pl.all().filter PanicException

[cmdlineluser]

Checks

• I have checked that this issue has not already been reported.
• I have confirmed this bug exists on the latest version of Polars.

Reproducible example

import polars as pl

df = pl.DataFrame({"foo": [1], "bar": [2]})

df.select(pl.all().filter(foo = 1))
# thread '<unnamed>' panicked at /Users/runner/work/polars/polars/crates/polars-plan/src/dsl/mod.rs:1145:13:
# filter '*' not allowed, use LazyFrame::filter
# PanicException: filter '*' not allowed, use LazyFrame::filter

Log output

No response

Issue description

Explicitly naming all the columns works.

df.select(pl.col("foo", "bar").filter(foo = 1))
# shape: (1, 2)
# ┌─────┬─────┐
# │ foo ┆ bar │
# │ --- ┆ --- │
# │ i64 ┆ i64 │
# ╞═════╪═════╡
# │ 1   ┆ 2   │
# └─────┴─────┘

Expected behavior

Should be allowed?

If not, the panic can be replaced with the appropriate error.

Installed versions

--------Version info---------
Polars:               1.7.1
Index type:           UInt32
Platform:             macOS-13.6.1-arm64-arm-64bit
Python:               3.12.2 (main, Feb  6 2024, 20:19:44) [Clang 15.0.0 (clang-1500.1.0.2.5)]

----Optional dependencies----
adbc_driver_manager:  <not installed>
cloudpickle:          <not installed>
connectorx:           <not installed>
deltalake:            <not installed>
fastexcel:            <not installed>
fsspec:               <not installed>
gevent:               <not installed>
great_tables:         <not installed>
hvplot:               <not installed>
matplotlib:           <not installed>
nest_asyncio:         <not installed>
numpy:                1.26.4
openpyxl:             <not installed>
pandas:               2.2.1
pyarrow:              15.0.2
pydantic:             <not installed>
pyiceberg:            <not installed>
sqlalchemy:           <not installed>
torch:                <not installed>
xlsx2csv:             <not installed>
xlsxwriter:           <not installed>