DataFrame.sort() raises PanicException: arg_sort operation not supported for dtype struct[1]

[cmdlineluser]

Polars version checks

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of Polars.

Issue description

Using df.sort() with a struct column raises an error pointing to:

https://github.com/pola-rs/polars/blob/master/polars/polars-core/src/series/series_trait.rs#L361-L363

Expr.sort was added for struct in #7021 - it seems like it should be possible in df.sort too?

Edit: It seems it's not specific to struct - it happens with lists too.

Thanks all.

Reproducible example

import polars as pl

df = pl.Series([{"a": 300}, {"a": 20}, {"a": 55}]).to_frame("st").with_row_count()

# shape: (3, 2)
# ┌────────┬───────────┐
# │ row_nr ┆ st        │
# │ ---    ┆ ---       │
# │ u32    ┆ struct[1] │
# ╞════════╪═══════════╡
# │ 0      ┆ {300}     │
# │ 1      ┆ {20}      │
# │ 2      ┆ {55}      │
# └────────┴───────────┘


df.with_columns(pl.col("st").sort())

# shape: (3, 2)
# ┌────────┬───────────┐
# │ row_nr ┆ st        │
# │ ---    ┆ ---       │
# │ u32    ┆ struct[1] │
# ╞════════╪═══════════╡
# │ 0      ┆ {20}      │
# │ 1      ┆ {55}      │
# │ 2      ┆ {300}     │
# └────────┴───────────┘

df.sort("st")

#   thread '<unnamed>' panicked at 
#      '`arg_sort` operation not supported for dtype `struct[1]`',
#      polars/polars/polars-core/src/series/series_trait.rs:362:9

Expected behavior

# shape: (3, 2)
# ┌────────┬───────────┐
# │ row_nr ┆ st        │
# │ ---    ┆ ---       │
# │ u32    ┆ struct[1] │
# ╞════════╪═══════════╡
# │ 1      ┆ {20}      │
# │ 2      ┆ {55}      │
# │ 0      ┆ {300}     │
# └────────┴───────────┘

Installed versions

---Version info---
Polars: 0.16.15
Index type: UInt32
Python: 3.10.9 (main, Jan 14 2023, 16:56:26)
---Optional dependencies---
numpy: 1.23.5
pandas: 1.5.3
pyarrow: 9.0.0
connectorx: <not installed>
deltalake: <not installed>
fsspec: 2022.8.2
matplotlib: 3.5.1
xlsx2csv: 0.8
xlsxwriter: 3.0.8

[ritchie46]

Yes, we should add that.