我有以下data.frame,其中一列名为" json"和两行JSON数据:
df <- data.frame(json = c('{"client":"ABC Company","totalUSD":7110.0000,"durationDays":731,"familySize":4,"assignmentType":"Long Term","homeLocation":"Australia","hostLocation":"United States","serviceName":"Service ABC","homeLocationGeoLat":-25.274398,"homeLocationGeoLng":133.775136,"hostLocationGeoLat":37.09024,"hostLocationGeoLng":-95.712891}', '{"client":"ABC Company","totalUSD":7110.0000,"durationDays":731,"familySize":4,"assignmentType":"Long Term","homeLocation":"Australia","hostLocation":"United States","serviceName":"Service XYZ","homeLocationGeoLat":-25.274398,"homeLocationGeoLng":133.775136,"hostLocationGeoLat":37.09024,"hostLocationGeoLng":-95.712891}'))
我正在尝试使用rjson包中的fromJSON将JSON解析为data.frame。
我将列转换为字符类型,然后尝试解析:
> df$json <- as.character(df$json)
> final <- fromJSON(json_str = df$json)
但是,它似乎只给了我第一行JSON,而我希望有2行。
如何从df $ json?
将JSON解析为data.frame答案 0 :(得分:7)
您可能需要此练习中的结果数据框,因此:
do.call(rbind.data.frame, lapply(df$json, rjson::fromJSON))
## client totalUSD durationDays familySize assignmentType homeLocation hostLocation serviceName homeLocationGeoLat
## 2 ABC Company 7110 731 4 Long Term Australia United States Service ABC -25.2744
## 21 ABC Company 7110 731 4 Long Term Australia United States Service XYZ -25.2744
## homeLocationGeoLng hostLocationGeoLat hostLocationGeoLng
## 2 133.7751 37.09024 -95.71289
## 21 133.7751 37.09024 -95.71289
完全相同的结果将来自:
do.call(rbind.data.frame, lapply(df$json, jsonlite::fromJSON))
do.call(rbind.data.frame, lapply(df$json, RJSONIO::fromJSON))