如何使用 pandas read_json 读取 ADSB json 数据？ [复制]

Posted 2023-03-11

【中文标题】如何使用 pandas read_json 读取 ADSB json 数据？ [复制]

【英文标题】：How can I read an ADSB json data with pandas read_json? [duplicate]

【发布时间】：2018-03-04 22:28:35

【问题描述】：

我正在做：

import pandas as pd
df = pd.read_json('2016-06-20-2359Z.json') 

我正在接受这个错误：

ValueError: Trailing data 

这里是一个简短的 json 文件：

"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

有谁知道原因吗？

【问题讨论】：

这是json文件的一行吗？ json文件是否包含多行这样的行？

对，就是json文件的一行。它就在行里面有很多 "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":"亚特兰大, GA","OpIcao":"ASQ"," Sqk":"","VsiT":0,"WTC":2,"Species":1,"Engines":"2","EngType":3,"EngMount":1,"Mil":false, "Cou":"美国","HasPic":false,"Interested":false,"FlightsCount":0,"Gnd":false,"SpdTyp":0,"CallSus":false,"TT":" a","Trt":1,"年份":"2001",

如果我删除 "src":1,"feeds":["id":1,"name":"ADSBexchange.com","polarPlot":false],"srcFeed ":1,"showSil":true,"showFlg":true,"showPic":true,"flgH":20,"flgW":85,"acList": 开头和结尾,"totalAc":4231 ,"lastDv":"636019887431643594","shtTrlSec":61,"stm":1466467170029 它会找到。但是我想获得一种读取原始文件的方法，因为这样的文件太多了，我无法手动完成。

你在我下面的回答中尝试过“lines”参数吗？

【参考方案1】：

如果您的 pandas 模块是最新的，请使用“lines”参数：

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

【讨论】：

天啊，这行得通。我以为我确实尝试过一次，但它没有用。现在它起作用了。谢谢Alperen

抱歉，Alperen，关于同一主题，我还有另一个问题要问您。现在我所有的数据都在 df.acList 列中。如何将 df.acList 'Id', 'Rcvr'...... 放入新列？ 0 ['Id': 11281748, 'Rcvr': 1, 'HasSig': False, ...名称：acList, dtype: object