colearendt / tidyjson

Tidy your JSON data in R with tidyjson
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`enter_object` won't work inside function #130

Closed ramiromagno closed 3 years ago

ramiromagno commented 3 years ago
library(magrittr)
library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
library(tidyjson)  
#> 
#> Attaching package: 'tidyjson'
#> The following object is masked from 'package:stats':
#> 
#>     filter

# Example 1: object name as barename: works.
worldbank %>%
  enter_object(majorsector_percent) %>%
  gather_array %>%
  spread_all %>%
  select(-document.id, -array.index)
#> # A tbl_json: 1,405 x 3 tibble with a "JSON" attribute
#>    ..JSON                  Name                                    Percent
#>    <chr>                   <chr>                                     <dbl>
#>  1 "{\"Name\":\"Educat..." Education                                    46
#>  2 "{\"Name\":\"Educat..." Education                                    26
#>  3 "{\"Name\":\"Public..." Public Administration, Law, and Justice      16
#>  4 "{\"Name\":\"Educat..." Education                                    12
#>  5 "{\"Name\":\"Public..." Public Administration, Law, and Justice      70
#>  6 "{\"Name\":\"Public..." Public Administration, Law, and Justice      30
#>  7 "{\"Name\":\"Transp..." Transportation                              100
#>  8 "{\"Name\":\"Health..." Health and other social services            100
#>  9 "{\"Name\":\"Indust..." Industry and trade                           50
#> 10 "{\"Name\":\"Indust..." Industry and trade                           40
#> # … with 1,395 more rows

# Example 2: object name as string: works.
worldbank %>%
  enter_object('majorsector_percent') %>%
  gather_array %>%
  spread_all %>%
  select(-document.id, -array.index)
#> # A tbl_json: 1,405 x 3 tibble with a "JSON" attribute
#>    ..JSON                  Name                                    Percent
#>    <chr>                   <chr>                                     <dbl>
#>  1 "{\"Name\":\"Educat..." Education                                    46
#>  2 "{\"Name\":\"Educat..." Education                                    26
#>  3 "{\"Name\":\"Public..." Public Administration, Law, and Justice      16
#>  4 "{\"Name\":\"Educat..." Education                                    12
#>  5 "{\"Name\":\"Public..." Public Administration, Law, and Justice      70
#>  6 "{\"Name\":\"Public..." Public Administration, Law, and Justice      30
#>  7 "{\"Name\":\"Transp..." Transportation                              100
#>  8 "{\"Name\":\"Health..." Health and other social services            100
#>  9 "{\"Name\":\"Indust..." Industry and trade                           50
#> 10 "{\"Name\":\"Indust..." Industry and trade                           40
#> # … with 1,395 more rows

# Example 3: inside a function, object name passed as string: does not work.
enter <- function(tbl_json, object) {
  tbl_json %>%
    enter_object(object) %>%
    gather_array %>%
    spread_all %>%
    select(-document.id, -array.index)
}

enter(worldbank, object = 'majorsector_percent')
#> # A tbl_json: 0 x 1 tibble with a "JSON" attribute
#> # … with 1 variable: ..JSON <chr>

Created on 2021-01-02 by the reprex package (v0.3.0)

colearendt commented 3 years ago

PR that implements this is up! Please give it a try and LMK if any issues! https://github.com/colearendt/tidyjson/pull/132