from_json {jsonify} | R Documentation |
From JSON
Description
Converts JSON to an R object.
Usage
from_json(json, simplify = TRUE, fill_na = FALSE, buffer_size = 1024)
Arguments
json |
JSON to convert to R object. Can be a string, url or link to a file. |
simplify |
logical, if |
fill_na |
logical, if |
buffer_size |
size of buffer used when reading a file from disk. Defaults to 1024 |
Details
When simplify = TRUE
single arrays are coerced to vectors
array of arrays (all the same length) are coerced to matrices
objects with the same keys are coerced to data.frames
When simplify = TRUE
and fill_na = TRUE
objects are coerced to data.frames, and any missing values are filled with NAs
Examples
from_json('{"a":[1, 2, 3]}')
from_json('{"a":8, "b":99.5, "c":true, "d":"cats", "e":[1, "cats", 3]}')
from_json('{"a":8, "b":{"c":123, "d":{"e":456}}}')
lst <- list("a" = 5L, "b" = 1.43, "c" = "cats", "d" = FALSE)
js <- jsonify::to_json(lst, unbox = TRUE)
from_json( js )
## Return a data frame
from_json('[{"id":1,"val":"a"},{"id":2,"val":"b"}]')
## Return a data frame with a list column
from_json('[{"id":1,"val":"a"},{"id":2,"val":["b","c"]}]')
## Without simplifying to a data.frame
from_json('[{"id":1,"val":"a"},{"id":2,"val":["b","c"]}]', simplify = FALSE )
## Missing JSON keys
from_json('[{"x":1},{"x":2,"y":"hello"}]')
## Missing JSON keys - filling with NAs
from_json('[{"x":1},{"x":2,"y":"hello"}]', fill_na = TRUE )
## Duplicate object keys
from_json('[{"x":1,"x":"a"},{"x":2,"x":"b"}]')
from_json('[{"id":1,"val":"a","val":1},{"id":2,"val":"b"}]', fill_na = TRUE )
[Package jsonify version 1.2.2 Index]