ak.to_layout

Defined in awkward.operations.ak_to_layout on line 31.

ak.to_layout(array, *, allow_record=True, allow_unknown=False, none_policy='error', use_from_iter=True, primitive_policy='promote', string_policy='as-characters', regulararray=True)

Parameters:

• array – Array-like data. May be a high level ak.Array, ak.Record (if allow_record), ak.ArrayBuilder, or low-level ak.contents.Content, ak.record.Record (if allow_record), or a supported backend array (NumPy ndarray, CuPy ndarray, JAX DeviceArray), data-less TypeTracer, Arrow object, or an arbitrary Python iterable (for ak.from_iter to convert).

• allow_record (bool) – If True, allow ak.record.Record as an output; otherwise, if the output would be a scalar record, raise an error.

• allow_unknown (bool) – If True, allow non-Awkward outputs; otherwise, raise an error.

• use_from_iter (bool) – If True, allow conversion of iterable inputs to arrays using ak.from_iter; otherwise, throw an Exception.

• none_policy (bool) – (“error”, “pass-through”, “promote”): If “error”, throw an Exception for None inputs; if “pass-through”, return None; otherwise, for “promote” return a length-one array containing the None with unknown type.

• primitive_policy ("error", "pass-through", "promote") – If “error”, throw an Exception for scalar inputs; if “pass-through”, return the scalar input; otherwise, for “promote” return a length-one array containing the scalar.

• string_policy ("error", "pass-through", "as-characters", "promote") – If “error”, throw an Exception for scalar inputs; if “pass-through”, return the scalar input; ir “as-characters”, return an array of characters; otherwise, for “promote” return a length-one array containing the string.

• regulararray (bool) – Prefer to create ak.contents.RegularArray nodes for regular array objects.

Converts array (many types supported, including all Awkward Arrays and Records) into a ak.contents.Content and maybe ak.record.Record or other types.

This function is usually used to sanitize inputs for other functions; it would rarely be used in a data analysis because ak.contents.Content and ak.record.Record are lower-level than ak.Array.