ak.from_numpy
-------------

.. py:module: ak.from_numpy

Defined in `awkward.operations.ak_from_numpy <https://github.com/scikit-hep/awkward/blob/76cb66b946cbf2ae355bddf2530b323465395bae/src/awkward/operations/ak_from_numpy.py>`__ on `line 12 <https://github.com/scikit-hep/awkward/blob/76cb66b946cbf2ae355bddf2530b323465395bae/src/awkward/operations/ak_from_numpy.py#L12>`__.

.. py:function:: ak.from_numpy(array, *, regulararray=False, recordarray=True, highlevel=True, behavior=None, attrs=None)


    :param array: The NumPy array to convert into an Awkward Array.
              This array can be a np.ma.MaskedArray.
    :type array: np.ndarray
    :param regulararray: If True and the array is multidimensional,
                     the dimensions are represented by nested :py:obj:`ak.contents.RegularArray`
                     nodes; if False and the array is multidimensional, the dimensions
                     are represented by a multivalued :py:obj:`ak.contents.NumpyArray.shape`.
                     If the array is one-dimensional, this has no effect.
    :type regulararray: bool
    :param recordarray: If True and the array is a NumPy structured array
                    (dtype.names is not None), the fields are represented by an
                    :py:obj:`ak.contents.RecordArray`; if False and the array is a structured
                    array, the structure is left in the :py:obj:`ak.contents.NumpyArray` ``format``,
                    which some functions do not recognize.
    :type recordarray: bool
    :param highlevel: If True, return an :py:obj:`ak.Array`; otherwise, return
                  a low-level :py:obj:`ak.contents.Content` subclass.
    :type highlevel: bool
    :param behavior: Custom :py:obj:`ak.behavior` for the output array, if
                 high-level.
    :type behavior: None or dict
    :param attrs: Custom attributes for the output array, if
              high-level.
    :type attrs: None or dict

Converts a NumPy array into an Awkward Array.

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

* :py:obj:`ak.contents.NumpyArray`
* :py:obj:`ak.contents.ByteMaskedArray` or :py:obj:`ak.contents.UnmaskedArray` if the
  ``array`` is an np.ma.MaskedArray.
* :py:obj:`ak.contents.RegularArray` if ``regulararray=True``.
* :py:obj:`ak.contents.RecordArray` if ``recordarray=True``.

See also :py:obj:`ak.to_numpy` and :py:obj:`ak.from_cupy`.