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-levelak.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.)