I have this data frame:
dput(head(dat))
structure(list(out = c(5, 0, 0, 0, 0, 0), Date = c(1423825200000,
1423825500000, 1423825800000, 1423826100000, 1423826400000, 1423826700000
)), .Names = c("out", "Date"), row.names = c(NA, 6L), class = "data.frame")
I need to convert this to json format.
I tried this:
dList <- unname(apply(dat[,1:2], 1, function(y) unname(as.list(y))))
df1<-toJSON(list( data = dList))
I get something like this:
{"data":[[[5],[1423825200000]],[[0],[1423825500000]],[[0],[1423825800000]],[[0],[1423826100000]],[[0],[1423826400000]],[[0],[1423826700000]],[[0],[1.423827e+12]],[[0],[1423827300000]],[[0],[1423827600000]],[[0],[1423827900000]]}
I need this to be :
[[5, 1423825200000.0], [0, 1423825500000.0], [0, 1423825800000.0], [0, 1423826100000.0], [0, 1423826400000.0], [0, 1423826700000.0], [0, 1423827000000.0], [0, 1423827300000.0], [0, 1423827600000.0], [0, 1423827900000.0]]
Any ideas how I could this in R
Convert dat
to a matrix, then run it through jsonlite::toJSON
jsonlite::toJSON(as.matrix(dat))
# [[5,1423825200000],[0,1423825500000],[0,1423825800000],[0,1423826100000],[0,1423826400000],[0,1423826700000]]