您好我有一套CSV文件需要导入mongo DB。
我的数据已经很整洁,我想解开它来创建我可以导入的json对象。
例如:
client, receipt, total
1 101 $10
1 102 $11
2 201 $10
我喜欢创建json字符串列表,如:
list:
[1]
{
"client":1,
"receipts":[
{
"receipt":101,
"charge":10
},
{
"receipt":102,
"charge":11
}
]
}
[2]
{
"client":2,
"receipts":[
{
"receipt":201,
"charge":10
}
]
}
这应该是一个简单的问题,但它看起来所有的谷歌搜索结果都在谈论将json变成整洁的data.frame。
答案 0 :(得分:1)
你可以做到
df<-read.table(header=T, text="client receipt charge
1 101 10
1 102 11
2 201 10")
library(jsonlite)
library(tidyverse)
df %>%
nest(-client, .key = receipts) %>%
split(.$client) %>%
map(~toJSON(unbox(.x), pretty=TRUE))
# $`1`
# {
# "client": 1,
# "receipts": [
# {
# "receipt": 101,
# "charge": 10
# },
# {
# "receipt": 102,
# "charge": 11
# }
# ]
# }
#
# $`2`
# {
# "client": 2,
# "receipts": [
# {
# "receipt": 201,
# "charge": 10
# }
# ]
# }