[英]Iterating through JSON elements to fix missing values using R and jsonlite
I'm working with a JSON file and trying to flatten it into a data.frame
using the jsonlite
package.我正在处理一个 JSON 文件,并尝试使用
jsonlite
package 将其扁平化为data.frame
。
The main set of objects in the array don't have a key, and so instead of flattening into rows, it's creating a column for each object (and its key-value pairs).数组中的主要对象集没有键,因此不是展平成行,而是为每个 object(及其键值对)创建一列。
How can I iterate through the JSON object to add a key to each object value so that I can view this data as a readable data.frame
?我如何遍历 JSON object 以向每个 object 值添加一个键,以便我可以将此数据视为可读的
data.frame
?
This is the code I'm using:这是我正在使用的代码:
jsonfile <- jsonlite::fromJSON("filename"), simplifyDataFrame=TRUE)
And so this:所以这个:
{
"SUCCESS ACADEMY": {
"districtName": "SUCCESS SD",
"isPublic": true
},
"FAILURE ACADEMY": {
"districtName": "FAIL SD",
"isPublic": true
}
}
Turns into this:变成这样:
+------------------------------+--------------------------+------------------------------+--------------------------+
| SUCCESS ACADEMY.districtName | SUCCESS ACADEMY.isPublic | Failure Academy.districtName | Failure Academy.isPublic |
+------------------------------+--------------------------+------------------------------+--------------------------+
When I want this instead:当我想要这个时:
+-----------------+--------------+----------+
| School Name | districtName | isPublic |
+-----------------+--------------+----------+
| SUCCESS ACADEMY | SUCCESS SD | true |
| FAILURE ACADEMY | FAIL SD | true |
+-----------------+--------------+----------+
There may be a direct way but treating it as a list of data frames thne binding them together seems adequate:可能有一种直接的方法,但将其视为数据帧列表,将它们绑定在一起似乎就足够了:
library(data.table)
library(magrittr)
jsonlite::fromJSON(txt= '{
"SUCCESS ACADEMY": {
"districtName": "SUCCESS SD",
"isPublic": true
},
"FAILURE ACADEMY": {
"districtName": "FAIL SD",
"isPublic": true
}
}') %>%
lapply(as.data.table) %>%
rbindlist(idcol = "School_name")
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