Polars: Search and replace in column names: is it possible with LazyFrames?

A follow up from an already answered question, is it possible to Search and replace column names in a LazyFrame? I am doing this as a workaround (based on the linked answer by ritchie46, and thanks for that!):

df = df.lazy().collect()
df.columns = list(map(lambda x: x.replace("Total", ""), df.columns)) 

There is also pl.LazyFrame.rename.

import polars as pl

df = pl.LazyFrame({
    "Total_foo": [1],
    "bar_Total": [2],
    "other": [3],
})

df.rename(lambda name: name.replace("Total", "")).collect()

shape: (1, 3)
┌──────┬──────┬───────┐
│ _foo ┆ bar_ ┆ other │
│ ---  ┆ ---  ┆ ---   │
│ i64  ┆ i64  ┆ i64   │
╞══════╪══════╪═══════╡
│ 1    ┆ 2    ┆ 3     │
└──────┴──────┴───────┘