Separate a character column into multiple columns based on a substring

Currently, splitting a column on a regular expression or position is not possible.

Usage

# S3 method for class 'RPolarsDataFrame'
separate(data, col, into, sep = " ", remove = TRUE, ...)

# S3 method for class 'RPolarsLazyFrame'
separate(data, col, into, sep = " ", remove = TRUE, ...)

Arguments

data

A Polars Data/LazyFrame

col

Column to split

into

Character vector containing the names of new variables to create. Use NA to omit the variable in the output.

sep

String that is used to split the column. Regular expressions are not supported yet.

remove

If TRUE, remove input column from output data frame.

...

Dots which should be empty.

Examples

test <- polars::pl$DataFrame(
  x = c(NA, "x.y", "x.z", "y.z")
)
separate(test, x, into = c("foo", "foo2"), sep = ".")
#> shape: (4, 2)
#> ┌──────┬──────┐
#> │ foo  ┆ foo2 │
#> │ ---  ┆ ---  │
#> │ str  ┆ str  │
#> ╞══════╪══════╡
#> │ null ┆ null │
#> │ x    ┆ y    │
#> │ x    ┆ z    │
#> │ y    ┆ z    │
#> └──────┴──────┘