message: adding docs for experimental numpy conversion
diff: @@ -344,6 +344,14 @@ cdef class Table:
  return py_arrow_table.to_pandas()
  def to_numpy(self, order='F') -> np.ndarray:
  + """
  + [Experimental]
  + This method converts a Cylon Table to a 2D numpy array.
  + In the conversion we stack each column in the Table and create a numpy array.
  + For Heterogeneous Tables, use the generated array with Caution.
  + :param order: numpy array order. 'F': Fortran Style F_Contiguous or 'C' C Style C_Contiguous
  + :return: ndarray
  + """
  table = to_pyarrow_table(self.id.encode())
  py_arrow_table = pyarrow_wrap_table(table)
  ar_lst = []
  @@ -360,7 +368,6 @@ cdef class Table:
  cdef class csv_reader:
  -
  @staticmethod
  def read(ctx: CylonContext, path: str, delimiter: str) -> Table:
  cdef string spath = path.encode()
  