I would like to expand the following Polars dataframe by repeating rows based on values in the quantity column.

Original DataFrame:

import polars as pl

df = pl.from_repr("""
┌────────┬──────────┐
│ Fruit  ┆ Quantity │
│ ---    ┆ ---      │
│ str    ┆ i64      │
╞════════╪══════════╡
│ Apple  ┆ 2        │
│ Banana ┆ 3        │
└────────┴──────────┘
""")

Expected Output:

shape: (5, 3)
┌─────┬────────┬──────────┐
│ ID  ┆ Fruit  ┆ Quantity │
│ --- ┆ ---    ┆ ---      │
│ i64 ┆ str    ┆ i32      │
╞═════╪════════╪══════════╡
│ 100 ┆ Apple  ┆ 1        │
│ 100 ┆ Apple  ┆ 1        │
│ 200 ┆ Banana ┆ 1        │
│ 200 ┆ Banana ┆ 1        │
│ 200 ┆ Banana ┆ 1        │
└─────┴────────┴──────────┘

Here is a very similar question but using Pandas instead of Polars:

• Repeat rows in a pandas DataFrame based on column value

The polars repeat function does not seem to offer the same functionality as its Pandas counterpart: