Add `Expr.map_elements(...)` functionality
DeflateAwning opened this issue · 5 comments
Python and Rust Polars both prefer map_elements
to apply
, and have a deprecation warning.
At the very least, I think that .map_elements
should work and should be in the doc.
Upon further inspection, I'm getting errors like NoMethodError (undefined method 'apply' for col("date_min"):Polars::Expr)
while trying:
df.with_columns(
date: Polars.col('date_min').apply {|date_min| Polars.date_range(date_min, date_max, "1mo")}
)
Looking at the docs, I see DataFrame.apply
and Series.apply
, but no XxxExpr.apply
. I think maybe those function mappings/implementations were missed entirely. Wondering if they could be added?
Hi @DeflateAwning, Series
already has map_elements
, and I aliased DataFrame#apply
to map_rows
in 6b8c9b4. I haven't been able to get Expr#map_elements
/Expr#apply
to work without crashing, but someone is welcome to submit a PR if they're able to.
Darn, okay. That's a pretty big limitation for now; I guess the workaround for that is to iterate through the rows and then reconstruct a dataframe afterwards.