DataTypes (RPolarsDataType)

Description

DataType any polars type (ported so far)

Value

not applicable

Examples

library(polars)

print(ls(pl$dtypes))

#>  [1] "Array"       "Binary"      "Boolean"     "Categorical" "Date"       
#>  [6] "Datetime"    "Duration"    "Enum"        "Float32"     "Float64"    
#> [11] "Int16"       "Int32"       "Int64"       "Int8"        "List"       
#> [16] "Null"        "String"      "Struct"      "Time"        "UInt16"     
#> [21] "UInt32"      "UInt64"      "UInt8"       "Unknown"     "Utf8"

pl$dtypes$Float64

#> DataType: Float64

pl$dtypes$String

#> DataType: String

pl$List(pl$List(pl$UInt64))

#> DataType: List(
#>     List(
#>         UInt64,
#>     ),
#> )

pl$Struct(pl$Field("CityNames", pl$String))

#> DataType: Struct(
#>     [
#>         Field {
#>             name: "CityNames",
#>             dtype: String,
#>         },
#>     ],
#> )

# The function changes type from Int32 to String
# Specifying the output DataType: String solves the problem
as_polars_series(1:4)$map_elements(\(x) letters[x], datatype = pl$dtypes$String)

#> polars Series: shape: (4,)
#> Series: '_apply' [str]
#> [
#>  "a"
#>  "b"
#>  "c"
#>  "d"
#> ]