ak.zeros_like

Defined in awkward.operations.structure on line 1114.

ak.zeros_like(array, highlevel=True, behavior=None, dtype=None)

Parameters

• array – Array to use as a model for a replacement that contains only 0.

• highlevel (bool, default is True) – If True, return an ak.Array; otherwise, return a low-level ak.layout.Content subclass.

• behavior (None or dict) – Custom ak.behavior for the output array, if high-level.

• dtype (None or type) – Overrides the data type of the result.

This is the equivalent of NumPy’s np.zeros_like for Awkward Arrays.

See ak.full_like for details, and see also ak.ones_like.

(There is no equivalent of NumPy’s np.empty_like because Awkward Arrays are immutable.)