...   \n195                               22.0                   0.216667   \n196                               23.0                   0.233333   \n197                               25.0                   0.250000   \n198                               27.0                   0.266667   \n199                               28.0                   0.283333   \n\n     cum_percentage_of_total_vp proposal  \n0                      0.421857  OIP-126  \n1                      0.529941  OIP-126  \n2                      0.597676  OIP-126  \n3                      0.633026  OIP-126  \n4                      0.664800  OIP-126  \n..                          ...      ...  \n195                    0.938851  IP-127   \n196                    0.949116  IP-127   \n197                    0.958282  IP-127   \n198                    0.965874  IP-127   \n199                    0.973062  IP-127   \n\n[200 rows x 4 columns]",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\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>percentage_voters_counted_stepped</th>\n      <th>percentage_voters_counted</th>\n      <th>cum_percentage_of_total_vp</th>\n      <th>proposal</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1.0</td>\n      <td>0.011111</td>\n      <td>0.421857</td>\n      <td>OIP-126</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2.0</td>\n      <td>0.022222</td>\n      <td>0.529941</td>\n      <td>OIP-126</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3.0</td>\n      <td>0.033333</td>\n      <td>0.597676</td>\n      <td>OIP-126</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4.0</td>\n      <td>0.044444</td>\n      <td>0.633026</td>\n      <td>OIP-126</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>6.0</td>\n      <td>0.055556</td>\n      <td>0.664800</td>\n      <td>OIP-126</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>195</th>\n      <td>22.0</td>\n      <td>0.216667</td>\n      <td>0.938851</td>\n      <td>IP-127</td>\n    </tr>\n    <tr>\n      <th>196</th>\n      <td>23.0</td>\n      <td>0.233333</td>\n      <td>0.949116</td>\n      <td>IP-127</td>\n    </tr>\n    <tr>\n      <th>197</th>\n      <td>25.0</td>\n      <td>0.250000</td>\n      <td>0.958282</td>\n      <td>IP-127</td>\n    </tr>\n    <tr>\n      <th>198</th>\n      <td>27.0</td>\n      <td>0.266667</td>\n      <td>0.965874</td>\n      <td>IP-127</td>\n    </tr>\n    <tr>\n      <th>199</th>\n      <td>28.0</td>\n      <td>0.283333</td>\n      <td>0.973062</td>\n      <td>IP-127</td>\n    </tr>\n  </tbody>\n</table>\n<p>200 rows × 4 columns</p>\n</div>"
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "curve_data = db.query(\n",
    "    \"SELECT \"\n",
    "    \"   percentage_voters_counted_stepped \"\n",
    "    \"   ,percentage_voters_counted \"\n",
    "    \"   ,cum_percentage_of_total_vp \"\n",
    "    \"   ,SUBSTRING(proposals_title,2,7) proposal \"\n",
    "    \"FROM crunch_data \"\n",
    "    \"union all \"\n",
    "    \"select \"\n",
    "    \"   percentage_voters_counted_stepped \"\n",
    "    \"   , avg(percentage_voters_counted) avg_percentage_voters_counted \"\n",
    "    \"   , avg(cum_percentage_of_total_vp) avg_percentage_of_total_vp \"\n",
    "    \"   ,'Grand Average' as proposal \"\n",
    "    \"from crunch_data \"\n",
    "    \" group by 1 \"\n",
    "     ).df()\n",
    "\n",
    "curve_data.head(200)\n",
    "\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T19:28:29.503977Z",
     "end_time": "2023-04-05T19:28:29.535974Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "outputs": [],
   "source": [
    "file = input('Selet a folder to save output') ##enter your file path here - the file is in the repo \"summary_stats.csv\"."
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T16:52:10.888972Z",
     "end_time": "2023-04-05T16:52:16.927494Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "outputs": [],
   "source": [
    "path =file+'/'+spacename+'_olympus_governance_data_'+str(date.today().strftime(\"%b-%d-%Y\"))+'.csv'\n",
    "governance_data.to_csv(path, index = False)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T16:52:24.643616Z",
     "end_time": "2023-04-05T16:52:24.706255Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 314,
   "outputs": [],
   "source": [
    "path =file+'/'+spacename+'_olympus_crunch_data_'+str(date.today().strftime(\"%b-%d-%Y\"))+'.csv'\n",
    "crunch_data.to_csv(path, index = False)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T16:33:24.936380Z",
     "end_time": "2023-04-05T16:33:25.005550Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "outputs": [],
   "source": [
    "path =file+'/'+spacename+'_olympus_curve_data_'+str(date.today().strftime(\"%b-%d-%Y\"))+'.csv'\n",
    "curve_data.to_csv(path, index = False)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T17:07:47.900678Z",
     "end_time": "2023-04-05T17:07:47.931678Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ianfe\\AppData\\Local\\Temp\\ipykernel_5780\\1510506157.py:4: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
      "  data_means = crunch_data.groupby(\"percentage_voters_counted_stepped\")[\"cum_percentage_of_total_vp\",\"percentage_voters_counted\"].agg(\"mean\").reset_index()\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AxesSubplot(0.125,0.125;0.775x0.755)\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 2880x1440 with 1 Axes>",
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rc(\"figure\", figsize=(40, 20))\n",
    "#sns.set_style(\"whitegrid\")\n",
    "plt.rc(\"font\", size=25)\n",
    "data_means = crunch_data.groupby(\"percentage_voters_counted_stepped\")[\"cum_percentage_of_total_vp\",\"percentage_voters_counted\"].agg(\"mean\").reset_index()\n",
    "##print(data_means)\n",
    "plot_title = spacename + ' snapshots % of vote along population with Average as X'\n",
    "\n",
    "ax=sns.scatterplot(data=crunch_data, hue = \"proposals_id\",y=\"cum_percentage_of_total_vp\",x=\"percentage_voters_counted_stepped\").set(title=plot_title,xlabel='% of voters',ylabel='% of voting power')\n",
    "chart = sns.scatterplot(data=data_means,x=\"percentage_voters_counted_stepped\",y=\"cum_percentage_of_total_vp\",zorder=3, s=800,marker='X',color = 'orange')\n",
    "plt.legend(bbox_to_anchor=(1.02, 0.99), loc='upper left', borderaxespad=0)\n",
    "#and save the chart file, too\n",
    "print(chart)\n",
    "plt.savefig(file+'\\\\'+spacename+' vote power distribution.png',transparent =False,  dpi=100)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-04-05T19:31:44.011299Z",
     "end_time": "2023-04-05T19:31:45.485105Z"
    }
   }
  }
 ],
 "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": 0
}