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tibblify()
The idea of tibblify()
is to make it easier and more
robust to convert lists of lists into tibbles. This is a typical task
after receiving API responses in JSON format. The following provides an
overview which kind of R objects are supported and the JSON they
correspond to.
There are 4 basic types of scalars coming from JSON: boolean, integer, float, string. In R there are not really scalars but only vectors of length 1.
Other R vectors without JSON equivalent are also supported as long as they:
vctrs::vec_size(x)
is 1.Examples are Date
or POSIXct
.
In general a scalar can be parsed with tib_scalar()
.
There are some special functions for common types:
tib_lgl()
tib_int()
tib_dbl()
tib_chr()
tib_date()
tib_chr_date()
to parse dates encoded as string.A homogeneous JSON array is an array of scalar where each scalar has
the same type. In R they correspond to a logical()
,
integer()
, double()
or
character()
vector:
As for scalars other types are also supported as long as they are a vector in the vctrs definition.
They can be parsed with tib_vector()
. As for scalars
there are shortcuts for some common types,
e.g. tib_lgl_vec()
.
A special case are empty lists list()
. They might appear
when parsing an empty JSON array:
x_json <- '[
{"a": [1, 2]},
{"a": []}
]'
x <- jsonlite::fromJSON(x_json, simplifyDataFrame = FALSE)
str(x)
#> List of 2
#> $ :List of 1
#> ..$ a: int [1:2] 1 2
#> $ :List of 1
#> ..$ a: list()
By default they are not supported but produce an error:
tibblify(x, tspec_df(tib_int_vec("a")))
#> Error in `tibblify()`:
#> ! Problem while tibblifying `x[[2]]$a`
#> Caused by error:
#> ! Can't convert <list> to <integer>.
Use vector_allows_empty_list = TRUE
in
tspec_*()
so that they are converted to an empty vector
instead:
When using jsonlite::fromJSON(simplifyVector = FALSE)
to
parse JSON to an R object one does not get R vectors but homogeneous
lists of scalars:
x_json <- '[
{"a": [1, 2]},
{"a": [1, 2, 3]}
]'
x <- jsonlite::fromJSON(x_json, simplifyVector = FALSE)
str(x)
#> List of 2
#> $ :List of 1
#> ..$ a:List of 2
#> .. ..$ : int 1
#> .. ..$ : int 2
#> $ :List of 1
#> ..$ a:List of 3
#> .. ..$ : int 1
#> .. ..$ : int 2
#> .. ..$ : int 3
By default they cannot be parsed with tib_vector()
tibblify(x, tspec_df(tib_int_vec("a")))
#> Error in `tibblify()`:
#> ! Problem while tibblifying `x[[1]]$a`
#> Caused by error:
#> ! Can't convert <list> to <integer>.
Use input_form = "scalar_list"
in
tib_vector()
to parse them:
Sometimes vectors are encoded as objects in JSON:
x_json <- '[
{"a": {"x": 1, "y": 2}},
{"a": {"a": 1, "b": 2, "b": 3}}
]'
x <- jsonlite::fromJSON(x_json, simplifyVector = FALSE)
str(x)
#> List of 2
#> $ :List of 1
#> ..$ a:List of 2
#> .. ..$ x: int 1
#> .. ..$ y: int 2
#> $ :List of 1
#> ..$ a:List of 3
#> .. ..$ a: int 1
#> .. ..$ b: int 2
#> .. ..$ b: int 3
Use input_form = "object"
in tib_vector()
to parse them. To actually store the names use the names_to
and values_to
argument:
spec <- tspec_df(
tib_int_vec(
"a",
input_form = "object",
names_to = "name",
values_to = "value"
)
)
tibblify(x, spec)$a
#> <list_of<
#> tbl_df<
#> name : character
#> value: integer
#> >
#> >[2]>
#> [[1]]
#> # A tibble: 2 × 2
#> name value
#> <chr> <int>
#> 1 x 1
#> 2 y 2
#>
#> [[2]]
#> # A tibble: 3 × 2
#> name value
#> <chr> <int>
#> 1 a 1
#> 2 b 2
#> 3 b 3
Lists where elements do not have a common type but vary. For example:
can be parsed with tib_variant()
.
The R equivalent to a JSON object is a named list where the names
fulfill the requirements of
vctrs::vec_as_names(repair = "check_unique")
.
They can be parsed with tib_row()
. For example
List of objects
They can be parsed with tib_df()
.
A special form are named lists of object. In JSON they are represented as objects where each element is an object.
They are also parsed with tib_df()
but you can parse the
names into an extra column via the .names_to
argument:
x_json <- '[
{
"df": {
"object1": {"a": 1, "b": true},
"object2": {"a": 2, "b": false}
}
}]'
x <- jsonlite::fromJSON(x_json, simplifyDataFrame = FALSE)
spec <- tspec_df(
tib_df(
"df",
tib_int("a"),
tib_lgl("b"),
.names_to = "name"
)
)
tibblify(x, spec)$df
#> <list_of<
#> tbl_df<
#> name: character
#> a : integer
#> b : logical
#> >
#> >[1]>
#> [[1]]
#> # A tibble: 2 × 3
#> name a b
#> <chr> <int> <lgl>
#> 1 object1 1 TRUE
#> 2 object2 2 FALSE
The column major format is also supported
via .input_form = "colmajor"
in
tspec_*()
:
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.