feat: Add backend argument to lazy
#1895
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narwhals/dataframe.py
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| supported_backends = ( | ||
| Implementation.DASK, | ||
| Implementation.DUCKDB, | ||
| Implementation.POLARS, | ||
| ) |
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RIP Pyspark 😂 Happy to add it later no worries, I am just kidding!
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Sure, I will try to look into adding PySpark in a follow-up PR
narwhals/_duckdb/dataframe.py
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| def lazy(self: Self, *, backend: Implementation | None = None) -> Self: | ||
| return self |
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LazyFrame does not have backend option anyway.
If it would, I feel like I rather raise if the passed backend here was different than None or Implementation.DUCKDB
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Thank you for the review, @FBruzzesi!
I added the backend argument to be able to run the following code:
import narwhals.stable.v1 as nw_v1
nw_v1.from_native(duckdb_rel).lazy()
which otherwise made the tests fail for V1. I also now added ValueError if backend is not None for DuckDB.
Co-authored-by: Francesco Bruzzesi <[email protected]>
for more information, see https://pre-commit.ci
…/lazy-backend-arg
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Thanks @raisadz , I left a tiny suggestion for DuckDB only.
In the meanwhile, I adjusted .collect to allow backend to take the following types: str | ModuleType | Implementation | None - see #1734
We might want to allow the same here? It can be a follow up PR anyway, but I just wanted to make you aware of it.
| # backwards compatibility because in `narwhals.stable.v1` | ||
| # function `.from_native()` will return a DataFrame for DuckDB. | ||
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| if backend is not None: # pragma: no cover |
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I think duckdb should be allowed?
| if backend is not None: # pragma: no cover | |
| if backend not in (None, Implementation.DUCKDB): # pragma: no cover |
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i don't think it needs to be - if this path only exists for v1 backwards-compatibility, then #1895 (comment) is something somebody could have written, but they wouldn't have passed a backend, so raising for backend is not None wouldn't break anyone's code
What type of PR is this? (check all applicable)
Related issues
backendargument tolazy#1889Checklist
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