# numpy.core.records.fromarrays

core.records.fromarrays(arrayList, dtype=None, shape=None, formats=None, names=None, titles=None, aligned=False, byteorder=None)

  Create a record array from a (flat) list of arrays

  Parameters:
    arrayList list or tuple

      List of array-like objects (such as lists, tuples, and ndarrays).

    dtype data-type, optional

      valid dtype for all arrays

    shape int or tuple of ints, optional

      Shape of the resulting array. If not provided, inferred from `arrayList[0]`.

    formats, names, titles, aligned, byteorder

      If `dtype` is `None`, these arguments are passed to `numpy.format_parser` to construct a dtype. See that function for detailed documentation.

  Returns:
    np.recarray

      Record array consisting of given arrayList columns.

  Examples

      >>> x1=np.array([1,2,3,4])
      >>> x2=np.array(['a','dd','xyz','12'])
      >>> x3=np.array([1.1,2,3,4])
      >>> r = np.core.records.fromarrays([x1,x2,x3],names='a,b,c')
      >>> print(r[1])
      (2, 'dd', 2.0) # may vary
      >>> x1[1]=34
      >>> r.a
      array([1, 2, 3, 4])

      >>> x1 = np.array([1, 2, 3, 4])
      >>> x2 = np.array(['a', 'dd', 'xyz', '12'])
      >>> x3 = np.array([1.1, 2, 3,4])
      >>> r = np.core.records.fromarrays(
      ...     [x1, x2, x3],
      ...     dtype=np.dtype([('a', np.int32), ('b', 'S3'), ('c', np.float32)]))
      >>> r
      rec.array([(1, b'a', 1.1), (2, b'dd', 2. ), (3, b'xyz', 3. ),
                 (4, b'12', 4. )],
                dtype=[('a', '<i4'), ('b', 'S3'), ('c', '<f4')])