ak.ones_like#

ak.ones_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.ones_like for Awkward Arrays.

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

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