将 API 响应转换为 Python Pandas 数据帧

Question

Dear community experts

I have an API returning the following structure that I need to convert into a pandas data frame. How could I do to create such Data Frame?.

Thanks, Hernan

[{'quoteSymbol': 'USDT',
  'baseSymbol': 'ETH',
  'orderBooks': [{'exchange': 'Bittrex',
    'orderBook': {'asks': [{'price': '2112.20173745',
       'quantity': '1.41879654'},
      {'price': '2112.38300246', 'quantity': '1.41868464'},
      {'price': '2112.56760000', 'quantity': '0.00209173'}],
     'bids': [{'price': '2111.08708148', 'quantity': '1.41874566'},
      {'price': '2110.87591399', 'quantity': '1.41874566'},
      {'price': '2110.73500000', 'quantity': '2.35200000'}]}},
   {'exchange': 'Binance',
    'orderBook': {'asks': [{'price': '2092.91000000',
       'quantity': '27.01387000'},
      {'price': '2092.96000000', 'quantity': '3.34463000'},
      {'price': '2092.97000000', 'quantity': '8.13200000'}],
     'bids': [{'price': '2112.52000000', 'quantity': '1.45438000'},
      {'price': '2112.36000000', 'quantity': '0.45074000'},
      {'price': '2112.35000000', 'quantity': '0.97545000'}]}},
   {'exchange': 'Bitstamp', 'orderBook': None}]}

Answer 1

My suggestion is to first transform the JSON you have into a list of dictionaries. Each dictionary should have keys that correspond to the columns you want in the final dataframe.