如何将熊猫列中的JSON数据转换为新列

我有这个简短版本的ADSB json数据，并希望将其转换为dataFrame列作为Icao，Alt，Lat，Long，Spd，Cou .....如何将熊猫列中的JSON数据转换为新列

后Alperen告诉我做这个

df = pd.read_json('2016-06-20-2359Z.json', lines=True),

我可以把它加载到数据帧。然而，df.acList是

 
[{'Id': 10537990, 'Rcvr': 1, 'HasSig': False, ... 
Name: acList, dtype: object

我怎样才能得到国际民航组织，ALT，纬度，经度，SPD，凑数据？

 
"src":1, 
    "feeds":[ 
     { 
     "id":1, 
     "name":"ADSBexchange.com", 
     "polarPlot":false 
     } 
    ], 
    "srcFeed":1, 
    "showSil":true, 
    "showFlg":true, 
    "showPic":true, 
    "flgH":20, 
    "flgW":85, 
    "acList":[ 
     { 
     "Id":11281748, 
     "Rcvr":1, 
     "HasSig":false, 
     "Icao":"AC2554", 
     "Bad":false, 
     "Reg":"N882AS", 
     "FSeen":"\/Date(1466467166951)\/", 
     "TSecs":3, 
     "CMsgs":1, 
     "AltT":0, 
     "Tisb":false, 
     "TrkH":false, 
     "Type":"CRJ2", 
     "Mdl":"2001 
BOMBARDIER INC 
CL-600-2B19", 
     "Man":"Bombardier", 
     "CNum":"7503", 
     "Op":"EXPRESSJET AIRLINES INC - ATLANTA, GA", 
     "OpIcao":"ASQ", 
     "Sqk":"", 
     "VsiT":0, 
     "WTC":2, 
     "Species":1, 
     "Engines":"2", 
     "EngType":3, 
     "EngMount":1, 
     "Mil":false, 
     "Cou":"United States", 
     "HasPic":false, 
     "Interested":false, 
     "FlightsCount":0, 
     "Gnd":false, 
     "SpdTyp":0, 
     "CallSus":false, 
     "TT":"a", 
     "Trt":1, 
     "Year":"2001" 
     }, 
     { 
     "Id":11402205, 
     "Rcvr":1, 
     "HasSig":true, 
     "Sig":110, 
     "Icao":"ADFBDD", 
     "Bad":false, 
     "FSeen":"\/Date(1466391940977)\/", 
     "TSecs":75229, 
     "CMsgs":35445, 
     "Alt":8025, 
     "GAlt":8025, 
     "AltT":0, 
     "Call":"TEST1234", 
     "Tisb":false, 
     "TrkH":false, 
     "Sqk":"0262", 
     "Help":false, 
     "VsiT":0, 
     "WTC":0, 
     "Species":0, 
     "EngType":0, 
     "EngMount":0, 
     "Mil":true, 
     "Cou":"United States", 
     "HasPic":false, 
     "Interested":false, 
     "FlightsCount":0, 
     "Gnd":true, 
     "SpdTyp":0, 
     "CallSus":false, 
     "TT":"a", 
     "Trt":1 
     } 
    ], 
    "totalAc":4231, 
    "lastDv":"636019887431643594", 
    "shtTrlSec":61, 
    "stm":1466467170029 
}

来源

2017-09-24 user8149657

如果你已经有了一个熊猫数据帧中acList列数据，简单地做：

import pandas as pd 
pd.io.json.json_normalize(df.acList[0]) 

Alt AltT Bad CMsgs CNum Call CallSus Cou EngMount EngType ... Sqk TSecs TT Tisb TrkH Trt Type VsiT WTC Year 
0 NaN 0 False 1 7503 NaN False United States 1 3 ...  3 a False False 1 CRJ2 0 2 2001 
1 8025.0 0 False 35445 NaN TEST1234 False United States 0 0 ... 0262 75229 a False False 1 NaN 0 0 NaN

来源

2017-09-24 15:28:19

哇，这很简单。谢谢！ – user8149657

如何将熊猫列中的JSON数据转换为新列

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