Python 删除 Polars 中 `list[str]` 类型列的重复行

我有一个DataFrame，它的列包含字符串列表.我希望筛选DataFrame以删除列表列的重复值的行.

例如,

import polars as pl

# Create a DataFrame with a list[str] type column
data = pl.DataFrame({
    "id": [1, 2, 3, 4],
    "values": [
        ["a", "a", "a"], # first two rows are duplicated
        ["a", "a", "a"],
        ["b", "b", "b"],
        ["c", "d", "e"]
    ]
})

print(data)

shape: (4, 2)
┌─────┬─────────────────┐
│ id  ┆ values          │
│ --- ┆ ---             │
│ i64 ┆ list[str]       │
╞═════╪═════════════════╡
│ 1   ┆ ["a", "a", "a"] │
│ 2   ┆ ["a", "a", "a"] │
│ 3   ┆ ["b", "b", "b"] │
│ 4   ┆ ["c", "d", "e"] │
└─────┴─────────────────┘

预期结果:

shape: (3, 2)
┌─────┬─────────────────┐
│ id  ┆ values          │
│ --- ┆ ---             │
│ i64 ┆ list[str]       │
╞═════╪═════════════════╡
│ 1   ┆ ["a", "a", "a"] │
│ 3   ┆ ["b", "b", "b"] │
│ 4   ┆ ["c", "d", "e"] │
└─────┴─────────────────┘

使用unique方法对类型list[str]不起作用(但是，当List包含数值类型时，它起作用).

data.unique(subset="values")

ComputeError: grouping on list type is only allowed if the inner type is numeric