GoT Characters

library(jsontools)
got_json <- got_chars_json

Overview

First, let’s find out what’s the type of the JSON

json_type(got_json)
#> [1] "array"

With json_array_length() and json_array_types() we can find out the number of elements in the array and the type of each element:

json_array_length(got_json)
#> [1] 5
json_array_types(got_json)
#> [1] "object" "object" "object" "object" "object"

Each element of the array is a JSON object. To work with the data in the array it is often more convenient to unpack it with json_flatten(). This produces a JSON vector whose elements are the elements of the array:

json_flatten(got_json)
#> {"url":"https://www.anapioficeandfire.com/api/characters/1022","id":1022,"name":"Theon Greyjoy","alive":true,"titles":["Prince of Winterfell","Captain of Sea Bitch","Lord of the Iron Islands (by law of the green lands)"],"aliases":["Prince of Fools","Theon Turncloak","Reek","Theon Kinslayer"],"allegiances":"House Greyjoy of Pyke"}
#> {"url":"https://www.anapioficeandfire.com/api/characters/1052","id":1052,"name":"Tyrion Lannister","alive":true,"titles":["Acting Hand of the King (former)","Master of Coin (former)"],"aliases":["The Imp","Halfman","The boyman","Giant of Lannister","Lord Tywin's Doom","Lord Tywin's Bane","Yollo","Hugor Hill","No-Nose","Freak","Dwarf"],"allegiances":"House Lannister of Casterly Rock"}
#> {"url":"https://www.anapioficeandfire.com/api/characters/1074","id":1074,"name":"Victarion Greyjoy","alive":true,"titles":["Lord Captain of the Iron Fleet","Master of the Iron Victory"],"aliases":"The Iron Captain","allegiances":"House Greyjoy of Pyke"}
#> {"url":"https://www.anapioficeandfire.com/api/characters/1109","id":1109,"name":"Will","alive":false,"titles":"","aliases":"","allegiances":[]}
#> {"url":"https://www.anapioficeandfire.com/api/characters/1166","id":1166,"name":"Areo Hotah","alive":true,"titles":"Captain of the Guard at Sunspear","aliases":"","allegiances":"House Nymeros Martell of Sunspear"}

In non-interactive use it is a good idea to specify the type you expect via the ptype argument. In this case we expect each element to be a JSON object and therefore use ptype = new_json_object().

got_chars <- json_flatten(got_json, ptype = new_json_object())

An alternative would have been to use ptype = json2() when we don’t care whether the elements are arrays, objects, or a mix of them.

Extract Data

Let’s have a look at the first Game of Thrones character

got_chars[1]
#> {"url":"https://www.anapioficeandfire.com/api/characters/1022","id":1022,"name":"Theon Greyjoy","alive":true,"titles":["Prince of Winterfell","Captain of Sea Bitch","Lord of the Iron Islands (by law of the green lands)"],"aliases":["Prince of Fools","Theon Turncloak","Reek","Theon Kinslayer"],"allegiances":"House Greyjoy of Pyke"}

This minified JSON is not so easy to read so we prettify it with json_prettify()

json_prettify(got_chars[1])
#> {
#>    "url": "https://www.anapioficeandfire.com/api/characters/1022",
#>    "id": 1022,
#>    "name": "Theon Greyjoy",
#>    "alive": true,
#>    "titles": [
#>       "Prince of Winterfell",
#>       "Captain of Sea Bitch",
#>       "Lord of the Iron Islands (by law of the green lands)"
#>    ],
#>    "aliases": [
#>       "Prince of Fools",
#>       "Theon Turncloak",
#>       "Reek",
#>       "Theon Kinslayer"
#>    ],
#>    "allegiances": "House Greyjoy of Pyke"
#> }

With the help of json_extract() we can now easily extract values from each character:

json_extract(got_chars, "$.name")
#> [1] "Theon Greyjoy"     "Tyrion Lannister"  "Victarion Greyjoy"
#> [4] "Will"              "Areo Hotah"

The second argument "$.name" specifies the path of the element we want to extract. The basic syntax is relatively simple:

If you wonder about the dollar sign $: it stands for the current element. Simply always start the path with it and you will be fine.

To extract elements of nested objects you simply combine the path. For example the path to 1 in {"a": {"b": [1, 2]}} is $.a.b[0]. You can find more examples in article JSONpath - XPath for JSON by Stefan Gössner.

We can now construct a tibble with some basic information about the characters

tibble::tibble(
  id = json_extract(got_chars, "$.id"),
  name = json_extract(got_chars, "$.name"),
  alive = json_extract(got_chars, "$.alive")
)
#> # A tibble: 5 x 3
#>      id name              alive
#>   <int> <chr>             <lgl>
#> 1  1022 Theon Greyjoy     TRUE 
#> 2  1052 Tyrion Lannister  TRUE 
#> 3  1074 Victarion Greyjoy TRUE 
#> 4  1109 Will              FALSE
#> 5  1166 Areo Hotah        TRUE

Oh, we actually also wanted the titles of each character

tibble::tibble(
  id = json_extract(got_chars, "$.id"),
  name = json_extract(got_chars, "$.name"),
  alive = json_extract(got_chars, "$.alive"),
  titles = json_extract(got_chars, "$.titles")
)
#> Error: Cannot combine JSON array/object with scalar values.
#> ℹ Use `wrap_scalars = TRUE` to wrap scalars in an array.
#> ℹ Use `ptype = character()` to return result as text.

Unfortunately, we get an error message saying that we cannot combine an array with text. Let’s try extracting the books as text:

json_extract(got_chars, "$.titles", ptype = character())
#> [1] "[\"Prince of Winterfell\",\"Captain of Sea Bitch\",\"Lord of the Iron Islands (by law of the green lands)\"]"
#> [2] "[\"Acting Hand of the King (former)\",\"Master of Coin (former)\"]"                                          
#> [3] "[\"Lord Captain of the Iron Fleet\",\"Master of the Iron Victory\"]"                                         
#> [4] ""                                                                                                            
#> [5] "Captain of the Guard at Sunspear"

We see that the API actually isn’t type stable: it returns a simple text value instead of an array if the character only has one title. It is usually not a good idea to mix characters and arrays in an API. But as some APIs in the wild do this you can fix it with the argument wrap_scalars and get only JSON arrays back:

json_extract(got_chars, "$.titles", wrap_scalars = TRUE)
#> ["Prince of Winterfell","Captain of Sea Bitch","Lord of the Iron Islands (by law of the green lands)"]
#> ["Acting Hand of the King (former)","Master of Coin (former)"]
#> ["Lord Captain of the Iron Fleet","Master of the Iron Victory"]
#> [""]
#> ["Captain of the Guard at Sunspear"]

Unnesting

It would be quite tedious to extract every field of a character like that. Instead you can simply use json_unnest_wider() to convert the keys of a JSON object into columns. Like before, we also have to use wrap_scalars = TRUE:

got_chars_df <- tibble::tibble(chars_json = got_chars) %>%
  json_unnest_wider(chars_json, wrap_scalars = TRUE)

got_chars_df
#> # A tibble: 5 x 7
#>   url           id name    alive           titles          aliases   allegiances
#>   <chr>      <int> <chr>   <lgl>          <json2>          <json2>       <json2>
#> 1 https://w…  1022 Theon … TRUE  ["Prince of Win… ["Prince of Foo… ["House Grey…
#> 2 https://w…  1052 Tyrion… TRUE  ["Acting Hand o… ["The Imp","Hal… ["House Lann…
#> 3 https://w…  1074 Victar… TRUE  ["Lord Captain … ["The Iron Capt… ["House Grey…
#> 4 https://w…  1109 Will    FALSE             [""]             [""]            []
#> 5 https://w…  1166 Areo H… TRUE  ["Captain of th…             [""] ["House Nyme…

We can also unnest arrays with json_unnest_longer(). This is basically a version json_flatten() for data frames

got_chars_df[c("id", "name", "titles")] %>% 
  json_unnest_longer(titles)
#> # A tibble: 9 x 3
#>      id name              titles                                                
#>   <int> <chr>             <chr>                                                 
#> 1  1022 Theon Greyjoy     "Prince of Winterfell"                                
#> 2  1022 Theon Greyjoy     "Captain of Sea Bitch"                                
#> 3  1022 Theon Greyjoy     "Lord of the Iron Islands (by law of the green lands)"
#> 4  1052 Tyrion Lannister  "Acting Hand of the King (former)"                    
#> 5  1052 Tyrion Lannister  "Master of Coin (former)"                             
#> 6  1074 Victarion Greyjoy "Lord Captain of the Iron Fleet"                      
#> 7  1074 Victarion Greyjoy "Master of the Iron Victory"                          
#> 8  1109 Will              ""                                                    
#> 9  1166 Areo Hotah        "Captain of the Guard at Sunspear"

Modify Data

It is also possible to modify the JSON directly. With json_delete() we can delete multiple fields in an object

got_chars_small <- json_delete(got_chars, "$.url", "$.aliases", "$.allegiances")

And with json_mutate() we can easily mutate elements

json_mutate(
  got_chars_small,
  .id = 1:5,
  .alive = !json_extract(got_chars_small, "$.alive")
)
#> {"id":1,"name":"Theon Greyjoy","alive":false,"titles":["Prince of Winterfell","Captain of Sea Bitch","Lord of the Iron Islands (by law of the green lands)"]}
#> {"id":2,"name":"Tyrion Lannister","alive":false,"titles":["Acting Hand of the King (former)","Master of Coin (former)"]}
#> {"id":3,"name":"Victarion Greyjoy","alive":false,"titles":["Lord Captain of the Iron Fleet","Master of the Iron Victory"]}
#> {"id":4,"name":"Will","alive":true,"titles":""}
#> {"id":5,"name":"Areo Hotah","alive":false,"titles":"Captain of the Guard at Sunspear"}

or patch with another JSON using json_merge()

x <- c(
  '{"id": 1, "a": 3}',
  '{"id": 2, "a": 4}',
  '{"id": 3}'
)

# remove element at "a"
json_merge(x, '{"a": null}')
#> {"id":1}
#> {"id":2}
#> {"id":3}

# it is vectorised
json_merge(
  x,
  c(
    '{"a": null}',
    '{"a": 5}',
    '{"a": 6}'
  )
)
#> {"id":1}
#> {"id":2,"a":5}
#> {"id":3,"a":6}