as-numeric
Coerce a column to numeric, or tag an aesthetic as continuous.
Two call forms: when given (data, col) it returns a new dataset with col parsed as a number in every row; when given (col) alone it returns a mapping-ref annotation that aes accepts in place of a column name, forcing the scale system to treat that channel as continuous.
Usage
as-numeric(data, col)as-numeric(col)Arities
as-numeric(data, col): Return a new dataset withcolconverted to numbers viaparse-number.as-numeric(col): Return amapping-refdict taggingcolas continuous foraes.
Parameters
| Parameter | Default | Description |
|---|---|---|
..args |
Either (data, col) or (col). See arities. |
Returns
New dataset (2-arg) or mapping-ref dict (1-arg).
Examples
Two-arg form rewrites a column with parsed numbers; useful when the data arrived as strings.
#let raw = (
(x: "1", y: 2.0),
(x: "2", y: 4.0),
(x: "3", y: 9.0),
)
#let d = as-numeric(raw, "x")
#plot(
data: d,
mapping: aes(x: "x", y: "y"),
layers: (geom-point(size: 3pt),),
width: 10cm,
height: 6cm,
)
One-arg form tags the column inside aes so the scale picks continuous semantics without rewriting the dataset.
#let raw = (
(x: 1, y: 2.0),
(x: 2, y: 4.0),
(x: 3, y: 9.0),
)
#plot(
data: raw,
mapping: aes(x: as-numeric("x"), y: "y"),
layers: (geom-point(size: 3pt),),
width: 10cm,
height: 6cm,
)
