Question

我在R中有以下“堆叠JSON”对象，example1.json：

{"ID":"12345","Timestamp":"20140101", "Usefulness":"Yes",
  "Code":[{"event1":"A","result":"1"},…]}
{"ID":"1A35B","Timestamp":"20140102", "Usefulness":"No",
  "Code":[{"event1":"B","result":"1"},…]}
{"ID":"AA356","Timestamp":"20140103", "Usefulness":"No",
  "Code":[{"event1":"B","result":"0"},…]}

这些不是以逗号分隔的。基本目标是将某些字段（或所有字段）解析为R data.frame或data.table：

    Timestamp    Usefulness
 0   20140101      Yes
 1   20140102      No
 2   20140103      No

通常情况下，我会在R中读取JSON，如下所示：

library(jsonlite)

jsonfile = "example1.json"
foobar = fromJSON(jsonfile)

然而，这会引发解析错误：

Error: lexical error: invalid char in json text.
          [{"event1":"A","result":"1"},…]} {"ID":"1A35B","Timestamp"
                     (right here) ------^

这是与以下类似的问题，但在R：multiple Json objects in one file extract by python

中

编辑：此文件格式称为“换行符分隔的JSON”，NDJSON。

Answer 1

三个点...使您的JSON无效，因此lexical error。
您可以使用jsonlite::stream_in()来流式传输＆＃39; JSON行。

library(jsonlite)

jsonlite::stream_in(file("~/Desktop/examples1.json"))
# opening file input connection.
# Imported 3 records. Simplifying...
# closing file input connection.
#      ID Timestamp Usefulness Code
# 1 12345  20140101        Yes A, 1
# 2 1A35B  20140102         No B, 1
# 3 AA356  20140103         No B, 0

数据

我已清理您的示例数据，使其成为有效的JSON并将其保存到我的桌面~/Desktop/examples1.json

{"ID":"12345","Timestamp":"20140101", "Usefulness":"Yes","Code":[{"event1":"A","result":"1"}]}
{"ID":"1A35B","Timestamp":"20140102", "Usefulness":"No","Code":[{"event1":"B","result":"1"}]}
{"ID":"AA356","Timestamp":"20140103", "Usefulness":"No","Code":[{"event1":"B","result":"0"}]}

如何解析R中堆叠多个JSON的文件？

1 个答案:

数据