feat: Add name.replace to the set of column rename options

[alexander-beedie]

Closes #17920.

Handy addition to the set of name methods.

Example

import polars.selectors as cs
import polars as pl

df = pl.DataFrame({
    "n_foo": [1, 2, 3],
    "n_bar": [4, 5, 6],
    "denom": [7, 8, 9],
}).with_columns(
    cs.starts_with("n_").truediv("denom").name.replace("^n_", "frac_"),
)
# shape: (3, 5)
# ┌───────┬───────┬───────┬──────────┬──────────┐
# │ n_foo ┆ n_bar ┆ denom ┆ frac_foo ┆ frac_bar │
# │ ---   ┆ ---   ┆ ---   ┆ ---      ┆ ---      │
# │ i64   ┆ i64   ┆ i64   ┆ f64      ┆ f64      │
# ╞═══════╪═══════╪═══════╪══════════╪══════════╡
# │ 1     ┆ 4     ┆ 7     ┆ 0.142857 ┆ 0.571429 │
# │ 2     ┆ 5     ┆ 8     ┆ 0.25     ┆ 0.625    │
# │ 3     ┆ 6     ┆ 9     ┆ 0.333333 ┆ 0.666667 │
# └───────┴───────┴───────┴──────────┴──────────┘

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 79.13%. Comparing base (676f10d) to head (fe03f7a).

Additional details and impacted files

@@           Coverage Diff           @@
##             main   #17942   +/-   ##
=======================================
  Coverage   79.13%   79.13%           
=======================================
  Files        1572     1572           
  Lines      219839   219859   +20     
  Branches     2462     2462           
=======================================
+ Hits       173961   173986   +25     
+ Misses      45310    45305    -5     
  Partials      568      568           

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[ritchie46]

We want to move all map functions to map_private so that the DSL can be serialized and has all the information. So this requires a map_private where we do the expansion upon ir conversion.