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convert all nulls to nans in a specific scenario #17677

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3 changes: 2 additions & 1 deletion python/cudf/cudf/core/column/column.py
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
# Copyright (c) 2018-2024, NVIDIA CORPORATION.
# Copyright (c) 2018-2025, NVIDIA CORPORATION.

from __future__ import annotations

Expand Down Expand Up @@ -2402,6 +2402,7 @@ def as_column(
and arbitrary.null_count > 0
):
arbitrary = arbitrary.cast(pa.float64())
arbitrary = pc.fill_null(arbitrary, np.nan)
if (
cudf.get_option("default_integer_bitwidth")
and pa.types.is_integer(arbitrary.type)
Expand Down
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