ak.zeros_like#

Defined in awkward.operations.ak_zeros_like on line 18.

ak.zeros_like(array, *, dtype=None, including_unknown=False, highlevel=True, behavior=None, attrs=None)#
Parameters:

  • array – Array-like data (anything ak.to_layout recognizes).

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

  • including_unknown (bool) – If True, the unknown type is considered a value type and is converted to a zero-length array of the specified dtype; if False, unknown will remain unknown.

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

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

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

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.)