Python Using a Pubic API.ipynb

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   "metadata": {},
   "source": [
    "# Python - Using a Public API"
   ]
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     "text": [
      "{'status': {'timestamp': '2023-04-28T01:10:04.540Z', 'error_code': 0, 'error_message': None, 'elapsed': 16, 'credit_count': 1, 'notice': None, 'total_count': 9420}, 'data': [{'id': 1, 'name': 'Bitcoin', 'symbol': 'BTC', 'slug': 'bitcoin', 'num_market_pairs': 10192, 'date_added': '2010-07-13T00:00:00.000Z', 'tags': ['mineable', 'pow', 'sha-256', 'store-of-value', 'state-channel', 'coinbase-ventures-portfolio', 'three-arrows-capital-portfolio', 'polychain-capital-portfolio', 'binance-labs-portfolio', 'blockchain-capital-portfolio', 'boostvc-portfolio', 'cms-holdings-portfolio', 'dcg-portfolio', 'dragonfly-capital-portfolio', 'electric-capital-portfolio', 'fabric-ventures-portfolio', 'framework-ventures-portfolio', 'galaxy-digital-portfolio', 'huobi-capital-portfolio', 'alameda-research-portfolio', 'a16z-portfolio', '1confirmation-portfolio', 'winklevoss-capital-portfolio', 'usv-portfolio', 'placeholder-ventures-portfolio', 'pantera-capital-portfolio', 'multicoin-capital-portfolio', 'paradigm-portfolio', 'btc-ecosystem'], 'max_supply': 21000000, 'circulating_supply': 19357968, 'total_supply': 19357968, 'infinite_supply': False, 'platform': None, 'cmc_rank': 1, 'self_reported_circulating_supply': None, 'self_reported_market_cap': None, 'tvl_ratio': None, 'last_updated': '2023-04-28T01:08:00.000Z', 'quote': {'USD': {'price': 29535.618671799904, 'volume_24h': 25475972247.59101, 'volume_change_24h': -23.9891, 'percent_change_1h': 0.09385811, 'percent_change_24h': 1.27511219, 'percent_change_7d': 4.54805447, 'percent_change_30d': 8.16443094, 'percent_change_60d': 25.84103472, 'percent_change_90d': 27.6150707, 'market_cap': 571749561108.905, 'market_cap_dominance': 47.1416, 'fully_diluted_market_cap': 620247992107.8, 'tvl': None, 'last_updated': '2023-04-28T01:08:00.000Z'}}}, {'id': 1027, 'name': 'Ethereum', 'symbol': 'ETH', 'slug': 'ethereum', 'num_market_pairs': 6792, 'date_added': '2015-08-07T00:00:00.000Z', 'tags': ['pos', 'smart-contracts', 'ethereum-ecosystem', 'coinbase-ventures-portfolio', 'three-arrows-capital-portfolio', 'polychain-capital-portfolio', 'binance-labs-portfolio', 'blockchain-capital-portfolio', 'boostvc-portfolio', 'cms-holdings-portfolio', 'dcg-portfolio', 'dragonfly-capital-portfolio', 'electric-capital-portfolio', 'fabric-ventures-portfolio', 'framework-ventures-portfolio', 'hashkey-capital-portfolio', 'kenetic-capital-portfolio', 'huobi-capital-portfolio', 'alameda-research-portfolio', 'a16z-portfolio', '1confirmation-portfolio', 'winklevoss-capital-portfolio', 'usv-portfolio', 'placeholder-ventures-portfolio', 'pantera-capital-portfolio', 'multicoin-capital-portfolio', 'paradigm-portfolio', 'injective-ecosystem', 'layer-1'], 'max_supply': None, 'circulating_supply': 120402439.83090551, 'total_supply': 120402439.83090551, 'infinite_supply': False, 'platform': None, 'cmc_rank': 2, 'self_reported_circulating_supply': None, 'self_reported_market_cap': None, 'tvl_ratio': None, 'last_updated': '2023-04-28T01:08:00.000Z', 'quote': {'USD': {'price': 1913.168265101174, 'volume_24h': 13067359930.451437, 'volume_change_24h': -15.2448, 'percent_change_1h': 0.16803246, 'percent_change_24h': -0.3526247, 'percent_change_7d': -1.75807133, 'percent_change_30d': 7.5539776, 'percent_change_60d': 17.01737577, 'percent_change_90d': 19.37166251, 'market_cap': 230350126925.242, 'market_cap_dominance': 18.9931, 'fully_diluted_market_cap': 230350126925.24, 'tvl': None, 'last_updated': '2023-04-28T01:08:00.000Z'}}}, {'id': 825, 'name': 'Tether', 'symbol': 'USDT', 'slug': 'tether', 'num_market_pairs': 52139, 'date_added': '2015-02-25T00:00:00.000Z', 'tags': ['payments', 'stablecoin', 'asset-backed-stablecoin', 'avalanche-ecosystem', 'solana-ecosystem', 'arbitrum-ecosytem', 'moonriver-ecosystem', 'injective-ecosystem', 'bnb-chain', 'usd-stablecoin', 'optimism-ecosystem'], 'max_supply': None, 'circulating_supply': 81615536097.75209, 'total_supply': 85090638896.27086, 'platform': {'id': 1027, 'name': 'Ethereum', 'symbol': 'ETH', 'slug': 'ethereum', 'token_address': '0xdac17f958d2ee523a2206206994597c13d831ec7'}, 'infinite_supply': False, 'cmc_rank': 3, 'self_reported_circulating_supply': None, 'self_reported_market_cap': None, 'tvl_ratio': None, 'last_updated': '2023-04-28T01:08:00.000Z', 'quote': {'USD': {'price': 1.0002773672401413, 'volume_24h': 33550001836.183464, 'volume_change_24h': -26.4891, 'percent_change_1h': 0.01509648, 'percent_change_24h': -0.00152351, 'percent_change_7d': 0.00853243, 'percent_change_30d': -0.02766158, 'percent_change_60d': 0.01929165, 'percent_change_90d': 0.01182045, 'market_cap': 81638173573.75217, 'market_cap_dominance': 6.7307, 'fully_diluted_market_cap': 85114240251.94, 'tvl': None, 'last_updated': '2023-04-28T01:08:00.000Z'}}}, {'id': 1839, 'name': 'BNB', 'symbol': 'BNB', 'slug': 'bnb', 'num_market_pairs': 1294, 'date_added': '2017-07-25T00:00:00.000Z', 'tags': ['marketplace', 'centralized-exchange', 'payments', 'smart-contracts', 'alameda-research-portfolio', 'multicoin-capital-portfolio', 'bnb-chain', 'layer-1'], 'max_supply': None, 'circulating_supply': 155863259.81731284, 'total_supply': 155863259.81731284, 'infinite_supply': False, 'platform': None, 'cmc_rank': 4, 'self_reported_circulating_supply': None, 'self_reported_market_cap': None, 'tvl_ratio': None, 'last_updated': '2023-04-28T01:08:00.000Z', 'quote': {'USD': {'price': 328.8149035003145, 'volume_24h': 726131550.2975961, 'volume_change_24h': -24.4919, 'percent_change_1h': -0.51301672, 'percent_change_24h': -1.74468593, 'percent_change_7d': 3.01668127, 'percent_change_30d': 4.77727846, 'percent_change_60d': 6.82748202, 'percent_change_90d': 6.40510968, 'market_cap': 51250162736.074165, 'market_cap_dominance': 4.2257, 'fully_diluted_market_cap': 51250162736.07, 'tvl': None, 'last_updated': '2023-04-28T01:08:00.000Z'}}}, {'id': 3408, 'name': 'USD Coin', 'symbol': 'USDC', 'slug': 'usd-coin', 'num_market_pairs': 12065, 'date_added': '2018-10-08T00:00:00.000Z', 'tags': ['medium-of-exchange', 'stablecoin', 'asset-backed-stablecoin', 'fantom-ecosystem', 'arbitrum-ecosytem', 'moonriver-ecosystem', 'bnb-chain', 'usd-stablecoin', 'optimism-ecosystem'], 'max_supply': None, 'circulating_supply': 30533726557.88739, 'total_supply': 30533726557.88739, 'platform': {'id': 1027, 'name': 'Ethereum', 'symbol': 'ETH', 'slug': 'ethereum', 'token_address': '0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48'}, 'infinite_supply': False, 'cmc_rank': 5, 'self_reported_circulating_supply': None, 'self_reported_market_cap': None, 'tvl_ratio': None, 'last_updated': '2023-04-28T01:08:00.000Z', 'quote': {'USD': {'price': 0.9998875869831734, 'volume_24h': 5175563273.743484, 'volume_change_24h': -26.7557, 'percent_change_1h': 0.00902952, 'percent_change_24h': -0.02146554, 'percent_change_7d': -0.02559302, 'percent_change_30d': -0.03088931, 'percent_change_60d': -0.00801699, 'percent_change_90d': -0.00751317, 'market_cap': 30530294169.570057, 'market_cap_dominance': 2.5171, 'fully_diluted_market_cap': 30530294169.57, 'tvl': None, 'last_updated': '2023-04-28T01:08:00.000Z'}}}, {'id': 52, 'name': 'XRP', 'symbol': 'XRP', 'slug': 'xrp', 'num_market_pairs': 937, 'date_added': '2013-08-04T00:00:00.000Z', 'tags': ['medium-of-exchange', 'enterprise-solutions', 'arrington-xrp-capital-portfolio', 'galaxy-digital-portfolio', 'a16z-portfolio', 'pantera-capital-portfolio'], 'max_supply': 100000000000, 'circulating_supply': 51750810378, 'total_supply': 99988998998, 'infinite_supply': False, 'platform': None, 'cmc_rank': 6, 'self_reported_circulating_supply': None, 'self_reported_market_cap': None, 'tvl_ratio': None, 'last_updated': '2023-04-28T01:08:00.000Z', 'quote': {'USD': {'price': 0.4661759370358776, 'volume_24h': 1587497474.91348, 'volume_change_24h': -2.8203, 'percent_change_1h': -0.06388753, 'percent_change_24h': -0.25752682, 'percent_change_7d': -1.80900332, 'percent_change_30d': -10.39475499, 'percent_change_60d': 23.50532568, 'percent_change_90d': 12.56166624, 'market_cap': 24124982520.33017, 'market_cap_dominance': 1.9891, 'fully_diluted_market_cap': 46617593703.59, 'tvl': None, 'last_updated': '2023-04-28T01:08:00.000Z'}}}, {'id': 2010, 'name': 'Cardano', 'symbol': 'ADA', 'slug': 'cardano', 'num_market_pairs': 772, 'date_added': '2017-10-01T00:00:00.000Z', 'tags': ['dpos', 'pos', 'platform', 'research', 'smart-contracts', 'staking', 'cardano-ecosystem', 'cardano', 'layer-1'], 'max_supply': 45000000000, 'circulating_supply': 34800090009.615, 'total_supply': 35727842284.508, 'infinite_supply': False, 'platform': None, 'cmc_rank': 7, 'self_reported_circulating_supply': None, 'self_reported_market_cap': None, 'tvl_ratio': None, 'last_updated': '2023-04-28T01:08:00.000Z', 'quote': {'USD': {'price': 0.4103869885067318, 'volume_24h': 374937054.7660597, 'volume_change_24h': -26.1708, 'percent_change_1h': 0.05067737, 'percent_change_24h': 0.01805484, 'percent_change_7d': 1.93491513, 'percent_change_30d': 11.67763773, 'percent_change_60d': 11.95902477, 'percent_change_90d': 3.35219126, 'market_cap': 14281504138.809101, 'market_cap_dominance': 1.1778, 'fully_diluted_market_cap': 18467414482.8, 'tvl': None, 'last_updated': '2023-04-28T01:08:00.000Z'}}}, {'id': 74, 'name': 'Dogecoin', 'symbol': 'DOGE', 'slug': 'dogecoin', 'num_market_pairs': 696, 'date_added': '2013-12-15T00:00:00.000Z', 'tags': ['mineable', 'pow', 'scrypt', 'medium-of-exchange', 'memes', 'payments', 'doggone-doggerel', 'bnb-chain'], 'max_supply': None, 'circulating_supply': 139117606383.7052, 'total_supply': 139117606383.7052, 'infinite_supply': False, 'platform': None, 'cmc_rank': 8, 'self_reported_circulating_supply': None, 'self_reported_market_cap': None, 'tvl_ratio': None, 'last_updated': '2023-04-28T01:08:00.000Z', 'quote': {'USD': {'price': 0.08026363370704069, 'volume_24h': 397826536.3639845, 'volume_change_24h': -47.0281, 'percent_change_1h': 0.14535876, 'percent_change_24h': 0.18807815, 'percent_change_7d': -4.85410803, 'percent_change_30d': 8.83078399, 'percent_change_60d': -1.83189282, 'percent_change_90d': -8.78636377, 'market_cap': 11166084600.98198, 'market_cap_dominance': 0.9208, 'fully_diluted_market_cap': 11166084600.98, 'tvl': None, 'last_updated': '2023-04-28T01:08:00.000Z'}}}, {'id': 3890, 'name': 'Polygon', 'symbol': 'MATIC', 'slug': 'polygon', 'num_market_pairs': 673, 'date_added': '2019-04-28T00:00:00.000Z', 'tags': ['platform', 'enterprise-solutions', 'zero-knowledge-proofs', 'scaling', 'state-channel', 'coinbase-ventures-portfolio', 'layer-2', 'binance-launchpad', 'binance-labs-portfolio', 'polygon-ecosystem', 'moonriver-ecosystem', 'injective-ecosystem'], 'max_supply': 10000000000, 'circulating_supply': 9249469069.28493, 'total_supply': 10000000000, 'infinite_supply': False, 'platform': None, 'cmc_rank': 9, 'self_reported_circulating_supply': None, 'self_reported_market_cap': None, 'tvl_ratio': None, 'last_updated': '2023-04-28T01:08:00.000Z', 'quote': {'USD': {'price': 1.01444110658447, 'volume_24h': 491528040.4021803, 'volume_change_24h': -27.5788, 'percent_change_1h': 0.21496481, 'percent_change_24h': 0.00292354, 'percent_change_7d': -3.72024454, 'percent_change_30d': -6.8059154, 'percent_change_60d': -20.07333008, 'percent_change_90d': -12.04342694, 'market_cap': 9383041637.964231, 'market_cap_dominance': 0.7736, 'fully_diluted_market_cap': 10144411065.84, 'tvl': None, 'last_updated': '2023-04-28T01:08:00.000Z'}}}, {'id': 5426, 'name': 'Solana', 'symbol': 'SOL', 'slug': 'solana', 'num_market_pairs': 457, 'date_added': '2020-04-10T00:00:00.000Z', 'tags': ['pos', 'platform', 'solana-ecosystem', 'cms-holdings-portfolio', 'kenetic-capital-portfolio', 'alameda-research-portfolio', 'multicoin-capital-portfolio', 'okex-blockdream-ventures-portfolio', 'layer-1'], 'max_supply': None, 'circulating_supply': 392894815.6071931, 'total_supply': 539312704.8875339, 'infinite_supply': False, 'platform': None, 'cmc_rank': 10, 'self_reported_circulating_supply': None, 'self_reported_market_cap': None, 'tvl_ratio': None, 'last_updated': '2023-04-28T01:08:00.000Z', 'quote': {'USD': {'price': 22.595498192666785, 'volume_24h': 456354683.6448625, 'volume_change_24h': -38.6538, 'percent_change_1h': 1.1557118, 'percent_change_24h': 2.86916315, 'percent_change_7d': 1.41644404, 'percent_change_30d': 9.72612723, 'percent_change_60d': -2.07268561, 'percent_change_90d': -8.36981403, 'market_cap': 8877654095.960482, 'market_cap_dominance': 0.732, 'fully_diluted_market_cap': 12186039248.57, 'tvl': None, 'last_updated': '2023-04-28T01:08:00.000Z'}}}, {'id': 6636, 'name': 'Polkadot', 'symbol': 'DOT', 'slug': 'polkadot-new', 'num_market_pairs': 498, 'date_added': '2020-08-19T00:00:00.000Z', 'tags': ['substrate', 'polkadot', 'binance-chain', 'polkadot-ecosystem', 'three-arrows-capital-portfolio', 'polychain-capital-portfolio', 'arrington-xrp-capital-portfolio', 'blockchain-capital-portfolio', 'boostvc-portfolio', 'cms-holdings-portfolio', 'coinfund-portfolio', 'fabric-ventures-portfolio', 'fenbushi-capital-portfolio', 'hashkey-capital-portfolio', 'kenetic-capital-portfolio', '1confirmation-portfolio', 'placeholder-ventures-portfolio', 'pantera-capital-portfolio', 'exnetwork-capital-portfolio', 'web3', 'spartan-group', 'injective-ecosystem', 'bnb-chain', 'layer-1'], 'max_supply': None, 'circulating_supply': 1178075036.880687, 'total_supply': 1307553914.1858668, 'infinite_supply': False, 'platform': None, 'cmc_rank': 11, 'self_reported_circulating_supply': None, 'self_reported_market_cap': None, 'tvl_ratio': None, 'last_updated': '2023-04-28T01:08:00.000Z', 'quote': {'USD': {'price': 5.9736043864287005, 'volume_24h': 167927598.50712848, 'volume_change_24h': -36.2863, 'percent_change_1h': 0.02694088, 'percent_change_24h': -0.36545912, 'percent_change_7d': -2.90970717, 'percent_change_30d': -1.63506415, 'percent_change_60d': -10.31024201, 'percent_change_90d': -9.97798182, 'market_cap': 7037354207.852625, 'market_cap_dominance': 0.5802, 'fully_diluted_market_cap': 7810809797.27, 'tvl': None, 'last_updated': '2023-04-28T01:08:00.000Z'}}}, {'id': 2, 'name': 'Litecoin', 'symbol': 'LTC', 'slug': 'litecoin', 'num_market_pairs': 908, 'date_added': '2013-04-28T00:00:00.000Z', 'tags': ['mineable', 'pow', 'scrypt', 'medium-of-exchange'], 'max_supply': 84000000, 'circulating_supply': 72799864.3208046, 'total_supply': 84000000, 'infinite_supply': False, 'platform': None, 'cmc_rank': 12, 'self_reported_circulating_supply': None, 'self_reported_market_cap': None, 'tvl_ratio': None, 'last_updated': '2023-04-28T01:08:00.000Z', 'quote': {'USD': {'price': 89.7300921461783, 'volume_24h': 519067196.0165708, 'volume_change_24h': -38.7703, 'percent_change_1h': 0.01269858, 'percent_change_24h': -0.39626935, 'percent_change_7d': -0.86371377, 'percent_change_30d': 0.52443425, 'percent_change_60d': -5.29665405, 'percent_change_90d': 0.92238796, 'market_cap': 6532338533.735074, 'market_cap_dominance': 0.5387, 'fully_diluted_market_cap': 7537327740.28, 'tvl': None, 'last_updated': '2023-04-28T01:08:00.000Z'}}}, {'id': 4687, 'name': 'Binance USD', 'symbol': 'BUSD', 'slug': 'binance-usd', 'num_market_pairs': 6669, 'date_added': '2019-09-20T00:00:00.000Z', 'tags': ['stablecoin', 'asset-backed-stablecoin', 'binance-chain', 'harmony-ecosystem', 'moonriver-ecosystem', 'usd-stablecoin', 'optimism-ecosystem'], 'max_supply': None, 'circulating_supply': 6280952229.493376, 'total_supply': 6280952229.493376, 'platform': {'id': 1839, 'name': 'BNB', 'symbol': 'BNB', 'slug': 'bnb', 'token_address': 'BUSD-BD1'}, 'infinite_supply': False, 'cmc_rank': 13, 'self_reported_circulating_supply': None, 'self_reported_market_cap': None, 'tvl_ratio': None, 'last_updated': '2023-04-28T01:08:00.000Z', 'quote': {'USD': {'price': 0.9999306210901645, 'volume_24h': 3415525822.584577, 'volume_change_24h': -20.9277, 'percent_change_1h': 0.00350326, 'percent_change_24h': -0.0200378, 'percent_change_7d': 0.00924921, 'percent_change_30d': -0.02014109, 'percent_change_60d': -0.03258075, 'percent_change_90d': -0.04761633, 'market_cap': 6280516463.874965, 'market_cap_dominance': 0.5177, 'fully_diluted_market_cap': 6280516463.87, 'tvl': None, 'last_updated': '2023-04-28T01:08:00.000Z'}}}, {'id': 5994, 'name': 'Shiba Inu', 'symbol': 'SHIB', 'slug': 'shiba-inu', 'num_market_pairs': 508, 'date_added': '2020-08-01T00:00:00.000Z', 'tags': ['memes', 'ethereum-ecosystem', 'doggone-doggerel'], 'max_supply': None, 'circulating_supply': 589543832993340.1, 'total_supply': 589604810668664.4, 'platform': {'id': 1027, 'name': 'Ethereum', 'symbol': 'ETH', 'slug': 'ethereum', 'token_address': '0x95ad61b0a150d79219dcf64e1e6cc01f0b64c4ce'}, 'infinite_supply': False, 'cmc_rank': 14, 'self_reported_circulating_supply': None, 'self_reported_market_cap': None, 'tvl_ratio': None, 'last_updated': '2023-04-28T01:08:00.000Z', 'quote': {'USD': {'price': 1.028257915685864e-05, 'volume_24h': 112563076.56742297, 'volume_change_24h': -45.2023, 'percent_change_1h': 0.03265269, 'percent_change_24h': -0.46135154, 'percent_change_7d': -3.50429965, 'percent_change_30d': -1.92864639, 'percent_change_60d': -19.43189052, 'percent_change_90d': -12.86473585, 'market_cap': 6062031129.19187, 'market_cap_dominance': 0.4998, 'fully_diluted_market_cap': 6062658136.97, 'tvl': None, 'last_updated': '2023-04-28T01:08:00.000Z'}}}, {'id': 1958, 'name': 'TRON', 'symbol': 'TRX', 'slug': 'tron', 'num_market_pairs': 753, 'date_added': '2017-09-13T00:00:00.000Z', 'tags': ['media', 'payments', 'tron-ecosystem'], 'max_supply': None, 'circulating_supply': 90657026411.82715, 'total_supply': 90657037484.6916, 'infinite_supply': False, 'platform': None, 'cmc_rank': 15, 'self_reported_circulating_supply': 71659659264, 'self_reported_market_cap': 4719656557.900576, 'tvl_ratio': None, 'last_updated': '2023-04-28T01:08:00.000Z', 'quote': {'USD': {'price': 0.0658621127476057, 'volume_24h': 183570773.0655927, 'volume_change_24h': -31.8746, 'percent_change_1h': 0.09507833, 'percent_change_24h': 0.04951758, 'percent_change_7d': 0.63003962, 'percent_change_30d': 2.2558581, 'percent_change_60d': -5.15955432, 'percent_change_90d': 3.26480864, 'market_cap': 5970863294.898427, 'market_cap_dominance': 0.4923, 'fully_diluted_market_cap': 5970864024.18, 'tvl': None, 'last_updated': '2023-04-28T01:08:00.000Z'}}}]}\n"
     ]
    }
   ],
   "source": [
    "# Used coinmarketcap.com API to grab and look at data involving Crypto currency.\n",
    "# CoinMarketCap provides starter scripts in various languaged like Phyton to gain access.\n",
    "# Modified a little bit to fit this example.\n",
    "\n",
    "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':'15',\n",
    "  'convert':'USD'\n",
    "}\n",
    "headers = {\n",
    "  'Accepts': 'application/json',\n",
    "  'X-CMC_PRO_API_KEY': '78721993-d3d6-4a9b-a430-c7e9a7e4d5fb',\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",
    "  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "034a6623",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict"
      ]
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     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "type(data)"
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  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e8a17e59",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "19649ca2",
   "metadata": {
    "scrolled": true
   },
   "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>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>infinite_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>10192</td>\n",
       "      <td>2010-07-13T00:00:00.000Z</td>\n",
       "      <td>[mineable, pow, sha-256, store-of-value, state...</td>\n",
       "      <td>2.100000e+07</td>\n",
       "      <td>1.935797e+07</td>\n",
       "      <td>1.935797e+07</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>29535.618672</td>\n",
       "      <td>2.547597e+10</td>\n",
       "      <td>-23.9891</td>\n",
       "      <td>0.093858</td>\n",
       "      <td>1.275112</td>\n",
       "      <td>4.548054</td>\n",
       "      <td>8.164431</td>\n",
       "      <td>25.841035</td>\n",
       "      <td>27.615071</td>\n",
       "      <td>5.717496e+11</td>\n",
       "      <td>47.1416</td>\n",
       "      <td>6.202480e+11</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:10:12.219264+00:00</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>6792</td>\n",
       "      <td>2015-08-07T00:00:00.000Z</td>\n",
       "      <td>[pos, smart-contracts, ethereum-ecosystem, coi...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.204024e+08</td>\n",
       "      <td>1.204024e+08</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>1913.168265</td>\n",
       "      <td>1.306736e+10</td>\n",
       "      <td>-15.2448</td>\n",
       "      <td>0.168032</td>\n",
       "      <td>-0.352625</td>\n",
       "      <td>-1.758071</td>\n",
       "      <td>7.553978</td>\n",
       "      <td>17.017376</td>\n",
       "      <td>19.371663</td>\n",
       "      <td>2.303501e+11</td>\n",
       "      <td>18.9931</td>\n",
       "      <td>2.303501e+11</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:10:12.219264+00:00</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>52139</td>\n",
       "      <td>2015-02-25T00:00:00.000Z</td>\n",
       "      <td>[payments, stablecoin, asset-backed-stablecoin...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.161554e+10</td>\n",
       "      <td>8.509064e+10</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>1.000277</td>\n",
       "      <td>3.355000e+10</td>\n",
       "      <td>-26.4891</td>\n",
       "      <td>0.015096</td>\n",
       "      <td>-0.001524</td>\n",
       "      <td>0.008532</td>\n",
       "      <td>-0.027662</td>\n",
       "      <td>0.019292</td>\n",
       "      <td>0.011820</td>\n",
       "      <td>8.163817e+10</td>\n",
       "      <td>6.7307</td>\n",
       "      <td>8.511424e+10</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>1027.0</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>0xdac17f958d2ee523a2206206994597c13d831ec7</td>\n",
       "      <td>2023-04-28 01:10:12.219264+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1839</td>\n",
       "      <td>BNB</td>\n",
       "      <td>BNB</td>\n",
       "      <td>bnb</td>\n",
       "      <td>1294</td>\n",
       "      <td>2017-07-25T00:00:00.000Z</td>\n",
       "      <td>[marketplace, centralized-exchange, payments, ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.558633e+08</td>\n",
       "      <td>1.558633e+08</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>328.814904</td>\n",
       "      <td>7.261316e+08</td>\n",
       "      <td>-24.4919</td>\n",
       "      <td>-0.513017</td>\n",
       "      <td>-1.744686</td>\n",
       "      <td>3.016681</td>\n",
       "      <td>4.777278</td>\n",
       "      <td>6.827482</td>\n",
       "      <td>6.405110</td>\n",
       "      <td>5.125016e+10</td>\n",
       "      <td>4.2257</td>\n",
       "      <td>5.125016e+10</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:10:12.219264+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3408</td>\n",
       "      <td>USD Coin</td>\n",
       "      <td>USDC</td>\n",
       "      <td>usd-coin</td>\n",
       "      <td>12065</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>3.053373e+10</td>\n",
       "      <td>3.053373e+10</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>0.999888</td>\n",
       "      <td>5.175563e+09</td>\n",
       "      <td>-26.7557</td>\n",
       "      <td>0.009030</td>\n",
       "      <td>-0.021466</td>\n",
       "      <td>-0.025593</td>\n",
       "      <td>-0.030889</td>\n",
       "      <td>-0.008017</td>\n",
       "      <td>-0.007513</td>\n",
       "      <td>3.053029e+10</td>\n",
       "      <td>2.5171</td>\n",
       "      <td>3.053029e+10</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>1027.0</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48</td>\n",
       "      <td>2023-04-28 01:10:12.219264+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>52</td>\n",
       "      <td>XRP</td>\n",
       "      <td>XRP</td>\n",
       "      <td>xrp</td>\n",
       "      <td>937</td>\n",
       "      <td>2013-08-04T00:00:00.000Z</td>\n",
       "      <td>[medium-of-exchange, enterprise-solutions, arr...</td>\n",
       "      <td>1.000000e+11</td>\n",
       "      <td>5.175081e+10</td>\n",
       "      <td>9.998900e+10</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>0.466176</td>\n",
       "      <td>1.587497e+09</td>\n",
       "      <td>-2.8203</td>\n",
       "      <td>-0.063888</td>\n",
       "      <td>-0.257527</td>\n",
       "      <td>-1.809003</td>\n",
       "      <td>-10.394755</td>\n",
       "      <td>23.505326</td>\n",
       "      <td>12.561666</td>\n",
       "      <td>2.412498e+10</td>\n",
       "      <td>1.9891</td>\n",
       "      <td>4.661759e+10</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:10:12.219264+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2010</td>\n",
       "      <td>Cardano</td>\n",
       "      <td>ADA</td>\n",
       "      <td>cardano</td>\n",
       "      <td>772</td>\n",
       "      <td>2017-10-01T00:00:00.000Z</td>\n",
       "      <td>[dpos, pos, platform, research, smart-contract...</td>\n",
       "      <td>4.500000e+10</td>\n",
       "      <td>3.480009e+10</td>\n",
       "      <td>3.572784e+10</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>0.410387</td>\n",
       "      <td>3.749371e+08</td>\n",
       "      <td>-26.1708</td>\n",
       "      <td>0.050677</td>\n",
       "      <td>0.018055</td>\n",
       "      <td>1.934915</td>\n",
       "      <td>11.677638</td>\n",
       "      <td>11.959025</td>\n",
       "      <td>3.352191</td>\n",
       "      <td>1.428150e+10</td>\n",
       "      <td>1.1778</td>\n",
       "      <td>1.846741e+10</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:10:12.219264+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>74</td>\n",
       "      <td>Dogecoin</td>\n",
       "      <td>DOGE</td>\n",
       "      <td>dogecoin</td>\n",
       "      <td>696</td>\n",
       "      <td>2013-12-15T00:00:00.000Z</td>\n",
       "      <td>[mineable, pow, scrypt, medium-of-exchange, me...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.391176e+11</td>\n",
       "      <td>1.391176e+11</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>0.080264</td>\n",
       "      <td>3.978265e+08</td>\n",
       "      <td>-47.0281</td>\n",
       "      <td>0.145359</td>\n",
       "      <td>0.188078</td>\n",
       "      <td>-4.854108</td>\n",
       "      <td>8.830784</td>\n",
       "      <td>-1.831893</td>\n",
       "      <td>-8.786364</td>\n",
       "      <td>1.116608e+10</td>\n",
       "      <td>0.9208</td>\n",
       "      <td>1.116608e+10</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:10:12.219264+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3890</td>\n",
       "      <td>Polygon</td>\n",
       "      <td>MATIC</td>\n",
       "      <td>polygon</td>\n",
       "      <td>673</td>\n",
       "      <td>2019-04-28T00:00:00.000Z</td>\n",
       "      <td>[platform, enterprise-solutions, zero-knowledg...</td>\n",
       "      <td>1.000000e+10</td>\n",
       "      <td>9.249469e+09</td>\n",
       "      <td>1.000000e+10</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>1.014441</td>\n",
       "      <td>4.915280e+08</td>\n",
       "      <td>-27.5788</td>\n",
       "      <td>0.214965</td>\n",
       "      <td>0.002924</td>\n",
       "      <td>-3.720245</td>\n",
       "      <td>-6.805915</td>\n",
       "      <td>-20.073330</td>\n",
       "      <td>-12.043427</td>\n",
       "      <td>9.383042e+09</td>\n",
       "      <td>0.7736</td>\n",
       "      <td>1.014441e+10</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:10:12.219264+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>5426</td>\n",
       "      <td>Solana</td>\n",
       "      <td>SOL</td>\n",
       "      <td>solana</td>\n",
       "      <td>457</td>\n",
       "      <td>2020-04-10T00:00:00.000Z</td>\n",
       "      <td>[pos, platform, solana-ecosystem, cms-holdings...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.928948e+08</td>\n",
       "      <td>5.393127e+08</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>22.595498</td>\n",
       "      <td>4.563547e+08</td>\n",
       "      <td>-38.6538</td>\n",
       "      <td>1.155712</td>\n",
       "      <td>2.869163</td>\n",
       "      <td>1.416444</td>\n",
       "      <td>9.726127</td>\n",
       "      <td>-2.072686</td>\n",
       "      <td>-8.369814</td>\n",
       "      <td>8.877654e+09</td>\n",
       "      <td>0.7320</td>\n",
       "      <td>1.218604e+10</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:10:12.219264+00:00</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>498</td>\n",
       "      <td>2020-08-19T00:00:00.000Z</td>\n",
       "      <td>[substrate, polkadot, binance-chain, polkadot-...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.178075e+09</td>\n",
       "      <td>1.307554e+09</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>5.973604</td>\n",
       "      <td>1.679276e+08</td>\n",
       "      <td>-36.2863</td>\n",
       "      <td>0.026941</td>\n",
       "      <td>-0.365459</td>\n",
       "      <td>-2.909707</td>\n",
       "      <td>-1.635064</td>\n",
       "      <td>-10.310242</td>\n",
       "      <td>-9.977982</td>\n",
       "      <td>7.037354e+09</td>\n",
       "      <td>0.5802</td>\n",
       "      <td>7.810810e+09</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:10:12.219264+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2</td>\n",
       "      <td>Litecoin</td>\n",
       "      <td>LTC</td>\n",
       "      <td>litecoin</td>\n",
       "      <td>908</td>\n",
       "      <td>2013-04-28T00:00:00.000Z</td>\n",
       "      <td>[mineable, pow, scrypt, medium-of-exchange]</td>\n",
       "      <td>8.400000e+07</td>\n",
       "      <td>7.279986e+07</td>\n",
       "      <td>8.400000e+07</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>89.730092</td>\n",
       "      <td>5.190672e+08</td>\n",
       "      <td>-38.7703</td>\n",
       "      <td>0.012699</td>\n",
       "      <td>-0.396269</td>\n",
       "      <td>-0.863714</td>\n",
       "      <td>0.524434</td>\n",
       "      <td>-5.296654</td>\n",
       "      <td>0.922388</td>\n",
       "      <td>6.532339e+09</td>\n",
       "      <td>0.5387</td>\n",
       "      <td>7.537328e+09</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:10:12.219264+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4687</td>\n",
       "      <td>Binance USD</td>\n",
       "      <td>BUSD</td>\n",
       "      <td>binance-usd</td>\n",
       "      <td>6669</td>\n",
       "      <td>2019-09-20T00:00:00.000Z</td>\n",
       "      <td>[stablecoin, asset-backed-stablecoin, binance-...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.280952e+09</td>\n",
       "      <td>6.280952e+09</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>0.999931</td>\n",
       "      <td>3.415526e+09</td>\n",
       "      <td>-20.9277</td>\n",
       "      <td>0.003503</td>\n",
       "      <td>-0.020038</td>\n",
       "      <td>0.009249</td>\n",
       "      <td>-0.020141</td>\n",
       "      <td>-0.032581</td>\n",
       "      <td>-0.047616</td>\n",
       "      <td>6.280516e+09</td>\n",
       "      <td>0.5177</td>\n",
       "      <td>6.280516e+09</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>1839.0</td>\n",
       "      <td>BNB</td>\n",
       "      <td>BNB</td>\n",
       "      <td>bnb</td>\n",
       "      <td>BUSD-BD1</td>\n",
       "      <td>2023-04-28 01:10:12.219264+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5994</td>\n",
       "      <td>Shiba Inu</td>\n",
       "      <td>SHIB</td>\n",
       "      <td>shiba-inu</td>\n",
       "      <td>508</td>\n",
       "      <td>2020-08-01T00:00:00.000Z</td>\n",
       "      <td>[memes, ethereum-ecosystem, doggone-doggerel]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.895438e+14</td>\n",
       "      <td>5.896048e+14</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>1.125631e+08</td>\n",
       "      <td>-45.2023</td>\n",
       "      <td>0.032653</td>\n",
       "      <td>-0.461352</td>\n",
       "      <td>-3.504300</td>\n",
       "      <td>-1.928646</td>\n",
       "      <td>-19.431891</td>\n",
       "      <td>-12.864736</td>\n",
       "      <td>6.062031e+09</td>\n",
       "      <td>0.4998</td>\n",
       "      <td>6.062658e+09</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>1027.0</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>0x95ad61b0a150d79219dcf64e1e6cc01f0b64c4ce</td>\n",
       "      <td>2023-04-28 01:10:12.219264+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1958</td>\n",
       "      <td>TRON</td>\n",
       "      <td>TRX</td>\n",
       "      <td>tron</td>\n",
       "      <td>753</td>\n",
       "      <td>2017-09-13T00:00:00.000Z</td>\n",
       "      <td>[media, payments, tron-ecosystem]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.065703e+10</td>\n",
       "      <td>9.065704e+10</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15</td>\n",
       "      <td>7.165966e+10</td>\n",
       "      <td>4.719657e+09</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>0.065862</td>\n",
       "      <td>1.835708e+08</td>\n",
       "      <td>-31.8746</td>\n",
       "      <td>0.095078</td>\n",
       "      <td>0.049518</td>\n",
       "      <td>0.630040</td>\n",
       "      <td>2.255858</td>\n",
       "      <td>-5.159554</td>\n",
       "      <td>3.264809</td>\n",
       "      <td>5.970863e+09</td>\n",
       "      <td>0.4923</td>\n",
       "      <td>5.970864e+09</td>\n",
       "      <td>None</td>\n",
       "      <td>2023-04-28T01:08:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:10:12.219264+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      id         name symbol          slug  num_market_pairs  \\\n",
       "0      1      Bitcoin    BTC       bitcoin             10192   \n",
       "1   1027     Ethereum    ETH      ethereum              6792   \n",
       "2    825       Tether   USDT        tether             52139   \n",
       "3   1839          BNB    BNB           bnb              1294   \n",
       "4   3408     USD Coin   USDC      usd-coin             12065   \n",
       "5     52          XRP    XRP           xrp               937   \n",
       "6   2010      Cardano    ADA       cardano               772   \n",
       "7     74     Dogecoin   DOGE      dogecoin               696   \n",
       "8   3890      Polygon  MATIC       polygon               673   \n",
       "9   5426       Solana    SOL        solana               457   \n",
       "10  6636     Polkadot    DOT  polkadot-new               498   \n",
       "11     2     Litecoin    LTC      litecoin               908   \n",
       "12  4687  Binance USD   BUSD   binance-usd              6669   \n",
       "13  5994    Shiba Inu   SHIB     shiba-inu               508   \n",
       "14  1958         TRON    TRX          tron               753   \n",
       "\n",
       "                  date_added  \\\n",
       "0   2010-07-13T00:00:00.000Z   \n",
       "1   2015-08-07T00:00:00.000Z   \n",
       "2   2015-02-25T00:00:00.000Z   \n",
       "3   2017-07-25T00:00:00.000Z   \n",
       "4   2018-10-08T00:00:00.000Z   \n",
       "5   2013-08-04T00:00:00.000Z   \n",
       "6   2017-10-01T00:00:00.000Z   \n",
       "7   2013-12-15T00:00:00.000Z   \n",
       "8   2019-04-28T00:00:00.000Z   \n",
       "9   2020-04-10T00:00:00.000Z   \n",
       "10  2020-08-19T00:00:00.000Z   \n",
       "11  2013-04-28T00:00:00.000Z   \n",
       "12  2019-09-20T00:00:00.000Z   \n",
       "13  2020-08-01T00:00:00.000Z   \n",
       "14  2017-09-13T00:00:00.000Z   \n",
       "\n",
       "                                                 tags    max_supply  \\\n",
       "0   [mineable, pow, sha-256, store-of-value, state...  2.100000e+07   \n",
       "1   [pos, smart-contracts, ethereum-ecosystem, coi...           NaN   \n",
       "2   [payments, stablecoin, asset-backed-stablecoin...           NaN   \n",
       "3   [marketplace, centralized-exchange, payments, ...           NaN   \n",
       "4   [medium-of-exchange, stablecoin, asset-backed-...           NaN   \n",
       "5   [medium-of-exchange, enterprise-solutions, arr...  1.000000e+11   \n",
       "6   [dpos, pos, platform, research, smart-contract...  4.500000e+10   \n",
       "7   [mineable, pow, scrypt, medium-of-exchange, me...           NaN   \n",
       "8   [platform, enterprise-solutions, zero-knowledg...  1.000000e+10   \n",
       "9   [pos, platform, solana-ecosystem, cms-holdings...           NaN   \n",
       "10  [substrate, polkadot, binance-chain, polkadot-...           NaN   \n",
       "11        [mineable, pow, scrypt, medium-of-exchange]  8.400000e+07   \n",
       "12  [stablecoin, asset-backed-stablecoin, binance-...           NaN   \n",
       "13      [memes, ethereum-ecosystem, doggone-doggerel]           NaN   \n",
       "14                  [media, payments, tron-ecosystem]           NaN   \n",
       "\n",
       "    circulating_supply  total_supply  infinite_supply  platform  cmc_rank  \\\n",
       "0         1.935797e+07  1.935797e+07            False       NaN         1   \n",
       "1         1.204024e+08  1.204024e+08            False       NaN         2   \n",
       "2         8.161554e+10  8.509064e+10            False       NaN         3   \n",
       "3         1.558633e+08  1.558633e+08            False       NaN         4   \n",
       "4         3.053373e+10  3.053373e+10            False       NaN         5   \n",
       "5         5.175081e+10  9.998900e+10            False       NaN         6   \n",
       "6         3.480009e+10  3.572784e+10            False       NaN         7   \n",
       "7         1.391176e+11  1.391176e+11            False       NaN         8   \n",
       "8         9.249469e+09  1.000000e+10            False       NaN         9   \n",
       "9         3.928948e+08  5.393127e+08            False       NaN        10   \n",
       "10        1.178075e+09  1.307554e+09            False       NaN        11   \n",
       "11        7.279986e+07  8.400000e+07            False       NaN        12   \n",
       "12        6.280952e+09  6.280952e+09            False       NaN        13   \n",
       "13        5.895438e+14  5.896048e+14            False       NaN        14   \n",
       "14        9.065703e+10  9.065704e+10            False       NaN        15   \n",
       "\n",
       "    self_reported_circulating_supply  self_reported_market_cap tvl_ratio  \\\n",
       "0                                NaN                       NaN      None   \n",
       "1                                NaN                       NaN      None   \n",
       "2                                NaN                       NaN      None   \n",
       "3                                NaN                       NaN      None   \n",
       "4                                NaN                       NaN      None   \n",
       "5                                NaN                       NaN      None   \n",
       "6                                NaN                       NaN      None   \n",
       "7                                NaN                       NaN      None   \n",
       "8                                NaN                       NaN      None   \n",
       "9                                NaN                       NaN      None   \n",
       "10                               NaN                       NaN      None   \n",
       "11                               NaN                       NaN      None   \n",
       "12                               NaN                       NaN      None   \n",
       "13                               NaN                       NaN      None   \n",
       "14                      7.165966e+10              4.719657e+09      None   \n",
       "\n",
       "                last_updated  quote.USD.price  quote.USD.volume_24h  \\\n",
       "0   2023-04-28T01:08:00.000Z     29535.618672          2.547597e+10   \n",
       "1   2023-04-28T01:08:00.000Z      1913.168265          1.306736e+10   \n",
       "2   2023-04-28T01:08:00.000Z         1.000277          3.355000e+10   \n",
       "3   2023-04-28T01:08:00.000Z       328.814904          7.261316e+08   \n",
       "4   2023-04-28T01:08:00.000Z         0.999888          5.175563e+09   \n",
       "5   2023-04-28T01:08:00.000Z         0.466176          1.587497e+09   \n",
       "6   2023-04-28T01:08:00.000Z         0.410387          3.749371e+08   \n",
       "7   2023-04-28T01:08:00.000Z         0.080264          3.978265e+08   \n",
       "8   2023-04-28T01:08:00.000Z         1.014441          4.915280e+08   \n",
       "9   2023-04-28T01:08:00.000Z        22.595498          4.563547e+08   \n",
       "10  2023-04-28T01:08:00.000Z         5.973604          1.679276e+08   \n",
       "11  2023-04-28T01:08:00.000Z        89.730092          5.190672e+08   \n",
       "12  2023-04-28T01:08:00.000Z         0.999931          3.415526e+09   \n",
       "13  2023-04-28T01:08:00.000Z         0.000010          1.125631e+08   \n",
       "14  2023-04-28T01:08:00.000Z         0.065862          1.835708e+08   \n",
       "\n",
       "    quote.USD.volume_change_24h  quote.USD.percent_change_1h  \\\n",
       "0                      -23.9891                     0.093858   \n",
       "1                      -15.2448                     0.168032   \n",
       "2                      -26.4891                     0.015096   \n",
       "3                      -24.4919                    -0.513017   \n",
       "4                      -26.7557                     0.009030   \n",
       "5                       -2.8203                    -0.063888   \n",
       "6                      -26.1708                     0.050677   \n",
       "7                      -47.0281                     0.145359   \n",
       "8                      -27.5788                     0.214965   \n",
       "9                      -38.6538                     1.155712   \n",
       "10                     -36.2863                     0.026941   \n",
       "11                     -38.7703                     0.012699   \n",
       "12                     -20.9277                     0.003503   \n",
       "13                     -45.2023                     0.032653   \n",
       "14                     -31.8746                     0.095078   \n",
       "\n",
       "    quote.USD.percent_change_24h  quote.USD.percent_change_7d  \\\n",
       "0                       1.275112                     4.548054   \n",
       "1                      -0.352625                    -1.758071   \n",
       "2                      -0.001524                     0.008532   \n",
       "3                      -1.744686                     3.016681   \n",
       "4                      -0.021466                    -0.025593   \n",
       "5                      -0.257527                    -1.809003   \n",
       "6                       0.018055                     1.934915   \n",
       "7                       0.188078                    -4.854108   \n",
       "8                       0.002924                    -3.720245   \n",
       "9                       2.869163                     1.416444   \n",
       "10                     -0.365459                    -2.909707   \n",
       "11                     -0.396269                    -0.863714   \n",
       "12                     -0.020038                     0.009249   \n",
       "13                     -0.461352                    -3.504300   \n",
       "14                      0.049518                     0.630040   \n",
       "\n",
       "    quote.USD.percent_change_30d  quote.USD.percent_change_60d  \\\n",
       "0                       8.164431                     25.841035   \n",
       "1                       7.553978                     17.017376   \n",
       "2                      -0.027662                      0.019292   \n",
       "3                       4.777278                      6.827482   \n",
       "4                      -0.030889                     -0.008017   \n",
       "5                     -10.394755                     23.505326   \n",
       "6                      11.677638                     11.959025   \n",
       "7                       8.830784                     -1.831893   \n",
       "8                      -6.805915                    -20.073330   \n",
       "9                       9.726127                     -2.072686   \n",
       "10                     -1.635064                    -10.310242   \n",
       "11                      0.524434                     -5.296654   \n",
       "12                     -0.020141                     -0.032581   \n",
       "13                     -1.928646                    -19.431891   \n",
       "14                      2.255858                     -5.159554   \n",
       "\n",
       "    quote.USD.percent_change_90d  quote.USD.market_cap  \\\n",
       "0                      27.615071          5.717496e+11   \n",
       "1                      19.371663          2.303501e+11   \n",
       "2                       0.011820          8.163817e+10   \n",
       "3                       6.405110          5.125016e+10   \n",
       "4                      -0.007513          3.053029e+10   \n",
       "5                      12.561666          2.412498e+10   \n",
       "6                       3.352191          1.428150e+10   \n",
       "7                      -8.786364          1.116608e+10   \n",
       "8                     -12.043427          9.383042e+09   \n",
       "9                      -8.369814          8.877654e+09   \n",
       "10                     -9.977982          7.037354e+09   \n",
       "11                      0.922388          6.532339e+09   \n",
       "12                     -0.047616          6.280516e+09   \n",
       "13                    -12.864736          6.062031e+09   \n",
       "14                      3.264809          5.970863e+09   \n",
       "\n",
       "    quote.USD.market_cap_dominance  quote.USD.fully_diluted_market_cap  \\\n",
       "0                          47.1416                        6.202480e+11   \n",
       "1                          18.9931                        2.303501e+11   \n",
       "2                           6.7307                        8.511424e+10   \n",
       "3                           4.2257                        5.125016e+10   \n",
       "4                           2.5171                        3.053029e+10   \n",
       "5                           1.9891                        4.661759e+10   \n",
       "6                           1.1778                        1.846741e+10   \n",
       "7                           0.9208                        1.116608e+10   \n",
       "8                           0.7736                        1.014441e+10   \n",
       "9                           0.7320                        1.218604e+10   \n",
       "10                          0.5802                        7.810810e+09   \n",
       "11                          0.5387                        7.537328e+09   \n",
       "12                          0.5177                        6.280516e+09   \n",
       "13                          0.4998                        6.062658e+09   \n",
       "14                          0.4923                        5.970864e+09   \n",
       "\n",
       "   quote.USD.tvl    quote.USD.last_updated  platform.id platform.name  \\\n",
       "0           None  2023-04-28T01:08:00.000Z          NaN           NaN   \n",
       "1           None  2023-04-28T01:08:00.000Z          NaN           NaN   \n",
       "2           None  2023-04-28T01:08:00.000Z       1027.0      Ethereum   \n",
       "3           None  2023-04-28T01:08:00.000Z          NaN           NaN   \n",
       "4           None  2023-04-28T01:08:00.000Z       1027.0      Ethereum   \n",
       "5           None  2023-04-28T01:08:00.000Z          NaN           NaN   \n",
       "6           None  2023-04-28T01:08:00.000Z          NaN           NaN   \n",
       "7           None  2023-04-28T01:08:00.000Z          NaN           NaN   \n",
       "8           None  2023-04-28T01:08:00.000Z          NaN           NaN   \n",
       "9           None  2023-04-28T01:08:00.000Z          NaN           NaN   \n",
       "10          None  2023-04-28T01:08:00.000Z          NaN           NaN   \n",
       "11          None  2023-04-28T01:08:00.000Z          NaN           NaN   \n",
       "12          None  2023-04-28T01:08:00.000Z       1839.0           BNB   \n",
       "13          None  2023-04-28T01:08:00.000Z       1027.0      Ethereum   \n",
       "14          None  2023-04-28T01:08:00.000Z          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              NaN           NaN                                         NaN   \n",
       "4              ETH      ethereum  0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48   \n",
       "5              NaN           NaN                                         NaN   \n",
       "6              NaN           NaN                                         NaN   \n",
       "7              NaN           NaN                                         NaN   \n",
       "8              NaN           NaN                                         NaN   \n",
       "9              NaN           NaN                                         NaN   \n",
       "10             NaN           NaN                                         NaN   \n",
       "11             NaN           NaN                                         NaN   \n",
       "12             BNB           bnb                                    BUSD-BD1   \n",
       "13             ETH      ethereum  0x95ad61b0a150d79219dcf64e1e6cc01f0b64c4ce   \n",
       "14             NaN           NaN                                         NaN   \n",
       "\n",
       "                          timestamp  \n",
       "0  2023-04-28 01:10:12.219264+00:00  \n",
       "1  2023-04-28 01:10:12.219264+00:00  \n",
       "2  2023-04-28 01:10:12.219264+00:00  \n",
       "3  2023-04-28 01:10:12.219264+00:00  \n",
       "4  2023-04-28 01:10:12.219264+00:00  \n",
       "5  2023-04-28 01:10:12.219264+00:00  \n",
       "6  2023-04-28 01:10:12.219264+00:00  \n",
       "7  2023-04-28 01:10:12.219264+00:00  \n",
       "8  2023-04-28 01:10:12.219264+00:00  \n",
       "9  2023-04-28 01:10:12.219264+00:00  \n",
       "10 2023-04-28 01:10:12.219264+00:00  \n",
       "11 2023-04-28 01:10:12.219264+00:00  \n",
       "12 2023-04-28 01:10:12.219264+00:00  \n",
       "13 2023-04-28 01:10:12.219264+00:00  \n",
       "14 2023-04-28 01:10:12.219264+00:00  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Data came in successfully, but it is in one big clump in a JSON and a Dictionary format.\n",
    "# Making it more readible here within a data frame.\n",
    "\n",
    "df = pd.json_normalize(data['data'])\n",
    "df['timestamp'] = pd.to_datetime('now', utc=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3f1c5e24",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to automatically keep making calls out to the API, and fetching the latest set of data,\n",
    "\n",
    "def api_runner():\n",
    "    global df\n",
    "    url = 'https://pro-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': '78721993-d3d6-4a9b-a430-c7e9a7e4d5fb',\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",
    "    except (ConnectionError, Timeout, TooManyRedirects) as e:\n",
    "      print(e)\n",
    "    \n",
    "    df = pd.json_normalize(data['data'])\n",
    "    df['timestamp'] = pd.to_datetime('now', utc=True)\n",
    "    \n",
    "    # To bring data in and appending it to the existing data frame.\n",
    "    \n",
    "    #df_append = pd.DataFrame(df2)\n",
    "    #df = pd.concat([df,df_append])\n",
    "    df\n",
    "    \n",
    "    # To send the data brought in to a CSV file.\n",
    "    \n",
    "    if not os.path.isfile(r'C:\\Users\\user\\API.csv'): #if the file does not yet exist\n",
    "        df.to_csv(r'C:\\Users\\user\\API.csv', header='column_names')\n",
    "    else: #appending to the existing file instead\n",
    "        df.to_csv(r'C:\\Users\\user\\API.csv', mode='a', header=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a80136a7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "API Runner completed\n",
      "API Runner completed\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[9], line 11\u001b[0m\n\u001b[0;32m      9\u001b[0m     api_runner()\n\u001b[0;32m     10\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[1;32m---> 11\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[0;32m     12\u001b[0m exit()\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "# Automating process of running the script\n",
    "\n",
    "import os \n",
    "from time import time\n",
    "from time import sleep\n",
    "\n",
    "# CoinMarketCap allows 333 API calls a day so.\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": 15,
   "id": "6494632d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reading back in the CSV file that was created on my local computer.\n",
    "# It has two sets of data from it running twice before I terminated the program,\n",
    "# hence the two \"API Runner completed\" statements above.\n",
    "\n",
    "df_csv = pd.read_csv(r'C:\\Users\\user\\API.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "34a90da2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Will practice a little bit of data cleaning, removing the scientific notation from columns\n",
    "# of the CSV file brought in.\n",
    "pd.set_option('display.float_format', lambda x: '% 5f' % x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "78388f05",
   "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>Unnamed: 0</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>infinite_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>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>BTC</td>\n",
       "      <td>bitcoin</td>\n",
       "      <td>10192</td>\n",
       "      <td>2010-07-13T00:00:00.000Z</td>\n",
       "      <td>['mineable', 'pow', 'sha-256', 'store-of-value...</td>\n",
       "      <td>21000000.000000</td>\n",
       "      <td>19357968.000000</td>\n",
       "      <td>19357968.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>29506.796886</td>\n",
       "      <td>25466308464.086521</td>\n",
       "      <td>-24.055200</td>\n",
       "      <td>0.058513</td>\n",
       "      <td>1.292921</td>\n",
       "      <td>4.567623</td>\n",
       "      <td>8.100760</td>\n",
       "      <td>25.728075</td>\n",
       "      <td>27.530662</td>\n",
       "      <td>571191629911.311646</td>\n",
       "      <td>47.130300</td>\n",
       "      <td>619642734616.439941</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1027</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>6792</td>\n",
       "      <td>2015-08-07T00:00:00.000Z</td>\n",
       "      <td>['pos', 'smart-contracts', 'ethereum-ecosystem...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>120402439.830906</td>\n",
       "      <td>120402439.830906</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>1911.070093</td>\n",
       "      <td>13044724063.895599</td>\n",
       "      <td>-15.473300</td>\n",
       "      <td>0.095254</td>\n",
       "      <td>-0.477470</td>\n",
       "      <td>-1.713539</td>\n",
       "      <td>7.477595</td>\n",
       "      <td>16.917645</td>\n",
       "      <td>19.346157</td>\n",
       "      <td>230097501828.256409</td>\n",
       "      <td>18.981700</td>\n",
       "      <td>230097501828.260010</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>825</td>\n",
       "      <td>Tether</td>\n",
       "      <td>USDT</td>\n",
       "      <td>tether</td>\n",
       "      <td>52140</td>\n",
       "      <td>2015-02-25T00:00:00.000Z</td>\n",
       "      <td>['payments', 'stablecoin', 'asset-backed-stabl...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81615536097.752090</td>\n",
       "      <td>85090638896.270859</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>1.000388</td>\n",
       "      <td>33538159474.227360</td>\n",
       "      <td>-26.542600</td>\n",
       "      <td>0.010438</td>\n",
       "      <td>0.034796</td>\n",
       "      <td>0.027791</td>\n",
       "      <td>0.007119</td>\n",
       "      <td>0.029825</td>\n",
       "      <td>0.024456</td>\n",
       "      <td>81647195865.730621</td>\n",
       "      <td>6.734100</td>\n",
       "      <td>85123646703.529999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>1027.000000</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>0xdac17f958d2ee523a2206206994597c13d831ec7</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>1839</td>\n",
       "      <td>BNB</td>\n",
       "      <td>BNB</td>\n",
       "      <td>bnb</td>\n",
       "      <td>1294</td>\n",
       "      <td>2017-07-25T00:00:00.000Z</td>\n",
       "      <td>['marketplace', 'centralized-exchange', 'payme...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>155863259.817313</td>\n",
       "      <td>155863259.817313</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>328.413872</td>\n",
       "      <td>727210374.806210</td>\n",
       "      <td>-24.312500</td>\n",
       "      <td>-0.704347</td>\n",
       "      <td>-1.879310</td>\n",
       "      <td>3.053771</td>\n",
       "      <td>4.654638</td>\n",
       "      <td>6.676706</td>\n",
       "      <td>6.352007</td>\n",
       "      <td>51187656656.407417</td>\n",
       "      <td>4.222700</td>\n",
       "      <td>51187656656.410004</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>3408</td>\n",
       "      <td>USD Coin</td>\n",
       "      <td>USDC</td>\n",
       "      <td>usd-coin</td>\n",
       "      <td>12065</td>\n",
       "      <td>2018-10-08T00:00:00.000Z</td>\n",
       "      <td>['medium-of-exchange', 'stablecoin', 'asset-ba...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30533726557.887390</td>\n",
       "      <td>30533726557.887390</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>0.999997</td>\n",
       "      <td>5171438693.055389</td>\n",
       "      <td>-26.878400</td>\n",
       "      <td>0.004218</td>\n",
       "      <td>0.014747</td>\n",
       "      <td>-0.004301</td>\n",
       "      <td>0.009770</td>\n",
       "      <td>0.006679</td>\n",
       "      <td>-0.001449</td>\n",
       "      <td>30533622041.733067</td>\n",
       "      <td>2.518300</td>\n",
       "      <td>30533622041.730000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>1027.000000</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>52</td>\n",
       "      <td>XRP</td>\n",
       "      <td>XRP</td>\n",
       "      <td>xrp</td>\n",
       "      <td>937</td>\n",
       "      <td>2013-08-04T00:00:00.000Z</td>\n",
       "      <td>['medium-of-exchange', 'enterprise-solutions',...</td>\n",
       "      <td>100000000000.000000</td>\n",
       "      <td>51750810378.000000</td>\n",
       "      <td>99988998998.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>0.466048</td>\n",
       "      <td>1585765532.955254</td>\n",
       "      <td>-2.970400</td>\n",
       "      <td>-0.134230</td>\n",
       "      <td>-0.296868</td>\n",
       "      <td>-1.681885</td>\n",
       "      <td>-10.330474</td>\n",
       "      <td>23.494091</td>\n",
       "      <td>12.641648</td>\n",
       "      <td>24118362162.314011</td>\n",
       "      <td>1.988600</td>\n",
       "      <td>46604800941.570000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>2010</td>\n",
       "      <td>Cardano</td>\n",
       "      <td>ADA</td>\n",
       "      <td>cardano</td>\n",
       "      <td>772</td>\n",
       "      <td>2017-10-01T00:00:00.000Z</td>\n",
       "      <td>['dpos', 'pos', 'platform', 'research', 'smart...</td>\n",
       "      <td>45000000000.000000</td>\n",
       "      <td>34800090009.614998</td>\n",
       "      <td>35727842284.508003</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>0.410192</td>\n",
       "      <td>374702723.807436</td>\n",
       "      <td>-26.219100</td>\n",
       "      <td>-0.108566</td>\n",
       "      <td>0.035448</td>\n",
       "      <td>2.087348</td>\n",
       "      <td>11.637594</td>\n",
       "      <td>11.963655</td>\n",
       "      <td>3.432434</td>\n",
       "      <td>14274701988.937868</td>\n",
       "      <td>1.177200</td>\n",
       "      <td>18458618622.099998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>74</td>\n",
       "      <td>Dogecoin</td>\n",
       "      <td>DOGE</td>\n",
       "      <td>dogecoin</td>\n",
       "      <td>696</td>\n",
       "      <td>2013-12-15T00:00:00.000Z</td>\n",
       "      <td>['mineable', 'pow', 'scrypt', 'medium-of-excha...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>139117606383.705200</td>\n",
       "      <td>139117606383.705200</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>0.080235</td>\n",
       "      <td>397595568.301315</td>\n",
       "      <td>-47.048500</td>\n",
       "      <td>0.025566</td>\n",
       "      <td>0.170371</td>\n",
       "      <td>-4.582037</td>\n",
       "      <td>8.790896</td>\n",
       "      <td>-1.848901</td>\n",
       "      <td>-8.664337</td>\n",
       "      <td>11162082164.560816</td>\n",
       "      <td>0.920500</td>\n",
       "      <td>11162082164.559999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>3890</td>\n",
       "      <td>Polygon</td>\n",
       "      <td>MATIC</td>\n",
       "      <td>polygon</td>\n",
       "      <td>673</td>\n",
       "      <td>2019-04-28T00:00:00.000Z</td>\n",
       "      <td>['platform', 'enterprise-solutions', 'zero-kno...</td>\n",
       "      <td>10000000000.000000</td>\n",
       "      <td>9249469069.284929</td>\n",
       "      <td>10000000000.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>1.014176</td>\n",
       "      <td>493114809.871684</td>\n",
       "      <td>-27.487900</td>\n",
       "      <td>0.111692</td>\n",
       "      <td>0.077871</td>\n",
       "      <td>-3.609515</td>\n",
       "      <td>-6.829236</td>\n",
       "      <td>-20.080590</td>\n",
       "      <td>-11.909141</td>\n",
       "      <td>9380585460.931765</td>\n",
       "      <td>0.774000</td>\n",
       "      <td>10141755586.900000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>5426</td>\n",
       "      <td>Solana</td>\n",
       "      <td>SOL</td>\n",
       "      <td>solana</td>\n",
       "      <td>457</td>\n",
       "      <td>2020-04-10T00:00:00.000Z</td>\n",
       "      <td>['pos', 'platform', 'solana-ecosystem', 'cms-h...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>392894815.607193</td>\n",
       "      <td>539312704.887534</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>22.584120</td>\n",
       "      <td>457125979.947695</td>\n",
       "      <td>-38.610200</td>\n",
       "      <td>0.827657</td>\n",
       "      <td>2.872215</td>\n",
       "      <td>1.602596</td>\n",
       "      <td>9.526555</td>\n",
       "      <td>-2.033064</td>\n",
       "      <td>-8.285655</td>\n",
       "      <td>8873183718.673992</td>\n",
       "      <td>0.732100</td>\n",
       "      <td>12179902921.059999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>6636</td>\n",
       "      <td>Polkadot</td>\n",
       "      <td>DOT</td>\n",
       "      <td>polkadot-new</td>\n",
       "      <td>498</td>\n",
       "      <td>2020-08-19T00:00:00.000Z</td>\n",
       "      <td>['substrate', 'polkadot', 'binance-chain', 'po...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1178075036.880687</td>\n",
       "      <td>1307553914.185867</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>5.969939</td>\n",
       "      <td>167830818.400800</td>\n",
       "      <td>-36.369200</td>\n",
       "      <td>-0.125949</td>\n",
       "      <td>-0.367636</td>\n",
       "      <td>-2.784598</td>\n",
       "      <td>-1.700566</td>\n",
       "      <td>-10.341661</td>\n",
       "      <td>-9.878868</td>\n",
       "      <td>7033036295.994258</td>\n",
       "      <td>0.580300</td>\n",
       "      <td>7806017316.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>Litecoin</td>\n",
       "      <td>LTC</td>\n",
       "      <td>litecoin</td>\n",
       "      <td>908</td>\n",
       "      <td>2013-04-28T00:00:00.000Z</td>\n",
       "      <td>['mineable', 'pow', 'scrypt', 'medium-of-excha...</td>\n",
       "      <td>84000000.000000</td>\n",
       "      <td>72799864.320805</td>\n",
       "      <td>84000000.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>89.676575</td>\n",
       "      <td>518575785.926220</td>\n",
       "      <td>-38.867200</td>\n",
       "      <td>-0.110465</td>\n",
       "      <td>-0.430383</td>\n",
       "      <td>-0.776926</td>\n",
       "      <td>0.498966</td>\n",
       "      <td>-5.318614</td>\n",
       "      <td>0.924612</td>\n",
       "      <td>6528442491.540478</td>\n",
       "      <td>0.538400</td>\n",
       "      <td>7532832298.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>4687</td>\n",
       "      <td>Binance USD</td>\n",
       "      <td>BUSD</td>\n",
       "      <td>binance-usd</td>\n",
       "      <td>6669</td>\n",
       "      <td>2019-09-20T00:00:00.000Z</td>\n",
       "      <td>['stablecoin', 'asset-backed-stablecoin', 'bin...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6280952229.493376</td>\n",
       "      <td>6280952229.493376</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>0.999875</td>\n",
       "      <td>3416102706.394595</td>\n",
       "      <td>-21.053500</td>\n",
       "      <td>-0.013367</td>\n",
       "      <td>-0.004625</td>\n",
       "      <td>0.005804</td>\n",
       "      <td>-0.033183</td>\n",
       "      <td>-0.035680</td>\n",
       "      <td>-0.043221</td>\n",
       "      <td>6280169358.290792</td>\n",
       "      <td>0.517900</td>\n",
       "      <td>6280169358.290000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>1839.000000</td>\n",
       "      <td>BNB</td>\n",
       "      <td>BNB</td>\n",
       "      <td>bnb</td>\n",
       "      <td>BUSD-BD1</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>5994</td>\n",
       "      <td>Shiba Inu</td>\n",
       "      <td>SHIB</td>\n",
       "      <td>shiba-inu</td>\n",
       "      <td>508</td>\n",
       "      <td>2020-08-01T00:00:00.000Z</td>\n",
       "      <td>['memes', 'ethereum-ecosystem', 'doggone-dogge...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>589543832993340.125000</td>\n",
       "      <td>589604810668664.375000</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>112464201.518790</td>\n",
       "      <td>-45.243700</td>\n",
       "      <td>-0.088918</td>\n",
       "      <td>-0.501645</td>\n",
       "      <td>-3.407074</td>\n",
       "      <td>-1.980722</td>\n",
       "      <td>-19.467642</td>\n",
       "      <td>-12.824911</td>\n",
       "      <td>6059344356.270708</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>6059971086.150000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>1027.000000</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>0x95ad61b0a150d79219dcf64e1e6cc01f0b64c4ce</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>1958</td>\n",
       "      <td>TRON</td>\n",
       "      <td>TRX</td>\n",
       "      <td>tron</td>\n",
       "      <td>753</td>\n",
       "      <td>2017-09-13T00:00:00.000Z</td>\n",
       "      <td>['media', 'payments', 'tron-ecosystem']</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90657026411.827164</td>\n",
       "      <td>90657037484.691605</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15</td>\n",
       "      <td>71659659264.000000</td>\n",
       "      <td>4718953875.782639</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>0.065852</td>\n",
       "      <td>183541144.464155</td>\n",
       "      <td>-32.047700</td>\n",
       "      <td>0.075820</td>\n",
       "      <td>0.106616</td>\n",
       "      <td>0.679183</td>\n",
       "      <td>2.202890</td>\n",
       "      <td>-5.095414</td>\n",
       "      <td>3.350478</td>\n",
       "      <td>5969974327.912272</td>\n",
       "      <td>0.492600</td>\n",
       "      <td>5969975057.090000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>BTC</td>\n",
       "      <td>bitcoin</td>\n",
       "      <td>10192</td>\n",
       "      <td>2010-07-13T00:00:00.000Z</td>\n",
       "      <td>['mineable', 'pow', 'sha-256', 'store-of-value...</td>\n",
       "      <td>21000000.000000</td>\n",
       "      <td>19357968.000000</td>\n",
       "      <td>19357968.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>29496.268213</td>\n",
       "      <td>25455688489.068325</td>\n",
       "      <td>-24.152500</td>\n",
       "      <td>0.072494</td>\n",
       "      <td>1.233326</td>\n",
       "      <td>4.510477</td>\n",
       "      <td>7.917959</td>\n",
       "      <td>25.678910</td>\n",
       "      <td>27.471945</td>\n",
       "      <td>570987816185.553833</td>\n",
       "      <td>47.113500</td>\n",
       "      <td>619421632471.790039</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>1027</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>6792</td>\n",
       "      <td>2015-08-07T00:00:00.000Z</td>\n",
       "      <td>['pos', 'smart-contracts', 'ethereum-ecosystem...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>120402439.830906</td>\n",
       "      <td>120402439.830906</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>1910.235857</td>\n",
       "      <td>13042085754.487860</td>\n",
       "      <td>-15.551300</td>\n",
       "      <td>0.093072</td>\n",
       "      <td>-0.517508</td>\n",
       "      <td>-1.781945</td>\n",
       "      <td>7.268638</td>\n",
       "      <td>16.862477</td>\n",
       "      <td>19.284099</td>\n",
       "      <td>229997057836.379639</td>\n",
       "      <td>18.973400</td>\n",
       "      <td>229997057836.380005</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2</td>\n",
       "      <td>825</td>\n",
       "      <td>Tether</td>\n",
       "      <td>USDT</td>\n",
       "      <td>tether</td>\n",
       "      <td>52140</td>\n",
       "      <td>2015-02-25T00:00:00.000Z</td>\n",
       "      <td>['payments', 'stablecoin', 'asset-backed-stabl...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81615536097.752090</td>\n",
       "      <td>85090638896.270859</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>1.000328</td>\n",
       "      <td>33528787823.392529</td>\n",
       "      <td>-26.644500</td>\n",
       "      <td>0.005022</td>\n",
       "      <td>0.033409</td>\n",
       "      <td>0.020207</td>\n",
       "      <td>-0.003016</td>\n",
       "      <td>0.023343</td>\n",
       "      <td>0.017038</td>\n",
       "      <td>81642273252.154129</td>\n",
       "      <td>6.733600</td>\n",
       "      <td>85118514490.300003</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>1027.000000</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>0xdac17f958d2ee523a2206206994597c13d831ec7</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>3</td>\n",
       "      <td>1839</td>\n",
       "      <td>BNB</td>\n",
       "      <td>BNB</td>\n",
       "      <td>bnb</td>\n",
       "      <td>1294</td>\n",
       "      <td>2017-07-25T00:00:00.000Z</td>\n",
       "      <td>['marketplace', 'centralized-exchange', 'payme...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>155863259.817313</td>\n",
       "      <td>155863259.817313</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>328.243036</td>\n",
       "      <td>727160468.484402</td>\n",
       "      <td>-24.385300</td>\n",
       "      <td>-0.693438</td>\n",
       "      <td>-1.973561</td>\n",
       "      <td>2.993300</td>\n",
       "      <td>4.564344</td>\n",
       "      <td>6.614302</td>\n",
       "      <td>6.297442</td>\n",
       "      <td>51161029643.838425</td>\n",
       "      <td>4.220500</td>\n",
       "      <td>51161029643.839996</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>4</td>\n",
       "      <td>3408</td>\n",
       "      <td>USD Coin</td>\n",
       "      <td>USDC</td>\n",
       "      <td>usd-coin</td>\n",
       "      <td>12065</td>\n",
       "      <td>2018-10-08T00:00:00.000Z</td>\n",
       "      <td>['medium-of-exchange', 'stablecoin', 'asset-ba...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30533726557.887390</td>\n",
       "      <td>30533726557.887390</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>0.999945</td>\n",
       "      <td>5170904432.284743</td>\n",
       "      <td>-26.945400</td>\n",
       "      <td>0.002551</td>\n",
       "      <td>0.008675</td>\n",
       "      <td>-0.023124</td>\n",
       "      <td>0.000106</td>\n",
       "      <td>-0.000366</td>\n",
       "      <td>-0.014868</td>\n",
       "      <td>30532055016.351799</td>\n",
       "      <td>2.518200</td>\n",
       "      <td>30532055016.349998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>1027.000000</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>5</td>\n",
       "      <td>52</td>\n",
       "      <td>XRP</td>\n",
       "      <td>XRP</td>\n",
       "      <td>xrp</td>\n",
       "      <td>937</td>\n",
       "      <td>2013-08-04T00:00:00.000Z</td>\n",
       "      <td>['medium-of-exchange', 'enterprise-solutions',...</td>\n",
       "      <td>100000000000.000000</td>\n",
       "      <td>51750810378.000000</td>\n",
       "      <td>99988998998.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>0.465941</td>\n",
       "      <td>1585098121.209140</td>\n",
       "      <td>-3.092600</td>\n",
       "      <td>-0.137245</td>\n",
       "      <td>-0.327543</td>\n",
       "      <td>-1.707961</td>\n",
       "      <td>-10.370698</td>\n",
       "      <td>23.465632</td>\n",
       "      <td>12.628803</td>\n",
       "      <td>24112808046.623920</td>\n",
       "      <td>1.989600</td>\n",
       "      <td>46594068518.919998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>6</td>\n",
       "      <td>2010</td>\n",
       "      <td>Cardano</td>\n",
       "      <td>ADA</td>\n",
       "      <td>cardano</td>\n",
       "      <td>772</td>\n",
       "      <td>2017-10-01T00:00:00.000Z</td>\n",
       "      <td>['dpos', 'pos', 'platform', 'research', 'smart...</td>\n",
       "      <td>45000000000.000000</td>\n",
       "      <td>34800090009.614998</td>\n",
       "      <td>35727842284.508003</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>0.410097</td>\n",
       "      <td>374672455.031408</td>\n",
       "      <td>-26.265500</td>\n",
       "      <td>-0.108008</td>\n",
       "      <td>-0.000194</td>\n",
       "      <td>2.059801</td>\n",
       "      <td>11.579574</td>\n",
       "      <td>11.936116</td>\n",
       "      <td>3.414855</td>\n",
       "      <td>14271423602.625547</td>\n",
       "      <td>1.176900</td>\n",
       "      <td>18454379340.419998</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>7</td>\n",
       "      <td>74</td>\n",
       "      <td>Dogecoin</td>\n",
       "      <td>DOGE</td>\n",
       "      <td>dogecoin</td>\n",
       "      <td>696</td>\n",
       "      <td>2013-12-15T00:00:00.000Z</td>\n",
       "      <td>['mineable', 'pow', 'scrypt', 'medium-of-excha...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>139117606383.705200</td>\n",
       "      <td>139117606383.705200</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>0.080211</td>\n",
       "      <td>397655072.944111</td>\n",
       "      <td>-47.067200</td>\n",
       "      <td>0.002069</td>\n",
       "      <td>0.120476</td>\n",
       "      <td>-4.618892</td>\n",
       "      <td>8.734357</td>\n",
       "      <td>-1.889375</td>\n",
       "      <td>-8.693776</td>\n",
       "      <td>11158752526.080936</td>\n",
       "      <td>0.920200</td>\n",
       "      <td>11158752526.080000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>8</td>\n",
       "      <td>3890</td>\n",
       "      <td>Polygon</td>\n",
       "      <td>MATIC</td>\n",
       "      <td>polygon</td>\n",
       "      <td>673</td>\n",
       "      <td>2019-04-28T00:00:00.000Z</td>\n",
       "      <td>['platform', 'enterprise-solutions', 'zero-kno...</td>\n",
       "      <td>10000000000.000000</td>\n",
       "      <td>9249469069.284929</td>\n",
       "      <td>10000000000.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>1.013757</td>\n",
       "      <td>493011276.293557</td>\n",
       "      <td>-27.542600</td>\n",
       "      <td>0.092467</td>\n",
       "      <td>0.019251</td>\n",
       "      <td>-3.654247</td>\n",
       "      <td>-6.882556</td>\n",
       "      <td>-20.116167</td>\n",
       "      <td>-11.958570</td>\n",
       "      <td>9376717553.489817</td>\n",
       "      <td>0.773700</td>\n",
       "      <td>10137573825.320000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>9</td>\n",
       "      <td>5426</td>\n",
       "      <td>Solana</td>\n",
       "      <td>SOL</td>\n",
       "      <td>solana</td>\n",
       "      <td>457</td>\n",
       "      <td>2020-04-10T00:00:00.000Z</td>\n",
       "      <td>['pos', 'platform', 'solana-ecosystem', 'cms-h...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>392894815.607193</td>\n",
       "      <td>539312704.887534</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>22.581118</td>\n",
       "      <td>456869278.969472</td>\n",
       "      <td>-38.706100</td>\n",
       "      <td>0.848464</td>\n",
       "      <td>2.838949</td>\n",
       "      <td>1.561446</td>\n",
       "      <td>9.461885</td>\n",
       "      <td>-2.052123</td>\n",
       "      <td>-8.303404</td>\n",
       "      <td>8872004092.269577</td>\n",
       "      <td>0.732000</td>\n",
       "      <td>12178283689.950001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>10</td>\n",
       "      <td>6636</td>\n",
       "      <td>Polkadot</td>\n",
       "      <td>DOT</td>\n",
       "      <td>polkadot-new</td>\n",
       "      <td>498</td>\n",
       "      <td>2020-08-19T00:00:00.000Z</td>\n",
       "      <td>['substrate', 'polkadot', 'binance-chain', 'po...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1178075036.880687</td>\n",
       "      <td>1307553914.185867</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>5.966781</td>\n",
       "      <td>167748125.142033</td>\n",
       "      <td>-36.461900</td>\n",
       "      <td>-0.149649</td>\n",
       "      <td>-0.449677</td>\n",
       "      <td>-2.841935</td>\n",
       "      <td>-1.769014</td>\n",
       "      <td>-10.393987</td>\n",
       "      <td>-9.913495</td>\n",
       "      <td>7029315193.490407</td>\n",
       "      <td>0.580000</td>\n",
       "      <td>7801887237.700000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>Litecoin</td>\n",
       "      <td>LTC</td>\n",
       "      <td>litecoin</td>\n",
       "      <td>908</td>\n",
       "      <td>2013-04-28T00:00:00.000Z</td>\n",
       "      <td>['mineable', 'pow', 'scrypt', 'medium-of-excha...</td>\n",
       "      <td>84000000.000000</td>\n",
       "      <td>72799864.320805</td>\n",
       "      <td>84000000.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>89.661656</td>\n",
       "      <td>518560620.438799</td>\n",
       "      <td>-38.916600</td>\n",
       "      <td>-0.106580</td>\n",
       "      <td>-0.454092</td>\n",
       "      <td>-0.801534</td>\n",
       "      <td>0.465438</td>\n",
       "      <td>-5.341446</td>\n",
       "      <td>0.909994</td>\n",
       "      <td>6527356425.834283</td>\n",
       "      <td>0.538300</td>\n",
       "      <td>7531579143.530000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>12</td>\n",
       "      <td>4687</td>\n",
       "      <td>Binance USD</td>\n",
       "      <td>BUSD</td>\n",
       "      <td>binance-usd</td>\n",
       "      <td>6669</td>\n",
       "      <td>2019-09-20T00:00:00.000Z</td>\n",
       "      <td>['stablecoin', 'asset-backed-stablecoin', 'bin...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6280952229.493376</td>\n",
       "      <td>6280952229.493376</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>1.000106</td>\n",
       "      <td>3414867576.745991</td>\n",
       "      <td>-21.127900</td>\n",
       "      <td>0.018843</td>\n",
       "      <td>0.011703</td>\n",
       "      <td>0.028220</td>\n",
       "      <td>-0.013761</td>\n",
       "      <td>-0.014280</td>\n",
       "      <td>0.040230</td>\n",
       "      <td>6281618521.699013</td>\n",
       "      <td>0.518000</td>\n",
       "      <td>6281618521.700000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>1839.000000</td>\n",
       "      <td>BNB</td>\n",
       "      <td>BNB</td>\n",
       "      <td>bnb</td>\n",
       "      <td>BUSD-BD1</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>13</td>\n",
       "      <td>5994</td>\n",
       "      <td>Shiba Inu</td>\n",
       "      <td>SHIB</td>\n",
       "      <td>shiba-inu</td>\n",
       "      <td>508</td>\n",
       "      <td>2020-08-01T00:00:00.000Z</td>\n",
       "      <td>['memes', 'ethereum-ecosystem', 'doggone-dogge...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>589543832993340.125000</td>\n",
       "      <td>589604810668664.375000</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>112442496.794049</td>\n",
       "      <td>-45.300200</td>\n",
       "      <td>-0.073218</td>\n",
       "      <td>-0.533922</td>\n",
       "      <td>-3.436574</td>\n",
       "      <td>-2.005502</td>\n",
       "      <td>-19.472010</td>\n",
       "      <td>-12.852114</td>\n",
       "      <td>6058689364.052512</td>\n",
       "      <td>0.499900</td>\n",
       "      <td>6059316026.180000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>1027.000000</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>ETH</td>\n",
       "      <td>ethereum</td>\n",
       "      <td>0x95ad61b0a150d79219dcf64e1e6cc01f0b64c4ce</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>14</td>\n",
       "      <td>1958</td>\n",
       "      <td>TRON</td>\n",
       "      <td>TRX</td>\n",
       "      <td>tron</td>\n",
       "      <td>753</td>\n",
       "      <td>2017-09-13T00:00:00.000Z</td>\n",
       "      <td>['media', 'payments', 'tron-ecosystem']</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90657026411.827164</td>\n",
       "      <td>90657037484.691605</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15</td>\n",
       "      <td>71659659264.000000</td>\n",
       "      <td>4718186921.576477</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>0.065842</td>\n",
       "      <td>183519075.382486</td>\n",
       "      <td>-32.099000</td>\n",
       "      <td>0.072186</td>\n",
       "      <td>0.079625</td>\n",
       "      <td>0.648364</td>\n",
       "      <td>2.168105</td>\n",
       "      <td>-5.107525</td>\n",
       "      <td>3.347827</td>\n",
       "      <td>5969004049.956183</td>\n",
       "      <td>0.492500</td>\n",
       "      <td>5969004779.010000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0    id         name symbol          slug  num_market_pairs  \\\n",
       "0            0     1      Bitcoin    BTC       bitcoin             10192   \n",
       "1            1  1027     Ethereum    ETH      ethereum              6792   \n",
       "2            2   825       Tether   USDT        tether             52140   \n",
       "3            3  1839          BNB    BNB           bnb              1294   \n",
       "4            4  3408     USD Coin   USDC      usd-coin             12065   \n",
       "5            5    52          XRP    XRP           xrp               937   \n",
       "6            6  2010      Cardano    ADA       cardano               772   \n",
       "7            7    74     Dogecoin   DOGE      dogecoin               696   \n",
       "8            8  3890      Polygon  MATIC       polygon               673   \n",
       "9            9  5426       Solana    SOL        solana               457   \n",
       "10          10  6636     Polkadot    DOT  polkadot-new               498   \n",
       "11          11     2     Litecoin    LTC      litecoin               908   \n",
       "12          12  4687  Binance USD   BUSD   binance-usd              6669   \n",
       "13          13  5994    Shiba Inu   SHIB     shiba-inu               508   \n",
       "14          14  1958         TRON    TRX          tron               753   \n",
       "15           0     1      Bitcoin    BTC       bitcoin             10192   \n",
       "16           1  1027     Ethereum    ETH      ethereum              6792   \n",
       "17           2   825       Tether   USDT        tether             52140   \n",
       "18           3  1839          BNB    BNB           bnb              1294   \n",
       "19           4  3408     USD Coin   USDC      usd-coin             12065   \n",
       "20           5    52          XRP    XRP           xrp               937   \n",
       "21           6  2010      Cardano    ADA       cardano               772   \n",
       "22           7    74     Dogecoin   DOGE      dogecoin               696   \n",
       "23           8  3890      Polygon  MATIC       polygon               673   \n",
       "24           9  5426       Solana    SOL        solana               457   \n",
       "25          10  6636     Polkadot    DOT  polkadot-new               498   \n",
       "26          11     2     Litecoin    LTC      litecoin               908   \n",
       "27          12  4687  Binance USD   BUSD   binance-usd              6669   \n",
       "28          13  5994    Shiba Inu   SHIB     shiba-inu               508   \n",
       "29          14  1958         TRON    TRX          tron               753   \n",
       "\n",
       "                  date_added  \\\n",
       "0   2010-07-13T00:00:00.000Z   \n",
       "1   2015-08-07T00:00:00.000Z   \n",
       "2   2015-02-25T00:00:00.000Z   \n",
       "3   2017-07-25T00:00:00.000Z   \n",
       "4   2018-10-08T00:00:00.000Z   \n",
       "5   2013-08-04T00:00:00.000Z   \n",
       "6   2017-10-01T00:00:00.000Z   \n",
       "7   2013-12-15T00:00:00.000Z   \n",
       "8   2019-04-28T00:00:00.000Z   \n",
       "9   2020-04-10T00:00:00.000Z   \n",
       "10  2020-08-19T00:00:00.000Z   \n",
       "11  2013-04-28T00:00:00.000Z   \n",
       "12  2019-09-20T00:00:00.000Z   \n",
       "13  2020-08-01T00:00:00.000Z   \n",
       "14  2017-09-13T00:00:00.000Z   \n",
       "15  2010-07-13T00:00:00.000Z   \n",
       "16  2015-08-07T00:00:00.000Z   \n",
       "17  2015-02-25T00:00:00.000Z   \n",
       "18  2017-07-25T00:00:00.000Z   \n",
       "19  2018-10-08T00:00:00.000Z   \n",
       "20  2013-08-04T00:00:00.000Z   \n",
       "21  2017-10-01T00:00:00.000Z   \n",
       "22  2013-12-15T00:00:00.000Z   \n",
       "23  2019-04-28T00:00:00.000Z   \n",
       "24  2020-04-10T00:00:00.000Z   \n",
       "25  2020-08-19T00:00:00.000Z   \n",
       "26  2013-04-28T00:00:00.000Z   \n",
       "27  2019-09-20T00:00:00.000Z   \n",
       "28  2020-08-01T00:00:00.000Z   \n",
       "29  2017-09-13T00:00:00.000Z   \n",
       "\n",
       "                                                 tags           max_supply  \\\n",
       "0   ['mineable', 'pow', 'sha-256', 'store-of-value...      21000000.000000   \n",
       "1   ['pos', 'smart-contracts', 'ethereum-ecosystem...                  NaN   \n",
       "2   ['payments', 'stablecoin', 'asset-backed-stabl...                  NaN   \n",
       "3   ['marketplace', 'centralized-exchange', 'payme...                  NaN   \n",
       "4   ['medium-of-exchange', 'stablecoin', 'asset-ba...                  NaN   \n",
       "5   ['medium-of-exchange', 'enterprise-solutions',...  100000000000.000000   \n",
       "6   ['dpos', 'pos', 'platform', 'research', 'smart...   45000000000.000000   \n",
       "7   ['mineable', 'pow', 'scrypt', 'medium-of-excha...                  NaN   \n",
       "8   ['platform', 'enterprise-solutions', 'zero-kno...   10000000000.000000   \n",
       "9   ['pos', 'platform', 'solana-ecosystem', 'cms-h...                  NaN   \n",
       "10  ['substrate', 'polkadot', 'binance-chain', 'po...                  NaN   \n",
       "11  ['mineable', 'pow', 'scrypt', 'medium-of-excha...      84000000.000000   \n",
       "12  ['stablecoin', 'asset-backed-stablecoin', 'bin...                  NaN   \n",
       "13  ['memes', 'ethereum-ecosystem', 'doggone-dogge...                  NaN   \n",
       "14            ['media', 'payments', 'tron-ecosystem']                  NaN   \n",
       "15  ['mineable', 'pow', 'sha-256', 'store-of-value...      21000000.000000   \n",
       "16  ['pos', 'smart-contracts', 'ethereum-ecosystem...                  NaN   \n",
       "17  ['payments', 'stablecoin', 'asset-backed-stabl...                  NaN   \n",
       "18  ['marketplace', 'centralized-exchange', 'payme...                  NaN   \n",
       "19  ['medium-of-exchange', 'stablecoin', 'asset-ba...                  NaN   \n",
       "20  ['medium-of-exchange', 'enterprise-solutions',...  100000000000.000000   \n",
       "21  ['dpos', 'pos', 'platform', 'research', 'smart...   45000000000.000000   \n",
       "22  ['mineable', 'pow', 'scrypt', 'medium-of-excha...                  NaN   \n",
       "23  ['platform', 'enterprise-solutions', 'zero-kno...   10000000000.000000   \n",
       "24  ['pos', 'platform', 'solana-ecosystem', 'cms-h...                  NaN   \n",
       "25  ['substrate', 'polkadot', 'binance-chain', 'po...                  NaN   \n",
       "26  ['mineable', 'pow', 'scrypt', 'medium-of-excha...      84000000.000000   \n",
       "27  ['stablecoin', 'asset-backed-stablecoin', 'bin...                  NaN   \n",
       "28  ['memes', 'ethereum-ecosystem', 'doggone-dogge...                  NaN   \n",
       "29            ['media', 'payments', 'tron-ecosystem']                  NaN   \n",
       "\n",
       "        circulating_supply            total_supply  infinite_supply  platform  \\\n",
       "0          19357968.000000         19357968.000000            False       NaN   \n",
       "1         120402439.830906        120402439.830906            False       NaN   \n",
       "2       81615536097.752090      85090638896.270859            False       NaN   \n",
       "3         155863259.817313        155863259.817313            False       NaN   \n",
       "4       30533726557.887390      30533726557.887390            False       NaN   \n",
       "5       51750810378.000000      99988998998.000000            False       NaN   \n",
       "6       34800090009.614998      35727842284.508003            False       NaN   \n",
       "7      139117606383.705200     139117606383.705200            False       NaN   \n",
       "8        9249469069.284929      10000000000.000000            False       NaN   \n",
       "9         392894815.607193        539312704.887534            False       NaN   \n",
       "10       1178075036.880687       1307553914.185867            False       NaN   \n",
       "11         72799864.320805         84000000.000000            False       NaN   \n",
       "12       6280952229.493376       6280952229.493376            False       NaN   \n",
       "13  589543832993340.125000  589604810668664.375000            False       NaN   \n",
       "14      90657026411.827164      90657037484.691605            False       NaN   \n",
       "15         19357968.000000         19357968.000000            False       NaN   \n",
       "16        120402439.830906        120402439.830906            False       NaN   \n",
       "17      81615536097.752090      85090638896.270859            False       NaN   \n",
       "18        155863259.817313        155863259.817313            False       NaN   \n",
       "19      30533726557.887390      30533726557.887390            False       NaN   \n",
       "20      51750810378.000000      99988998998.000000            False       NaN   \n",
       "21      34800090009.614998      35727842284.508003            False       NaN   \n",
       "22     139117606383.705200     139117606383.705200            False       NaN   \n",
       "23       9249469069.284929      10000000000.000000            False       NaN   \n",
       "24        392894815.607193        539312704.887534            False       NaN   \n",
       "25       1178075036.880687       1307553914.185867            False       NaN   \n",
       "26         72799864.320805         84000000.000000            False       NaN   \n",
       "27       6280952229.493376       6280952229.493376            False       NaN   \n",
       "28  589543832993340.125000  589604810668664.375000            False       NaN   \n",
       "29      90657026411.827164      90657037484.691605            False       NaN   \n",
       "\n",
       "    cmc_rank  self_reported_circulating_supply  self_reported_market_cap  \\\n",
       "0          1                               NaN                       NaN   \n",
       "1          2                               NaN                       NaN   \n",
       "2          3                               NaN                       NaN   \n",
       "3          4                               NaN                       NaN   \n",
       "4          5                               NaN                       NaN   \n",
       "5          6                               NaN                       NaN   \n",
       "6          7                               NaN                       NaN   \n",
       "7          8                               NaN                       NaN   \n",
       "8          9                               NaN                       NaN   \n",
       "9         10                               NaN                       NaN   \n",
       "10        11                               NaN                       NaN   \n",
       "11        12                               NaN                       NaN   \n",
       "12        13                               NaN                       NaN   \n",
       "13        14                               NaN                       NaN   \n",
       "14        15                71659659264.000000         4718953875.782639   \n",
       "15         1                               NaN                       NaN   \n",
       "16         2                               NaN                       NaN   \n",
       "17         3                               NaN                       NaN   \n",
       "18         4                               NaN                       NaN   \n",
       "19         5                               NaN                       NaN   \n",
       "20         6                               NaN                       NaN   \n",
       "21         7                               NaN                       NaN   \n",
       "22         8                               NaN                       NaN   \n",
       "23         9                               NaN                       NaN   \n",
       "24        10                               NaN                       NaN   \n",
       "25        11                               NaN                       NaN   \n",
       "26        12                               NaN                       NaN   \n",
       "27        13                               NaN                       NaN   \n",
       "28        14                               NaN                       NaN   \n",
       "29        15                71659659264.000000         4718186921.576477   \n",
       "\n",
       "    tvl_ratio              last_updated  quote.USD.price  \\\n",
       "0         NaN  2023-04-28T01:11:00.000Z     29506.796886   \n",
       "1         NaN  2023-04-28T01:11:00.000Z      1911.070093   \n",
       "2         NaN  2023-04-28T01:11:00.000Z         1.000388   \n",
       "3         NaN  2023-04-28T01:11:00.000Z       328.413872   \n",
       "4         NaN  2023-04-28T01:11:00.000Z         0.999997   \n",
       "5         NaN  2023-04-28T01:11:00.000Z         0.466048   \n",
       "6         NaN  2023-04-28T01:11:00.000Z         0.410192   \n",
       "7         NaN  2023-04-28T01:11:00.000Z         0.080235   \n",
       "8         NaN  2023-04-28T01:11:00.000Z         1.014176   \n",
       "9         NaN  2023-04-28T01:11:00.000Z        22.584120   \n",
       "10        NaN  2023-04-28T01:11:00.000Z         5.969939   \n",
       "11        NaN  2023-04-28T01:11:00.000Z        89.676575   \n",
       "12        NaN  2023-04-28T01:11:00.000Z         0.999875   \n",
       "13        NaN  2023-04-28T01:11:00.000Z         0.000010   \n",
       "14        NaN  2023-04-28T01:11:00.000Z         0.065852   \n",
       "15        NaN  2023-04-28T01:12:00.000Z     29496.268213   \n",
       "16        NaN  2023-04-28T01:12:00.000Z      1910.235857   \n",
       "17        NaN  2023-04-28T01:12:00.000Z         1.000328   \n",
       "18        NaN  2023-04-28T01:12:00.000Z       328.243036   \n",
       "19        NaN  2023-04-28T01:12:00.000Z         0.999945   \n",
       "20        NaN  2023-04-28T01:12:00.000Z         0.465941   \n",
       "21        NaN  2023-04-28T01:12:00.000Z         0.410097   \n",
       "22        NaN  2023-04-28T01:12:00.000Z         0.080211   \n",
       "23        NaN  2023-04-28T01:12:00.000Z         1.013757   \n",
       "24        NaN  2023-04-28T01:12:00.000Z        22.581118   \n",
       "25        NaN  2023-04-28T01:12:00.000Z         5.966781   \n",
       "26        NaN  2023-04-28T01:12:00.000Z        89.661656   \n",
       "27        NaN  2023-04-28T01:12:00.000Z         1.000106   \n",
       "28        NaN  2023-04-28T01:12:00.000Z         0.000010   \n",
       "29        NaN  2023-04-28T01:12:00.000Z         0.065842   \n",
       "\n",
       "    quote.USD.volume_24h  quote.USD.volume_change_24h  \\\n",
       "0     25466308464.086521                   -24.055200   \n",
       "1     13044724063.895599                   -15.473300   \n",
       "2     33538159474.227360                   -26.542600   \n",
       "3       727210374.806210                   -24.312500   \n",
       "4      5171438693.055389                   -26.878400   \n",
       "5      1585765532.955254                    -2.970400   \n",
       "6       374702723.807436                   -26.219100   \n",
       "7       397595568.301315                   -47.048500   \n",
       "8       493114809.871684                   -27.487900   \n",
       "9       457125979.947695                   -38.610200   \n",
       "10      167830818.400800                   -36.369200   \n",
       "11      518575785.926220                   -38.867200   \n",
       "12     3416102706.394595                   -21.053500   \n",
       "13      112464201.518790                   -45.243700   \n",
       "14      183541144.464155                   -32.047700   \n",
       "15    25455688489.068325                   -24.152500   \n",
       "16    13042085754.487860                   -15.551300   \n",
       "17    33528787823.392529                   -26.644500   \n",
       "18      727160468.484402                   -24.385300   \n",
       "19     5170904432.284743                   -26.945400   \n",
       "20     1585098121.209140                    -3.092600   \n",
       "21      374672455.031408                   -26.265500   \n",
       "22      397655072.944111                   -47.067200   \n",
       "23      493011276.293557                   -27.542600   \n",
       "24      456869278.969472                   -38.706100   \n",
       "25      167748125.142033                   -36.461900   \n",
       "26      518560620.438799                   -38.916600   \n",
       "27     3414867576.745991                   -21.127900   \n",
       "28      112442496.794049                   -45.300200   \n",
       "29      183519075.382486                   -32.099000   \n",
       "\n",
       "    quote.USD.percent_change_1h  quote.USD.percent_change_24h  \\\n",
       "0                      0.058513                      1.292921   \n",
       "1                      0.095254                     -0.477470   \n",
       "2                      0.010438                      0.034796   \n",
       "3                     -0.704347                     -1.879310   \n",
       "4                      0.004218                      0.014747   \n",
       "5                     -0.134230                     -0.296868   \n",
       "6                     -0.108566                      0.035448   \n",
       "7                      0.025566                      0.170371   \n",
       "8                      0.111692                      0.077871   \n",
       "9                      0.827657                      2.872215   \n",
       "10                    -0.125949                     -0.367636   \n",
       "11                    -0.110465                     -0.430383   \n",
       "12                    -0.013367                     -0.004625   \n",
       "13                    -0.088918                     -0.501645   \n",
       "14                     0.075820                      0.106616   \n",
       "15                     0.072494                      1.233326   \n",
       "16                     0.093072                     -0.517508   \n",
       "17                     0.005022                      0.033409   \n",
       "18                    -0.693438                     -1.973561   \n",
       "19                     0.002551                      0.008675   \n",
       "20                    -0.137245                     -0.327543   \n",
       "21                    -0.108008                     -0.000194   \n",
       "22                     0.002069                      0.120476   \n",
       "23                     0.092467                      0.019251   \n",
       "24                     0.848464                      2.838949   \n",
       "25                    -0.149649                     -0.449677   \n",
       "26                    -0.106580                     -0.454092   \n",
       "27                     0.018843                      0.011703   \n",
       "28                    -0.073218                     -0.533922   \n",
       "29                     0.072186                      0.079625   \n",
       "\n",
       "    quote.USD.percent_change_7d  quote.USD.percent_change_30d  \\\n",
       "0                      4.567623                      8.100760   \n",
       "1                     -1.713539                      7.477595   \n",
       "2                      0.027791                      0.007119   \n",
       "3                      3.053771                      4.654638   \n",
       "4                     -0.004301                      0.009770   \n",
       "5                     -1.681885                    -10.330474   \n",
       "6                      2.087348                     11.637594   \n",
       "7                     -4.582037                      8.790896   \n",
       "8                     -3.609515                     -6.829236   \n",
       "9                      1.602596                      9.526555   \n",
       "10                    -2.784598                     -1.700566   \n",
       "11                    -0.776926                      0.498966   \n",
       "12                     0.005804                     -0.033183   \n",
       "13                    -3.407074                     -1.980722   \n",
       "14                     0.679183                      2.202890   \n",
       "15                     4.510477                      7.917959   \n",
       "16                    -1.781945                      7.268638   \n",
       "17                     0.020207                     -0.003016   \n",
       "18                     2.993300                      4.564344   \n",
       "19                    -0.023124                      0.000106   \n",
       "20                    -1.707961                    -10.370698   \n",
       "21                     2.059801                     11.579574   \n",
       "22                    -4.618892                      8.734357   \n",
       "23                    -3.654247                     -6.882556   \n",
       "24                     1.561446                      9.461885   \n",
       "25                    -2.841935                     -1.769014   \n",
       "26                    -0.801534                      0.465438   \n",
       "27                     0.028220                     -0.013761   \n",
       "28                    -3.436574                     -2.005502   \n",
       "29                     0.648364                      2.168105   \n",
       "\n",
       "    quote.USD.percent_change_60d  quote.USD.percent_change_90d  \\\n",
       "0                      25.728075                     27.530662   \n",
       "1                      16.917645                     19.346157   \n",
       "2                       0.029825                      0.024456   \n",
       "3                       6.676706                      6.352007   \n",
       "4                       0.006679                     -0.001449   \n",
       "5                      23.494091                     12.641648   \n",
       "6                      11.963655                      3.432434   \n",
       "7                      -1.848901                     -8.664337   \n",
       "8                     -20.080590                    -11.909141   \n",
       "9                      -2.033064                     -8.285655   \n",
       "10                    -10.341661                     -9.878868   \n",
       "11                     -5.318614                      0.924612   \n",
       "12                     -0.035680                     -0.043221   \n",
       "13                    -19.467642                    -12.824911   \n",
       "14                     -5.095414                      3.350478   \n",
       "15                     25.678910                     27.471945   \n",
       "16                     16.862477                     19.284099   \n",
       "17                      0.023343                      0.017038   \n",
       "18                      6.614302                      6.297442   \n",
       "19                     -0.000366                     -0.014868   \n",
       "20                     23.465632                     12.628803   \n",
       "21                     11.936116                      3.414855   \n",
       "22                     -1.889375                     -8.693776   \n",
       "23                    -20.116167                    -11.958570   \n",
       "24                     -2.052123                     -8.303404   \n",
       "25                    -10.393987                     -9.913495   \n",
       "26                     -5.341446                      0.909994   \n",
       "27                     -0.014280                      0.040230   \n",
       "28                    -19.472010                    -12.852114   \n",
       "29                     -5.107525                      3.347827   \n",
       "\n",
       "    quote.USD.market_cap  quote.USD.market_cap_dominance  \\\n",
       "0    571191629911.311646                       47.130300   \n",
       "1    230097501828.256409                       18.981700   \n",
       "2     81647195865.730621                        6.734100   \n",
       "3     51187656656.407417                        4.222700   \n",
       "4     30533622041.733067                        2.518300   \n",
       "5     24118362162.314011                        1.988600   \n",
       "6     14274701988.937868                        1.177200   \n",
       "7     11162082164.560816                        0.920500   \n",
       "8      9380585460.931765                        0.774000   \n",
       "9      8873183718.673992                        0.732100   \n",
       "10     7033036295.994258                        0.580300   \n",
       "11     6528442491.540478                        0.538400   \n",
       "12     6280169358.290792                        0.517900   \n",
       "13     6059344356.270708                        0.500000   \n",
       "14     5969974327.912272                        0.492600   \n",
       "15   570987816185.553833                       47.113500   \n",
       "16   229997057836.379639                       18.973400   \n",
       "17    81642273252.154129                        6.733600   \n",
       "18    51161029643.838425                        4.220500   \n",
       "19    30532055016.351799                        2.518200   \n",
       "20    24112808046.623920                        1.989600   \n",
       "21    14271423602.625547                        1.176900   \n",
       "22    11158752526.080936                        0.920200   \n",
       "23     9376717553.489817                        0.773700   \n",
       "24     8872004092.269577                        0.732000   \n",
       "25     7029315193.490407                        0.580000   \n",
       "26     6527356425.834283                        0.538300   \n",
       "27     6281618521.699013                        0.518000   \n",
       "28     6058689364.052512                        0.499900   \n",
       "29     5969004049.956183                        0.492500   \n",
       "\n",
       "    quote.USD.fully_diluted_market_cap  quote.USD.tvl  \\\n",
       "0                  619642734616.439941            NaN   \n",
       "1                  230097501828.260010            NaN   \n",
       "2                   85123646703.529999            NaN   \n",
       "3                   51187656656.410004            NaN   \n",
       "4                   30533622041.730000            NaN   \n",
       "5                   46604800941.570000            NaN   \n",
       "6                   18458618622.099998            NaN   \n",
       "7                   11162082164.559999            NaN   \n",
       "8                   10141755586.900000            NaN   \n",
       "9                   12179902921.059999            NaN   \n",
       "10                   7806017316.000000            NaN   \n",
       "11                   7532832298.600000            NaN   \n",
       "12                   6280169358.290000            NaN   \n",
       "13                   6059971086.150000            NaN   \n",
       "14                   5969975057.090000            NaN   \n",
       "15                 619421632471.790039            NaN   \n",
       "16                 229997057836.380005            NaN   \n",
       "17                  85118514490.300003            NaN   \n",
       "18                  51161029643.839996            NaN   \n",
       "19                  30532055016.349998            NaN   \n",
       "20                  46594068518.919998            NaN   \n",
       "21                  18454379340.419998            NaN   \n",
       "22                  11158752526.080000            NaN   \n",
       "23                  10137573825.320000            NaN   \n",
       "24                  12178283689.950001            NaN   \n",
       "25                   7801887237.700000            NaN   \n",
       "26                   7531579143.530000            NaN   \n",
       "27                   6281618521.700000            NaN   \n",
       "28                   6059316026.180000            NaN   \n",
       "29                   5969004779.010000            NaN   \n",
       "\n",
       "      quote.USD.last_updated  platform.id platform.name platform.symbol  \\\n",
       "0   2023-04-28T01:11:00.000Z          NaN           NaN             NaN   \n",
       "1   2023-04-28T01:11:00.000Z          NaN           NaN             NaN   \n",
       "2   2023-04-28T01:11:00.000Z  1027.000000      Ethereum             ETH   \n",
       "3   2023-04-28T01:11:00.000Z          NaN           NaN             NaN   \n",
       "4   2023-04-28T01:11:00.000Z  1027.000000      Ethereum             ETH   \n",
       "5   2023-04-28T01:11:00.000Z          NaN           NaN             NaN   \n",
       "6   2023-04-28T01:11:00.000Z          NaN           NaN             NaN   \n",
       "7   2023-04-28T01:11:00.000Z          NaN           NaN             NaN   \n",
       "8   2023-04-28T01:11:00.000Z          NaN           NaN             NaN   \n",
       "9   2023-04-28T01:11:00.000Z          NaN           NaN             NaN   \n",
       "10  2023-04-28T01:11:00.000Z          NaN           NaN             NaN   \n",
       "11  2023-04-28T01:11:00.000Z          NaN           NaN             NaN   \n",
       "12  2023-04-28T01:11:00.000Z  1839.000000           BNB             BNB   \n",
       "13  2023-04-28T01:11:00.000Z  1027.000000      Ethereum             ETH   \n",
       "14  2023-04-28T01:11:00.000Z          NaN           NaN             NaN   \n",
       "15  2023-04-28T01:12:00.000Z          NaN           NaN             NaN   \n",
       "16  2023-04-28T01:12:00.000Z          NaN           NaN             NaN   \n",
       "17  2023-04-28T01:12:00.000Z  1027.000000      Ethereum             ETH   \n",
       "18  2023-04-28T01:12:00.000Z          NaN           NaN             NaN   \n",
       "19  2023-04-28T01:12:00.000Z  1027.000000      Ethereum             ETH   \n",
       "20  2023-04-28T01:12:00.000Z          NaN           NaN             NaN   \n",
       "21  2023-04-28T01:12:00.000Z          NaN           NaN             NaN   \n",
       "22  2023-04-28T01:12:00.000Z          NaN           NaN             NaN   \n",
       "23  2023-04-28T01:12:00.000Z          NaN           NaN             NaN   \n",
       "24  2023-04-28T01:12:00.000Z          NaN           NaN             NaN   \n",
       "25  2023-04-28T01:12:00.000Z          NaN           NaN             NaN   \n",
       "26  2023-04-28T01:12:00.000Z          NaN           NaN             NaN   \n",
       "27  2023-04-28T01:12:00.000Z  1839.000000           BNB             BNB   \n",
       "28  2023-04-28T01:12:00.000Z  1027.000000      Ethereum             ETH   \n",
       "29  2023-04-28T01:12:00.000Z          NaN           NaN             NaN   \n",
       "\n",
       "   platform.slug                      platform.token_address  \\\n",
       "0            NaN                                         NaN   \n",
       "1            NaN                                         NaN   \n",
       "2       ethereum  0xdac17f958d2ee523a2206206994597c13d831ec7   \n",
       "3            NaN                                         NaN   \n",
       "4       ethereum  0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48   \n",
       "5            NaN                                         NaN   \n",
       "6            NaN                                         NaN   \n",
       "7            NaN                                         NaN   \n",
       "8            NaN                                         NaN   \n",
       "9            NaN                                         NaN   \n",
       "10           NaN                                         NaN   \n",
       "11           NaN                                         NaN   \n",
       "12           bnb                                    BUSD-BD1   \n",
       "13      ethereum  0x95ad61b0a150d79219dcf64e1e6cc01f0b64c4ce   \n",
       "14           NaN                                         NaN   \n",
       "15           NaN                                         NaN   \n",
       "16           NaN                                         NaN   \n",
       "17      ethereum  0xdac17f958d2ee523a2206206994597c13d831ec7   \n",
       "18           NaN                                         NaN   \n",
       "19      ethereum  0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48   \n",
       "20           NaN                                         NaN   \n",
       "21           NaN                                         NaN   \n",
       "22           NaN                                         NaN   \n",
       "23           NaN                                         NaN   \n",
       "24           NaN                                         NaN   \n",
       "25           NaN                                         NaN   \n",
       "26           NaN                                         NaN   \n",
       "27           bnb                                    BUSD-BD1   \n",
       "28      ethereum  0x95ad61b0a150d79219dcf64e1e6cc01f0b64c4ce   \n",
       "29           NaN                                         NaN   \n",
       "\n",
       "                           timestamp  \n",
       "0   2023-04-28 01:12:31.868791+00:00  \n",
       "1   2023-04-28 01:12:31.868791+00:00  \n",
       "2   2023-04-28 01:12:31.868791+00:00  \n",
       "3   2023-04-28 01:12:31.868791+00:00  \n",
       "4   2023-04-28 01:12:31.868791+00:00  \n",
       "5   2023-04-28 01:12:31.868791+00:00  \n",
       "6   2023-04-28 01:12:31.868791+00:00  \n",
       "7   2023-04-28 01:12:31.868791+00:00  \n",
       "8   2023-04-28 01:12:31.868791+00:00  \n",
       "9   2023-04-28 01:12:31.868791+00:00  \n",
       "10  2023-04-28 01:12:31.868791+00:00  \n",
       "11  2023-04-28 01:12:31.868791+00:00  \n",
       "12  2023-04-28 01:12:31.868791+00:00  \n",
       "13  2023-04-28 01:12:31.868791+00:00  \n",
       "14  2023-04-28 01:12:31.868791+00:00  \n",
       "15  2023-04-28 01:13:32.382137+00:00  \n",
       "16  2023-04-28 01:13:32.382137+00:00  \n",
       "17  2023-04-28 01:13:32.382137+00:00  \n",
       "18  2023-04-28 01:13:32.382137+00:00  \n",
       "19  2023-04-28 01:13:32.382137+00:00  \n",
       "20  2023-04-28 01:13:32.382137+00:00  \n",
       "21  2023-04-28 01:13:32.382137+00:00  \n",
       "22  2023-04-28 01:13:32.382137+00:00  \n",
       "23  2023-04-28 01:13:32.382137+00:00  \n",
       "24  2023-04-28 01:13:32.382137+00:00  \n",
       "25  2023-04-28 01:13:32.382137+00:00  \n",
       "26  2023-04-28 01:13:32.382137+00:00  \n",
       "27  2023-04-28 01:13:32.382137+00:00  \n",
       "28  2023-04-28 01:13:32.382137+00:00  \n",
       "29  2023-04-28 01:13:32.382137+00:00  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5b0e9bc4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove first column that is unnecessary and like a secondindex column.\n",
    "# Remove all the columns that begin with the word \"platform\"\n",
    "# Remove additional unnecessary columns in different, more streamlined ways\n",
    "\n",
    "df_csv = df_csv.iloc[: , 1:]\n",
    "df_csv = df_csv[df_csv.columns.drop(list(df_csv.filter(regex='platform')))]\n",
    "df_csv = df_csv.drop(columns=['symbol', 'slug', 'num_market_pairs', 'tags', 'quote.USD.market_cap', 'quote.USD.market_cap_dominance', 'quote.USD.fully_diluted_market_cap', 'quote.USD.tvl' ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a79c4c04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<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>date_added</th>\n",
       "      <th>max_supply</th>\n",
       "      <th>circulating_supply</th>\n",
       "      <th>total_supply</th>\n",
       "      <th>infinite_supply</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.last_updated</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>2010-07-13T00:00:00.000Z</td>\n",
       "      <td>21000000.000000</td>\n",
       "      <td>19357968.000000</td>\n",
       "      <td>19357968.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>29506.796886</td>\n",
       "      <td>25466308464.086521</td>\n",
       "      <td>-24.055200</td>\n",
       "      <td>0.058513</td>\n",
       "      <td>1.292921</td>\n",
       "      <td>4.567623</td>\n",
       "      <td>8.100760</td>\n",
       "      <td>25.728075</td>\n",
       "      <td>27.530662</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1027</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>2015-08-07T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>120402439.830906</td>\n",
       "      <td>120402439.830906</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>1911.070093</td>\n",
       "      <td>13044724063.895599</td>\n",
       "      <td>-15.473300</td>\n",
       "      <td>0.095254</td>\n",
       "      <td>-0.477470</td>\n",
       "      <td>-1.713539</td>\n",
       "      <td>7.477595</td>\n",
       "      <td>16.917645</td>\n",
       "      <td>19.346157</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>825</td>\n",
       "      <td>Tether</td>\n",
       "      <td>2015-02-25T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81615536097.752090</td>\n",
       "      <td>85090638896.270859</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>1.000388</td>\n",
       "      <td>33538159474.227360</td>\n",
       "      <td>-26.542600</td>\n",
       "      <td>0.010438</td>\n",
       "      <td>0.034796</td>\n",
       "      <td>0.027791</td>\n",
       "      <td>0.007119</td>\n",
       "      <td>0.029825</td>\n",
       "      <td>0.024456</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1839</td>\n",
       "      <td>BNB</td>\n",
       "      <td>2017-07-25T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>155863259.817313</td>\n",
       "      <td>155863259.817313</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>328.413872</td>\n",
       "      <td>727210374.806210</td>\n",
       "      <td>-24.312500</td>\n",
       "      <td>-0.704347</td>\n",
       "      <td>-1.879310</td>\n",
       "      <td>3.053771</td>\n",
       "      <td>4.654638</td>\n",
       "      <td>6.676706</td>\n",
       "      <td>6.352007</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3408</td>\n",
       "      <td>USD Coin</td>\n",
       "      <td>2018-10-08T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30533726557.887390</td>\n",
       "      <td>30533726557.887390</td>\n",
       "      <td>False</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>0.999997</td>\n",
       "      <td>5171438693.055389</td>\n",
       "      <td>-26.878400</td>\n",
       "      <td>0.004218</td>\n",
       "      <td>0.014747</td>\n",
       "      <td>-0.004301</td>\n",
       "      <td>0.009770</td>\n",
       "      <td>0.006679</td>\n",
       "      <td>-0.001449</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>52</td>\n",
       "      <td>XRP</td>\n",
       "      <td>2013-08-04T00:00:00.000Z</td>\n",
       "      <td>100000000000.000000</td>\n",
       "      <td>51750810378.000000</td>\n",
       "      <td>99988998998.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>0.466048</td>\n",
       "      <td>1585765532.955254</td>\n",
       "      <td>-2.970400</td>\n",
       "      <td>-0.134230</td>\n",
       "      <td>-0.296868</td>\n",
       "      <td>-1.681885</td>\n",
       "      <td>-10.330474</td>\n",
       "      <td>23.494091</td>\n",
       "      <td>12.641648</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2010</td>\n",
       "      <td>Cardano</td>\n",
       "      <td>2017-10-01T00:00:00.000Z</td>\n",
       "      <td>45000000000.000000</td>\n",
       "      <td>34800090009.614998</td>\n",
       "      <td>35727842284.508003</td>\n",
       "      <td>False</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>0.410192</td>\n",
       "      <td>374702723.807436</td>\n",
       "      <td>-26.219100</td>\n",
       "      <td>-0.108566</td>\n",
       "      <td>0.035448</td>\n",
       "      <td>2.087348</td>\n",
       "      <td>11.637594</td>\n",
       "      <td>11.963655</td>\n",
       "      <td>3.432434</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>74</td>\n",
       "      <td>Dogecoin</td>\n",
       "      <td>2013-12-15T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>139117606383.705200</td>\n",
       "      <td>139117606383.705200</td>\n",
       "      <td>False</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>0.080235</td>\n",
       "      <td>397595568.301315</td>\n",
       "      <td>-47.048500</td>\n",
       "      <td>0.025566</td>\n",
       "      <td>0.170371</td>\n",
       "      <td>-4.582037</td>\n",
       "      <td>8.790896</td>\n",
       "      <td>-1.848901</td>\n",
       "      <td>-8.664337</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3890</td>\n",
       "      <td>Polygon</td>\n",
       "      <td>2019-04-28T00:00:00.000Z</td>\n",
       "      <td>10000000000.000000</td>\n",
       "      <td>9249469069.284929</td>\n",
       "      <td>10000000000.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>1.014176</td>\n",
       "      <td>493114809.871684</td>\n",
       "      <td>-27.487900</td>\n",
       "      <td>0.111692</td>\n",
       "      <td>0.077871</td>\n",
       "      <td>-3.609515</td>\n",
       "      <td>-6.829236</td>\n",
       "      <td>-20.080590</td>\n",
       "      <td>-11.909141</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>5426</td>\n",
       "      <td>Solana</td>\n",
       "      <td>2020-04-10T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>392894815.607193</td>\n",
       "      <td>539312704.887534</td>\n",
       "      <td>False</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>22.584120</td>\n",
       "      <td>457125979.947695</td>\n",
       "      <td>-38.610200</td>\n",
       "      <td>0.827657</td>\n",
       "      <td>2.872215</td>\n",
       "      <td>1.602596</td>\n",
       "      <td>9.526555</td>\n",
       "      <td>-2.033064</td>\n",
       "      <td>-8.285655</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>6636</td>\n",
       "      <td>Polkadot</td>\n",
       "      <td>2020-08-19T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1178075036.880687</td>\n",
       "      <td>1307553914.185867</td>\n",
       "      <td>False</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>5.969939</td>\n",
       "      <td>167830818.400800</td>\n",
       "      <td>-36.369200</td>\n",
       "      <td>-0.125949</td>\n",
       "      <td>-0.367636</td>\n",
       "      <td>-2.784598</td>\n",
       "      <td>-1.700566</td>\n",
       "      <td>-10.341661</td>\n",
       "      <td>-9.878868</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2</td>\n",
       "      <td>Litecoin</td>\n",
       "      <td>2013-04-28T00:00:00.000Z</td>\n",
       "      <td>84000000.000000</td>\n",
       "      <td>72799864.320805</td>\n",
       "      <td>84000000.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>89.676575</td>\n",
       "      <td>518575785.926220</td>\n",
       "      <td>-38.867200</td>\n",
       "      <td>-0.110465</td>\n",
       "      <td>-0.430383</td>\n",
       "      <td>-0.776926</td>\n",
       "      <td>0.498966</td>\n",
       "      <td>-5.318614</td>\n",
       "      <td>0.924612</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4687</td>\n",
       "      <td>Binance USD</td>\n",
       "      <td>2019-09-20T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6280952229.493376</td>\n",
       "      <td>6280952229.493376</td>\n",
       "      <td>False</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>0.999875</td>\n",
       "      <td>3416102706.394595</td>\n",
       "      <td>-21.053500</td>\n",
       "      <td>-0.013367</td>\n",
       "      <td>-0.004625</td>\n",
       "      <td>0.005804</td>\n",
       "      <td>-0.033183</td>\n",
       "      <td>-0.035680</td>\n",
       "      <td>-0.043221</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5994</td>\n",
       "      <td>Shiba Inu</td>\n",
       "      <td>2020-08-01T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>589543832993340.125000</td>\n",
       "      <td>589604810668664.375000</td>\n",
       "      <td>False</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>112464201.518790</td>\n",
       "      <td>-45.243700</td>\n",
       "      <td>-0.088918</td>\n",
       "      <td>-0.501645</td>\n",
       "      <td>-3.407074</td>\n",
       "      <td>-1.980722</td>\n",
       "      <td>-19.467642</td>\n",
       "      <td>-12.824911</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1958</td>\n",
       "      <td>TRON</td>\n",
       "      <td>2017-09-13T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90657026411.827164</td>\n",
       "      <td>90657037484.691605</td>\n",
       "      <td>False</td>\n",
       "      <td>15</td>\n",
       "      <td>71659659264.000000</td>\n",
       "      <td>4718953875.782639</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>0.065852</td>\n",
       "      <td>183541144.464155</td>\n",
       "      <td>-32.047700</td>\n",
       "      <td>0.075820</td>\n",
       "      <td>0.106616</td>\n",
       "      <td>0.679183</td>\n",
       "      <td>2.202890</td>\n",
       "      <td>-5.095414</td>\n",
       "      <td>3.350478</td>\n",
       "      <td>2023-04-28T01:11:00.000Z</td>\n",
       "      <td>2023-04-28 01:12:31.868791+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>Bitcoin</td>\n",
       "      <td>2010-07-13T00:00:00.000Z</td>\n",
       "      <td>21000000.000000</td>\n",
       "      <td>19357968.000000</td>\n",
       "      <td>19357968.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>29496.268213</td>\n",
       "      <td>25455688489.068325</td>\n",
       "      <td>-24.152500</td>\n",
       "      <td>0.072494</td>\n",
       "      <td>1.233326</td>\n",
       "      <td>4.510477</td>\n",
       "      <td>7.917959</td>\n",
       "      <td>25.678910</td>\n",
       "      <td>27.471945</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1027</td>\n",
       "      <td>Ethereum</td>\n",
       "      <td>2015-08-07T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>120402439.830906</td>\n",
       "      <td>120402439.830906</td>\n",
       "      <td>False</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>1910.235857</td>\n",
       "      <td>13042085754.487860</td>\n",
       "      <td>-15.551300</td>\n",
       "      <td>0.093072</td>\n",
       "      <td>-0.517508</td>\n",
       "      <td>-1.781945</td>\n",
       "      <td>7.268638</td>\n",
       "      <td>16.862477</td>\n",
       "      <td>19.284099</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>825</td>\n",
       "      <td>Tether</td>\n",
       "      <td>2015-02-25T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>81615536097.752090</td>\n",
       "      <td>85090638896.270859</td>\n",
       "      <td>False</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>1.000328</td>\n",
       "      <td>33528787823.392529</td>\n",
       "      <td>-26.644500</td>\n",
       "      <td>0.005022</td>\n",
       "      <td>0.033409</td>\n",
       "      <td>0.020207</td>\n",
       "      <td>-0.003016</td>\n",
       "      <td>0.023343</td>\n",
       "      <td>0.017038</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1839</td>\n",
       "      <td>BNB</td>\n",
       "      <td>2017-07-25T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>155863259.817313</td>\n",
       "      <td>155863259.817313</td>\n",
       "      <td>False</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>328.243036</td>\n",
       "      <td>727160468.484402</td>\n",
       "      <td>-24.385300</td>\n",
       "      <td>-0.693438</td>\n",
       "      <td>-1.973561</td>\n",
       "      <td>2.993300</td>\n",
       "      <td>4.564344</td>\n",
       "      <td>6.614302</td>\n",
       "      <td>6.297442</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>3408</td>\n",
       "      <td>USD Coin</td>\n",
       "      <td>2018-10-08T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30533726557.887390</td>\n",
       "      <td>30533726557.887390</td>\n",
       "      <td>False</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>0.999945</td>\n",
       "      <td>5170904432.284743</td>\n",
       "      <td>-26.945400</td>\n",
       "      <td>0.002551</td>\n",
       "      <td>0.008675</td>\n",
       "      <td>-0.023124</td>\n",
       "      <td>0.000106</td>\n",
       "      <td>-0.000366</td>\n",
       "      <td>-0.014868</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>52</td>\n",
       "      <td>XRP</td>\n",
       "      <td>2013-08-04T00:00:00.000Z</td>\n",
       "      <td>100000000000.000000</td>\n",
       "      <td>51750810378.000000</td>\n",
       "      <td>99988998998.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>0.465941</td>\n",
       "      <td>1585098121.209140</td>\n",
       "      <td>-3.092600</td>\n",
       "      <td>-0.137245</td>\n",
       "      <td>-0.327543</td>\n",
       "      <td>-1.707961</td>\n",
       "      <td>-10.370698</td>\n",
       "      <td>23.465632</td>\n",
       "      <td>12.628803</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2010</td>\n",
       "      <td>Cardano</td>\n",
       "      <td>2017-10-01T00:00:00.000Z</td>\n",
       "      <td>45000000000.000000</td>\n",
       "      <td>34800090009.614998</td>\n",
       "      <td>35727842284.508003</td>\n",
       "      <td>False</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>0.410097</td>\n",
       "      <td>374672455.031408</td>\n",
       "      <td>-26.265500</td>\n",
       "      <td>-0.108008</td>\n",
       "      <td>-0.000194</td>\n",
       "      <td>2.059801</td>\n",
       "      <td>11.579574</td>\n",
       "      <td>11.936116</td>\n",
       "      <td>3.414855</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>74</td>\n",
       "      <td>Dogecoin</td>\n",
       "      <td>2013-12-15T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>139117606383.705200</td>\n",
       "      <td>139117606383.705200</td>\n",
       "      <td>False</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>0.080211</td>\n",
       "      <td>397655072.944111</td>\n",
       "      <td>-47.067200</td>\n",
       "      <td>0.002069</td>\n",
       "      <td>0.120476</td>\n",
       "      <td>-4.618892</td>\n",
       "      <td>8.734357</td>\n",
       "      <td>-1.889375</td>\n",
       "      <td>-8.693776</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>3890</td>\n",
       "      <td>Polygon</td>\n",
       "      <td>2019-04-28T00:00:00.000Z</td>\n",
       "      <td>10000000000.000000</td>\n",
       "      <td>9249469069.284929</td>\n",
       "      <td>10000000000.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>1.013757</td>\n",
       "      <td>493011276.293557</td>\n",
       "      <td>-27.542600</td>\n",
       "      <td>0.092467</td>\n",
       "      <td>0.019251</td>\n",
       "      <td>-3.654247</td>\n",
       "      <td>-6.882556</td>\n",
       "      <td>-20.116167</td>\n",
       "      <td>-11.958570</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>5426</td>\n",
       "      <td>Solana</td>\n",
       "      <td>2020-04-10T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>392894815.607193</td>\n",
       "      <td>539312704.887534</td>\n",
       "      <td>False</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>22.581118</td>\n",
       "      <td>456869278.969472</td>\n",
       "      <td>-38.706100</td>\n",
       "      <td>0.848464</td>\n",
       "      <td>2.838949</td>\n",
       "      <td>1.561446</td>\n",
       "      <td>9.461885</td>\n",
       "      <td>-2.052123</td>\n",
       "      <td>-8.303404</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>6636</td>\n",
       "      <td>Polkadot</td>\n",
       "      <td>2020-08-19T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1178075036.880687</td>\n",
       "      <td>1307553914.185867</td>\n",
       "      <td>False</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>5.966781</td>\n",
       "      <td>167748125.142033</td>\n",
       "      <td>-36.461900</td>\n",
       "      <td>-0.149649</td>\n",
       "      <td>-0.449677</td>\n",
       "      <td>-2.841935</td>\n",
       "      <td>-1.769014</td>\n",
       "      <td>-10.393987</td>\n",
       "      <td>-9.913495</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2</td>\n",
       "      <td>Litecoin</td>\n",
       "      <td>2013-04-28T00:00:00.000Z</td>\n",
       "      <td>84000000.000000</td>\n",
       "      <td>72799864.320805</td>\n",
       "      <td>84000000.000000</td>\n",
       "      <td>False</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>89.661656</td>\n",
       "      <td>518560620.438799</td>\n",
       "      <td>-38.916600</td>\n",
       "      <td>-0.106580</td>\n",
       "      <td>-0.454092</td>\n",
       "      <td>-0.801534</td>\n",
       "      <td>0.465438</td>\n",
       "      <td>-5.341446</td>\n",
       "      <td>0.909994</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>4687</td>\n",
       "      <td>Binance USD</td>\n",
       "      <td>2019-09-20T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6280952229.493376</td>\n",
       "      <td>6280952229.493376</td>\n",
       "      <td>False</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>1.000106</td>\n",
       "      <td>3414867576.745991</td>\n",
       "      <td>-21.127900</td>\n",
       "      <td>0.018843</td>\n",
       "      <td>0.011703</td>\n",
       "      <td>0.028220</td>\n",
       "      <td>-0.013761</td>\n",
       "      <td>-0.014280</td>\n",
       "      <td>0.040230</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>5994</td>\n",
       "      <td>Shiba Inu</td>\n",
       "      <td>2020-08-01T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>589543832993340.125000</td>\n",
       "      <td>589604810668664.375000</td>\n",
       "      <td>False</td>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>112442496.794049</td>\n",
       "      <td>-45.300200</td>\n",
       "      <td>-0.073218</td>\n",
       "      <td>-0.533922</td>\n",
       "      <td>-3.436574</td>\n",
       "      <td>-2.005502</td>\n",
       "      <td>-19.472010</td>\n",
       "      <td>-12.852114</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1958</td>\n",
       "      <td>TRON</td>\n",
       "      <td>2017-09-13T00:00:00.000Z</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90657026411.827164</td>\n",
       "      <td>90657037484.691605</td>\n",
       "      <td>False</td>\n",
       "      <td>15</td>\n",
       "      <td>71659659264.000000</td>\n",
       "      <td>4718186921.576477</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>0.065842</td>\n",
       "      <td>183519075.382486</td>\n",
       "      <td>-32.099000</td>\n",
       "      <td>0.072186</td>\n",
       "      <td>0.079625</td>\n",
       "      <td>0.648364</td>\n",
       "      <td>2.168105</td>\n",
       "      <td>-5.107525</td>\n",
       "      <td>3.347827</td>\n",
       "      <td>2023-04-28T01:12:00.000Z</td>\n",
       "      <td>2023-04-28 01:13:32.382137+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      id         name                date_added           max_supply  \\\n",
       "0      1      Bitcoin  2010-07-13T00:00:00.000Z      21000000.000000   \n",
       "1   1027     Ethereum  2015-08-07T00:00:00.000Z                  NaN   \n",
       "2    825       Tether  2015-02-25T00:00:00.000Z                  NaN   \n",
       "3   1839          BNB  2017-07-25T00:00:00.000Z                  NaN   \n",
       "4   3408     USD Coin  2018-10-08T00:00:00.000Z                  NaN   \n",
       "5     52          XRP  2013-08-04T00:00:00.000Z  100000000000.000000   \n",
       "6   2010      Cardano  2017-10-01T00:00:00.000Z   45000000000.000000   \n",
       "7     74     Dogecoin  2013-12-15T00:00:00.000Z                  NaN   \n",
       "8   3890      Polygon  2019-04-28T00:00:00.000Z   10000000000.000000   \n",
       "9   5426       Solana  2020-04-10T00:00:00.000Z                  NaN   \n",
       "10  6636     Polkadot  2020-08-19T00:00:00.000Z                  NaN   \n",
       "11     2     Litecoin  2013-04-28T00:00:00.000Z      84000000.000000   \n",
       "12  4687  Binance USD  2019-09-20T00:00:00.000Z                  NaN   \n",
       "13  5994    Shiba Inu  2020-08-01T00:00:00.000Z                  NaN   \n",
       "14  1958         TRON  2017-09-13T00:00:00.000Z                  NaN   \n",
       "15     1      Bitcoin  2010-07-13T00:00:00.000Z      21000000.000000   \n",
       "16  1027     Ethereum  2015-08-07T00:00:00.000Z                  NaN   \n",
       "17   825       Tether  2015-02-25T00:00:00.000Z                  NaN   \n",
       "18  1839          BNB  2017-07-25T00:00:00.000Z                  NaN   \n",
       "19  3408     USD Coin  2018-10-08T00:00:00.000Z                  NaN   \n",
       "20    52          XRP  2013-08-04T00:00:00.000Z  100000000000.000000   \n",
       "21  2010      Cardano  2017-10-01T00:00:00.000Z   45000000000.000000   \n",
       "22    74     Dogecoin  2013-12-15T00:00:00.000Z                  NaN   \n",
       "23  3890      Polygon  2019-04-28T00:00:00.000Z   10000000000.000000   \n",
       "24  5426       Solana  2020-04-10T00:00:00.000Z                  NaN   \n",
       "25  6636     Polkadot  2020-08-19T00:00:00.000Z                  NaN   \n",
       "26     2     Litecoin  2013-04-28T00:00:00.000Z      84000000.000000   \n",
       "27  4687  Binance USD  2019-09-20T00:00:00.000Z                  NaN   \n",
       "28  5994    Shiba Inu  2020-08-01T00:00:00.000Z                  NaN   \n",
       "29  1958         TRON  2017-09-13T00:00:00.000Z                  NaN   \n",
       "\n",
       "        circulating_supply            total_supply  infinite_supply  cmc_rank  \\\n",
       "0          19357968.000000         19357968.000000            False         1   \n",
       "1         120402439.830906        120402439.830906            False         2   \n",
       "2       81615536097.752090      85090638896.270859            False         3   \n",
       "3         155863259.817313        155863259.817313            False         4   \n",
       "4       30533726557.887390      30533726557.887390            False         5   \n",
       "5       51750810378.000000      99988998998.000000            False         6   \n",
       "6       34800090009.614998      35727842284.508003            False         7   \n",
       "7      139117606383.705200     139117606383.705200            False         8   \n",
       "8        9249469069.284929      10000000000.000000            False         9   \n",
       "9         392894815.607193        539312704.887534            False        10   \n",
       "10       1178075036.880687       1307553914.185867            False        11   \n",
       "11         72799864.320805         84000000.000000            False        12   \n",
       "12       6280952229.493376       6280952229.493376            False        13   \n",
       "13  589543832993340.125000  589604810668664.375000            False        14   \n",
       "14      90657026411.827164      90657037484.691605            False        15   \n",
       "15         19357968.000000         19357968.000000            False         1   \n",
       "16        120402439.830906        120402439.830906            False         2   \n",
       "17      81615536097.752090      85090638896.270859            False         3   \n",
       "18        155863259.817313        155863259.817313            False         4   \n",
       "19      30533726557.887390      30533726557.887390            False         5   \n",
       "20      51750810378.000000      99988998998.000000            False         6   \n",
       "21      34800090009.614998      35727842284.508003            False         7   \n",
       "22     139117606383.705200     139117606383.705200            False         8   \n",
       "23       9249469069.284929      10000000000.000000            False         9   \n",
       "24        392894815.607193        539312704.887534            False        10   \n",
       "25       1178075036.880687       1307553914.185867            False        11   \n",
       "26         72799864.320805         84000000.000000            False        12   \n",
       "27       6280952229.493376       6280952229.493376            False        13   \n",
       "28  589543832993340.125000  589604810668664.375000            False        14   \n",
       "29      90657026411.827164      90657037484.691605            False        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",
       "5                                NaN                       NaN        NaN   \n",
       "6                                NaN                       NaN        NaN   \n",
       "7                                NaN                       NaN        NaN   \n",
       "8                                NaN                       NaN        NaN   \n",
       "9                                NaN                       NaN        NaN   \n",
       "10                               NaN                       NaN        NaN   \n",
       "11                               NaN                       NaN        NaN   \n",
       "12                               NaN                       NaN        NaN   \n",
       "13                               NaN                       NaN        NaN   \n",
       "14                71659659264.000000         4718953875.782639        NaN   \n",
       "15                               NaN                       NaN        NaN   \n",
       "16                               NaN                       NaN        NaN   \n",
       "17                               NaN                       NaN        NaN   \n",
       "18                               NaN                       NaN        NaN   \n",
       "19                               NaN                       NaN        NaN   \n",
       "20                               NaN                       NaN        NaN   \n",
       "21                               NaN                       NaN        NaN   \n",
       "22                               NaN                       NaN        NaN   \n",
       "23                               NaN                       NaN        NaN   \n",
       "24                               NaN                       NaN        NaN   \n",
       "25                               NaN                       NaN        NaN   \n",
       "26                               NaN                       NaN        NaN   \n",
       "27                               NaN                       NaN        NaN   \n",
       "28                               NaN                       NaN        NaN   \n",
       "29                71659659264.000000         4718186921.576477        NaN   \n",
       "\n",
       "                last_updated  quote.USD.price  quote.USD.volume_24h  \\\n",
       "0   2023-04-28T01:11:00.000Z     29506.796886    25466308464.086521   \n",
       "1   2023-04-28T01:11:00.000Z      1911.070093    13044724063.895599   \n",
       "2   2023-04-28T01:11:00.000Z         1.000388    33538159474.227360   \n",
       "3   2023-04-28T01:11:00.000Z       328.413872      727210374.806210   \n",
       "4   2023-04-28T01:11:00.000Z         0.999997     5171438693.055389   \n",
       "5   2023-04-28T01:11:00.000Z         0.466048     1585765532.955254   \n",
       "6   2023-04-28T01:11:00.000Z         0.410192      374702723.807436   \n",
       "7   2023-04-28T01:11:00.000Z         0.080235      397595568.301315   \n",
       "8   2023-04-28T01:11:00.000Z         1.014176      493114809.871684   \n",
       "9   2023-04-28T01:11:00.000Z        22.584120      457125979.947695   \n",
       "10  2023-04-28T01:11:00.000Z         5.969939      167830818.400800   \n",
       "11  2023-04-28T01:11:00.000Z        89.676575      518575785.926220   \n",
       "12  2023-04-28T01:11:00.000Z         0.999875     3416102706.394595   \n",
       "13  2023-04-28T01:11:00.000Z         0.000010      112464201.518790   \n",
       "14  2023-04-28T01:11:00.000Z         0.065852      183541144.464155   \n",
       "15  2023-04-28T01:12:00.000Z     29496.268213    25455688489.068325   \n",
       "16  2023-04-28T01:12:00.000Z      1910.235857    13042085754.487860   \n",
       "17  2023-04-28T01:12:00.000Z         1.000328    33528787823.392529   \n",
       "18  2023-04-28T01:12:00.000Z       328.243036      727160468.484402   \n",
       "19  2023-04-28T01:12:00.000Z         0.999945     5170904432.284743   \n",
       "20  2023-04-28T01:12:00.000Z         0.465941     1585098121.209140   \n",
       "21  2023-04-28T01:12:00.000Z         0.410097      374672455.031408   \n",
       "22  2023-04-28T01:12:00.000Z         0.080211      397655072.944111   \n",
       "23  2023-04-28T01:12:00.000Z         1.013757      493011276.293557   \n",
       "24  2023-04-28T01:12:00.000Z        22.581118      456869278.969472   \n",
       "25  2023-04-28T01:12:00.000Z         5.966781      167748125.142033   \n",
       "26  2023-04-28T01:12:00.000Z        89.661656      518560620.438799   \n",
       "27  2023-04-28T01:12:00.000Z         1.000106     3414867576.745991   \n",
       "28  2023-04-28T01:12:00.000Z         0.000010      112442496.794049   \n",
       "29  2023-04-28T01:12:00.000Z         0.065842      183519075.382486   \n",
       "\n",
       "    quote.USD.volume_change_24h  quote.USD.percent_change_1h  \\\n",
       "0                    -24.055200                     0.058513   \n",
       "1                    -15.473300                     0.095254   \n",
       "2                    -26.542600                     0.010438   \n",
       "3                    -24.312500                    -0.704347   \n",
       "4                    -26.878400                     0.004218   \n",
       "5                     -2.970400                    -0.134230   \n",
       "6                    -26.219100                    -0.108566   \n",
       "7                    -47.048500                     0.025566   \n",
       "8                    -27.487900                     0.111692   \n",
       "9                    -38.610200                     0.827657   \n",
       "10                   -36.369200                    -0.125949   \n",
       "11                   -38.867200                    -0.110465   \n",
       "12                   -21.053500                    -0.013367   \n",
       "13                   -45.243700                    -0.088918   \n",
       "14                   -32.047700                     0.075820   \n",
       "15                   -24.152500                     0.072494   \n",
       "16                   -15.551300                     0.093072   \n",
       "17                   -26.644500                     0.005022   \n",
       "18                   -24.385300                    -0.693438   \n",
       "19                   -26.945400                     0.002551   \n",
       "20                    -3.092600                    -0.137245   \n",
       "21                   -26.265500                    -0.108008   \n",
       "22                   -47.067200                     0.002069   \n",
       "23                   -27.542600                     0.092467   \n",
       "24                   -38.706100                     0.848464   \n",
       "25                   -36.461900                    -0.149649   \n",
       "26                   -38.916600                    -0.106580   \n",
       "27                   -21.127900                     0.018843   \n",
       "28                   -45.300200                    -0.073218   \n",
       "29                   -32.099000                     0.072186   \n",
       "\n",
       "    quote.USD.percent_change_24h  quote.USD.percent_change_7d  \\\n",
       "0                       1.292921                     4.567623   \n",
       "1                      -0.477470                    -1.713539   \n",
       "2                       0.034796                     0.027791   \n",
       "3                      -1.879310                     3.053771   \n",
       "4                       0.014747                    -0.004301   \n",
       "5                      -0.296868                    -1.681885   \n",
       "6                       0.035448                     2.087348   \n",
       "7                       0.170371                    -4.582037   \n",
       "8                       0.077871                    -3.609515   \n",
       "9                       2.872215                     1.602596   \n",
       "10                     -0.367636                    -2.784598   \n",
       "11                     -0.430383                    -0.776926   \n",
       "12                     -0.004625                     0.005804   \n",
       "13                     -0.501645                    -3.407074   \n",
       "14                      0.106616                     0.679183   \n",
       "15                      1.233326                     4.510477   \n",
       "16                     -0.517508                    -1.781945   \n",
       "17                      0.033409                     0.020207   \n",
       "18                     -1.973561                     2.993300   \n",
       "19                      0.008675                    -0.023124   \n",
       "20                     -0.327543                    -1.707961   \n",
       "21                     -0.000194                     2.059801   \n",
       "22                      0.120476                    -4.618892   \n",
       "23                      0.019251                    -3.654247   \n",
       "24                      2.838949                     1.561446   \n",
       "25                     -0.449677                    -2.841935   \n",
       "26                     -0.454092                    -0.801534   \n",
       "27                      0.011703                     0.028220   \n",
       "28                     -0.533922                    -3.436574   \n",
       "29                      0.079625                     0.648364   \n",
       "\n",
       "    quote.USD.percent_change_30d  quote.USD.percent_change_60d  \\\n",
       "0                       8.100760                     25.728075   \n",
       "1                       7.477595                     16.917645   \n",
       "2                       0.007119                      0.029825   \n",
       "3                       4.654638                      6.676706   \n",
       "4                       0.009770                      0.006679   \n",
       "5                     -10.330474                     23.494091   \n",
       "6                      11.637594                     11.963655   \n",
       "7                       8.790896                     -1.848901   \n",
       "8                      -6.829236                    -20.080590   \n",
       "9                       9.526555                     -2.033064   \n",
       "10                     -1.700566                    -10.341661   \n",
       "11                      0.498966                     -5.318614   \n",
       "12                     -0.033183                     -0.035680   \n",
       "13                     -1.980722                    -19.467642   \n",
       "14                      2.202890                     -5.095414   \n",
       "15                      7.917959                     25.678910   \n",
       "16                      7.268638                     16.862477   \n",
       "17                     -0.003016                      0.023343   \n",
       "18                      4.564344                      6.614302   \n",
       "19                      0.000106                     -0.000366   \n",
       "20                    -10.370698                     23.465632   \n",
       "21                     11.579574                     11.936116   \n",
       "22                      8.734357                     -1.889375   \n",
       "23                     -6.882556                    -20.116167   \n",
       "24                      9.461885                     -2.052123   \n",
       "25                     -1.769014                    -10.393987   \n",
       "26                      0.465438                     -5.341446   \n",
       "27                     -0.013761                     -0.014280   \n",
       "28                     -2.005502                    -19.472010   \n",
       "29                      2.168105                     -5.107525   \n",
       "\n",
       "    quote.USD.percent_change_90d    quote.USD.last_updated  \\\n",
       "0                      27.530662  2023-04-28T01:11:00.000Z   \n",
       "1                      19.346157  2023-04-28T01:11:00.000Z   \n",
       "2                       0.024456  2023-04-28T01:11:00.000Z   \n",
       "3                       6.352007  2023-04-28T01:11:00.000Z   \n",
       "4                      -0.001449  2023-04-28T01:11:00.000Z   \n",
       "5                      12.641648  2023-04-28T01:11:00.000Z   \n",
       "6                       3.432434  2023-04-28T01:11:00.000Z   \n",
       "7                      -8.664337  2023-04-28T01:11:00.000Z   \n",
       "8                     -11.909141  2023-04-28T01:11:00.000Z   \n",
       "9                      -8.285655  2023-04-28T01:11:00.000Z   \n",
       "10                     -9.878868  2023-04-28T01:11:00.000Z   \n",
       "11                      0.924612  2023-04-28T01:11:00.000Z   \n",
       "12                     -0.043221  2023-04-28T01:11:00.000Z   \n",
       "13                    -12.824911  2023-04-28T01:11:00.000Z   \n",
       "14                      3.350478  2023-04-28T01:11:00.000Z   \n",
       "15                     27.471945  2023-04-28T01:12:00.000Z   \n",
       "16                     19.284099  2023-04-28T01:12:00.000Z   \n",
       "17                      0.017038  2023-04-28T01:12:00.000Z   \n",
       "18                      6.297442  2023-04-28T01:12:00.000Z   \n",
       "19                     -0.014868  2023-04-28T01:12:00.000Z   \n",
       "20                     12.628803  2023-04-28T01:12:00.000Z   \n",
       "21                      3.414855  2023-04-28T01:12:00.000Z   \n",
       "22                     -8.693776  2023-04-28T01:12:00.000Z   \n",
       "23                    -11.958570  2023-04-28T01:12:00.000Z   \n",
       "24                     -8.303404  2023-04-28T01:12:00.000Z   \n",
       "25                     -9.913495  2023-04-28T01:12:00.000Z   \n",
       "26                      0.909994  2023-04-28T01:12:00.000Z   \n",
       "27                      0.040230  2023-04-28T01:12:00.000Z   \n",
       "28                    -12.852114  2023-04-28T01:12:00.000Z   \n",
       "29                      3.347827  2023-04-28T01:12:00.000Z   \n",
       "\n",
       "                           timestamp  \n",
       "0   2023-04-28 01:12:31.868791+00:00  \n",
       "1   2023-04-28 01:12:31.868791+00:00  \n",
       "2   2023-04-28 01:12:31.868791+00:00  \n",
       "3   2023-04-28 01:12:31.868791+00:00  \n",
       "4   2023-04-28 01:12:31.868791+00:00  \n",
       "5   2023-04-28 01:12:31.868791+00:00  \n",
       "6   2023-04-28 01:12:31.868791+00:00  \n",
       "7   2023-04-28 01:12:31.868791+00:00  \n",
       "8   2023-04-28 01:12:31.868791+00:00  \n",
       "9   2023-04-28 01:12:31.868791+00:00  \n",
       "10  2023-04-28 01:12:31.868791+00:00  \n",
       "11  2023-04-28 01:12:31.868791+00:00  \n",
       "12  2023-04-28 01:12:31.868791+00:00  \n",
       "13  2023-04-28 01:12:31.868791+00:00  \n",
       "14  2023-04-28 01:12:31.868791+00:00  \n",
       "15  2023-04-28 01:13:32.382137+00:00  \n",
       "16  2023-04-28 01:13:32.382137+00:00  \n",
       "17  2023-04-28 01:13:32.382137+00:00  \n",
       "18  2023-04-28 01:13:32.382137+00:00  \n",
       "19  2023-04-28 01:13:32.382137+00:00  \n",
       "20  2023-04-28 01:13:32.382137+00:00  \n",
       "21  2023-04-28 01:13:32.382137+00:00  \n",
       "22  2023-04-28 01:13:32.382137+00:00  \n",
       "23  2023-04-28 01:13:32.382137+00:00  \n",
       "24  2023-04-28 01:13:32.382137+00:00  \n",
       "25  2023-04-28 01:13:32.382137+00:00  \n",
       "26  2023-04-28 01:13:32.382137+00:00  \n",
       "27  2023-04-28 01:13:32.382137+00:00  \n",
       "28  2023-04-28 01:13:32.382137+00:00  \n",
       "29  2023-04-28 01:13:32.382137+00:00  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "8fb0a321",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Using one set of data, one API call. Let's get a feel for the marketshare of\n",
    "# each, and also get a taste of doing a data visualization with the data.\n",
    "\n",
    "df.set_index('name', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "d7c86f54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Using one set of data, one API call. Let's get a feel for the marketshare of\n",
    "# each, and also get a taste of doing a data visualization with the data.\n",
    "\n",
    "plot = df.plot.pie(y='quote.USD.market_cap_dominance', figsize=(10, 10),\n",
    "                   title='Market Share - Crypto Currencies', shadow=True, ylabel='', )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "015a2d2d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}