# numpy.core.records.fromrecords

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

  Create a recarray from a list of records in text form.

  Parameters:
    recList sequence

      data in the same field may be heterogeneous - they will be promoted to the highest data type.

    dtype data-type, optional

      valid dtype for all arrays

    shape int or tuple of ints, optional

      shape of each array.

    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.

      If both formats and `dtype` are None, then this will auto-detect formats. Use list of tuples rather than list of lists for faster processing.

  Returns:
    np.recarray

      record array consisting of given recList rows.

  Examples

      >>> r=np.core.records.fromrecords([(456,'dbe',1.2),(2,'de',1.3)],
      ... names='col1,col2,col3')
      >>> print(r[0])
      (456, 'dbe', 1.2)
      >>> r.col1
      array([456,   2])
      >>> r.col2
      array(['dbe', 'de'], dtype='<U3')
      >>> import pickle
      >>> pickle.loads(pickle.dumps(r))
      rec.array([(456, 'dbe', 1.2), (  2, 'de', 1.3)],
                dtype=[('col1', '<i8'), ('col2', '<U3'), ('col3', '<f8')])