CODEWITHSUNDEEP
rjsondataframe
Patris
Patris

Reputation: 187

How to read a json file line by line in R?

Here is the raw json data:

json_file <-  '{"name":"Doe, John","group":"Red","age":{"v_0":24}}
    {"name":"Doe, Jane","group":"Green","age":{"v_0":31}}
    {"name":"Smith, Joan","group":"Yellow","age":{"v_0":22}}'

When I want to convert json_file to a data frame:

library(RJSONIO)
json_file <- fromJSON(json_file)

I get this error:

Error: parse error: trailing garbage
      :"Red","age":{"v_0":24}}     {"name":"Doe, Jane","group":"Gr
                 (right here) ------^

I know if I change the raw data to the following data, everything would be fine:

json_file <-  '[{"name":"Doe, John","group":"Red","age":{"v_0":24}},
    {"name":"Doe, Jane","group":"Green","age":{"v_0":31}},
    {"name":"Smith, Joan","group":"Yellow","age":{"v_0":22}}]'

But actually I would like to know:

1) How to get data frame from the raw data without splitting its objects using [, , and ]?

2) If there is no way, how to split objects in a large json file by adding , to end of each line except the last line, and also adding [ and ] to the first and last line of the file?

Upvotes: 6

Views: 6015

Answers (3)

JaKu
JaKu

Reputation: 1166

There are ways to do it without the need to edit the file.

If you want a data.frame:

library(jsonlite)
# url
zips <- stream_in(url("http://media.mongodb.org/zips.json"))
# file
json_data <- stream_in(file("path/to/file.json"))

or if you want a list:

json_data_as_list <- readLines("path/to/file.json") %>% lapply(fromJSON)

Upvotes: 7

ASH
ASH

Reputation: 20302

You need those square brackets. Save the following as 'test.json':

{ 
   "ID":["1","2","3","4","5","6","7","8" ],
   "Name":["Rick","Dan","Michelle","Ryan","Gary","Nina","Simon","Guru" ],
   "Salary":["623.3","515.2","611","729","843.25","578","632.8","722.5" ],

   "StartDate":[ "1/1/2012","9/23/2013","11/15/2014","5/11/2014","3/27/2015","5/21/2013",
      "7/30/2013","6/17/2014"],
   "Dept":[ "IT","Operations","IT","HR","Finance","IT","Operations","Finance"]
}

Now, load the required library and point to that file you just saved:

# Load the package required to read JSON files.
library("rjson")

# Give the input file name to the function.
result <- fromJSON(file = "C:\\Users\\Excel\\Documents\\test.json")

# Print the result.
print(result)

Result:

print(result)
$ID
[1] "1" "2" "3" "4" "5" "6" "7" "8"

$Name
[1] "Rick"     "Dan"      "Michelle" "Ryan"     "Gary"     "Nina"     "Simon"    "Guru"    

$Salary
[1] "623.3"  "515.2"  "611"    "729"    "843.25" "578"    "632.8"  "722.5" 

$StartDate
[1] "1/1/2012"   "9/23/2013"  "11/15/2014" "5/11/2014"  "3/27/2015"  "5/21/2013"  "7/30/2013"  "6/17/2014" 

$Dept
[1] "IT"         "Operations" "IT"         "HR"         "Finance"    "IT"         "Operations" "Finance"

Upvotes: -2

MrGumble
MrGumble

Reputation: 5766

Your raw json data is already split into individual objects. On top of that, as a whole, the json data is invalid. Luckily, as you noticed, if you insert , at the end of each line (except the last) and wrap it all in square brackets, you get a collection of key-pairs (or arrays). So you should rather ask, "How do I combine all elements into a single data.frame?"

The solution: dplyr::bind_rows(fromJSON(json_file))

# A tibble: 3 x 3
  name        group    age
  <chr>       <chr>  <dbl>
1 Doe, John   Red       24
2 Doe, Jane   Green     31
3 Smith, Joan Yellow    22

Followup:

Assuming the json objects do not contain newlines, you can do an easy search-replace:

json_file <- gsub('\n', ',', trimws(json_file), fixed=TRUE)

I put in the trimws to remove possible trailing newlines.

Next, you wrap it with square brackets:

json_file <- paste0('[', json_file, ']')

and you're back on track.

Upvotes: 2

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