ak.from_numpy

Defined in awkward.operations.ak_from_numpy on line 12.

ak.from_numpy(array, *, regulararray=False, recordarray=True, highlevel=True, behavior=None, primitive_policy='error', attrs=None)

Parameters:

• array (np.ndarray) – The NumPy array to convert into an Awkward Array. This array can be a np.ma.MaskedArray.

• regulararray (bool) – If True and the array is multidimensional, the dimensions are represented by nested ak.contents.RegularArray nodes; if False and the array is multidimensional, the dimensions are represented by a multivalued ak.contents.NumpyArray.shape. If the array is one-dimensional, this has no effect.

• recordarray (bool) – If True and the array is a NumPy structured array (dtype.names is not None), the fields are represented by an ak.contents.RecordArray; if False and the array is a structured array, the structure is left in the ak.contents.NumpyArray format, which some functions do not recognize.

• 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.

Converts a NumPy array into an Awkward Array.

The resulting layout can only involve the following ak.contents.Content types:

• ak.contents.NumpyArray

• ak.contents.ByteMaskedArray or ak.contents.UnmaskedArray if the array is an np.ma.MaskedArray.

• ak.contents.RegularArray if regulararray=True.

• ak.contents.RecordArray if recordarray=True.

See also ak.to_numpy and ak.from_cupy.