Convert to a vector

Description

Convert to a vector

Usage

## S3 method for class 'RPolarsSeries'
as.vector(x, mode)

Arguments

x	A Polars Series
mode	Not used.

Conversion to R data types considerations

When converting Polars objects, such as DataFrames to R objects, for example via the as.data.frame() generic function, each type in the Polars object is converted to an R type. In some cases, an error may occur because the conversion is not appropriate. In particular, there is a high possibility of an error when converting a Datetime type without a time zone. A Datetime type without a time zone in Polars is converted to the POSIXct type in R, which takes into account the time zone in which the R session is running (which can be checked with the Sys.timezone() function). In this case, if ambiguous times are included, a conversion error will occur. In such cases, change the session time zone using Sys.setenv(TZ = "UTC") and then perform the conversion, or use the $dt$replace_time_zone() method on the Datetime type column to explicitly specify the time zone before conversion.

# Due to daylight savings, clocks were turned forward 1 hour on Sunday, March 8, 2020, 2:00:00 am
# so this particular date-time doesn't exist
non_existent_time = as_polars_series("2020-03-08 02:00:00")\$str\$strptime(pl\$Datetime(), "%F %T")

withr::with_timezone(
  "America/New_York",
  {
    tryCatch(
      # This causes an error due to the time zone (the `TZ` env var is affected).
      as.vector(non_existent_time),
      error = function(e) e
    )
  }
)
#> <error: in to_r: ComputeError(ErrString("datetime '2020-03-08 02:00:00' is non-existent in time zone 'America/New_York'. You may be able to use `non_existent='null'` to return `null` in this case.")) When calling: devtools::document()>

withr::with_timezone(
  "America/New_York",
  {
    # This is safe.
    as.vector(non_existent_time\$dt\$replace_time_zone("UTC"))
  }
)
#> [1] "2020-03-08 02:00:00 UTC"