Yahoo Finance API无法使用时，获取实时数据集并展示的替代方案

• 直接使用yfinance库
  pandas_datareader的Yahoo数据源常出现访问问题，直接用yfinance官方库更稳定：

  import yfinance as yf
  import pandas as pd
  
  start = '2010-01-01'
  end = '2019-12-31'
  df = yf.download('AAPL', start=start, end=end)
  print(df.head())
  

• Alpha Vantage API
  提供免费API密钥，支持实时/历史股票、加密货币等数据：

  import requests
  import pandas as pd
  
  api_key = "你的API密钥"
  symbol = "AAPL"
  url = f"https://www.alphavantage.co/query?function=TIME_SERIES_DAILY&symbol={symbol}&apikey={api_key}&outputsize=full"
  response = requests.get(url)
  data = response.json()
  df = pd.DataFrame(data['Time Series (Daily)']).T
  df = df.astype(float)
  print(df.head())
  

• Polygon.io API
  免费层级可获取实时股票、期权数据，数据精度较高：

  import requests
  import pandas as pd
  
  api_key = "你的API密钥"
  symbol = "AAPL"
  url = f"https://api.polygon.io/v2/aggs/ticker/{symbol}/range/1/day/2010-01-01/2019-12-31?apiKey={api_key}"
  response = requests.get(url)
  data = response.json()
  df = pd.DataFrame(data['results'])
  df['timestamp'] = pd.to_datetime(df['t'], unit='ms')
  print(df.head())
  

• Tiingo API
  免费额度满足个人使用需求，支持股票、ETF等多类资产数据：

  import pandas as pd
  import tiingo
  
  client = tiingo.TiingoClient({'api_key': '你的API密钥'})
  df = client.get_ticker_price('AAPL', startDate='2010-01-01', endDate='2019-12-31', frequency='daily')
  print(df.head())
  

内容的提问来源于stack exchange，提问作者Angel Verma