ak.from_iter#

Defined in awkward.operations.ak_from_iter on line 19.

ak.from_iter(iterable, *, allow_record=True, highlevel=True, behavior=None, attrs=None, initial=1024, resize=8)#

Parameters:

iterable (Python iterable) – Data to convert into an Awkward Array.
allow_record (bool) – If True, the outermost element may be a record (returning ak.Record or ak.record.Record type, depending on highlevel); if False, the outermost element must be an array.
highlevel (bool) – 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.
initial (int) – Initial size (in bytes) of buffers used by the ak::ArrayBuilder.
resize (float) – Resize multiplier for buffers used by the ak::ArrayBuilder; should be strictly greater than 1.

Converts Python data into an Awkward Array.

Any heterogeneous and deeply nested Python data can be converted, but the output will never have regular-typed array lengths. Internally, this function uses ak::ArrayBuilder (see the high-level ak.ArrayBuilder documentation for a more complete description).

The following Python types are supported.

bool, including np.bool_: converted into ak.contents.NumpyArray.
int, including np.integer: converted into ak.contents.NumpyArray.
float, including np.floating: converted into ak.contents.NumpyArray.
bytes: converted into ak.contents.ListOffsetArray with parameter "__array__" equal to "bytestring" (unencoded bytes).
str: converted into ak.contents.ListOffsetArray with parameter "__array__" equal to "string" (UTF-8 encoded string).
tuple: converted into ak.contents.RecordArray without field names (i.e. homogeneously typed, uniform sized tuples).
dict: converted into ak.contents.RecordArray with field names (i.e. homogeneously typed records with the same sets of fields).
iterable, including np.ndarray: converted into ak.contents.ListOffsetArray.