问题
The API I'm using needs me to send it a JSON
message like:
y <- '[{"a":1, "b":"select", "c":["A", "B", "C"]},
{"a":2, "b":"text"},
{"a":3, "b":"select", "c":["D", "E", "F", "G"]}]'
Notice that in the case "b" : "select"
there is another variable c
with the value being an array.
When I try running fromJSON(y)
(in the jsonlite
package) I get a data.frame
where the 3rd column is a list:
> z <- fromJSON(y)
> class(z)
[1] "data.frame"
> z %>% glimpse()
Observations: 3
Variables: 3
$ a (int) 1, 2, 3
$ b (chr) "select", "text", "select"
$ c (list) A, B, C, NULL, D, E, F, G
But when I convert it back to JSON
(which is the format I want to send to the API), the c
variable appears where it shouldn't be.
[{"a":1,"b":"select","c":["A","B","C"]},
{"a":2,"b":"text","c":{}},
{"a":3,"b":"select","c":["D","E","F","G"]}]
Is there another R data structure that could reliably get me from a data frame to the original JSON
message using jsonlite
(or something else)? How would it work?
回答1:
with jsonlite
, you can do as follows:
z <- fromJSON(y, simplifyDataFrame = F)
toJSON(z, auto_unbox=T)
In addition, consider following case where last c
element is ["D"]
:
y2 <- '[{"a":1, "b":"select", "c":["A", "B", "C"]},
{"a":2, "b":"text"},
{"a":3, "b":"select", "c":["D"]}]'
z2 <- fromJSON(y2, simplifyDataFrame = F)
toJSON(z2, auto_unbox=T)
Result is this:
[{"a":1,"b":"select","c":["A","B","C"]},
{"a":2,"b":"text"},
{"a":3,"b":"select","c":"D"}]
This can be a trouble because the last c
element is "D"
not ["D"]
.
To prevent this, don's use auto_unbox
. Use unbox
carefully as follows:
z2 <- fromJSON(y2, simplifyDataFrame = F)
for(i in 1:length(z2)){
z2[[i]][[1]] <- unbox(z2[[i]][[1]])
z2[[i]][[2]] <- unbox(z2[[i]][[2]])
}
toJSON(z2)
回答2:
If you need to have a data frame to calculate things, you could do (the rmNullObs
function is from here):
z <- fromJSON(y)
is.NullOb <- function(x) is.null(x) | all(sapply(x, is.null))
## Recursively step down into list, removing all such objects
rmNullObs <- function(x) {
x <- Filter(Negate(is.NullOb), x)
lapply(x, function(x) if (is.list(x)) rmNullObs(x) else x)
}
z_list <- rmNullObs(as.list(as.data.frame(t(z))))
toJSON(unname(z_list), auto_unbox=T)
This converts the dataframe to a list, removes the NULL, and converts back to JSON.
If you don't need the dataframe, see @skwon's answer
来源:https://stackoverflow.com/questions/34792476/encoding-a-json-expression-from-r-with-jsonlite-or-something-else