from_json: From JSON

In jsonify: Convert Between 'R' Objects and Javascript Object Notation (JSON)

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 TRUE, coerces JSON to the simplest R object possible. See Details
fill_na	logical, if TRUE and simplify is TRUE, data.frames will be na-filled if there are missing JSON keys. Ignored if simplify is FALSE. See details and examples.
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 )

jsonify documentation built on Nov. 10, 2022, 5:34 p.m.