CryptoAPIProject.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1ae99ac1",
   "metadata": {},
   "source": [
    "# Crypto API Project"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7d7a4f32",
   "metadata": {},
   "outputs": [],
   "source": [
    "from requests import Request, Session\n",
    "from requests.exceptions import ConnectionError, Timeout, TooManyRedirects\n",
    "import json\n",
    "\n",
    "url = 'https://pro-api.coinmarketcap.com/v1/cryptocurrency/listings/latest'\n",
    "parameters = {\n",
    "    'start': '1',\n",
    "    'limit': '5000',\n",
    "    'convert': 'USD'\n",
    "}\n",
    "headers = {\n",
    "    'Accepts': 'application/json',\n",
    "    'X-CMC_PRO_API_KEY': 'de235869-74d6-4684-8c29-d2c914d0b9e6',\n",
    "}\n",
    "\n",
    "session = Session()\n",
    "session.headers.update(headers)\n",
    "\n",
    "try:\n",
    "    response = session.get(url, params=parameters)\n",
    "    data = json.loads(response.text)\n",
    "    print(data)\n",
    "except (ConnectionError, Timeout, TooManyRedirects) as e:\n",
    "    print(e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0107a840",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6d877ccb",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nikhilkuniyil/Documents/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/datetimes.py:2199: FutureWarning: The parsing of 'now' in pd.to_datetime without `utc=True` is deprecated. In a future version, this will match Timestamp('now') and Timestamp.now()\n",
      "  result, tz_parsed = tslib.array_to_datetime(\n"
     ]
    },
    {
     "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",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>name</th>\n",
       "      <th>symbol</th>\n",
       "      <th>slug</th>\n",
       "      <th>num_market_pairs</th>\n",
       "      <th>date_added</th>\n",
       "      <th>tags</th>\n",
       "      <th>max_supply</th>\n",
       "      <th>circulating_supply</th>\n",
       "      <th>total_supply</th>\n",
       "      <th>platform</th>\n",
       "      <th>cmc_rank</th>\n",
       "      <th>self_reported_circulating_supply</th>\n",
       "      <th>self_reported_market_cap</th>\n",
       "      <th>tvl_ratio</th>\n",
       "      <th>last_updated</th>\n",
       "      <th>quote.USD.price</th>\n",
       "      <th>quote.USD.volume_24h</th>\n",
       "      <th>quote.USD.volume_change_24h</th>\n",
       "      <th>quote.USD.percent_change_1h</th>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "      <th>quote.USD.market_cap</th>\n",
       "      <th>quote.USD.market_cap_dominance</th>\n",
       "      <th>quote.USD.fully_diluted_market_cap</th>\n",
       "      <th>quote.USD.tvl</th>\n",
       "      <th>quote.USD.last_updated</th>\n",
       "      <th>platform.id</th>\n",
       "      <th>platform.name</th>\n",
       "      <th>platform.symbol</th>\n",
       "      <th>platform.slug</th>\n",
       "      <th>platform.token_address</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>BTC</td>\n",
       "      <td>bitcoin</td>\n",
       "      <td>9684</td>\n",
       "      <td>2013-04-28T00:00:00.000Z</td>\n",
       "      <td>[mineable, pow, sha-256, store-of-value, state...</td>\n",
       "      <td>2.100000e+07</td>\n",
       "      <td>1.912908e+07</td>\n",
       "      <td>1.912908e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>2.141313e+04</td>\n",
       "      <td>3.163767e+10</td>\n",
       "      <td>36.3125</td>\n",
       "      <td>0.933757</td>\n",
       "      <td>-0.275282</td>\n",
       "      <td>-10.863074</td>\n",
       "      <td>-5.108862</td>\n",
       "      <td>1.778327</td>\n",
       "      <td>-27.661235</td>\n",
       "      <td>4.096134e+11</td>\n",
       "      <td>39.9868</td>\n",
       "      <td>4.496758e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23 00:40:40.924744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1027</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>6021</td>\n",
       "      <td>2015-08-07T00:00:00.000Z</td>\n",
       "      <td>[mineable, pow, smart-contracts, ethereum-ecos...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.220724e+08</td>\n",
       "      <td>1.220724e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>1.621140e+03</td>\n",
       "      <td>1.842559e+10</td>\n",
       "      <td>15.5074</td>\n",
       "      <td>1.825812</td>\n",
       "      <td>0.528820</td>\n",
       "      <td>-14.056277</td>\n",
       "      <td>3.776356</td>\n",
       "      <td>41.373007</td>\n",
       "      <td>-17.979515</td>\n",
       "      <td>1.978965e+11</td>\n",
       "      <td>19.3216</td>\n",
       "      <td>1.978965e+11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23 00:40:40.924744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>825</td>\n",
       "      <td>Tether</td>\n",
       "      <td>USDT</td>\n",
       "      <td>tether</td>\n",
       "      <td>38617</td>\n",
       "      <td>2015-02-25T00:00:00.000Z</td>\n",
       "      <td>[payments, stablecoin, asset-backed-stablecoin...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.754956e+10</td>\n",
       "      <td>6.915778e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>9.999519e-01</td>\n",
       "      <td>5.170428e+10</td>\n",
       "      <td>13.1408</td>\n",
       "      <td>-0.000784</td>\n",
       "      <td>-0.005547</td>\n",
       "      <td>-0.024708</td>\n",
       "      <td>-0.005777</td>\n",
       "      <td>0.067755</td>\n",
       "      <td>0.093081</td>\n",
       "      <td>6.754631e+10</td>\n",
       "      <td>6.5963</td>\n",
       "      <td>6.915445e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>1027.0</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>0xdac17f958d2ee523a2206206994597c13d831ec7</td>\n",
       "      <td>2022-08-23 00:40:40.924744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3408</td>\n",
       "      <td>USD Coin</td>\n",
       "      <td>USDC</td>\n",
       "      <td>usd-coin</td>\n",
       "      <td>5906</td>\n",
       "      <td>2018-10-08T00:00:00.000Z</td>\n",
       "      <td>[medium-of-exchange, stablecoin, asset-backed-...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.226474e+10</td>\n",
       "      <td>5.226474e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>1.000183e+00</td>\n",
       "      <td>5.446318e+09</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.013588</td>\n",
       "      <td>0.012048</td>\n",
       "      <td>0.032196</td>\n",
       "      <td>0.034620</td>\n",
       "      <td>0.002978</td>\n",
       "      <td>-0.014471</td>\n",
       "      <td>5.227431e+10</td>\n",
       "      <td>5.1031</td>\n",
       "      <td>5.227431e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>1027.0</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48</td>\n",
       "      <td>2022-08-23 00:40:40.924744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1839</td>\n",
       "      <td>BNB</td>\n",
       "      <td>BNB</td>\n",
       "      <td>bnb</td>\n",
       "      <td>1074</td>\n",
       "      <td>2017-07-25T00:00:00.000Z</td>\n",
       "      <td>[marketplace, centralized-exchange, payments, ...</td>\n",
       "      <td>2.000000e+08</td>\n",
       "      <td>1.613373e+08</td>\n",
       "      <td>1.613373e+08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>3.004572e+02</td>\n",
       "      <td>1.442101e+09</td>\n",
       "      <td>13.3325</td>\n",
       "      <td>0.252380</td>\n",
       "      <td>-0.829996</td>\n",
       "      <td>-5.607883</td>\n",
       "      <td>15.504817</td>\n",
       "      <td>30.999927</td>\n",
       "      <td>-8.633053</td>\n",
       "      <td>4.847495e+10</td>\n",
       "      <td>4.7336</td>\n",
       "      <td>6.009144e+10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23 00:40:40.924744</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",
       "      <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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4995</th>\n",
       "      <td>16528</td>\n",
       "      <td>Sivasspor Token</td>\n",
       "      <td>SIV</td>\n",
       "      <td>sivasspor-token</td>\n",
       "      <td>1</td>\n",
       "      <td>2021-12-28T03:13:45.000Z</td>\n",
       "      <td>[]</td>\n",
       "      <td>1.000000e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>5.995290e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4996</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>5.801189e-01</td>\n",
       "      <td>1.078884e+04</td>\n",
       "      <td>-2.3638</td>\n",
       "      <td>0.962464</td>\n",
       "      <td>-3.443725</td>\n",
       "      <td>-39.418099</td>\n",
       "      <td>-85.233602</td>\n",
       "      <td>-85.675000</td>\n",
       "      <td>-78.361632</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>5.801189e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>1027.0</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>0x6cf9464B2C628Db187f2Bc1DDc0C43fDA72EfDd5</td>\n",
       "      <td>2022-08-23 00:40:40.924744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4996</th>\n",
       "      <td>5698</td>\n",
       "      <td>GM Holding</td>\n",
       "      <td>GM</td>\n",
       "      <td>gm-holding</td>\n",
       "      <td>3</td>\n",
       "      <td>2020-06-19T00:00:00.000Z</td>\n",
       "      <td>[bnb-chain]</td>\n",
       "      <td>1.000000e+08</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>9.999900e+07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4997</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>2.999856e-04</td>\n",
       "      <td>1.073712e+04</td>\n",
       "      <td>269532.4655</td>\n",
       "      <td>-0.000784</td>\n",
       "      <td>-0.005547</td>\n",
       "      <td>-25.018531</td>\n",
       "      <td>225.239606</td>\n",
       "      <td>138.331282</td>\n",
       "      <td>-48.996140</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>2.999856e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>1839.0</td>\n",
       "      <td>BNB</td>\n",
       "      <td>BNB</td>\n",
       "      <td>bnb</td>\n",
       "      <td>0xd523f5097fe10cb8760f7011796a6edf7a268061</td>\n",
       "      <td>2022-08-23 00:40:40.924744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4997</th>\n",
       "      <td>21050</td>\n",
       "      <td>Neuron Chain</td>\n",
       "      <td>NEURON</td>\n",
       "      <td>neuron-chain</td>\n",
       "      <td>1</td>\n",
       "      <td>2022-07-19T17:00:38.000Z</td>\n",
       "      <td>[]</td>\n",
       "      <td>1.000000e+12</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.000000e+12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4998</td>\n",
       "      <td>6.400000e+11</td>\n",
       "      <td>42055.964715</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>6.571244e-08</td>\n",
       "      <td>1.069554e+04</td>\n",
       "      <td>44.3056</td>\n",
       "      <td>44.294196</td>\n",
       "      <td>-22.391053</td>\n",
       "      <td>87.052095</td>\n",
       "      <td>1847.095715</td>\n",
       "      <td>1847.095715</td>\n",
       "      <td>1847.095715</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>6.571244e+04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>1839.0</td>\n",
       "      <td>BNB</td>\n",
       "      <td>BNB</td>\n",
       "      <td>bnb</td>\n",
       "      <td>0x06ae7A979D9818B64498c8acaFDd0ccc78bC6fd2</td>\n",
       "      <td>2022-08-23 00:40:40.924744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4998</th>\n",
       "      <td>18978</td>\n",
       "      <td>Itheum</td>\n",
       "      <td>ITHEUM</td>\n",
       "      <td>itheum</td>\n",
       "      <td>2</td>\n",
       "      <td>2022-04-30T16:14:46.000Z</td>\n",
       "      <td>[collectibles-nfts, dao, metaverse, elrond-eco...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>1.133800e-01</td>\n",
       "      <td>1.067576e+04</td>\n",
       "      <td>21.9573</td>\n",
       "      <td>1.046922</td>\n",
       "      <td>-1.084231</td>\n",
       "      <td>-12.271271</td>\n",
       "      <td>-10.204278</td>\n",
       "      <td>-26.342375</td>\n",
       "      <td>-63.201872</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>6892.0</td>\n",
       "      <td>Elrond</td>\n",
       "      <td>EGLD</td>\n",
       "      <td>elrond-egld</td>\n",
       "      <td>ITHEUM-df6f26</td>\n",
       "      <td>2022-08-23 00:40:40.924744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4999</th>\n",
       "      <td>18300</td>\n",
       "      <td>Alpha Shares</td>\n",
       "      <td>$ALPHA</td>\n",
       "      <td>alpha-nodes</td>\n",
       "      <td>1</td>\n",
       "      <td>2022-02-23T07:08:16.000Z</td>\n",
       "      <td>[avalanche-ecosystem]</td>\n",
       "      <td>1.000000e+15</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.000000e+15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>2.134075e-09</td>\n",
       "      <td>1.067375e+04</td>\n",
       "      <td>-57.0614</td>\n",
       "      <td>1.194705</td>\n",
       "      <td>4.442726</td>\n",
       "      <td>-21.684632</td>\n",
       "      <td>56.809066</td>\n",
       "      <td>18.722808</td>\n",
       "      <td>100.959714</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>2.134075e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>5805.0</td>\n",
       "      <td>Avalanche</td>\n",
       "      <td>AVAX</td>\n",
       "      <td>avalanche</td>\n",
       "      <td>0x325a98F258a5732c7b06555603F6aF5BC1C17F0a</td>\n",
       "      <td>2022-08-23 00:40:40.924744</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5000 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         id             name  symbol             slug  num_market_pairs  \\\n",
       "0         1          Bitcoin     BTC          bitcoin              9684   \n",
       "1      1027         Ethereum     ETH         ethereum              6021   \n",
       "2       825           Tether    USDT           tether             38617   \n",
       "3      3408         USD Coin    USDC         usd-coin              5906   \n",
       "4      1839              BNB     BNB              bnb              1074   \n",
       "...     ...              ...     ...              ...               ...   \n",
       "4995  16528  Sivasspor Token     SIV  sivasspor-token                 1   \n",
       "4996   5698       GM Holding      GM       gm-holding                 3   \n",
       "4997  21050     Neuron Chain  NEURON     neuron-chain                 1   \n",
       "4998  18978           Itheum  ITHEUM           itheum                 2   \n",
       "4999  18300     Alpha Shares  $ALPHA      alpha-nodes                 1   \n",
       "\n",
       "                    date_added  \\\n",
       "0     2013-04-28T00:00:00.000Z   \n",
       "1     2015-08-07T00:00:00.000Z   \n",
       "2     2015-02-25T00:00:00.000Z   \n",
       "3     2018-10-08T00:00:00.000Z   \n",
       "4     2017-07-25T00:00:00.000Z   \n",
       "...                        ...   \n",
       "4995  2021-12-28T03:13:45.000Z   \n",
       "4996  2020-06-19T00:00:00.000Z   \n",
       "4997  2022-07-19T17:00:38.000Z   \n",
       "4998  2022-04-30T16:14:46.000Z   \n",
       "4999  2022-02-23T07:08:16.000Z   \n",
       "\n",
       "                                                   tags    max_supply  \\\n",
       "0     [mineable, pow, sha-256, store-of-value, state...  2.100000e+07   \n",
       "1     [mineable, pow, smart-contracts, ethereum-ecos...           NaN   \n",
       "2     [payments, stablecoin, asset-backed-stablecoin...           NaN   \n",
       "3     [medium-of-exchange, stablecoin, asset-backed-...           NaN   \n",
       "4     [marketplace, centralized-exchange, payments, ...  2.000000e+08   \n",
       "...                                                 ...           ...   \n",
       "4995                                                 []  1.000000e+06   \n",
       "4996                                        [bnb-chain]  1.000000e+08   \n",
       "4997                                                 []  1.000000e+12   \n",
       "4998  [collectibles-nfts, dao, metaverse, elrond-eco...           NaN   \n",
       "4999                              [avalanche-ecosystem]  1.000000e+15   \n",
       "\n",
       "      circulating_supply  total_supply  platform  cmc_rank  \\\n",
       "0           1.912908e+07  1.912908e+07       NaN         1   \n",
       "1           1.220724e+08  1.220724e+08       NaN         2   \n",
       "2           6.754956e+10  6.915778e+10       NaN         3   \n",
       "3           5.226474e+10  5.226474e+10       NaN         4   \n",
       "4           1.613373e+08  1.613373e+08       NaN         5   \n",
       "...                  ...           ...       ...       ...   \n",
       "4995        0.000000e+00  5.995290e+05       NaN      4996   \n",
       "4996        0.000000e+00  9.999900e+07       NaN      4997   \n",
       "4997        0.000000e+00  1.000000e+12       NaN      4998   \n",
       "4998        0.000000e+00  0.000000e+00       NaN      4999   \n",
       "4999        0.000000e+00  1.000000e+15       NaN      5000   \n",
       "\n",
       "      self_reported_circulating_supply  self_reported_market_cap  tvl_ratio  \\\n",
       "0                                  NaN                       NaN        NaN   \n",
       "1                                  NaN                       NaN        NaN   \n",
       "2                                  NaN                       NaN        NaN   \n",
       "3                                  NaN                       NaN        NaN   \n",
       "4                                  NaN                       NaN        NaN   \n",
       "...                                ...                       ...        ...   \n",
       "4995                               NaN                       NaN        NaN   \n",
       "4996                               NaN                       NaN        NaN   \n",
       "4997                      6.400000e+11              42055.964715        NaN   \n",
       "4998                               NaN                       NaN        NaN   \n",
       "4999                               NaN                       NaN        NaN   \n",
       "\n",
       "                  last_updated  quote.USD.price  quote.USD.volume_24h  \\\n",
       "0     2022-08-23T00:28:00.000Z     2.141313e+04          3.163767e+10   \n",
       "1     2022-08-23T00:28:00.000Z     1.621140e+03          1.842559e+10   \n",
       "2     2022-08-23T00:28:00.000Z     9.999519e-01          5.170428e+10   \n",
       "3     2022-08-23T00:28:00.000Z     1.000183e+00          5.446318e+09   \n",
       "4     2022-08-23T00:28:00.000Z     3.004572e+02          1.442101e+09   \n",
       "...                        ...              ...                   ...   \n",
       "4995  2022-08-23T00:28:00.000Z     5.801189e-01          1.078884e+04   \n",
       "4996  2022-08-23T00:28:00.000Z     2.999856e-04          1.073712e+04   \n",
       "4997  2022-08-23T00:28:00.000Z     6.571244e-08          1.069554e+04   \n",
       "4998  2022-08-23T00:28:00.000Z     1.133800e-01          1.067576e+04   \n",
       "4999  2022-08-23T00:28:00.000Z     2.134075e-09          1.067375e+04   \n",
       "\n",
       "      quote.USD.volume_change_24h  quote.USD.percent_change_1h  \\\n",
       "0                         36.3125                     0.933757   \n",
       "1                         15.5074                     1.825812   \n",
       "2                         13.1408                    -0.000784   \n",
       "3                          0.0000                     0.013588   \n",
       "4                         13.3325                     0.252380   \n",
       "...                           ...                          ...   \n",
       "4995                      -2.3638                     0.962464   \n",
       "4996                  269532.4655                    -0.000784   \n",
       "4997                      44.3056                    44.294196   \n",
       "4998                      21.9573                     1.046922   \n",
       "4999                     -57.0614                     1.194705   \n",
       "\n",
       "      quote.USD.percent_change_24h  quote.USD.percent_change_7d  \\\n",
       "0                        -0.275282                   -10.863074   \n",
       "1                         0.528820                   -14.056277   \n",
       "2                        -0.005547                    -0.024708   \n",
       "3                         0.012048                     0.032196   \n",
       "4                        -0.829996                    -5.607883   \n",
       "...                            ...                          ...   \n",
       "4995                     -3.443725                   -39.418099   \n",
       "4996                     -0.005547                   -25.018531   \n",
       "4997                    -22.391053                    87.052095   \n",
       "4998                     -1.084231                   -12.271271   \n",
       "4999                      4.442726                   -21.684632   \n",
       "\n",
       "      quote.USD.percent_change_30d  quote.USD.percent_change_60d  \\\n",
       "0                        -5.108862                      1.778327   \n",
       "1                         3.776356                     41.373007   \n",
       "2                        -0.005777                      0.067755   \n",
       "3                         0.034620                      0.002978   \n",
       "4                        15.504817                     30.999927   \n",
       "...                            ...                           ...   \n",
       "4995                    -85.233602                    -85.675000   \n",
       "4996                    225.239606                    138.331282   \n",
       "4997                   1847.095715                   1847.095715   \n",
       "4998                    -10.204278                    -26.342375   \n",
       "4999                     56.809066                     18.722808   \n",
       "\n",
       "      quote.USD.percent_change_90d  quote.USD.market_cap  \\\n",
       "0                       -27.661235          4.096134e+11   \n",
       "1                       -17.979515          1.978965e+11   \n",
       "2                         0.093081          6.754631e+10   \n",
       "3                        -0.014471          5.227431e+10   \n",
       "4                        -8.633053          4.847495e+10   \n",
       "...                            ...                   ...   \n",
       "4995                    -78.361632          0.000000e+00   \n",
       "4996                    -48.996140          0.000000e+00   \n",
       "4997                   1847.095715          0.000000e+00   \n",
       "4998                    -63.201872          0.000000e+00   \n",
       "4999                    100.959714          0.000000e+00   \n",
       "\n",
       "      quote.USD.market_cap_dominance  quote.USD.fully_diluted_market_cap  \\\n",
       "0                            39.9868                        4.496758e+11   \n",
       "1                            19.3216                        1.978965e+11   \n",
       "2                             6.5963                        6.915445e+10   \n",
       "3                             5.1031                        5.227431e+10   \n",
       "4                             4.7336                        6.009144e+10   \n",
       "...                              ...                                 ...   \n",
       "4995                          0.0000                        5.801189e+05   \n",
       "4996                          0.0000                        2.999856e+04   \n",
       "4997                          0.0000                        6.571244e+04   \n",
       "4998                          0.0000                        0.000000e+00   \n",
       "4999                          0.0000                        2.134075e+06   \n",
       "\n",
       "      quote.USD.tvl    quote.USD.last_updated  platform.id platform.name  \\\n",
       "0               NaN  2022-08-23T00:28:00.000Z          NaN           NaN   \n",
       "1               NaN  2022-08-23T00:28:00.000Z          NaN           NaN   \n",
       "2               NaN  2022-08-23T00:28:00.000Z       1027.0      Ethereum   \n",
       "3               NaN  2022-08-23T00:28:00.000Z       1027.0      Ethereum   \n",
       "4               NaN  2022-08-23T00:28:00.000Z          NaN           NaN   \n",
       "...             ...                       ...          ...           ...   \n",
       "4995            NaN  2022-08-23T00:28:00.000Z       1027.0      Ethereum   \n",
       "4996            NaN  2022-08-23T00:28:00.000Z       1839.0           BNB   \n",
       "4997            NaN  2022-08-23T00:28:00.000Z       1839.0           BNB   \n",
       "4998            NaN  2022-08-23T00:28:00.000Z       6892.0        Elrond   \n",
       "4999            NaN  2022-08-23T00:28:00.000Z       5805.0     Avalanche   \n",
       "\n",
       "     platform.symbol platform.slug  \\\n",
       "0                NaN           NaN   \n",
       "1                NaN           NaN   \n",
       "2                ETH      ethereum   \n",
       "3                ETH      ethereum   \n",
       "4                NaN           NaN   \n",
       "...              ...           ...   \n",
       "4995             ETH      ethereum   \n",
       "4996             BNB           bnb   \n",
       "4997             BNB           bnb   \n",
       "4998            EGLD   elrond-egld   \n",
       "4999            AVAX     avalanche   \n",
       "\n",
       "                          platform.token_address                  timestamp  \n",
       "0                                            NaN 2022-08-23 00:40:40.924744  \n",
       "1                                            NaN 2022-08-23 00:40:40.924744  \n",
       "2     0xdac17f958d2ee523a2206206994597c13d831ec7 2022-08-23 00:40:40.924744  \n",
       "3     0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48 2022-08-23 00:40:40.924744  \n",
       "4                                            NaN 2022-08-23 00:40:40.924744  \n",
       "...                                          ...                        ...  \n",
       "4995  0x6cf9464B2C628Db187f2Bc1DDc0C43fDA72EfDd5 2022-08-23 00:40:40.924744  \n",
       "4996  0xd523f5097fe10cb8760f7011796a6edf7a268061 2022-08-23 00:40:40.924744  \n",
       "4997  0x06ae7A979D9818B64498c8acaFDd0ccc78bC6fd2 2022-08-23 00:40:40.924744  \n",
       "4998                               ITHEUM-df6f26 2022-08-23 00:40:40.924744  \n",
       "4999  0x325a98F258a5732c7b06555603F6aF5BC1C17F0a 2022-08-23 00:40:40.924744  \n",
       "\n",
       "[5000 rows x 36 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "\n",
    "df = pd.json_normalize(data['data'])\n",
    "df['timestamp'] = pd.to_datetime('now')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "c6f6b9af",
   "metadata": {},
   "outputs": [],
   "source": [
    "def api_runner():\n",
    "    global df\n",
    "    url = 'https://pro-api.coinmarketcap.com/v1/cryptocurrency/listings/latest' \n",
    "    #Original Sandbox Environment: 'https://sandbox-api.coinmarketcap.com/v1/cryptocurrency/listings/latest'\n",
    "    parameters = {\n",
    "      'start':'1',\n",
    "      'limit':'15',\n",
    "      'convert':'USD'\n",
    "    }\n",
    "    headers = {\n",
    "      'Accepts': 'application/json',\n",
    "      'X-CMC_PRO_API_KEY': '0ad53085-1cb2-4eb8-ad9e-3ffbd7e56509',\n",
    "    }\n",
    "\n",
    "    session = Session()\n",
    "    session.headers.update(headers)\n",
    "\n",
    "    try:\n",
    "      response = session.get(url, params=parameters)\n",
    "      data = json.loads(response.text)\n",
    "      #print(data)\n",
    "    except (ConnectionError, Timeout, TooManyRedirects) as e:\n",
    "      print(e)\n",
    "\n",
    "#NOTE:\n",
    "# I had to go in and put \"jupyter notebook --NotebookApp.iopub_data_rate_limit=1e10\"\n",
    "# Into the Anaconda Prompt to change this to allow to pull data\n",
    "    \n",
    "    # Use this if you just want to keep it in a dataframe\n",
    "    df2 = pd.json_normalize(data['data'])\n",
    "    df['Timestamp'] = pd.to_datetime('now')\n",
    "    df\n",
    "    \n",
    "    if not os.path.isfile(r'/Users/nikhilkuniyil/Desktop/PythonScripts/API.csv'):\n",
    "        df.to_csv(r'/Users/nikhilkuniyil/Desktop/PythonScripts/API.csv',header='column_names')\n",
    "    else:\n",
    "        df.to_csv(r'/Users/nikhilkuniyil/Desktop/PythonScripts/API.csv',mode='a',header=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "5c2dfe6e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nikhilkuniyil/Documents/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/datetimes.py:2199: FutureWarning: The parsing of 'now' in pd.to_datetime without `utc=True` is deprecated. In a future version, this will match Timestamp('now') and Timestamp.now()\n",
      "  result, tz_parsed = tslib.array_to_datetime(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "API Runner completed\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nikhilkuniyil/Documents/anaconda3/lib/python3.9/site-packages/pandas/core/arrays/datetimes.py:2199: FutureWarning: The parsing of 'now' in pd.to_datetime without `utc=True` is deprecated. In a future version, this will match Timestamp('now') and Timestamp.now()\n",
      "  result, tz_parsed = tslib.array_to_datetime(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "API Runner completed\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Input \u001b[0;32mIn [34]\u001b[0m, in \u001b[0;36m<cell line: 5>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      6\u001b[0m     api_runner()\n\u001b[1;32m      7\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mAPI Runner completed\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m----> 8\u001b[0m     \u001b[43msleep\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m60\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m#sleep for 1 minute\u001b[39;00m\n\u001b[1;32m      9\u001b[0m exit()\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "import os \n",
    "from time import time\n",
    "from time import sleep\n",
    "\n",
    "for i in range(333):\n",
    "    api_runner()\n",
    "    print('API Runner completed')\n",
    "    sleep(60) #sleep for 1 minute\n",
    "exit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "4bd665cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_rows', 1000)\n",
    "pd.set_option('display.float_format', lambda x: '%.5f' % x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "4059c545",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>name</th>\n",
       "      <th>symbol</th>\n",
       "      <th>slug</th>\n",
       "      <th>num_market_pairs</th>\n",
       "      <th>date_added</th>\n",
       "      <th>tags</th>\n",
       "      <th>max_supply</th>\n",
       "      <th>circulating_supply</th>\n",
       "      <th>total_supply</th>\n",
       "      <th>platform</th>\n",
       "      <th>cmc_rank</th>\n",
       "      <th>self_reported_circulating_supply</th>\n",
       "      <th>self_reported_market_cap</th>\n",
       "      <th>tvl_ratio</th>\n",
       "      <th>last_updated</th>\n",
       "      <th>quote.USD.price</th>\n",
       "      <th>quote.USD.volume_24h</th>\n",
       "      <th>quote.USD.volume_change_24h</th>\n",
       "      <th>quote.USD.percent_change_1h</th>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "      <th>quote.USD.market_cap</th>\n",
       "      <th>quote.USD.market_cap_dominance</th>\n",
       "      <th>quote.USD.fully_diluted_market_cap</th>\n",
       "      <th>quote.USD.tvl</th>\n",
       "      <th>quote.USD.last_updated</th>\n",
       "      <th>platform.id</th>\n",
       "      <th>platform.name</th>\n",
       "      <th>platform.symbol</th>\n",
       "      <th>platform.slug</th>\n",
       "      <th>platform.token_address</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>Timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>BTC</td>\n",
       "      <td>bitcoin</td>\n",
       "      <td>9684</td>\n",
       "      <td>2013-04-28T00:00:00.000Z</td>\n",
       "      <td>[mineable, pow, sha-256, store-of-value, state...</td>\n",
       "      <td>21000000.00000</td>\n",
       "      <td>19129075.00000</td>\n",
       "      <td>19129075.00000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>21413.13296</td>\n",
       "      <td>31637668835.80740</td>\n",
       "      <td>36.31250</td>\n",
       "      <td>0.93376</td>\n",
       "      <td>-0.27528</td>\n",
       "      <td>-10.86307</td>\n",
       "      <td>-5.10886</td>\n",
       "      <td>1.77833</td>\n",
       "      <td>-27.66124</td>\n",
       "      <td>409613426316.90106</td>\n",
       "      <td>39.98680</td>\n",
       "      <td>449675792094.22998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23 01:02:56.044155</td>\n",
       "      <td>2022-08-23 01:24:01.372517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1027</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>6021</td>\n",
       "      <td>2015-08-07T00:00:00.000Z</td>\n",
       "      <td>[mineable, pow, smart-contracts, ethereum-ecos...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>122072405.62400</td>\n",
       "      <td>122072405.62400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>1621.14038</td>\n",
       "      <td>18425587647.01134</td>\n",
       "      <td>15.50740</td>\n",
       "      <td>1.82581</td>\n",
       "      <td>0.52882</td>\n",
       "      <td>-14.05628</td>\n",
       "      <td>3.77636</td>\n",
       "      <td>41.37301</td>\n",
       "      <td>-17.97952</td>\n",
       "      <td>197896506049.25040</td>\n",
       "      <td>19.32160</td>\n",
       "      <td>197896506049.25000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23 01:02:56.044155</td>\n",
       "      <td>2022-08-23 01:24:01.372517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>825</td>\n",
       "      <td>Tether</td>\n",
       "      <td>USDT</td>\n",
       "      <td>tether</td>\n",
       "      <td>38617</td>\n",
       "      <td>2015-02-25T00:00:00.000Z</td>\n",
       "      <td>[payments, stablecoin, asset-backed-stablecoin...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>67549555015.74651</td>\n",
       "      <td>69157777033.00569</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>0.99995</td>\n",
       "      <td>51704282119.53892</td>\n",
       "      <td>13.14080</td>\n",
       "      <td>-0.00078</td>\n",
       "      <td>-0.00555</td>\n",
       "      <td>-0.02471</td>\n",
       "      <td>-0.00578</td>\n",
       "      <td>0.06776</td>\n",
       "      <td>0.09308</td>\n",
       "      <td>67546308447.54685</td>\n",
       "      <td>6.59630</td>\n",
       "      <td>69154453170.39999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>1027.00000</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>0xdac17f958d2ee523a2206206994597c13d831ec7</td>\n",
       "      <td>2022-08-23 01:02:56.044155</td>\n",
       "      <td>2022-08-23 01:24:01.372517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3408</td>\n",
       "      <td>USD Coin</td>\n",
       "      <td>USDC</td>\n",
       "      <td>usd-coin</td>\n",
       "      <td>5906</td>\n",
       "      <td>2018-10-08T00:00:00.000Z</td>\n",
       "      <td>[medium-of-exchange, stablecoin, asset-backed-...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>52264744495.97619</td>\n",
       "      <td>52264744495.97619</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>1.00018</td>\n",
       "      <td>5446317940.49267</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.01359</td>\n",
       "      <td>0.01205</td>\n",
       "      <td>0.03220</td>\n",
       "      <td>0.03462</td>\n",
       "      <td>0.00298</td>\n",
       "      <td>-0.01447</td>\n",
       "      <td>52274313687.76621</td>\n",
       "      <td>5.10310</td>\n",
       "      <td>52274313687.77000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>1027.00000</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48</td>\n",
       "      <td>2022-08-23 01:02:56.044155</td>\n",
       "      <td>2022-08-23 01:24:01.372517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1839</td>\n",
       "      <td>BNB</td>\n",
       "      <td>BNB</td>\n",
       "      <td>bnb</td>\n",
       "      <td>1074</td>\n",
       "      <td>2017-07-25T00:00:00.000Z</td>\n",
       "      <td>[marketplace, centralized-exchange, payments, ...</td>\n",
       "      <td>200000000.00000</td>\n",
       "      <td>161337261.09000</td>\n",
       "      <td>161337261.09000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>300.45722</td>\n",
       "      <td>1442101221.35824</td>\n",
       "      <td>13.33250</td>\n",
       "      <td>0.25238</td>\n",
       "      <td>-0.83000</td>\n",
       "      <td>-5.60788</td>\n",
       "      <td>15.50482</td>\n",
       "      <td>30.99993</td>\n",
       "      <td>-8.63305</td>\n",
       "      <td>48474945600.94130</td>\n",
       "      <td>4.73360</td>\n",
       "      <td>60091444807.53000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23T00:28:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-08-23 01:02:56.044155</td>\n",
       "      <td>2022-08-23 01:24:01.372517</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",
       "      <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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>6636</td>\n",
       "      <td>Polkadot</td>\n",
       "      <td>DOT</td>\n",
       "      <td>polkadot-new</td>\n",
       "      <td>397</td>\n",
       "      <td>2020-08-19T00:00:00.000Z</td>\n",
       "      <td>[substrate, polkadot, binance-chain, polkadot-...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1109859712.89782</td>\n",
       "      <td>1225083383.22300</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11</td>\n",
       "      <td>904869778.00000</td>\n",
       "      <td>6693712119.76148</td>\n",
       "      <td>None</td>\n",
       "      <td>2022-08-23T01:07:00.000Z</td>\n",
       "      <td>7.39743</td>\n",
       "      <td>325262715.14829</td>\n",
       "      <td>25.85280</td>\n",
       "      <td>-0.01149</td>\n",
       "      <td>0.13346</td>\n",
       "      <td>-16.62478</td>\n",
       "      <td>0.50859</td>\n",
       "      <td>-4.44223</td>\n",
       "      <td>-26.66558</td>\n",
       "      <td>8210111103.36714</td>\n",
       "      <td>0.80270</td>\n",
       "      <td>9062470301.66000</td>\n",
       "      <td>None</td>\n",
       "      <td>2022-08-23T01:07:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2022-08-23 01:24:01.372517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>5994</td>\n",
       "      <td>Shiba Inu</td>\n",
       "      <td>SHIB</td>\n",
       "      <td>shiba-inu</td>\n",
       "      <td>403</td>\n",
       "      <td>2020-08-01T00:00:00.000Z</td>\n",
       "      <td>[memes, ethereum-ecosystem, doggone-doggerel]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>549063278876301.93750</td>\n",
       "      <td>589735030408322.75000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2022-08-23T01:07:00.000Z</td>\n",
       "      <td>0.00001</td>\n",
       "      <td>450218728.81031</td>\n",
       "      <td>5.18050</td>\n",
       "      <td>-0.01403</td>\n",
       "      <td>-2.04269</td>\n",
       "      <td>-15.27067</td>\n",
       "      <td>12.81293</td>\n",
       "      <td>28.50284</td>\n",
       "      <td>12.58000</td>\n",
       "      <td>7224690658.95300</td>\n",
       "      <td>0.70630</td>\n",
       "      <td>7759858160.92000</td>\n",
       "      <td>None</td>\n",
       "      <td>2022-08-23T01:07:00.000Z</td>\n",
       "      <td>1027.00000</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>0x95ad61b0a150d79219dcf64e1e6cc01f0b64c4ce</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2022-08-23 01:24:01.372517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4943</td>\n",
       "      <td>Dai</td>\n",
       "      <td>DAI</td>\n",
       "      <td>multi-collateral-dai</td>\n",
       "      <td>1260</td>\n",
       "      <td>2019-11-22T00:00:00.000Z</td>\n",
       "      <td>[defi, stablecoin, ethereum-ecosystem, avalanc...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6987377121.32537</td>\n",
       "      <td>6987377121.32537</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2022-08-23T01:07:00.000Z</td>\n",
       "      <td>1.00027</td>\n",
       "      <td>499476756.36297</td>\n",
       "      <td>16.43550</td>\n",
       "      <td>0.01684</td>\n",
       "      <td>0.07821</td>\n",
       "      <td>0.05382</td>\n",
       "      <td>0.04312</td>\n",
       "      <td>-0.00363</td>\n",
       "      <td>0.02358</td>\n",
       "      <td>6989290943.23684</td>\n",
       "      <td>0.68330</td>\n",
       "      <td>6989290943.24000</td>\n",
       "      <td>None</td>\n",
       "      <td>2022-08-23T01:07:00.000Z</td>\n",
       "      <td>1027.00000</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>0x6b175474e89094c44da98b954eedeac495271d0f</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2022-08-23 01:24:01.372517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>3890</td>\n",
       "      <td>Polygon</td>\n",
       "      <td>MATIC</td>\n",
       "      <td>polygon</td>\n",
       "      <td>463</td>\n",
       "      <td>2019-04-28T00:00:00.000Z</td>\n",
       "      <td>[platform, enterprise-solutions, scaling, stat...</td>\n",
       "      <td>10000000000.00000</td>\n",
       "      <td>8042124673.28493</td>\n",
       "      <td>10000000000.00000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2022-08-23T01:07:00.000Z</td>\n",
       "      <td>0.81751</td>\n",
       "      <td>392639420.69610</td>\n",
       "      <td>-0.84640</td>\n",
       "      <td>1.11693</td>\n",
       "      <td>0.42693</td>\n",
       "      <td>-14.63452</td>\n",
       "      <td>-5.26382</td>\n",
       "      <td>36.76769</td>\n",
       "      <td>24.24102</td>\n",
       "      <td>6574485758.78268</td>\n",
       "      <td>0.64260</td>\n",
       "      <td>8175060728.20000</td>\n",
       "      <td>None</td>\n",
       "      <td>2022-08-23T01:07:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2022-08-23 01:24:01.372517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5805</td>\n",
       "      <td>Avalanche</td>\n",
       "      <td>AVAX</td>\n",
       "      <td>avalanche</td>\n",
       "      <td>302</td>\n",
       "      <td>2020-07-13T00:00:00.000Z</td>\n",
       "      <td>[defi, smart-contracts, three-arrows-capital-p...</td>\n",
       "      <td>720000000.00000</td>\n",
       "      <td>285015951.18971</td>\n",
       "      <td>404229626.49901</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2022-08-23T01:07:00.000Z</td>\n",
       "      <td>22.62625</td>\n",
       "      <td>516478501.52415</td>\n",
       "      <td>8.83930</td>\n",
       "      <td>0.31036</td>\n",
       "      <td>-0.75805</td>\n",
       "      <td>-19.24564</td>\n",
       "      <td>-4.37020</td>\n",
       "      <td>25.22308</td>\n",
       "      <td>-21.25587</td>\n",
       "      <td>6448842966.82395</td>\n",
       "      <td>0.63030</td>\n",
       "      <td>16290902024.02000</td>\n",
       "      <td>None</td>\n",
       "      <td>2022-08-23T01:07:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2022-08-23 01:24:01.372517</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15030 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      id       name symbol                  slug  num_market_pairs  \\\n",
       "0      1    Bitcoin    BTC               bitcoin              9684   \n",
       "1   1027   Ethereum    ETH              ethereum              6021   \n",
       "2    825     Tether   USDT                tether             38617   \n",
       "3   3408   USD Coin   USDC              usd-coin              5906   \n",
       "4   1839        BNB    BNB                   bnb              1074   \n",
       "..   ...        ...    ...                   ...               ...   \n",
       "10  6636   Polkadot    DOT          polkadot-new               397   \n",
       "11  5994  Shiba Inu   SHIB             shiba-inu               403   \n",
       "12  4943        Dai    DAI  multi-collateral-dai              1260   \n",
       "13  3890    Polygon  MATIC               polygon               463   \n",
       "14  5805  Avalanche   AVAX             avalanche               302   \n",
       "\n",
       "                  date_added  \\\n",
       "0   2013-04-28T00:00:00.000Z   \n",
       "1   2015-08-07T00:00:00.000Z   \n",
       "2   2015-02-25T00:00:00.000Z   \n",
       "3   2018-10-08T00:00:00.000Z   \n",
       "4   2017-07-25T00:00:00.000Z   \n",
       "..                       ...   \n",
       "10  2020-08-19T00:00:00.000Z   \n",
       "11  2020-08-01T00:00:00.000Z   \n",
       "12  2019-11-22T00:00:00.000Z   \n",
       "13  2019-04-28T00:00:00.000Z   \n",
       "14  2020-07-13T00:00:00.000Z   \n",
       "\n",
       "                                                 tags        max_supply  \\\n",
       "0   [mineable, pow, sha-256, store-of-value, state...    21000000.00000   \n",
       "1   [mineable, pow, smart-contracts, ethereum-ecos...               NaN   \n",
       "2   [payments, stablecoin, asset-backed-stablecoin...               NaN   \n",
       "3   [medium-of-exchange, stablecoin, asset-backed-...               NaN   \n",
       "4   [marketplace, centralized-exchange, payments, ...   200000000.00000   \n",
       "..                                                ...               ...   \n",
       "10  [substrate, polkadot, binance-chain, polkadot-...               NaN   \n",
       "11      [memes, ethereum-ecosystem, doggone-doggerel]               NaN   \n",
       "12  [defi, stablecoin, ethereum-ecosystem, avalanc...               NaN   \n",
       "13  [platform, enterprise-solutions, scaling, stat... 10000000000.00000   \n",
       "14  [defi, smart-contracts, three-arrows-capital-p...   720000000.00000   \n",
       "\n",
       "      circulating_supply          total_supply  platform  cmc_rank  \\\n",
       "0         19129075.00000        19129075.00000       NaN         1   \n",
       "1        122072405.62400       122072405.62400       NaN         2   \n",
       "2      67549555015.74651     69157777033.00569       NaN         3   \n",
       "3      52264744495.97619     52264744495.97619       NaN         4   \n",
       "4        161337261.09000       161337261.09000       NaN         5   \n",
       "..                   ...                   ...       ...       ...   \n",
       "10      1109859712.89782      1225083383.22300       NaN        11   \n",
       "11 549063278876301.93750 589735030408322.75000       NaN        12   \n",
       "12      6987377121.32537      6987377121.32537       NaN        13   \n",
       "13      8042124673.28493     10000000000.00000       NaN        14   \n",
       "14       285015951.18971       404229626.49901       NaN        15   \n",
       "\n",
       "    self_reported_circulating_supply  self_reported_market_cap tvl_ratio  \\\n",
       "0                                NaN                       NaN       NaN   \n",
       "1                                NaN                       NaN       NaN   \n",
       "2                                NaN                       NaN       NaN   \n",
       "3                                NaN                       NaN       NaN   \n",
       "4                                NaN                       NaN       NaN   \n",
       "..                               ...                       ...       ...   \n",
       "10                   904869778.00000          6693712119.76148      None   \n",
       "11                               NaN                       NaN      None   \n",
       "12                               NaN                       NaN      None   \n",
       "13                               NaN                       NaN      None   \n",
       "14                               NaN                       NaN      None   \n",
       "\n",
       "                last_updated  quote.USD.price  quote.USD.volume_24h  \\\n",
       "0   2022-08-23T00:28:00.000Z      21413.13296     31637668835.80740   \n",
       "1   2022-08-23T00:28:00.000Z       1621.14038     18425587647.01134   \n",
       "2   2022-08-23T00:28:00.000Z          0.99995     51704282119.53892   \n",
       "3   2022-08-23T00:28:00.000Z          1.00018      5446317940.49267   \n",
       "4   2022-08-23T00:28:00.000Z        300.45722      1442101221.35824   \n",
       "..                       ...              ...                   ...   \n",
       "10  2022-08-23T01:07:00.000Z          7.39743       325262715.14829   \n",
       "11  2022-08-23T01:07:00.000Z          0.00001       450218728.81031   \n",
       "12  2022-08-23T01:07:00.000Z          1.00027       499476756.36297   \n",
       "13  2022-08-23T01:07:00.000Z          0.81751       392639420.69610   \n",
       "14  2022-08-23T01:07:00.000Z         22.62625       516478501.52415   \n",
       "\n",
       "    quote.USD.volume_change_24h  quote.USD.percent_change_1h  \\\n",
       "0                      36.31250                      0.93376   \n",
       "1                      15.50740                      1.82581   \n",
       "2                      13.14080                     -0.00078   \n",
       "3                       0.00000                      0.01359   \n",
       "4                      13.33250                      0.25238   \n",
       "..                          ...                          ...   \n",
       "10                     25.85280                     -0.01149   \n",
       "11                      5.18050                     -0.01403   \n",
       "12                     16.43550                      0.01684   \n",
       "13                     -0.84640                      1.11693   \n",
       "14                      8.83930                      0.31036   \n",
       "\n",
       "    quote.USD.percent_change_24h  quote.USD.percent_change_7d  \\\n",
       "0                       -0.27528                    -10.86307   \n",
       "1                        0.52882                    -14.05628   \n",
       "2                       -0.00555                     -0.02471   \n",
       "3                        0.01205                      0.03220   \n",
       "4                       -0.83000                     -5.60788   \n",
       "..                           ...                          ...   \n",
       "10                       0.13346                    -16.62478   \n",
       "11                      -2.04269                    -15.27067   \n",
       "12                       0.07821                      0.05382   \n",
       "13                       0.42693                    -14.63452   \n",
       "14                      -0.75805                    -19.24564   \n",
       "\n",
       "    quote.USD.percent_change_30d  quote.USD.percent_change_60d  \\\n",
       "0                       -5.10886                       1.77833   \n",
       "1                        3.77636                      41.37301   \n",
       "2                       -0.00578                       0.06776   \n",
       "3                        0.03462                       0.00298   \n",
       "4                       15.50482                      30.99993   \n",
       "..                           ...                           ...   \n",
       "10                       0.50859                      -4.44223   \n",
       "11                      12.81293                      28.50284   \n",
       "12                       0.04312                      -0.00363   \n",
       "13                      -5.26382                      36.76769   \n",
       "14                      -4.37020                      25.22308   \n",
       "\n",
       "    quote.USD.percent_change_90d  quote.USD.market_cap  \\\n",
       "0                      -27.66124    409613426316.90106   \n",
       "1                      -17.97952    197896506049.25040   \n",
       "2                        0.09308     67546308447.54685   \n",
       "3                       -0.01447     52274313687.76621   \n",
       "4                       -8.63305     48474945600.94130   \n",
       "..                           ...                   ...   \n",
       "10                     -26.66558      8210111103.36714   \n",
       "11                      12.58000      7224690658.95300   \n",
       "12                       0.02358      6989290943.23684   \n",
       "13                      24.24102      6574485758.78268   \n",
       "14                     -21.25587      6448842966.82395   \n",
       "\n",
       "    quote.USD.market_cap_dominance  quote.USD.fully_diluted_market_cap  \\\n",
       "0                         39.98680                  449675792094.22998   \n",
       "1                         19.32160                  197896506049.25000   \n",
       "2                          6.59630                   69154453170.39999   \n",
       "3                          5.10310                   52274313687.77000   \n",
       "4                          4.73360                   60091444807.53000   \n",
       "..                             ...                                 ...   \n",
       "10                         0.80270                    9062470301.66000   \n",
       "11                         0.70630                    7759858160.92000   \n",
       "12                         0.68330                    6989290943.24000   \n",
       "13                         0.64260                    8175060728.20000   \n",
       "14                         0.63030                   16290902024.02000   \n",
       "\n",
       "   quote.USD.tvl    quote.USD.last_updated  platform.id platform.name  \\\n",
       "0            NaN  2022-08-23T00:28:00.000Z          NaN           NaN   \n",
       "1            NaN  2022-08-23T00:28:00.000Z          NaN           NaN   \n",
       "2            NaN  2022-08-23T00:28:00.000Z   1027.00000      Ethereum   \n",
       "3            NaN  2022-08-23T00:28:00.000Z   1027.00000      Ethereum   \n",
       "4            NaN  2022-08-23T00:28:00.000Z          NaN           NaN   \n",
       "..           ...                       ...          ...           ...   \n",
       "10          None  2022-08-23T01:07:00.000Z          NaN           NaN   \n",
       "11          None  2022-08-23T01:07:00.000Z   1027.00000      Ethereum   \n",
       "12          None  2022-08-23T01:07:00.000Z   1027.00000      Ethereum   \n",
       "13          None  2022-08-23T01:07:00.000Z          NaN           NaN   \n",
       "14          None  2022-08-23T01:07:00.000Z          NaN           NaN   \n",
       "\n",
       "   platform.symbol platform.slug                      platform.token_address  \\\n",
       "0              NaN           NaN                                         NaN   \n",
       "1              NaN           NaN                                         NaN   \n",
       "2              ETH      ethereum  0xdac17f958d2ee523a2206206994597c13d831ec7   \n",
       "3              ETH      ethereum  0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48   \n",
       "4              NaN           NaN                                         NaN   \n",
       "..             ...           ...                                         ...   \n",
       "10             NaN           NaN                                         NaN   \n",
       "11             ETH      ethereum  0x95ad61b0a150d79219dcf64e1e6cc01f0b64c4ce   \n",
       "12             ETH      ethereum  0x6b175474e89094c44da98b954eedeac495271d0f   \n",
       "13             NaN           NaN                                         NaN   \n",
       "14             NaN           NaN                                         NaN   \n",
       "\n",
       "                    timestamp                  Timestamp  \n",
       "0  2022-08-23 01:02:56.044155 2022-08-23 01:24:01.372517  \n",
       "1  2022-08-23 01:02:56.044155 2022-08-23 01:24:01.372517  \n",
       "2  2022-08-23 01:02:56.044155 2022-08-23 01:24:01.372517  \n",
       "3  2022-08-23 01:02:56.044155 2022-08-23 01:24:01.372517  \n",
       "4  2022-08-23 01:02:56.044155 2022-08-23 01:24:01.372517  \n",
       "..                        ...                        ...  \n",
       "10                        NaT 2022-08-23 01:24:01.372517  \n",
       "11                        NaT 2022-08-23 01:24:01.372517  \n",
       "12                        NaT 2022-08-23 01:24:01.372517  \n",
       "13                        NaT 2022-08-23 01:24:01.372517  \n",
       "14                        NaT 2022-08-23 01:24:01.372517  \n",
       "\n",
       "[15030 rows x 37 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "d72aa014",
   "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>quote.USD.percent_change_1h</th>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bitcoin</th>\n",
       "      <td>-0.04861</td>\n",
       "      <td>-0.55491</td>\n",
       "      <td>-11.51388</td>\n",
       "      <td>-5.39593</td>\n",
       "      <td>1.63024</td>\n",
       "      <td>-27.91750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ethereum</th>\n",
       "      <td>0.44410</td>\n",
       "      <td>0.67744</td>\n",
       "      <td>-14.52292</td>\n",
       "      <td>3.67483</td>\n",
       "      <td>41.84116</td>\n",
       "      <td>-17.85942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tether</th>\n",
       "      <td>-0.00006</td>\n",
       "      <td>-0.00616</td>\n",
       "      <td>-0.02247</td>\n",
       "      <td>-0.00775</td>\n",
       "      <td>0.06779</td>\n",
       "      <td>0.08815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>USD Coin</th>\n",
       "      <td>-0.00239</td>\n",
       "      <td>-0.00492</td>\n",
       "      <td>-0.00211</td>\n",
       "      <td>0.00942</td>\n",
       "      <td>-0.01768</td>\n",
       "      <td>-0.00347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BNB</th>\n",
       "      <td>-0.90541</td>\n",
       "      <td>-1.35519</td>\n",
       "      <td>-7.29097</td>\n",
       "      <td>14.39590</td>\n",
       "      <td>29.89328</td>\n",
       "      <td>-9.69451</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Affinity</th>\n",
       "      <td>-4.19710</td>\n",
       "      <td>-5.79711</td>\n",
       "      <td>-20.56119</td>\n",
       "      <td>10.19034</td>\n",
       "      <td>28.15867</td>\n",
       "      <td>-20.10310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ocavu Network Token</th>\n",
       "      <td>-0.28604</td>\n",
       "      <td>-0.54555</td>\n",
       "      <td>0.06639</td>\n",
       "      <td>-13.97956</td>\n",
       "      <td>-61.16241</td>\n",
       "      <td>-89.49836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Memecoin</th>\n",
       "      <td>-0.22743</td>\n",
       "      <td>-6.76585</td>\n",
       "      <td>-24.45651</td>\n",
       "      <td>-5.63101</td>\n",
       "      <td>-11.01991</td>\n",
       "      <td>-22.56750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MaticVerse</th>\n",
       "      <td>0.05960</td>\n",
       "      <td>-13.10205</td>\n",
       "      <td>-6.26393</td>\n",
       "      <td>-3.37884</td>\n",
       "      <td>-17.00002</td>\n",
       "      <td>-32.61843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DOEX</th>\n",
       "      <td>26.96843</td>\n",
       "      <td>6.48500</td>\n",
       "      <td>-16.92930</td>\n",
       "      <td>-16.51980</td>\n",
       "      <td>-42.06131</td>\n",
       "      <td>-66.94123</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4993 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     quote.USD.percent_change_1h  \\\n",
       "name                                               \n",
       "Bitcoin                                 -0.04861   \n",
       "Ethereum                                 0.44410   \n",
       "Tether                                  -0.00006   \n",
       "USD Coin                                -0.00239   \n",
       "BNB                                     -0.90541   \n",
       "...                                          ...   \n",
       "Affinity                                -4.19710   \n",
       "Ocavu Network Token                     -0.28604   \n",
       "Memecoin                                -0.22743   \n",
       "MaticVerse                               0.05960   \n",
       "DOEX                                    26.96843   \n",
       "\n",
       "                     quote.USD.percent_change_24h  \\\n",
       "name                                                \n",
       "Bitcoin                                  -0.55491   \n",
       "Ethereum                                  0.67744   \n",
       "Tether                                   -0.00616   \n",
       "USD Coin                                 -0.00492   \n",
       "BNB                                      -1.35519   \n",
       "...                                           ...   \n",
       "Affinity                                 -5.79711   \n",
       "Ocavu Network Token                      -0.54555   \n",
       "Memecoin                                 -6.76585   \n",
       "MaticVerse                              -13.10205   \n",
       "DOEX                                      6.48500   \n",
       "\n",
       "                     quote.USD.percent_change_7d  \\\n",
       "name                                               \n",
       "Bitcoin                                -11.51388   \n",
       "Ethereum                               -14.52292   \n",
       "Tether                                  -0.02247   \n",
       "USD Coin                                -0.00211   \n",
       "BNB                                     -7.29097   \n",
       "...                                          ...   \n",
       "Affinity                               -20.56119   \n",
       "Ocavu Network Token                      0.06639   \n",
       "Memecoin                               -24.45651   \n",
       "MaticVerse                              -6.26393   \n",
       "DOEX                                   -16.92930   \n",
       "\n",
       "                     quote.USD.percent_change_30d  \\\n",
       "name                                                \n",
       "Bitcoin                                  -5.39593   \n",
       "Ethereum                                  3.67483   \n",
       "Tether                                   -0.00775   \n",
       "USD Coin                                  0.00942   \n",
       "BNB                                      14.39590   \n",
       "...                                           ...   \n",
       "Affinity                                 10.19034   \n",
       "Ocavu Network Token                     -13.97956   \n",
       "Memecoin                                 -5.63101   \n",
       "MaticVerse                               -3.37884   \n",
       "DOEX                                    -16.51980   \n",
       "\n",
       "                     quote.USD.percent_change_60d  \\\n",
       "name                                                \n",
       "Bitcoin                                   1.63024   \n",
       "Ethereum                                 41.84116   \n",
       "Tether                                    0.06779   \n",
       "USD Coin                                 -0.01768   \n",
       "BNB                                      29.89328   \n",
       "...                                           ...   \n",
       "Affinity                                 28.15867   \n",
       "Ocavu Network Token                     -61.16241   \n",
       "Memecoin                                -11.01991   \n",
       "MaticVerse                              -17.00002   \n",
       "DOEX                                    -42.06131   \n",
       "\n",
       "                     quote.USD.percent_change_90d  \n",
       "name                                               \n",
       "Bitcoin                                 -27.91750  \n",
       "Ethereum                                -17.85942  \n",
       "Tether                                    0.08815  \n",
       "USD Coin                                 -0.00347  \n",
       "BNB                                      -9.69451  \n",
       "...                                           ...  \n",
       "Affinity                                -20.10310  \n",
       "Ocavu Network Token                     -89.49836  \n",
       "Memecoin                                -22.56750  \n",
       "MaticVerse                              -32.61843  \n",
       "DOEX                                    -66.94123  \n",
       "\n",
       "[4993 rows x 6 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3 = df.groupby('name',sort=False)[['quote.USD.percent_change_1h', 'quote.USD.percent_change_24h', 'quote.USD.percent_change_7d',\n",
    "                              'quote.USD.percent_change_30d', 'quote.USD.percent_change_60d','quote.USD.percent_change_90d']].mean()\n",
    "df3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "28dc1806",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name                                 \n",
       "Bitcoin  quote.USD.percent_change_1h     -0.04861\n",
       "         quote.USD.percent_change_24h    -0.55491\n",
       "         quote.USD.percent_change_7d    -11.51388\n",
       "         quote.USD.percent_change_30d    -5.39593\n",
       "         quote.USD.percent_change_60d     1.63024\n",
       "                                           ...   \n",
       "DOEX     quote.USD.percent_change_24h     6.48500\n",
       "         quote.USD.percent_change_7d    -16.92930\n",
       "         quote.USD.percent_change_30d   -16.51980\n",
       "         quote.USD.percent_change_60d   -42.06131\n",
       "         quote.USD.percent_change_90d   -66.94123\n",
       "Length: 29958, dtype: float64"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df4 = df3.stack()\n",
    "df4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "cfa903ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>values</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Bitcoin</th>\n",
       "      <th>quote.USD.percent_change_1h</th>\n",
       "      <td>-0.04861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <td>-0.55491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <td>-11.51388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <td>-5.39593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <td>1.63024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">DOEX</th>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <td>6.48500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <td>-16.92930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <td>-16.51980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <td>-42.06131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "      <td>-66.94123</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>29958 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        values\n",
       "name                                          \n",
       "Bitcoin quote.USD.percent_change_1h   -0.04861\n",
       "        quote.USD.percent_change_24h  -0.55491\n",
       "        quote.USD.percent_change_7d  -11.51388\n",
       "        quote.USD.percent_change_30d  -5.39593\n",
       "        quote.USD.percent_change_60d   1.63024\n",
       "...                                        ...\n",
       "DOEX    quote.USD.percent_change_24h   6.48500\n",
       "        quote.USD.percent_change_7d  -16.92930\n",
       "        quote.USD.percent_change_30d -16.51980\n",
       "        quote.USD.percent_change_60d -42.06131\n",
       "        quote.USD.percent_change_90d -66.94123\n",
       "\n",
       "[29958 rows x 1 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df5 = df4.to_frame(name='values')\n",
    "df5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "59abcad1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>values</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Bitcoin</th>\n",
       "      <th>quote.USD.percent_change_1h</th>\n",
       "      <td>-0.04861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <td>-0.55491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <td>-11.51388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <td>-5.39593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <td>1.63024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "      <td>-27.91750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Ethereum</th>\n",
       "      <th>quote.USD.percent_change_1h</th>\n",
       "      <td>0.44410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <td>0.67744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <td>-14.52292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <td>3.67483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <td>41.84116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "      <td>-17.85942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Tether</th>\n",
       "      <th>quote.USD.percent_change_1h</th>\n",
       "      <td>-0.00006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <td>-0.00616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <td>-0.02247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <td>-0.00775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <td>0.06779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "      <td>0.08815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">USD Coin</th>\n",
       "      <th>quote.USD.percent_change_1h</th>\n",
       "      <td>-0.00239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <td>-0.00492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <td>-0.00211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <td>0.00942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <td>-0.01768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "      <td>-0.00347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">BNB</th>\n",
       "      <th>quote.USD.percent_change_1h</th>\n",
       "      <td>-0.90541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <td>-1.35519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <td>-7.29097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <td>14.39590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <td>29.89328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "      <td>-9.69451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Binance USD</th>\n",
       "      <th>quote.USD.percent_change_1h</th>\n",
       "      <td>0.01972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <td>0.04264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <td>0.04082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <td>0.09351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <td>0.00122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "      <td>0.05963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">XRP</th>\n",
       "      <th>quote.USD.percent_change_1h</th>\n",
       "      <td>-0.16525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <td>-0.03155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <td>-8.59384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <td>-4.81053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <td>-0.03296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "      <td>-15.91142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Cardano</th>\n",
       "      <th>quote.USD.percent_change_1h</th>\n",
       "      <td>0.16369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <td>-0.08997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <td>-16.94673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <td>-11.03905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <td>-3.59407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "      <td>-11.26988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Solana</th>\n",
       "      <th>quote.USD.percent_change_1h</th>\n",
       "      <td>-0.04563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <td>-2.73545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <td>-19.23121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <td>-11.90301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <td>-7.19877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "      <td>-28.36513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Dogecoin</th>\n",
       "      <th>quote.USD.percent_change_1h</th>\n",
       "      <td>0.35517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <td>-0.91028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <td>-13.01896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <td>0.57039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <td>6.68284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "      <td>-17.65644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Polkadot</th>\n",
       "      <th>quote.USD.percent_change_1h</th>\n",
       "      <td>0.10770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <td>-0.02055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <td>-16.33662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <td>0.45392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <td>-4.77480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "      <td>-26.88674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Shiba Inu</th>\n",
       "      <th>quote.USD.percent_change_1h</th>\n",
       "      <td>0.15474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <td>-2.01644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <td>-14.83827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <td>12.78327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <td>28.28670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "      <td>12.50450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Dai</th>\n",
       "      <th>quote.USD.percent_change_1h</th>\n",
       "      <td>-0.00151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <td>0.04903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <td>0.04131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <td>0.03060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <td>-0.01929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "      <td>-0.01084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Polygon</th>\n",
       "      <th>quote.USD.percent_change_1h</th>\n",
       "      <td>0.61281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <td>-0.15071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <td>-14.79410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <td>-6.10958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <td>36.90953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "      <td>23.37283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Avalanche</th>\n",
       "      <th>quote.USD.percent_change_1h</th>\n",
       "      <td>0.46238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_24h</th>\n",
       "      <td>-0.88503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_7d</th>\n",
       "      <td>-19.01283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_30d</th>\n",
       "      <td>-4.56723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_60d</th>\n",
       "      <td>24.57572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>quote.USD.percent_change_90d</th>\n",
       "      <td>-21.44383</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            values\n",
       "name                                              \n",
       "Bitcoin     quote.USD.percent_change_1h   -0.04861\n",
       "            quote.USD.percent_change_24h  -0.55491\n",
       "            quote.USD.percent_change_7d  -11.51388\n",
       "            quote.USD.percent_change_30d  -5.39593\n",
       "            quote.USD.percent_change_60d   1.63024\n",
       "            quote.USD.percent_change_90d -27.91750\n",
       "Ethereum    quote.USD.percent_change_1h    0.44410\n",
       "            quote.USD.percent_change_24h   0.67744\n",
       "            quote.USD.percent_change_7d  -14.52292\n",
       "            quote.USD.percent_change_30d   3.67483\n",
       "            quote.USD.percent_change_60d  41.84116\n",
       "            quote.USD.percent_change_90d -17.85942\n",
       "Tether      quote.USD.percent_change_1h   -0.00006\n",
       "            quote.USD.percent_change_24h  -0.00616\n",
       "            quote.USD.percent_change_7d   -0.02247\n",
       "            quote.USD.percent_change_30d  -0.00775\n",
       "            quote.USD.percent_change_60d   0.06779\n",
       "            quote.USD.percent_change_90d   0.08815\n",
       "USD Coin    quote.USD.percent_change_1h   -0.00239\n",
       "            quote.USD.percent_change_24h  -0.00492\n",
       "            quote.USD.percent_change_7d   -0.00211\n",
       "            quote.USD.percent_change_30d   0.00942\n",
       "            quote.USD.percent_change_60d  -0.01768\n",
       "            quote.USD.percent_change_90d  -0.00347\n",
       "BNB         quote.USD.percent_change_1h   -0.90541\n",
       "            quote.USD.percent_change_24h  -1.35519\n",
       "            quote.USD.percent_change_7d   -7.29097\n",
       "            quote.USD.percent_change_30d  14.39590\n",
       "            quote.USD.percent_change_60d  29.89328\n",
       "            quote.USD.percent_change_90d  -9.69451\n",
       "Binance USD quote.USD.percent_change_1h    0.01972\n",
       "            quote.USD.percent_change_24h   0.04264\n",
       "            quote.USD.percent_change_7d    0.04082\n",
       "            quote.USD.percent_change_30d   0.09351\n",
       "            quote.USD.percent_change_60d   0.00122\n",
       "            quote.USD.percent_change_90d   0.05963\n",
       "XRP         quote.USD.percent_change_1h   -0.16525\n",
       "            quote.USD.percent_change_24h  -0.03155\n",
       "            quote.USD.percent_change_7d   -8.59384\n",
       "            quote.USD.percent_change_30d  -4.81053\n",
       "            quote.USD.percent_change_60d  -0.03296\n",
       "            quote.USD.percent_change_90d -15.91142\n",
       "Cardano     quote.USD.percent_change_1h    0.16369\n",
       "            quote.USD.percent_change_24h  -0.08997\n",
       "            quote.USD.percent_change_7d  -16.94673\n",
       "            quote.USD.percent_change_30d -11.03905\n",
       "            quote.USD.percent_change_60d  -3.59407\n",
       "            quote.USD.percent_change_90d -11.26988\n",
       "Solana      quote.USD.percent_change_1h   -0.04563\n",
       "            quote.USD.percent_change_24h  -2.73545\n",
       "            quote.USD.percent_change_7d  -19.23121\n",
       "            quote.USD.percent_change_30d -11.90301\n",
       "            quote.USD.percent_change_60d  -7.19877\n",
       "            quote.USD.percent_change_90d -28.36513\n",
       "Dogecoin    quote.USD.percent_change_1h    0.35517\n",
       "            quote.USD.percent_change_24h  -0.91028\n",
       "            quote.USD.percent_change_7d  -13.01896\n",
       "            quote.USD.percent_change_30d   0.57039\n",
       "            quote.USD.percent_change_60d   6.68284\n",
       "            quote.USD.percent_change_90d -17.65644\n",
       "Polkadot    quote.USD.percent_change_1h    0.10770\n",
       "            quote.USD.percent_change_24h  -0.02055\n",
       "            quote.USD.percent_change_7d  -16.33662\n",
       "            quote.USD.percent_change_30d   0.45392\n",
       "            quote.USD.percent_change_60d  -4.77480\n",
       "            quote.USD.percent_change_90d -26.88674\n",
       "Shiba Inu   quote.USD.percent_change_1h    0.15474\n",
       "            quote.USD.percent_change_24h  -2.01644\n",
       "            quote.USD.percent_change_7d  -14.83827\n",
       "            quote.USD.percent_change_30d  12.78327\n",
       "            quote.USD.percent_change_60d  28.28670\n",
       "            quote.USD.percent_change_90d  12.50450\n",
       "Dai         quote.USD.percent_change_1h   -0.00151\n",
       "            quote.USD.percent_change_24h   0.04903\n",
       "            quote.USD.percent_change_7d    0.04131\n",
       "            quote.USD.percent_change_30d   0.03060\n",
       "            quote.USD.percent_change_60d  -0.01929\n",
       "            quote.USD.percent_change_90d  -0.01084\n",
       "Polygon     quote.USD.percent_change_1h    0.61281\n",
       "            quote.USD.percent_change_24h  -0.15071\n",
       "            quote.USD.percent_change_7d  -14.79410\n",
       "            quote.USD.percent_change_30d  -6.10958\n",
       "            quote.USD.percent_change_60d  36.90953\n",
       "            quote.USD.percent_change_90d  23.37283\n",
       "Avalanche   quote.USD.percent_change_1h    0.46238\n",
       "            quote.USD.percent_change_24h  -0.88503\n",
       "            quote.USD.percent_change_7d  -19.01283\n",
       "            quote.USD.percent_change_30d  -4.56723\n",
       "            quote.USD.percent_change_60d  24.57572\n",
       "            quote.USD.percent_change_90d -21.44383"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df6 = df5.head(90)\n",
    "df6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "6e55e40b",
   "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>name</th>\n",
       "      <th>level_1</th>\n",
       "      <th>values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>-0.04861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-0.55491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-11.51388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>-5.39593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>1.63024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-27.91750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Ethereum</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>0.44410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Ethereum</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>0.67744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Ethereum</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-14.52292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Ethereum</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>3.67483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Ethereum</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>41.84116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Ethereum</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-17.85942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Tether</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>-0.00006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Tether</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-0.00616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Tether</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-0.02247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Tether</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>-0.00775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Tether</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>0.06779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Tether</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>0.08815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>USD Coin</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>-0.00239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>USD Coin</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-0.00492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>USD Coin</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-0.00211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>USD Coin</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>0.00942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>USD Coin</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>-0.01768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>USD Coin</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-0.00347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>BNB</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>-0.90541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>BNB</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-1.35519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>BNB</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-7.29097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>BNB</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>14.39590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>BNB</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>29.89328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>BNB</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-9.69451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Binance USD</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>0.01972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Binance USD</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>0.04264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Binance USD</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>0.04082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Binance USD</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>0.09351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Binance USD</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>0.00122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Binance USD</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>0.05963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>XRP</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>-0.16525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>XRP</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-0.03155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>XRP</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-8.59384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>XRP</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>-4.81053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>XRP</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>-0.03296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>XRP</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-15.91142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Cardano</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>0.16369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Cardano</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-0.08997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Cardano</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-16.94673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Cardano</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>-11.03905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Cardano</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>-3.59407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Cardano</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-11.26988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Solana</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>-0.04563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Solana</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-2.73545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Solana</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-19.23121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Solana</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>-11.90301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Solana</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>-7.19877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Solana</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-28.36513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Dogecoin</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>0.35517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Dogecoin</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-0.91028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Dogecoin</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-13.01896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Dogecoin</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>0.57039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Dogecoin</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>6.68284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Dogecoin</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-17.65644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Polkadot</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>0.10770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Polkadot</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-0.02055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Polkadot</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-16.33662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Polkadot</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>0.45392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Polkadot</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>-4.77480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Polkadot</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-26.88674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Shiba Inu</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>0.15474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Shiba Inu</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-2.01644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Shiba Inu</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-14.83827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Shiba Inu</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>12.78327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Shiba Inu</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>28.28670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Shiba Inu</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>12.50450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Dai</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>-0.00151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Dai</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>0.04903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Dai</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>0.04131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Dai</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>0.03060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Dai</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>-0.01929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Dai</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-0.01084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Polygon</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>0.61281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Polygon</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-0.15071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Polygon</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-14.79410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Polygon</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>-6.10958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Polygon</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>36.90953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Polygon</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>23.37283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Avalanche</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>0.46238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Avalanche</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-0.88503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Avalanche</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-19.01283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Avalanche</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>-4.56723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Avalanche</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>24.57572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Avalanche</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-21.44383</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           name                       level_1    values\n",
       "0       Bitcoin   quote.USD.percent_change_1h  -0.04861\n",
       "1       Bitcoin  quote.USD.percent_change_24h  -0.55491\n",
       "2       Bitcoin   quote.USD.percent_change_7d -11.51388\n",
       "3       Bitcoin  quote.USD.percent_change_30d  -5.39593\n",
       "4       Bitcoin  quote.USD.percent_change_60d   1.63024\n",
       "5       Bitcoin  quote.USD.percent_change_90d -27.91750\n",
       "6      Ethereum   quote.USD.percent_change_1h   0.44410\n",
       "7      Ethereum  quote.USD.percent_change_24h   0.67744\n",
       "8      Ethereum   quote.USD.percent_change_7d -14.52292\n",
       "9      Ethereum  quote.USD.percent_change_30d   3.67483\n",
       "10     Ethereum  quote.USD.percent_change_60d  41.84116\n",
       "11     Ethereum  quote.USD.percent_change_90d -17.85942\n",
       "12       Tether   quote.USD.percent_change_1h  -0.00006\n",
       "13       Tether  quote.USD.percent_change_24h  -0.00616\n",
       "14       Tether   quote.USD.percent_change_7d  -0.02247\n",
       "15       Tether  quote.USD.percent_change_30d  -0.00775\n",
       "16       Tether  quote.USD.percent_change_60d   0.06779\n",
       "17       Tether  quote.USD.percent_change_90d   0.08815\n",
       "18     USD Coin   quote.USD.percent_change_1h  -0.00239\n",
       "19     USD Coin  quote.USD.percent_change_24h  -0.00492\n",
       "20     USD Coin   quote.USD.percent_change_7d  -0.00211\n",
       "21     USD Coin  quote.USD.percent_change_30d   0.00942\n",
       "22     USD Coin  quote.USD.percent_change_60d  -0.01768\n",
       "23     USD Coin  quote.USD.percent_change_90d  -0.00347\n",
       "24          BNB   quote.USD.percent_change_1h  -0.90541\n",
       "25          BNB  quote.USD.percent_change_24h  -1.35519\n",
       "26          BNB   quote.USD.percent_change_7d  -7.29097\n",
       "27          BNB  quote.USD.percent_change_30d  14.39590\n",
       "28          BNB  quote.USD.percent_change_60d  29.89328\n",
       "29          BNB  quote.USD.percent_change_90d  -9.69451\n",
       "30  Binance USD   quote.USD.percent_change_1h   0.01972\n",
       "31  Binance USD  quote.USD.percent_change_24h   0.04264\n",
       "32  Binance USD   quote.USD.percent_change_7d   0.04082\n",
       "33  Binance USD  quote.USD.percent_change_30d   0.09351\n",
       "34  Binance USD  quote.USD.percent_change_60d   0.00122\n",
       "35  Binance USD  quote.USD.percent_change_90d   0.05963\n",
       "36          XRP   quote.USD.percent_change_1h  -0.16525\n",
       "37          XRP  quote.USD.percent_change_24h  -0.03155\n",
       "38          XRP   quote.USD.percent_change_7d  -8.59384\n",
       "39          XRP  quote.USD.percent_change_30d  -4.81053\n",
       "40          XRP  quote.USD.percent_change_60d  -0.03296\n",
       "41          XRP  quote.USD.percent_change_90d -15.91142\n",
       "42      Cardano   quote.USD.percent_change_1h   0.16369\n",
       "43      Cardano  quote.USD.percent_change_24h  -0.08997\n",
       "44      Cardano   quote.USD.percent_change_7d -16.94673\n",
       "45      Cardano  quote.USD.percent_change_30d -11.03905\n",
       "46      Cardano  quote.USD.percent_change_60d  -3.59407\n",
       "47      Cardano  quote.USD.percent_change_90d -11.26988\n",
       "48       Solana   quote.USD.percent_change_1h  -0.04563\n",
       "49       Solana  quote.USD.percent_change_24h  -2.73545\n",
       "50       Solana   quote.USD.percent_change_7d -19.23121\n",
       "51       Solana  quote.USD.percent_change_30d -11.90301\n",
       "52       Solana  quote.USD.percent_change_60d  -7.19877\n",
       "53       Solana  quote.USD.percent_change_90d -28.36513\n",
       "54     Dogecoin   quote.USD.percent_change_1h   0.35517\n",
       "55     Dogecoin  quote.USD.percent_change_24h  -0.91028\n",
       "56     Dogecoin   quote.USD.percent_change_7d -13.01896\n",
       "57     Dogecoin  quote.USD.percent_change_30d   0.57039\n",
       "58     Dogecoin  quote.USD.percent_change_60d   6.68284\n",
       "59     Dogecoin  quote.USD.percent_change_90d -17.65644\n",
       "60     Polkadot   quote.USD.percent_change_1h   0.10770\n",
       "61     Polkadot  quote.USD.percent_change_24h  -0.02055\n",
       "62     Polkadot   quote.USD.percent_change_7d -16.33662\n",
       "63     Polkadot  quote.USD.percent_change_30d   0.45392\n",
       "64     Polkadot  quote.USD.percent_change_60d  -4.77480\n",
       "65     Polkadot  quote.USD.percent_change_90d -26.88674\n",
       "66    Shiba Inu   quote.USD.percent_change_1h   0.15474\n",
       "67    Shiba Inu  quote.USD.percent_change_24h  -2.01644\n",
       "68    Shiba Inu   quote.USD.percent_change_7d -14.83827\n",
       "69    Shiba Inu  quote.USD.percent_change_30d  12.78327\n",
       "70    Shiba Inu  quote.USD.percent_change_60d  28.28670\n",
       "71    Shiba Inu  quote.USD.percent_change_90d  12.50450\n",
       "72          Dai   quote.USD.percent_change_1h  -0.00151\n",
       "73          Dai  quote.USD.percent_change_24h   0.04903\n",
       "74          Dai   quote.USD.percent_change_7d   0.04131\n",
       "75          Dai  quote.USD.percent_change_30d   0.03060\n",
       "76          Dai  quote.USD.percent_change_60d  -0.01929\n",
       "77          Dai  quote.USD.percent_change_90d  -0.01084\n",
       "78      Polygon   quote.USD.percent_change_1h   0.61281\n",
       "79      Polygon  quote.USD.percent_change_24h  -0.15071\n",
       "80      Polygon   quote.USD.percent_change_7d -14.79410\n",
       "81      Polygon  quote.USD.percent_change_30d  -6.10958\n",
       "82      Polygon  quote.USD.percent_change_60d  36.90953\n",
       "83      Polygon  quote.USD.percent_change_90d  23.37283\n",
       "84    Avalanche   quote.USD.percent_change_1h   0.46238\n",
       "85    Avalanche  quote.USD.percent_change_24h  -0.88503\n",
       "86    Avalanche   quote.USD.percent_change_7d -19.01283\n",
       "87    Avalanche  quote.USD.percent_change_30d  -4.56723\n",
       "88    Avalanche  quote.USD.percent_change_60d  24.57572\n",
       "89    Avalanche  quote.USD.percent_change_90d -21.44383"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "index = pd.Index(range(90))\n",
    "\n",
    "df7 = df6.reset_index()\n",
    "df7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "5389d0ea",
   "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>name</th>\n",
       "      <th>percent_change</th>\n",
       "      <th>values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>-0.04861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-0.55491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-11.51388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>-5.39593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>1.63024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-27.91750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Ethereum</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>0.44410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Ethereum</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>0.67744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Ethereum</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-14.52292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Ethereum</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>3.67483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Ethereum</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>41.84116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Ethereum</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-17.85942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Tether</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>-0.00006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Tether</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-0.00616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Tether</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-0.02247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Tether</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>-0.00775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Tether</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>0.06779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Tether</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>0.08815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>USD Coin</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>-0.00239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>USD Coin</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-0.00492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>USD Coin</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-0.00211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>USD Coin</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>0.00942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>USD Coin</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>-0.01768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>USD Coin</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-0.00347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>BNB</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>-0.90541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>BNB</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-1.35519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>BNB</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-7.29097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>BNB</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>14.39590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>BNB</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>29.89328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>BNB</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-9.69451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Binance USD</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>0.01972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Binance USD</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>0.04264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Binance USD</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>0.04082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Binance USD</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>0.09351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Binance USD</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>0.00122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Binance USD</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>0.05963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>XRP</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>-0.16525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>XRP</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-0.03155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>XRP</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-8.59384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>XRP</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>-4.81053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>XRP</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>-0.03296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>XRP</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-15.91142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Cardano</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>0.16369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Cardano</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-0.08997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Cardano</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-16.94673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Cardano</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>-11.03905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Cardano</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>-3.59407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Cardano</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-11.26988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Solana</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>-0.04563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Solana</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-2.73545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Solana</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-19.23121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Solana</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>-11.90301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Solana</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>-7.19877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Solana</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-28.36513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Dogecoin</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>0.35517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Dogecoin</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-0.91028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Dogecoin</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-13.01896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Dogecoin</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>0.57039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Dogecoin</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>6.68284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Dogecoin</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-17.65644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Polkadot</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>0.10770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Polkadot</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-0.02055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Polkadot</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-16.33662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Polkadot</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>0.45392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Polkadot</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>-4.77480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Polkadot</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-26.88674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Shiba Inu</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>0.15474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Shiba Inu</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-2.01644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Shiba Inu</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-14.83827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Shiba Inu</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>12.78327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Shiba Inu</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>28.28670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Shiba Inu</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>12.50450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Dai</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>-0.00151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Dai</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>0.04903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Dai</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>0.04131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Dai</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>0.03060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Dai</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>-0.01929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Dai</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-0.01084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Polygon</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>0.61281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Polygon</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-0.15071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Polygon</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-14.79410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Polygon</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>-6.10958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Polygon</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>36.90953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Polygon</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>23.37283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Avalanche</td>\n",
       "      <td>quote.USD.percent_change_1h</td>\n",
       "      <td>0.46238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Avalanche</td>\n",
       "      <td>quote.USD.percent_change_24h</td>\n",
       "      <td>-0.88503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Avalanche</td>\n",
       "      <td>quote.USD.percent_change_7d</td>\n",
       "      <td>-19.01283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Avalanche</td>\n",
       "      <td>quote.USD.percent_change_30d</td>\n",
       "      <td>-4.56723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Avalanche</td>\n",
       "      <td>quote.USD.percent_change_60d</td>\n",
       "      <td>24.57572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Avalanche</td>\n",
       "      <td>quote.USD.percent_change_90d</td>\n",
       "      <td>-21.44383</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           name                percent_change    values\n",
       "0       Bitcoin   quote.USD.percent_change_1h  -0.04861\n",
       "1       Bitcoin  quote.USD.percent_change_24h  -0.55491\n",
       "2       Bitcoin   quote.USD.percent_change_7d -11.51388\n",
       "3       Bitcoin  quote.USD.percent_change_30d  -5.39593\n",
       "4       Bitcoin  quote.USD.percent_change_60d   1.63024\n",
       "5       Bitcoin  quote.USD.percent_change_90d -27.91750\n",
       "6      Ethereum   quote.USD.percent_change_1h   0.44410\n",
       "7      Ethereum  quote.USD.percent_change_24h   0.67744\n",
       "8      Ethereum   quote.USD.percent_change_7d -14.52292\n",
       "9      Ethereum  quote.USD.percent_change_30d   3.67483\n",
       "10     Ethereum  quote.USD.percent_change_60d  41.84116\n",
       "11     Ethereum  quote.USD.percent_change_90d -17.85942\n",
       "12       Tether   quote.USD.percent_change_1h  -0.00006\n",
       "13       Tether  quote.USD.percent_change_24h  -0.00616\n",
       "14       Tether   quote.USD.percent_change_7d  -0.02247\n",
       "15       Tether  quote.USD.percent_change_30d  -0.00775\n",
       "16       Tether  quote.USD.percent_change_60d   0.06779\n",
       "17       Tether  quote.USD.percent_change_90d   0.08815\n",
       "18     USD Coin   quote.USD.percent_change_1h  -0.00239\n",
       "19     USD Coin  quote.USD.percent_change_24h  -0.00492\n",
       "20     USD Coin   quote.USD.percent_change_7d  -0.00211\n",
       "21     USD Coin  quote.USD.percent_change_30d   0.00942\n",
       "22     USD Coin  quote.USD.percent_change_60d  -0.01768\n",
       "23     USD Coin  quote.USD.percent_change_90d  -0.00347\n",
       "24          BNB   quote.USD.percent_change_1h  -0.90541\n",
       "25          BNB  quote.USD.percent_change_24h  -1.35519\n",
       "26          BNB   quote.USD.percent_change_7d  -7.29097\n",
       "27          BNB  quote.USD.percent_change_30d  14.39590\n",
       "28          BNB  quote.USD.percent_change_60d  29.89328\n",
       "29          BNB  quote.USD.percent_change_90d  -9.69451\n",
       "30  Binance USD   quote.USD.percent_change_1h   0.01972\n",
       "31  Binance USD  quote.USD.percent_change_24h   0.04264\n",
       "32  Binance USD   quote.USD.percent_change_7d   0.04082\n",
       "33  Binance USD  quote.USD.percent_change_30d   0.09351\n",
       "34  Binance USD  quote.USD.percent_change_60d   0.00122\n",
       "35  Binance USD  quote.USD.percent_change_90d   0.05963\n",
       "36          XRP   quote.USD.percent_change_1h  -0.16525\n",
       "37          XRP  quote.USD.percent_change_24h  -0.03155\n",
       "38          XRP   quote.USD.percent_change_7d  -8.59384\n",
       "39          XRP  quote.USD.percent_change_30d  -4.81053\n",
       "40          XRP  quote.USD.percent_change_60d  -0.03296\n",
       "41          XRP  quote.USD.percent_change_90d -15.91142\n",
       "42      Cardano   quote.USD.percent_change_1h   0.16369\n",
       "43      Cardano  quote.USD.percent_change_24h  -0.08997\n",
       "44      Cardano   quote.USD.percent_change_7d -16.94673\n",
       "45      Cardano  quote.USD.percent_change_30d -11.03905\n",
       "46      Cardano  quote.USD.percent_change_60d  -3.59407\n",
       "47      Cardano  quote.USD.percent_change_90d -11.26988\n",
       "48       Solana   quote.USD.percent_change_1h  -0.04563\n",
       "49       Solana  quote.USD.percent_change_24h  -2.73545\n",
       "50       Solana   quote.USD.percent_change_7d -19.23121\n",
       "51       Solana  quote.USD.percent_change_30d -11.90301\n",
       "52       Solana  quote.USD.percent_change_60d  -7.19877\n",
       "53       Solana  quote.USD.percent_change_90d -28.36513\n",
       "54     Dogecoin   quote.USD.percent_change_1h   0.35517\n",
       "55     Dogecoin  quote.USD.percent_change_24h  -0.91028\n",
       "56     Dogecoin   quote.USD.percent_change_7d -13.01896\n",
       "57     Dogecoin  quote.USD.percent_change_30d   0.57039\n",
       "58     Dogecoin  quote.USD.percent_change_60d   6.68284\n",
       "59     Dogecoin  quote.USD.percent_change_90d -17.65644\n",
       "60     Polkadot   quote.USD.percent_change_1h   0.10770\n",
       "61     Polkadot  quote.USD.percent_change_24h  -0.02055\n",
       "62     Polkadot   quote.USD.percent_change_7d -16.33662\n",
       "63     Polkadot  quote.USD.percent_change_30d   0.45392\n",
       "64     Polkadot  quote.USD.percent_change_60d  -4.77480\n",
       "65     Polkadot  quote.USD.percent_change_90d -26.88674\n",
       "66    Shiba Inu   quote.USD.percent_change_1h   0.15474\n",
       "67    Shiba Inu  quote.USD.percent_change_24h  -2.01644\n",
       "68    Shiba Inu   quote.USD.percent_change_7d -14.83827\n",
       "69    Shiba Inu  quote.USD.percent_change_30d  12.78327\n",
       "70    Shiba Inu  quote.USD.percent_change_60d  28.28670\n",
       "71    Shiba Inu  quote.USD.percent_change_90d  12.50450\n",
       "72          Dai   quote.USD.percent_change_1h  -0.00151\n",
       "73          Dai  quote.USD.percent_change_24h   0.04903\n",
       "74          Dai   quote.USD.percent_change_7d   0.04131\n",
       "75          Dai  quote.USD.percent_change_30d   0.03060\n",
       "76          Dai  quote.USD.percent_change_60d  -0.01929\n",
       "77          Dai  quote.USD.percent_change_90d  -0.01084\n",
       "78      Polygon   quote.USD.percent_change_1h   0.61281\n",
       "79      Polygon  quote.USD.percent_change_24h  -0.15071\n",
       "80      Polygon   quote.USD.percent_change_7d -14.79410\n",
       "81      Polygon  quote.USD.percent_change_30d  -6.10958\n",
       "82      Polygon  quote.USD.percent_change_60d  36.90953\n",
       "83      Polygon  quote.USD.percent_change_90d  23.37283\n",
       "84    Avalanche   quote.USD.percent_change_1h   0.46238\n",
       "85    Avalanche  quote.USD.percent_change_24h  -0.88503\n",
       "86    Avalanche   quote.USD.percent_change_7d -19.01283\n",
       "87    Avalanche  quote.USD.percent_change_30d  -4.56723\n",
       "88    Avalanche  quote.USD.percent_change_60d  24.57572\n",
       "89    Avalanche  quote.USD.percent_change_90d -21.44383"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df8 = df7.rename(columns={'level_1': 'percent_change'})\n",
    "df8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "2f20c1b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df8['percent_change'] = df8['percent_change'].replace(['quote.USD.percent_change_1h','quote.USD.percent_change_24h', 'quote.USD.percent_change_7d',\n",
    "                              'quote.USD.percent_change_30d', 'quote.USD.percent_change_60d','quote.USD.percent_change_90d'],\n",
    "                                                      ['1h','24h','7d','30d','60d','90d'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "96954e66",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "770e737a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7fcfe7079bb0>"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 460.75x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x='percent_change',y='values',hue='name',data=df8,kind='point')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "8ec59558",
   "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>name</th>\n",
       "      <th>quote.USD.price</th>\n",
       "      <th>timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>21413.13296</td>\n",
       "      <td>2022-08-23 01:02:56.044155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>21323.96384</td>\n",
       "      <td>2022-08-23 01:02:56.044155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>21325.96837</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>21330.89060</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>21338.73102</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      name  quote.USD.price                  timestamp\n",
       "0  Bitcoin      21413.13296 2022-08-23 01:02:56.044155\n",
       "0  Bitcoin      21323.96384 2022-08-23 01:02:56.044155\n",
       "0  Bitcoin      21325.96837                        NaT\n",
       "0  Bitcoin      21330.89060                        NaT\n",
       "0  Bitcoin      21338.73102                        NaT"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df9 = df[['name','quote.USD.price','timestamp']]\n",
    "df9 = df9.query(\"name == 'Bitcoin'\")\n",
    "df9"
   ]
  }
 ],
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