feat: dask expr __invert__, is_null, n_unique methods
#763
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FBruzzesi
commented
Aug 9, 2024
| data_na = {"a": [None, 3, 2], "z": [7.0, None, None]} | ||
| expected = {"a": [True, False, False], "z": [True, False, False]} | ||
| df = nw.from_native(constructor(data_na)) | ||
| result = df.select(nw.col("a").is_null(), ~nw.col("z").is_null()) |
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Apparently, this is the only place in which we also test __invert__, that's why the implementation ended up in the same pr
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thanks! could you resolve the conflict please? |
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Convers a few methods and refactor
is_nulltest