{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "66577a0c-c191-429c-803f-24109621e5e6",
   "metadata": {},
   "source": [
    "<img src=\"https://5264302.fs1.hubspotusercontent-na1.net/hubfs/5264302/Demo%20Asset%20Resources/CM-Demo-miner_signatures.png\" width=1100 margin-left='auto' margin-right='auto'/>\n",
    "\n",
    "For much of its history, the Bitcoin mining industry has been notoriously opaque. Luckily, it has become a common practice for many BTC mining pools to leave a subtle \"miner signature\" in each block's coinbase transaction (not to be confused with the popular crypto exchange by the same name). This transaction contains the miner reward— currently 6.25 BTC per block—but also leaves some extra space for arbitrary data, allowing the pool to publicly assert their claim. Using ATLAS v2, we're able to extract this miner signature, enabling us to derive a variety of mining pool metrics.\n",
    "\n",
    "## Resources\n",
    "This notebook demonstrates basic functionality offered by the Coin Metrics Python API Client and ATLAS blockchain search engine.\n",
    "\n",
    "Coin Metrics offers a vast assortment of data for hundreds of cryptoassets. The Python API Client allows for easy access to this data using Python without needing to create your own wrappers using `requests` and other such libraries.\n",
    "\n",
    "To understand the data that Coin Metrics offers, feel free to peruse the resources below.\n",
    "\n",
    "- The [Coin Metrics API v4](https://docs.coinmetrics.io/api/v4) website contains the full set of endpoints and data offered by Coin Metrics.\n",
    "- The [Coin Metrics Product Documentation](https://docs.coinmetrics.io/info) gives detailed, conceptual explanations of the data that Coin Metrics offers.\n",
    "- The [API Spec](https://docs.coinmetrics.io/python-api-client/reference) contains a full list of functions."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a579a34c",
   "metadata": {},
   "source": [
    "## Notebook Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "565def2c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from os import environ\n",
    "import sys\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import logging\n",
    "from datetime import date, datetime, timedelta\n",
    "from coinmetrics.api_client import CoinMetricsClient\n",
    "import json\n",
    "import logging\n",
    "import matplotlib.dates as mdates\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as mtick\n",
    "from matplotlib.ticker import FormatStrFormatter, FuncFormatter\n",
    "from matplotlib import font_manager\n",
    "import cmasher as cmr\n",
    "import re\n",
    "%matplotlib inline\n",
    "import plotly\n",
    "from plotly.subplots import make_subplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2b73b94b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "logging.basicConfig(\n",
    "    format='%(asctime)s %(levelname)-8s %(message)s',\n",
    "    level=logging.INFO,\n",
    "    datefmt='%Y-%m-%d %H:%M:%S'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d3401fee-b6a4-4d9c-a756-9f4933035c8a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-04 13:46:00 INFO     Using API key found in environment\n"
     ]
    }
   ],
   "source": [
    "# We recommend privately storing your API key in your local environment.\n",
    "try:\n",
    "    api_key = environ[\"CM_API_KEY\"]\n",
    "    logging.info(\"Using API key found in environment\")\n",
    "except KeyError:\n",
    "    api_key = \"\"\n",
    "    logging.info(\"API key not found. Using community client\")\n",
    "\n",
    "client = CoinMetricsClient(api_key)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3ed73e61-af58-4341-b9c5-d23f89b4469b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['#80B1D3', '#8DD3C7', '#B3DE69', '#BC80BD', '#BEBADA', '#CCEBC5',\n",
       "       '#D9D9D9', '#FB8072', '#FCCDE5', '#FDB462', '#FFED6F', '#FFFFB3'],\n",
       "      dtype='<U7')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "colors = np.unique(cmr.take_cmap_colors('Set3', 15, return_fmt='hex'))\n",
    "colors"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c352e0e",
   "metadata": {},
   "source": [
    "# ATLAS V2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f80d6541",
   "metadata": {},
   "source": [
    "## Retrieve Block Info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c2f9d7db",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Exporting to dataframe type: 100%|██████████| 366/366 [00:06<00:00, 58.56it/s] \n"
     ]
    }
   ],
   "source": [
    "block_info = client.get_list_of_blocks_v2(\n",
    "    asset='btc',\n",
    "    start_time=datetime.now()-timedelta(days=365),\n",
    "    page_size=10000\n",
    ").parallel(time_increment=timedelta(days=1)).to_dataframe()\n",
    "block_info['extra_data'] = block_info['extra_data'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "520a36b5-06ac-4511-958a-0d0819e7ae5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>consensus_time</th>\n",
       "      <th>miner_time</th>\n",
       "      <th>n_transactions</th>\n",
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       "      <th>consensus_size_limit</th>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>810762</td>\n",
       "      <td>2023-10-05 14:04:54+00:00</td>\n",
       "      <td>2023-10-05 15:26:11+00:00</td>\n",
       "      <td>2689</td>\n",
       "      <td>18732</td>\n",
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       "      <td>388afcd5</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>00000000000000000004cd165ee9f93e68460c37173027...</td>\n",
       "      <td>810764</td>\n",
       "      <td>2023-10-05 14:36:46+00:00</td>\n",
       "      <td>2023-10-05 15:40:56+00:00</td>\n",
       "      <td>3227</td>\n",
       "      <td>20335</td>\n",
       "      <td>00000000000000000004090783eb83951d6d9c91dd88f3...</td>\n",
       "      <td>003804fb</td>\n",
       "      <td>030c5f0c194d696e656420627920416e74506f6f6c20f8...</td>\n",
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       "    <tr>\n",
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       "      <td>903b489a</td>\n",
       "      <td>030d5f0c2cfabe6d6d0d426074ccdd9e3b0fe208ab9af1...</td>\n",
       "      <td>538968064</td>\n",
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       "      <td>1515726</td>\n",
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      ],
      "text/plain": [
       "                                          block_hash  height  \\\n",
       "0  00000000000000000003cd8c9919b1073bab32cee67bfb...  810761   \n",
       "1  000000000000000000000d070d5b4fb5c69ee6bae4bab6...  810762   \n",
       "2  00000000000000000004090783eb83951d6d9c91dd88f3...  810763   \n",
       "3  00000000000000000004cd165ee9f93e68460c37173027...  810764   \n",
       "4  00000000000000000000fb654d8199a1fc240af3bbc173...  810765   \n",
       "\n",
       "             consensus_time                miner_time  n_transactions  \\\n",
       "0 2023-10-05 13:54:00+00:00 2023-10-05 15:21:03+00:00            3658   \n",
       "1 2023-10-05 14:04:54+00:00 2023-10-05 15:26:11+00:00            2689   \n",
       "2 2023-10-05 14:28:43+00:00 2023-10-05 15:33:08+00:00            2528   \n",
       "3 2023-10-05 14:36:46+00:00 2023-10-05 15:40:56+00:00            3227   \n",
       "4 2023-10-05 14:57:48+00:00 2023-10-05 15:50:03+00:00            3078   \n",
       "\n",
       "   n_balance_updates                                  parent_block_hash  \\\n",
       "0              22668  00000000000000000002667c723b1a1f559ed920504ab6...   \n",
       "1              18732  00000000000000000003cd8c9919b1073bab32cee67bfb...   \n",
       "2              17306  000000000000000000000d070d5b4fb5c69ee6bae4bab6...   \n",
       "3              20335  00000000000000000004090783eb83951d6d9c91dd88f3...   \n",
       "4              19352  00000000000000000004cd165ee9f93e68460c37173027...   \n",
       "\n",
       "      nonce                                         extra_data    version  \\\n",
       "0  3789b287  03095f0c1b4d696e656420627920416e74506f6f6c3830...  545259520   \n",
       "1  388afcd5  030a5f0c45022f62696e616e63652f323139fabe6d6d6d...  536993792   \n",
       "2  9b7ba148  030b5f0c192f5669614254432f4d696e6564206279207a...  536928256   \n",
       "3  003804fb  030c5f0c194d696e656420627920416e74506f6f6c20f8...  805298176   \n",
       "4  903b489a  030d5f0c2cfabe6d6d0d426074ccdd9e3b0fe208ab9af1...  538968064   \n",
       "\n",
       "              difficulty  physical_size  consensus_size  consensus_size_limit  \n",
       "0  57321508229258.039062        1543713         3993396               4000000  \n",
       "1  57321508229258.039062        1494856         3993547               4000000  \n",
       "2  57321508229258.039062        1422613         3993322               4000000  \n",
       "3  57321508229258.039062        1572755         3993278               4000000  \n",
       "4  57321508229258.039062        1515726         3997698               4000000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "block_info.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f84aca35-7921-4b9f-a603-ad32ecb97d70",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Assign 'empty' to rows where n_transactions == 1\n",
    "block_info.loc[block_info['n_transactions'] == 1, 'category'] = 'Empty'\n",
    "\n",
    "# Assign 'not empty' to remaining rows\n",
    "block_info.loc[block_info['n_transactions'] != 1, 'category'] = 'Not Empty'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9ac2d175-d955-4e7a-a283-3ffb870cbbcb",
   "metadata": {},
   "outputs": [
    {
     "data": {
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     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "block_info['extra_data'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "53cee5f2-6321-4b92-b6c5-35f0bc7409c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert_to_human_readable_ascii(s):\n",
    "    # Check if the input string is a valid hexadecimal string\n",
    "    if all(c in '0123456789abcdefABCDEF' for c in s):\n",
    "        # Convert the input string to bytes\n",
    "        b = bytes.fromhex(s)\n",
    "        # Decode the bytes using the ISO-8859-1 encoding\n",
    "        result = b.decode('ISO-8859-1')\n",
    "        return result\n",
    "    else:\n",
    "        # Return an error message if the input string is not a valid hexadecimal string\n",
    "        return 'Error: input is not a valid hexadecimal string'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4947b401-ccb5-4c4a-82d7-8dc65974a846",
   "metadata": {},
   "outputs": [],
   "source": [
    "block_info['miner_tag'] = block_info['extra_data'].apply(convert_to_human_readable_ascii)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5441b09a-7d32-490e-8112-8025a2fcec9c",
   "metadata": {},
   "outputs": [
    {
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       "      <th>53387</th>\n",
       "      <td>\u0003”/\\r\u0004c\u001c\u0000g/Foundry USA Pool #dropgold/+J\u0000½\u000f­\u001d\u0000...</td>\n",
       "      <td>864148</td>\n",
       "      <td>2024-10-04 15:56:39+00:00</td>\n",
       "      <td>Not Empty</td>\n",
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       "    <tr>\n",
       "      <th>53388</th>\n",
       "      <td>\u0003•/\\r\u0019Mined by AntPool è\u0001A\u0004”x®øú¾mm6úœq\u001f2\u0010i’F\u001c...</td>\n",
       "      <td>864149</td>\n",
       "      <td>2024-10-04 15:56:44+00:00</td>\n",
       "      <td>Not Empty</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53389</th>\n",
       "      <td>\u0003–/\\r\u0019Mined by AntPool \u0017\u0000\u0004\u0002ž„µóú¾mm¹ýŒ½kØ]\u0013\u0011Œ\"...</td>\n",
       "      <td>864150</td>\n",
       "      <td>2024-10-04 16:22:20+00:00</td>\n",
       "      <td>Not Empty</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>53390 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               miner_tag  height  \\\n",
       "0      \u0003\\t_\n",
       "\u001bMined by AntPool806ø\u0000È\u0002*Î\n",
       "uú¾mmz¸d³w·×Þ...  810761   \n",
       "1      \u0003\\n_\n",
       "E\u0002/binance/219ú¾mmm¡¾\u0004¼a04Vy>‚IC°˜Jgò ¡Ð0...  810762   \n",
       "2      \u0003\n",
       "_\n",
       "\u0019/ViaBTC/Mined by z180203/,ú¾mmžñÊ1ä¾Ú!³K...  810763   \n",
       "3      \u0003\n",
       "_\n",
       "\u0019Mined by AntPool ø\u0000¢\u00031ê%-ú¾mm»âHjéZ¾®¨!M...  810764   \n",
       "4      \u0003\\r_\n",
       ",ú¾mm\\rB`tÌݞ;\u000fâ\b«šñ\\tÆ¢è\u0011ür¹³\u0018\u001aa\\rmá\\rÚ...  810765   \n",
       "...                                                  ...     ...   \n",
       "53385       \u0003’/\\r\u0013< OCEAN.XYZ >\u000f\u000f3OD\u0000\u0002ã.\u000eˆ–³Lð\\n\u001f\u0004\u0000\u0000\u0000\u0000\u0000\u0000  864146   \n",
       "53386  \u0003“/\\r,ú¾mm‘\n",
       "÷$@o\n",
       "ȗ$~œ¸ÑÆn‘¹Ô3 ñî\u0011õä\u0010ˆ‘\n",
       "¼‘\u0010\u0000\u0000\u0000...  864147   \n",
       "53387  \u0003”/\\r\u0004c\n",
       "\u0000g/Foundry USA Pool #dropgold/+J\u0000½\u000f­\n",
       "\u0000...  864148   \n",
       "53388  \u0003•/\\r\u0019Mined by AntPool è\u0001A\u0004”x®øú¾mm6úœq\u001f2\u0010i’F\n",
       "...  864149   \n",
       "53389  \u0003–/\\r\u0019Mined by AntPool \u0017\u0000\u0004\u0002ž„µóú¾mm¹ýŒ½kØ]\u0013\u0011Œ\"...  864150   \n",
       "\n",
       "                 consensus_time   category  \n",
       "0     2023-10-05 13:54:00+00:00  Not Empty  \n",
       "1     2023-10-05 14:04:54+00:00  Not Empty  \n",
       "2     2023-10-05 14:28:43+00:00  Not Empty  \n",
       "3     2023-10-05 14:36:46+00:00  Not Empty  \n",
       "4     2023-10-05 14:57:48+00:00  Not Empty  \n",
       "...                         ...        ...  \n",
       "53385 2024-10-04 15:50:04+00:00  Not Empty  \n",
       "53386 2024-10-04 15:51:50+00:00  Not Empty  \n",
       "53387 2024-10-04 15:56:39+00:00  Not Empty  \n",
       "53388 2024-10-04 15:56:44+00:00  Not Empty  \n",
       "53389 2024-10-04 16:22:20+00:00  Not Empty  \n",
       "\n",
       "[53390 rows x 4 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "block_signed = pd.DataFrame(block_info[['miner_tag','height','consensus_time','category']])\n",
    "block_signed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3e4e139c-58b8-4870-b984-221ef99485bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# List of strings included in coinbase signature\n",
    "miners = ['AntPool', 'ViaBTC', 'binance', 'Binance', 'Foundry', 'Luxor', \n",
    "          'SlushPool', 'slush', 'BTC.com','BTC.COM','btc.com','btccom',\n",
    "          'bitdeer','btcpool', 'F2Pool', 'poolin','xxxxxx.com','CKPool', \n",
    "          'BTC.TOP', 'BTCC', 'MARA Pool', 'Mara Pool', 'SpiderPool']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "970b56c3-68e0-497c-9cbb-c6da0581d65d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def detect_keywords(df, column, keywords):\n",
    "    # Create a new column called 'miner'\n",
    "    df['miner'] = None\n",
    "    # Iterate over the miner names\n",
    "    for miner in miners:\n",
    "        # Use the update method to detect the miner name in the specified column\n",
    "        # df['miner'].update(df[column].str.extract(rf'({miner})', expand=False))\n",
    "        df.update({'miner':df[column].str.extract(rf'({miner})', expand=False)})\n",
    "    # Replace any rows where the 'miner' column is None with 'Unknown'\n",
    "    df['miner'] = df['miner'].replace({None: 'Other'})\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "446a85b7-c4ad-43c3-8668-4319d30ce16a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>miner_tag</th>\n",
       "      <th>height</th>\n",
       "      <th>category</th>\n",
       "      <th>miner</th>\n",
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       "    <tr>\n",
       "      <th>consensus_time</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-10-05 13:54:00+00:00</th>\n",
       "      <td>\u0003\\t_\f\u001bMined by AntPool806ø\u0000È\u0002*Î\u000buú¾mmz¸d³w·×Þ...</td>\n",
       "      <td>810761</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>AntPool</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-05 14:04:54+00:00</th>\n",
       "      <td>\u0003\\n_\fE\u0002/binance/219ú¾mmm¡¾\u0004¼a04Vy&gt;‚IC°˜Jgò ¡Ð0...</td>\n",
       "      <td>810762</td>\n",
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       "    <tr>\n",
       "      <th>2023-10-05 14:28:43+00:00</th>\n",
       "      <td>\u0003\u000b_\f\u0019/ViaBTC/Mined by z180203/,ú¾mmžñÊ1ä¾Ú!³K...</td>\n",
       "      <td>810763</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>ViaBTC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-05 14:36:46+00:00</th>\n",
       "      <td>\u0003\f_\f\u0019Mined by AntPool ø\u0000¢\u00031ê%-ú¾mm»âHjéZ¾®¨!M...</td>\n",
       "      <td>810764</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>AntPool</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-05 14:57:48+00:00</th>\n",
       "      <td>\u0003\\r_\f,ú¾mm\\rB`tÌݞ;\u000fâ\b«šñ\\tÆ¢è\u0011ür¹³\u0018\u001aa\\rmá\\rÚ...</td>\n",
       "      <td>810765</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>F2Pool</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>2024-10-04 15:50:04+00:00</th>\n",
       "      <td>\u0003’/\\r\u0013&lt; OCEAN.XYZ &gt;\u000f\u000f3OD\u0000\u0002ã.\u000eˆ–³Lð\\n\u001f\u0004\u0000\u0000\u0000\u0000\u0000\u0000</td>\n",
       "      <td>864146</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-04 15:51:50+00:00</th>\n",
       "      <td>\u0003“/\\r,ú¾mm‘…÷$@o\u001dȗ$~œ¸ÑÆn‘¹Ô3 ñî\u0011õä\u0010ˆ‘\f¼‘\u0010\u0000\u0000\u0000...</td>\n",
       "      <td>864147</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>F2Pool</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-04 15:56:39+00:00</th>\n",
       "      <td>\u0003”/\\r\u0004c\u001c\u0000g/Foundry USA Pool #dropgold/+J\u0000½\u000f­\u001d\u0000...</td>\n",
       "      <td>864148</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>Foundry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-04 15:56:44+00:00</th>\n",
       "      <td>\u0003•/\\r\u0019Mined by AntPool è\u0001A\u0004”x®øú¾mm6úœq\u001f2\u0010i’F\u001c...</td>\n",
       "      <td>864149</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>AntPool</td>\n",
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       "    <tr>\n",
       "      <th>2024-10-04 16:22:20+00:00</th>\n",
       "      <td>\u0003–/\\r\u0019Mined by AntPool \u0017\u0000\u0004\u0002ž„µóú¾mm¹ýŒ½kØ]\u0013\u0011Œ\"...</td>\n",
       "      <td>864150</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>AntPool</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>53390 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                   miner_tag  \\\n",
       "consensus_time                                                                 \n",
       "2023-10-05 13:54:00+00:00  \u0003\\t_\n",
       "\u001bMined by AntPool806ø\u0000È\u0002*Î\n",
       "uú¾mmz¸d³w·×Þ...   \n",
       "2023-10-05 14:04:54+00:00  \u0003\\n_\n",
       "E\u0002/binance/219ú¾mmm¡¾\u0004¼a04Vy>‚IC°˜Jgò ¡Ð0...   \n",
       "2023-10-05 14:28:43+00:00  \u0003\n",
       "_\n",
       "\u0019/ViaBTC/Mined by z180203/,ú¾mmžñÊ1ä¾Ú!³K...   \n",
       "2023-10-05 14:36:46+00:00  \u0003\n",
       "_\n",
       "\u0019Mined by AntPool ø\u0000¢\u00031ê%-ú¾mm»âHjéZ¾®¨!M...   \n",
       "2023-10-05 14:57:48+00:00  \u0003\\r_\n",
       ",ú¾mm\\rB`tÌݞ;\u000fâ\b«šñ\\tÆ¢è\u0011ür¹³\u0018\u001aa\\rmá\\rÚ...   \n",
       "...                                                                      ...   \n",
       "2024-10-04 15:50:04+00:00       \u0003’/\\r\u0013< OCEAN.XYZ >\u000f\u000f3OD\u0000\u0002ã.\u000eˆ–³Lð\\n\u001f\u0004\u0000\u0000\u0000\u0000\u0000\u0000   \n",
       "2024-10-04 15:51:50+00:00  \u0003“/\\r,ú¾mm‘\n",
       "÷$@o\n",
       "ȗ$~œ¸ÑÆn‘¹Ô3 ñî\u0011õä\u0010ˆ‘\n",
       "¼‘\u0010\u0000\u0000\u0000...   \n",
       "2024-10-04 15:56:39+00:00  \u0003”/\\r\u0004c\n",
       "\u0000g/Foundry USA Pool #dropgold/+J\u0000½\u000f­\n",
       "\u0000...   \n",
       "2024-10-04 15:56:44+00:00  \u0003•/\\r\u0019Mined by AntPool è\u0001A\u0004”x®øú¾mm6úœq\u001f2\u0010i’F\n",
       "...   \n",
       "2024-10-04 16:22:20+00:00  \u0003–/\\r\u0019Mined by AntPool \u0017\u0000\u0004\u0002ž„µóú¾mm¹ýŒ½kØ]\u0013\u0011Œ\"...   \n",
       "\n",
       "                           height   category    miner  \n",
       "consensus_time                                         \n",
       "2023-10-05 13:54:00+00:00  810761  Not Empty  AntPool  \n",
       "2023-10-05 14:04:54+00:00  810762  Not Empty  binance  \n",
       "2023-10-05 14:28:43+00:00  810763  Not Empty   ViaBTC  \n",
       "2023-10-05 14:36:46+00:00  810764  Not Empty  AntPool  \n",
       "2023-10-05 14:57:48+00:00  810765  Not Empty   F2Pool  \n",
       "...                           ...        ...      ...  \n",
       "2024-10-04 15:50:04+00:00  864146  Not Empty    Other  \n",
       "2024-10-04 15:51:50+00:00  864147  Not Empty   F2Pool  \n",
       "2024-10-04 15:56:39+00:00  864148  Not Empty  Foundry  \n",
       "2024-10-04 15:56:44+00:00  864149  Not Empty  AntPool  \n",
       "2024-10-04 16:22:20+00:00  864150  Not Empty  AntPool  \n",
       "\n",
       "[53390 rows x 4 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "miners_tagged = detect_keywords(block_signed, 'miner_tag', miners)\n",
    "miners_tagged = miners_tagged.set_index('consensus_time')\n",
    "miners_tagged"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "1dd96731-96e5-43b9-a7d9-1adabd0781f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def transform_index_to_date(index):\n",
    "    datetime_index = pd.to_datetime(index)\n",
    "    date_index = [datetime.date(datetime_obj) for datetime_obj in datetime_index]\n",
    "    return date_index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f3875806-7c56-4d92-a861-e6d0873fa05a",
   "metadata": {},
   "outputs": [],
   "source": [
    "date_index = transform_index_to_date(miners_tagged.index)\n",
    "miners_tagged.index = pd.to_datetime(date_index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c224b691-fa20-4e27-923c-1ca4fe3c7b61",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>2023-10-05</th>\n",
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       "      <th>2023-10-05</th>\n",
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       "      <th>2023-10-05</th>\n",
       "      <td>\u0003\u000b_\f\u0019/ViaBTC/Mined by z180203/,ú¾mmžñÊ1ä¾Ú!³K...</td>\n",
       "      <td>810763</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>ViaBTC</td>\n",
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       "    <tr>\n",
       "      <th>2023-10-05</th>\n",
       "      <td>\u0003\f_\f\u0019Mined by AntPool ø\u0000¢\u00031ê%-ú¾mm»âHjéZ¾®¨!M...</td>\n",
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       "      <td>Not Empty</td>\n",
       "      <td>AntPool</td>\n",
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       "    <tr>\n",
       "      <th>2023-10-05</th>\n",
       "      <td>\u0003\\r_\f,ú¾mm\\rB`tÌݞ;\u000fâ\b«šñ\\tÆ¢è\u0011ür¹³\u0018\u001aa\\rmá\\rÚ...</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>2024-10-04</th>\n",
       "      <td>\u0003’/\\r\u0013&lt; OCEAN.XYZ &gt;\u000f\u000f3OD\u0000\u0002ã.\u000eˆ–³Lð\\n\u001f\u0004\u0000\u0000\u0000\u0000\u0000\u0000</td>\n",
       "      <td>864146</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>Other</td>\n",
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       "    <tr>\n",
       "      <th>2024-10-04</th>\n",
       "      <td>\u0003“/\\r,ú¾mm‘…÷$@o\u001dȗ$~œ¸ÑÆn‘¹Ô3 ñî\u0011õä\u0010ˆ‘\f¼‘\u0010\u0000\u0000\u0000...</td>\n",
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       "      <td>F2Pool</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-04</th>\n",
       "      <td>\u0003”/\\r\u0004c\u001c\u0000g/Foundry USA Pool #dropgold/+J\u0000½\u000f­\u001d\u0000...</td>\n",
       "      <td>864148</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>Foundry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-04</th>\n",
       "      <td>\u0003•/\\r\u0019Mined by AntPool è\u0001A\u0004”x®øú¾mm6úœq\u001f2\u0010i’F\u001c...</td>\n",
       "      <td>864149</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>AntPool</td>\n",
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       "    <tr>\n",
       "      <th>2024-10-04</th>\n",
       "      <td>\u0003–/\\r\u0019Mined by AntPool \u0017\u0000\u0004\u0002ž„µóú¾mm¹ýŒ½kØ]\u0013\u0011Œ\"...</td>\n",
       "      <td>864150</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>AntPool</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "                                                    miner_tag  height  \\\n",
       "2023-10-05  \u0003\\t_\n",
       "\u001bMined by AntPool806ø\u0000È\u0002*Î\n",
       "uú¾mmz¸d³w·×Þ...  810761   \n",
       "2023-10-05  \u0003\\n_\n",
       "E\u0002/binance/219ú¾mmm¡¾\u0004¼a04Vy>‚IC°˜Jgò ¡Ð0...  810762   \n",
       "2023-10-05  \u0003\n",
       "_\n",
       "\u0019/ViaBTC/Mined by z180203/,ú¾mmžñÊ1ä¾Ú!³K...  810763   \n",
       "2023-10-05  \u0003\n",
       "_\n",
       "\u0019Mined by AntPool ø\u0000¢\u00031ê%-ú¾mm»âHjéZ¾®¨!M...  810764   \n",
       "2023-10-05  \u0003\\r_\n",
       ",ú¾mm\\rB`tÌݞ;\u000fâ\b«šñ\\tÆ¢è\u0011ür¹³\u0018\u001aa\\rmá\\rÚ...  810765   \n",
       "...                                                       ...     ...   \n",
       "2024-10-04       \u0003’/\\r\u0013< OCEAN.XYZ >\u000f\u000f3OD\u0000\u0002ã.\u000eˆ–³Lð\\n\u001f\u0004\u0000\u0000\u0000\u0000\u0000\u0000  864146   \n",
       "2024-10-04  \u0003“/\\r,ú¾mm‘\n",
       "÷$@o\n",
       "ȗ$~œ¸ÑÆn‘¹Ô3 ñî\u0011õä\u0010ˆ‘\n",
       "¼‘\u0010\u0000\u0000\u0000...  864147   \n",
       "2024-10-04  \u0003”/\\r\u0004c\n",
       "\u0000g/Foundry USA Pool #dropgold/+J\u0000½\u000f­\n",
       "\u0000...  864148   \n",
       "2024-10-04  \u0003•/\\r\u0019Mined by AntPool è\u0001A\u0004”x®øú¾mm6úœq\u001f2\u0010i’F\n",
       "...  864149   \n",
       "2024-10-04  \u0003–/\\r\u0019Mined by AntPool \u0017\u0000\u0004\u0002ž„µóú¾mm¹ýŒ½kØ]\u0013\u0011Œ\"...  864150   \n",
       "\n",
       "             category    miner  \n",
       "2023-10-05  Not Empty  AntPool  \n",
       "2023-10-05  Not Empty  binance  \n",
       "2023-10-05  Not Empty   ViaBTC  \n",
       "2023-10-05  Not Empty  AntPool  \n",
       "2023-10-05  Not Empty   F2Pool  \n",
       "...               ...      ...  \n",
       "2024-10-04  Not Empty    Other  \n",
       "2024-10-04  Not Empty   F2Pool  \n",
       "2024-10-04  Not Empty  Foundry  \n",
       "2024-10-04  Not Empty  AntPool  \n",
       "2024-10-04  Not Empty  AntPool  \n",
       "\n",
       "[53390 rows x 4 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "miners_tagged"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d38f79e0-23cf-4e50-a15e-b8124a6bcc17",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>miner_tag</th>\n",
       "      <th>height</th>\n",
       "      <th>category</th>\n",
       "      <th>miner</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-10-05</th>\n",
       "      <td>\u0003 _\f\u0014F°,ñ\b¿\u0001\u0000\u0000\u0000\u0000/NiceHash/</td>\n",
       "      <td>810784</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>Other</td>\n",
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       "    <tr>\n",
       "      <th>2023-10-06</th>\n",
       "      <td>\u0003¬_\f\u0014/ultimus/783p\u0000?\u0000DòuÄú¾mm(0„³\u001b4yï@×ì7HWlù»...</td>\n",
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       "      <td>Other</td>\n",
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       "    <tr>\n",
       "      <th>2023-10-06</th>\n",
       "      <td>\u0003Ë_\f\u0001 \u0013\\t\\t\\t \\t\\t \\t\u0010\u0013_‡‰\u001c[\u0000\u0000\u0000\u0000</td>\n",
       "      <td>810955</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-06</th>\n",
       "      <td>\u0003Ö_\f\u0014/ultimus/787p\u0000\\\u0002ÏD\u0003­ú¾mmàÀ.,±r\u000e}?^º¿ŸrE¨æ...</td>\n",
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       "      <td>Not Empty</td>\n",
       "      <td>Other</td>\n",
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       "    <tr>\n",
       "      <th>2023-10-07</th>\n",
       "      <td>\u0003\u0013`\f\u0004w\u000b!e/SBICrypto.com Pool/\u0004ø\u0007³bS\u0002\u0000\u0000\u0000\u0000\u0000</td>\n",
       "      <td>811027</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>2024-10-03</th>\n",
       "      <td>\u0003\u0005/\\r\u0018Mined by SecPool›\u0000)\u0005Õ\u000bŸ­ú¾mmÑ\u0010À”)Ñg\u001a\u0006ò2e...</td>\n",
       "      <td>864005</td>\n",
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       "      <td>Other</td>\n",
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       "    <tr>\n",
       "      <th>2024-10-03</th>\n",
       "      <td>\u0003\u0006/\\r\u0018Mined by SecPool›\u00009\u0007ÕuRíú¾mm\u000e(5\u0007L,±\u0018kÏä½...</td>\n",
       "      <td>864006</td>\n",
       "      <td>Not Empty</td>\n",
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       "    <tr>\n",
       "      <th>2024-10-04</th>\n",
       "      <td>\u0003C/\\r\u0001 \u0013\\t\\t\\t \\t\\t \\t\u0010\u000eÉ\u0000\u0000„\u0015\\n\u0000\u0000\u0000</td>\n",
       "      <td>864067</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-04</th>\n",
       "      <td>\u0003l/\\r\u0004dÏÿf/SBICrypto.com Pool/\u0002\\r$²v\u0001\u0000\u0000\u0000\u0000\u0000\u0000</td>\n",
       "      <td>864108</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>Other</td>\n",
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       "    <tr>\n",
       "      <th>2024-10-04</th>\n",
       "      <td>\u0003’/\\r\u0013&lt; OCEAN.XYZ &gt;\u000f\u000f3OD\u0000\u0002ã.\u000eˆ–³Lð\\n\u001f\u0004\u0000\u0000\u0000\u0000\u0000\u0000</td>\n",
       "      <td>864146</td>\n",
       "      <td>Not Empty</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3060 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    miner_tag  height  \\\n",
       "2023-10-05                         \u0003 _\n",
       "\u0014F°,ñ\b¿\u0001\u0000\u0000\u0000\u0000/NiceHash/  810784   \n",
       "2023-10-06  \u0003¬_\n",
       "\u0014/ultimus/783p\u0000?\u0000DòuÄú¾mm(0„³\u001b4yï@×ì7HWlù»...  810924   \n",
       "2023-10-06                   \u0003Ë_\n",
       "\u0001 \u0013\\t\\t\\t \\t\\t \\t\u0010\u0013_‡‰\n",
       "[\u0000\u0000\u0000\u0000  810955   \n",
       "2023-10-06  \u0003Ö_\n",
       "\u0014/ultimus/787p\u0000\\\u0002ÏD\u0003­ú¾mmàÀ.,±r\u000e}?^º¿ŸrE¨æ...  810966   \n",
       "2023-10-07          \u0003\u0013`\n",
       "\u0004w\n",
       "!e/SBICrypto.com Pool/\u0004ø\u0007³bS\u0002\u0000\u0000\u0000\u0000\u0000  811027   \n",
       "...                                                       ...     ...   \n",
       "2024-10-03  \u0003\u0005/\\r\u0018Mined by SecPool›\u0000)\u0005Õ\n",
       "Ÿ­ú¾mmÑ\u0010À”)Ñg\u001a\u0006ò2e...  864005   \n",
       "2024-10-03  \u0003\u0006/\\r\u0018Mined by SecPool›\u00009\u0007ÕuRíú¾mm\u000e(5\u0007L,±\u0018kÏä½...  864006   \n",
       "2024-10-04                 \u0003C/\\r\u0001 \u0013\\t\\t\\t \\t\\t \\t\u0010\u000eÉ\u0000\u0000„\u0015\\n\u0000\u0000\u0000  864067   \n",
       "2024-10-04        \u0003l/\\r\u0004dÏÿf/SBICrypto.com Pool/\u0002\\r$²v\u0001\u0000\u0000\u0000\u0000\u0000\u0000  864108   \n",
       "2024-10-04       \u0003’/\\r\u0013< OCEAN.XYZ >\u000f\u000f3OD\u0000\u0002ã.\u000eˆ–³Lð\\n\u001f\u0004\u0000\u0000\u0000\u0000\u0000\u0000  864146   \n",
       "\n",
       "             category  miner  \n",
       "2023-10-05  Not Empty  Other  \n",
       "2023-10-06  Not Empty  Other  \n",
       "2023-10-06  Not Empty  Other  \n",
       "2023-10-06  Not Empty  Other  \n",
       "2023-10-07  Not Empty  Other  \n",
       "...               ...    ...  \n",
       "2024-10-03  Not Empty  Other  \n",
       "2024-10-03  Not Empty  Other  \n",
       "2024-10-04  Not Empty  Other  \n",
       "2024-10-04  Not Empty  Other  \n",
       "2024-10-04  Not Empty  Other  \n",
       "\n",
       "[3060 rows x 4 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "other_miners = miners_tagged.loc[miners_tagged['miner'] == 'Other']\n",
    "other_miners"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3c38daaa-c5db-4309-ad7e-d957c65c675f",
   "metadata": {},
   "outputs": [],
   "source": [
    "miners_tagged['miner'] = miners_tagged['miner'].replace('xxxxxx.com', 'Poolin')\n",
    "miners_tagged['miner'] = miners_tagged['miner'].replace('poolin', 'Poolin')\n",
    "miners_tagged['miner'] = miners_tagged['miner'].replace('btccom', 'BTC.com')\n",
    "miners_tagged['miner'] = miners_tagged['miner'].replace('btc.com', 'BTC.com')\n",
    "miners_tagged['miner'] = miners_tagged['miner'].replace('btcpool', 'BTC.com')\n",
    "miners_tagged['miner'] = miners_tagged['miner'].replace('bitdeer', 'BTC.com')\n",
    "miners_tagged['miner'] = miners_tagged['miner'].replace('slush', 'Braiins Pool')\n",
    "miners_tagged['miner'] = miners_tagged['miner'].replace('binance', 'Binance Pool')\n",
    "miners_tagged['miner'] = miners_tagged['miner'].replace('Binance', 'Binance Pool')\n",
    "miners_tagged['miner'] = miners_tagged['miner'].replace('Mara Pool', 'MARA Pool')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "140044bb-d3e7-4075-a22e-12d841a603aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Group the data by the date and calculate the relative proportions of each category\n",
    "data = miners_tagged.groupby(miners_tagged.index.date)['miner'].value_counts(normalize=True)\n",
    "data = data.unstack()\n",
    "\n",
    "averages = data.sum()\n",
    "averages = pd.DataFrame(averages.sort_values(ascending=False))\n",
    "averages = averages.index.tolist()\n",
    "data = data[averages]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "adc54ad9-a81e-4cdb-a845-3f83bb5c6fb0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>miner</th>\n",
       "      <th>Foundry</th>\n",
       "      <th>AntPool</th>\n",
       "      <th>ViaBTC</th>\n",
       "      <th>F2Pool</th>\n",
       "      <th>Other</th>\n",
       "      <th>Binance Pool</th>\n",
       "      <th>MARA Pool</th>\n",
       "      <th>Luxor</th>\n",
       "      <th>SpiderPool</th>\n",
       "      <th>Braiins Pool</th>\n",
       "      <th>BTC.com</th>\n",
       "      <th>Poolin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-10-05</th>\n",
       "      <td>0.178571</td>\n",
       "      <td>0.303571</td>\n",
       "      <td>0.160714</td>\n",
       "      <td>0.160714</td>\n",
       "      <td>0.017857</td>\n",
       "      <td>0.125000</td>\n",
       "      <td>0.017857</td>\n",
       "      <td>0.035714</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-06</th>\n",
       "      <td>0.237500</td>\n",
       "      <td>0.256250</td>\n",
       "      <td>0.112500</td>\n",
       "      <td>0.143750</td>\n",
       "      <td>0.018750</td>\n",
       "      <td>0.081250</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>0.043750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.006250</td>\n",
       "      <td>0.012500</td>\n",
       "      <td>0.025000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-07</th>\n",
       "      <td>0.263158</td>\n",
       "      <td>0.280702</td>\n",
       "      <td>0.087719</td>\n",
       "      <td>0.122807</td>\n",
       "      <td>0.046784</td>\n",
       "      <td>0.046784</td>\n",
       "      <td>0.040936</td>\n",
       "      <td>0.035088</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.011696</td>\n",
       "      <td>0.046784</td>\n",
       "      <td>0.017544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-08</th>\n",
       "      <td>0.310811</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.121622</td>\n",
       "      <td>0.108108</td>\n",
       "      <td>0.033784</td>\n",
       "      <td>0.067568</td>\n",
       "      <td>0.027027</td>\n",
       "      <td>0.027027</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.033784</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.006757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-09</th>\n",
       "      <td>0.269231</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.115385</td>\n",
       "      <td>0.115385</td>\n",
       "      <td>0.038462</td>\n",
       "      <td>0.108974</td>\n",
       "      <td>0.038462</td>\n",
       "      <td>0.019231</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.012821</td>\n",
       "      <td>0.019231</td>\n",
       "      <td>0.012821</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-30</th>\n",
       "      <td>0.357664</td>\n",
       "      <td>0.255474</td>\n",
       "      <td>0.065693</td>\n",
       "      <td>0.131387</td>\n",
       "      <td>0.058394</td>\n",
       "      <td>0.021898</td>\n",
       "      <td>0.021898</td>\n",
       "      <td>0.007299</td>\n",
       "      <td>0.058394</td>\n",
       "      <td>0.007299</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.014599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-01</th>\n",
       "      <td>0.324841</td>\n",
       "      <td>0.305732</td>\n",
       "      <td>0.133758</td>\n",
       "      <td>0.095541</td>\n",
       "      <td>0.057325</td>\n",
       "      <td>0.012739</td>\n",
       "      <td>0.019108</td>\n",
       "      <td>0.019108</td>\n",
       "      <td>0.006369</td>\n",
       "      <td>0.025478</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-02</th>\n",
       "      <td>0.270968</td>\n",
       "      <td>0.219355</td>\n",
       "      <td>0.174194</td>\n",
       "      <td>0.083871</td>\n",
       "      <td>0.064516</td>\n",
       "      <td>0.032258</td>\n",
       "      <td>0.064516</td>\n",
       "      <td>0.025806</td>\n",
       "      <td>0.032258</td>\n",
       "      <td>0.012903</td>\n",
       "      <td>0.012903</td>\n",
       "      <td>0.006452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-03</th>\n",
       "      <td>0.234177</td>\n",
       "      <td>0.316456</td>\n",
       "      <td>0.101266</td>\n",
       "      <td>0.107595</td>\n",
       "      <td>0.082278</td>\n",
       "      <td>0.037975</td>\n",
       "      <td>0.037975</td>\n",
       "      <td>0.012658</td>\n",
       "      <td>0.031646</td>\n",
       "      <td>0.025316</td>\n",
       "      <td>0.012658</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-04</th>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.281818</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.054545</td>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.036364</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>366 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "miner        Foundry   AntPool    ViaBTC    F2Pool     Other  Binance Pool  \\\n",
       "2023-10-05  0.178571  0.303571  0.160714  0.160714  0.017857      0.125000   \n",
       "2023-10-06  0.237500  0.256250  0.112500  0.143750  0.018750      0.081250   \n",
       "2023-10-07  0.263158  0.280702  0.087719  0.122807  0.046784      0.046784   \n",
       "2023-10-08  0.310811  0.250000  0.121622  0.108108  0.033784      0.067568   \n",
       "2023-10-09  0.269231  0.250000  0.115385  0.115385  0.038462      0.108974   \n",
       "...              ...       ...       ...       ...       ...           ...   \n",
       "2024-09-30  0.357664  0.255474  0.065693  0.131387  0.058394      0.021898   \n",
       "2024-10-01  0.324841  0.305732  0.133758  0.095541  0.057325      0.012739   \n",
       "2024-10-02  0.270968  0.219355  0.174194  0.083871  0.064516      0.032258   \n",
       "2024-10-03  0.234177  0.316456  0.101266  0.107595  0.082278      0.037975   \n",
       "2024-10-04  0.300000  0.281818  0.181818  0.054545  0.027273      0.027273   \n",
       "\n",
       "miner       MARA Pool     Luxor  SpiderPool  Braiins Pool   BTC.com    Poolin  \n",
       "2023-10-05   0.017857  0.035714         NaN           NaN       NaN       NaN  \n",
       "2023-10-06   0.062500  0.043750         NaN      0.006250  0.012500  0.025000  \n",
       "2023-10-07   0.040936  0.035088         NaN      0.011696  0.046784  0.017544  \n",
       "2023-10-08   0.027027  0.027027         NaN      0.033784  0.013514  0.006757  \n",
       "2023-10-09   0.038462  0.019231         NaN      0.012821  0.019231  0.012821  \n",
       "...               ...       ...         ...           ...       ...       ...  \n",
       "2024-09-30   0.021898  0.007299    0.058394      0.007299       NaN  0.014599  \n",
       "2024-10-01   0.019108  0.019108    0.006369      0.025478       NaN       NaN  \n",
       "2024-10-02   0.064516  0.025806    0.032258      0.012903  0.012903  0.006452  \n",
       "2024-10-03   0.037975  0.012658    0.031646      0.025316  0.012658       NaN  \n",
       "2024-10-04   0.009091  0.036364    0.018182      0.045455  0.018182       NaN  \n",
       "\n",
       "[366 rows x 12 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "c75dee6f-db57-4d6e-bfb8-c9132f0ef4be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the data as an area chart\n",
    "ax = data.plot.area(figsize=(8, 6),fontsize=13.5,color=colors)\n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter('%b'))\n",
    "ax.set_title('\\nBitcoin Mining Pool \\nDominance (2023 - 2024)\\n',fontsize=22,fontdict={'font':'arial'})\n",
    "ax.axhline(0.5, linestyle='--', color='black')\n",
    "plt.xlim([miners_tagged.index[0],miners_tagged.index[-1]])\n",
    "plt.ylim(0,1)\n",
    "plt.yticks([0.2, 0.4, 0.6, 0.8, 1.0], ['20%','40%','60%','80%','100%'],fontdict={'font':'arial','size':15})\n",
    "plt.legend(bbox_to_anchor=(1,1),frameon=False)\n",
    "plt.annotate('Source: Coin Metrics ATLAS',weight='book',font='arial',xy=(1.001, 0.001), xycoords='axes fraction',color='black',xytext=(-8, 6), textcoords='offset pixels',horizontalalignment='right',verticalalignment='bottom')\n",
    "plt.savefig('./Pool-Dominance.png',facecolor='white',dpi=100)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "4f4878cd-1056-498f-978a-9f403550b462",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>Total Blocks</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-02-02</th>\n",
       "      <td>188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-25</th>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-03-07</th>\n",
       "      <td>180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-07-22</th>\n",
       "      <td>179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-12</th>\n",
       "      <td>179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-15</th>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-06-23</th>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-04</th>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-11</th>\n",
       "      <td>108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-05</th>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>366 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Total Blocks\n",
       "2024-02-02           188\n",
       "2024-01-25           181\n",
       "2024-03-07           180\n",
       "2024-07-22           179\n",
       "2024-02-12           179\n",
       "...                  ...\n",
       "2024-01-15           114\n",
       "2024-06-23           112\n",
       "2024-10-04           110\n",
       "2024-09-11           108\n",
       "2023-10-05            56\n",
       "\n",
       "[366 rows x 1 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_blocks = pd.DataFrame(miners_tagged.index.value_counts())\n",
    "total_blocks.rename(columns={total_blocks.columns[0]: 'Total Blocks'}, inplace=True)\n",
    "total_blocks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ff5c16c1-2da4-4397-aa21-77ba495084bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "empty_blocks = miners_tagged.groupby([miners_tagged.index.date,miners_tagged.miner])['category'].value_counts()\n",
    "empty_blocks = empty_blocks.unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "29836e76-ecb2-4ccd-839c-972b8d639553",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>category</th>\n",
       "      <th>miner</th>\n",
       "      <th>Empty</th>\n",
       "      <th>Not Empty</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>level_0</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2023-10-05</th>\n",
       "      <td>AntPool</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-05</th>\n",
       "      <td>Binance Pool</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-05</th>\n",
       "      <td>F2Pool</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-05</th>\n",
       "      <td>Foundry</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-05</th>\n",
       "      <td>Luxor</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-04</th>\n",
       "      <td>Luxor</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-04</th>\n",
       "      <td>MARA Pool</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-04</th>\n",
       "      <td>Other</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-04</th>\n",
       "      <td>SpiderPool</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-04</th>\n",
       "      <td>ViaBTC</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4004 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "category           miner  Empty  Not Empty\n",
       "level_0                                   \n",
       "2023-10-05       AntPool    0.0       17.0\n",
       "2023-10-05  Binance Pool    0.0        7.0\n",
       "2023-10-05        F2Pool    1.0        8.0\n",
       "2023-10-05       Foundry    0.0       10.0\n",
       "2023-10-05         Luxor    0.0        2.0\n",
       "...                  ...    ...        ...\n",
       "2024-10-04         Luxor    0.0        4.0\n",
       "2024-10-04     MARA Pool    0.0        1.0\n",
       "2024-10-04         Other    0.0        3.0\n",
       "2024-10-04    SpiderPool    0.0        2.0\n",
       "2024-10-04        ViaBTC    0.0       20.0\n",
       "\n",
       "[4004 rows x 3 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "empty_blocks = pd.DataFrame(empty_blocks.reset_index()).fillna(0).set_index('level_0')\n",
    "empty_blocks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "fe61cc7e-0448-4c82-9388-e0150e1ee3e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AntPool</th>\n",
       "      <th>BTC.com</th>\n",
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       "      <th>Braiins Pool</th>\n",
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       "      <th>2023-10-05</th>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2023-10-06</th>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>160</td>\n",
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       "    <tr>\n",
       "      <th>2023-10-07</th>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>171</td>\n",
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       "    <tr>\n",
       "      <th>2023-10-08</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>148</td>\n",
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       "    <tr>\n",
       "      <th>2023-10-09</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>156</td>\n",
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       "    <tr>\n",
       "      <th>2024-09-30</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>137</td>\n",
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       "    <tr>\n",
       "      <th>2024-10-01</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2024-10-02</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>155</td>\n",
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       "    <tr>\n",
       "      <th>2024-10-03</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>158</td>\n",
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       "    <tr>\n",
       "      <th>2024-10-04</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>366 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            AntPool  BTC.com  Binance Pool  Braiins Pool  F2Pool  Foundry  \\\n",
       "level_0                                                                     \n",
       "2023-10-05      0.0      0.0           0.0           0.0     1.0      0.0   \n",
       "2023-10-06      0.0      0.0           0.0           0.0     0.0      0.0   \n",
       "2023-10-07      0.0      0.0           0.0           0.0     0.0      0.0   \n",
       "2023-10-08      0.0      0.0           0.0           0.0     0.0      0.0   \n",
       "2023-10-09      1.0      0.0           0.0           0.0     0.0      0.0   \n",
       "...             ...      ...           ...           ...     ...      ...   \n",
       "2024-09-30      0.0      0.0           0.0           0.0     0.0      0.0   \n",
       "2024-10-01      1.0      0.0           0.0           0.0     0.0      0.0   \n",
       "2024-10-02      1.0      0.0           0.0           0.0     0.0      0.0   \n",
       "2024-10-03      0.0      0.0           0.0           0.0     0.0      0.0   \n",
       "2024-10-04      0.0      0.0           0.0           0.0     0.0      0.0   \n",
       "\n",
       "            Luxor  MARA Pool  Other  Poolin  SpiderPool  ViaBTC  Total Blocks  \n",
       "level_0                                                                        \n",
       "2023-10-05    0.0        0.0    0.0     0.0         0.0     0.0            56  \n",
       "2023-10-06    0.0        0.0    0.0     0.0         0.0     0.0           160  \n",
       "2023-10-07    0.0        0.0    0.0     0.0         0.0     0.0           171  \n",
       "2023-10-08    0.0        0.0    0.0     0.0         0.0     0.0           148  \n",
       "2023-10-09    0.0        0.0    0.0     0.0         0.0     0.0           156  \n",
       "...           ...        ...    ...     ...         ...     ...           ...  \n",
       "2024-09-30    0.0        0.0    0.0     0.0         0.0     0.0           137  \n",
       "2024-10-01    0.0        0.0    0.0     0.0         0.0     0.0           157  \n",
       "2024-10-02    1.0        0.0    0.0     0.0         1.0     0.0           155  \n",
       "2024-10-03    0.0        0.0    0.0     0.0         0.0     0.0           158  \n",
       "2024-10-04    0.0        0.0    0.0     0.0         0.0     0.0           110  \n",
       "\n",
       "[366 rows x 13 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pivot = empty_blocks.pivot_table(index=empty_blocks.index, columns=\"miner\", values=\"Empty\")\n",
    "df_pivot = df_pivot.join(total_blocks[['Total Blocks']])\n",
    "df_pivot = df_pivot.fillna(0)\n",
    "df_pivot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "2228e34f-4c24-418a-aed0-d78852de7d18",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_empty = df_pivot.iloc[:,0:].div(df_pivot['Total Blocks'], axis=0)\n",
    "df_empty = df_empty.drop(df_empty.columns[-1:], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "36309dd0-6ecd-44ff-a233-589f60ea75f5",
   "metadata": {},
   "outputs": [
    {
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       "      <th>2023-10-09</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <th>2024-10-01</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-04</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>366 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Foundry   AntPool  ViaBTC    F2Pool  Other  Binance Pool  \\\n",
       "level_0                                                                \n",
       "2023-10-05      0.0  0.000000     0.0  0.017857    0.0           0.0   \n",
       "2023-10-06      0.0  0.000000     0.0  0.000000    0.0           0.0   \n",
       "2023-10-07      0.0  0.000000     0.0  0.000000    0.0           0.0   \n",
       "2023-10-08      0.0  0.000000     0.0  0.000000    0.0           0.0   \n",
       "2023-10-09      0.0  0.006410     0.0  0.000000    0.0           0.0   \n",
       "...             ...       ...     ...       ...    ...           ...   \n",
       "2024-09-30      0.0  0.000000     0.0  0.000000    0.0           0.0   \n",
       "2024-10-01      0.0  0.006369     0.0  0.000000    0.0           0.0   \n",
       "2024-10-02      0.0  0.006452     0.0  0.000000    0.0           0.0   \n",
       "2024-10-03      0.0  0.000000     0.0  0.000000    0.0           0.0   \n",
       "2024-10-04      0.0  0.000000     0.0  0.000000    0.0           0.0   \n",
       "\n",
       "            MARA Pool     Luxor  SpiderPool  Braiins Pool  BTC.com  Poolin  \n",
       "level_0                                                                     \n",
       "2023-10-05        0.0  0.000000    0.000000           0.0      0.0     0.0  \n",
       "2023-10-06        0.0  0.000000    0.000000           0.0      0.0     0.0  \n",
       "2023-10-07        0.0  0.000000    0.000000           0.0      0.0     0.0  \n",
       "2023-10-08        0.0  0.000000    0.000000           0.0      0.0     0.0  \n",
       "2023-10-09        0.0  0.000000    0.000000           0.0      0.0     0.0  \n",
       "...               ...       ...         ...           ...      ...     ...  \n",
       "2024-09-30        0.0  0.000000    0.000000           0.0      0.0     0.0  \n",
       "2024-10-01        0.0  0.000000    0.000000           0.0      0.0     0.0  \n",
       "2024-10-02        0.0  0.006452    0.006452           0.0      0.0     0.0  \n",
       "2024-10-03        0.0  0.000000    0.000000           0.0      0.0     0.0  \n",
       "2024-10-04        0.0  0.000000    0.000000           0.0      0.0     0.0  \n",
       "\n",
       "[366 rows x 12 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_empty = df_empty[averages]\n",
    "df_empty"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "c7b5e8e8-ea6a-4aa7-ae3d-00aee4e9d824",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8, 6))\n",
    "cumval = 0\n",
    "i = 0\n",
    "for col in df_empty.columns:\n",
    "    plt.bar(df_empty.index, df_empty[col], bottom=cumval, label=col, color=colors[i])\n",
    "    cumval = cumval+df_empty[col]\n",
    "    i += 1\n",
    "ax.xaxis.set_major_locator(mdates.MonthLocator())\n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter('%b'))\n",
    "plt.title('\\nEmpty Blocks\\nTotal Percentage (2023 - 2024)\\n', fontdict = {'size':18, 'font': 'arial'})\n",
    "plt.xticks(rotation=0)\n",
    "plt.xlabel('')\n",
    "plt.legend(bbox_to_anchor=(1,1),frameon=False)\n",
    "plt.yticks([0.005, 0.010, 0.015, 0.02, 0.025], ['0.5%','1.0%','1.5%','2.0%','2.5%'],fontdict={'size':14})\n",
    "plt.grid(True, axis='y',linestyle='--',alpha=0.5)\n",
    "plt.annotate('Source: Coin Metrics ATLAS',weight='book',font='arial',xy=(1.00, 0.953), xycoords='axes fraction',color='black',xytext=(-8, 6), textcoords='offset pixels',horizontalalignment='right',verticalalignment='bottom')\n",
    "plt.savefig('./Empty-Blocks-Total-2023-2024.png',facecolor='white',dpi=100)\n",
    "plt.xlabel('');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "baed26bc-0311-4950-b5de-0ece3b0f30af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>category</th>\n",
       "      <th>Empty</th>\n",
       "      <th>Not Empty</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>miner</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Foundry</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AntPool</th>\n",
       "      <td>0.005885</td>\n",
       "      <td>0.994115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ViaBTC</th>\n",
       "      <td>0.002395</td>\n",
       "      <td>0.997605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F2Pool</th>\n",
       "      <td>0.003208</td>\n",
       "      <td>0.996792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Other</th>\n",
       "      <td>0.003595</td>\n",
       "      <td>0.996405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Binance Pool</th>\n",
       "      <td>0.002993</td>\n",
       "      <td>0.997007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MARA Pool</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Luxor</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.995000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SpiderPool</th>\n",
       "      <td>0.035996</td>\n",
       "      <td>0.964004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Braiins Pool</th>\n",
       "      <td>0.002331</td>\n",
       "      <td>0.997669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BTC.com</th>\n",
       "      <td>0.004071</td>\n",
       "      <td>0.995929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Poolin</th>\n",
       "      <td>0.004640</td>\n",
       "      <td>0.995360</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "category         Empty  Not Empty\n",
       "miner                            \n",
       "Foundry       0.000000   1.000000\n",
       "AntPool       0.005885   0.994115\n",
       "ViaBTC        0.002395   0.997605\n",
       "F2Pool        0.003208   0.996792\n",
       "Other         0.003595   0.996405\n",
       "Binance Pool  0.002993   0.997007\n",
       "MARA Pool     0.000000   1.000000\n",
       "Luxor         0.005000   0.995000\n",
       "SpiderPool    0.035996   0.964004\n",
       "Braiins Pool  0.002331   0.997669\n",
       "BTC.com       0.004071   0.995929\n",
       "Poolin        0.004640   0.995360"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "empty_blocks_total = pd.DataFrame(miners_tagged.groupby([miners_tagged.miner])['category'].value_counts(normalize=True))\n",
    "empty_blocks_total = empty_blocks_total.unstack().fillna(0)\n",
    "empty_blocks_total.columns = empty_blocks_total.columns.droplevel(0)\n",
    "empty_blocks_total = empty_blocks_total.reindex(averages)\n",
    "empty_blocks_total"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "c7cf0766-19ba-4bd7-a6e4-522a1dc439eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>Total Blocks Mined</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>miner</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Foundry</th>\n",
       "      <td>15492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AntPool</th>\n",
       "      <td>13595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ViaBTC</th>\n",
       "      <td>6680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F2Pool</th>\n",
       "      <td>5923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Binance Pool</th>\n",
       "      <td>2339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MARA Pool</th>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Luxor</th>\n",
       "      <td>1400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SpiderPool</th>\n",
       "      <td>889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Braiins Pool</th>\n",
       "      <td>858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BTC.com</th>\n",
       "      <td>737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Poolin</th>\n",
       "      <td>431</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Total Blocks Mined\n",
       "miner                           \n",
       "Foundry                    15492\n",
       "AntPool                    13595\n",
       "ViaBTC                      6680\n",
       "F2Pool                      5923\n",
       "Binance Pool                2339\n",
       "MARA Pool                   1986\n",
       "Luxor                       1400\n",
       "SpiderPool                   889\n",
       "Braiins Pool                 858\n",
       "BTC.com                      737\n",
       "Poolin                       431"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pool_total_blocks = pd.DataFrame(miners_tagged['miner'].value_counts())\n",
    "pool_total_blocks = pool_total_blocks.drop('Other')\n",
    "pool_total_blocks.rename(columns={pool_total_blocks.columns[0]: 'Total Blocks Mined'}, inplace=True)\n",
    "pool_total_blocks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "6acb6512-b504-4e1b-bd54-37024da664d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "row_num = empty_blocks_total.index.get_loc('Other')\n",
    "colors_no_other = np.delete(colors, row_num)\n",
    "empty_blocks_total = empty_blocks_total.drop('Other')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "29fa83af-0aef-465c-9695-5090c1066b54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>miner</th>\n",
       "      <th>Total Blocks Mined</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Foundry</td>\n",
       "      <td>15492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AntPool</td>\n",
       "      <td>13595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ViaBTC</td>\n",
       "      <td>6680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>F2Pool</td>\n",
       "      <td>5923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Binance Pool</td>\n",
       "      <td>2339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>MARA Pool</td>\n",
       "      <td>1986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Luxor</td>\n",
       "      <td>1400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>SpiderPool</td>\n",
       "      <td>889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Braiins Pool</td>\n",
       "      <td>858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>BTC.com</td>\n",
       "      <td>737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Poolin</td>\n",
       "      <td>431</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           miner  Total Blocks Mined\n",
       "0        Foundry               15492\n",
       "1        AntPool               13595\n",
       "2         ViaBTC                6680\n",
       "3         F2Pool                5923\n",
       "4   Binance Pool                2339\n",
       "5      MARA Pool                1986\n",
       "6          Luxor                1400\n",
       "7     SpiderPool                 889\n",
       "8   Braiins Pool                 858\n",
       "9        BTC.com                 737\n",
       "10        Poolin                 431"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pool_total_blocks.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "6a4146ea-93cb-483c-8af3-4e9c99fbf8af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = empty_blocks_total['Empty'].plot.bar(figsize=(8, 6),stacked=True,fontsize=12,color=colors_no_other,width=0.8,zorder=2)\n",
    "def format_percent(x, pos):\n",
    "    return '{:.2%}'.format(x)\n",
    "formatter = FuncFormatter(format_percent)\n",
    "ax.yaxis.set_major_formatter(formatter)\n",
    "plt.xticks(rotation=45,size=12)\n",
    "plt.yticks(rotation=0,size=12)\n",
    "plt.title('\\nEmpty Blocks vs. Total Blocks\\nby Mining Pool (Oct 2023 - Oct 2024)\\n', fontdict = {'size':18, 'font': 'arial'})\n",
    "plt.xlabel('');\n",
    "plt.ylabel('Empty Blocks (%)',fontsize=14,labelpad=10);\n",
    "plt.tick_params(axis='both', which='both', length=0, pad=8)\n",
    "plt.ylim(0,0.04)\n",
    "ax.grid(True, axis='y',linestyle='--',zorder=1,alpha=0.5)\n",
    "ax2 = ax.twinx()\n",
    "pool_total_blocks.plot.line(ax=ax2,color='black',linestyle='--',legend=True)\n",
    "pool_total_blocks.reset_index().plot.scatter(x='miner',y='Total Blocks Mined',ax=ax2,color='black', s=50)\n",
    "ax2.set_yticks([0,2000,4000,6000,8000,10000,12000,14000,16000])\n",
    "plt.ylim(0,16000)\n",
    "ax2.yaxis.set_major_formatter(mtick.StrMethodFormatter('{x:,.0f}'))\n",
    "plt.legend(bbox_to_anchor=(1,1.0),frameon=False,fontsize=11.3)\n",
    "plt.tick_params(axis='both', which='both', length=0, pad=8)\n",
    "plt.yticks(rotation=0,size=12)\n",
    "plt.ylabel('Total Blocks Mined\\n',fontsize=14,labelpad=10);\n",
    "plt.annotate(\n",
    "    'Source: Coin Metrics ATLAS',\n",
    "    weight='book',\n",
    "    font='arial',\n",
    "    fontsize=12,\n",
    "    xy=(1.0, 1.0),\n",
    "    xycoords='axes fraction',\n",
    "    color='black',\n",
    "    xytext=(-8, 6),\n",
    "    textcoords='offset pixels',\n",
    "    horizontalalignment='right',\n",
    "    verticalalignment='bottom'\n",
    ")\n",
    "plt.savefig('./Empty-Blocks-by-Pool.png',facecolor='white',dpi=100)"
   ]
  }
 ],
 "metadata": {
  "jupytext": {
   "encoding": "# -*- coding: utf-8 -*-"
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}