将字符串转换为json字符串并在R中解析

Question

我有一个数据，其中一列为 json 字符串：

reservation  reasons
1592         [{"name"=>"jorge", "value"=>"MX"}, {"name"=>"Billing phone number", "value"=>"1123"}, {"name"=>"BillingCountry", "value"=>"USA"}]
1597         [{"name"=>"BillingAddress_Country", "value"=>"IN"}, {"name"=>"Billing phone number country code", "value"=>"IN"}, {"name"=>"Latest amount", "value"=>"583000000"}]

我想按如下方式解析该列：

reservation   name                                value
1592          jorge                                mx
1592          Billing phone number                 1123
1592          BillingCountry                       USA
1597          BillingAddress_Country               IN
1597          Billing phone number country code    IN
1597          Latest amount                        583000000

我在 R 中使用 jsonlite。我的代码中出现以下错误：

data<-read.csv("data.csv")
json<-data$reasons
mydf <- fromJSON(json)
Error: Argument 'txt' must be a JSON string, URL or file.

谁能告诉我我在哪里犯了错误？我需要做哪些修改？提前谢谢了！

Answer 1

  dat%>%
  mutate(reasons=str_split(gsub("[^=A-Za-z,0-9{} ]+","",reasons),"(?<=\\}),\\s*"))%>%
  unnest()%>%
  mutate(names=str_extract(reasons,"(?<=name=)[^,}]+"),
         values=str_extract(reasons,"(?<=value=)[^,}]+"),
         reasons=NULL)

 reservation                             names    values
1        1592                             jorge        MX
2        1592              Billing phone number      1123
3        1592                    BillingCountry       USA
4        1597             BillingAddressCountry        IN
5        1597 Billing phone number country code        IN
6        1597                     Latest amount 583000000

使用此代码，如果您需要电子邮件，只需添加email=str_extract..等