如何將字典轉換爲數據框

對於我的具體項目，我使用彭博服務API爲股票報價請求一些歷史數據點。他們給我的字典形式的輸出，但我需要將其轉換成更易於管理的DataFrame。到目前爲止，所有解決方案都顯得非常複雜有沒有一種簡單的pythonic方式來完成這件事？

謝謝！

的代碼生成輸出的片段：

def main(): 
    output = {} 
    options = parseCmdLine() 

    # Fill SessionOptions 
    sessionOptions = blpapi.SessionOptions() 
    sessionOptions.setServerHost(options.host) 
    sessionOptions.setServerPort(options.port) 

    print ("Connecting to %s:%s" % (options.host, options.port)) 
    # Create a Session 
    session = blpapi.Session(sessionOptions) 

    # Start a Session 
    if not session.start(): 
     print ("Failed to start session.") 
     return 

    try: 
     # Open service to get historical data from 
     if not session.openService("//blp/refdata"): 
      print ("Failed to open //blp/refdata") 
      return 

     # Obtain previously opened service 
     refDataService = session.getService("//blp/refdata") 

     # Create and fill the request for the historical data 
     request = refDataService.createRequest("HistoricalDataRequest") 
     request.getElement("fields").appendValue("BEST_SALES") 
     request.getElement("fields").appendValue("BEST_EBITDA") 
     request.getElement("fields").appendValue("BEST_EPS") 
     request.getElement("fields").appendValue("CURR_ENTP_VAL") 
     request.getElement("fields").appendValue("CUR_MKT_CAP") 
     request.getElement("fields").appendValue("LAST_PRICE") 
     # Elements passed to it 
     request.getElement("securities").appendValue("MSFT US Equity") 

     # Add overrides 
     overrides = request.getElement("overrides") 
     override1 = overrides.appendElement() 
     override1.setElement("fieldId", "BEST_FPERIOD_OVERRIDE") 
     override1.setElement("value", "1FY") 
     override2 = overrides.appendElement() 
     override2.setElement("fieldId", "BEST_CONSOLIDATED_OVERRIDE") 
     override2.setElement("value", "C") 
     override3 = overrides.appendElement() 
     override3.setElement("fieldId", "EQY_FUND_CRNCY") 
     override3.setElement("value", "USD") 
     # Add historical adjustments 
     request.set("periodicityAdjustment", "ACTUAL") 
     request.set("periodicitySelection", "DAILY") 
     request.set("maxDataPoints", 100) 
     ## NEED TO PASS THIS 
     request.set("startDate", "20160106") 
     request.set("endDate", "20160107") 


     print ("Sending Request:", request) 
     # Send the request 
     session.sendRequest(request) 

     # Process received events 
     while(True): 
      # We provide timeout to give the chance for Ctrl+C handling: 
      ev = session.nextEvent(500) 
      for msg in ev: 
       print (msg) 
      if ev.eventType() == blpapi.Event.RESPONSE: 
       # Response completely received, so we could exit 
       break 
    finally: 
     # Stop the session 
     session.stop()

輸出在字典形式：

HistoricalDataResponse = { 
    securityData = { 
     security = "MSFT US Equity" 
     eidData[] = { 
     } 
     sequenceNumber = 0 
     fieldExceptions[] = { 
     } 
     fieldData[] = { 
      fieldData = { 
       date = 2016-01-06 
       BEST_SALES = 98338.750000 
       BEST_EPS = 3.108000 
       CURR_ENTP_VAL = 373535.702300 
       CUR_MKT_CAP = 431746.702300 
       LAST_PRICE = 54.050000 
      } 
      fieldData = { 
       date = 2016-01-07 
       BEST_SALES = 98351.040000 
       BEST_EBITDA = 37885.200000 
       BEST_EPS = 3.110000 
       CURR_ENTP_VAL = 358518.425700 
       CUR_MKT_CAP = 416729.425700 
       LAST_PRICE = 52.170000 
      } 
     } 
    } 
}

來源

2017-04-11 Mike W

這不是一個有效的Python文字...請嘗試提供一個可重複的示例。 –

你可以看看在pdblp包（聲明：我是作者）

對於你的例子應該工作（我目前沒有連接，但沒有實際測試過）

import pdblp 
con = pdblp.BCon() 
con.start() 

fields = ['BEST_SALES', 'BEST_EBITDA', 'BEST_EPS', 'CURR_ENTP_VAL', 
      'CUR_MKT_CAP', 'LAST_PRICE'] 


ovrds = [('BEST_FPERIOD_OVERRIDE', '1FY'), ('BEST_CONSOLIDATED_OVERRIDE', 'C'), 
     ('EQY_FUND_CRNCY', 'USD')] 

elms = [('periodicityAdjustment', 'ACTUAL'), 
     ('periodicitySelection', 'ACTUAL'), ('maxDataPoints', 100)] 


df = con.bdh('MSFT US Equity', fields, '20150629', '20150630', elms=elms, 
      ovrds=ovrds)

來源

2017-04-12 15:05:31 mgilbert

正是我所需要的，謝謝mgilbert！ –

如何將字典轉換爲數據框

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