[Python] Drop rows with all zeros in Polars DataFrame

I can use drop_nans() function to remove rows with some or all columns set as nan.

Is there an equivalent function for dropping rows with all columns having value 0?

import polars as pl
df = pl.DataFrame({"a":[0, 0, 0, 0, 30],
"b":[0, 0, 0, 0, 40],
"c":[0, 0, 0, 0, 50]})

>>> df

a b c
i64 i64 i64
------------------------
0 0 0
0 0 0
0 0 0
0 0 0
30 40 50


In this example, I would like to drop the first 4 rows from the dataframe.

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