code: def _aligned_series(*many_series):
      
      head = many_series[0]
      tail = many_series[1:]
      n = len(head)
      if (isinstance(head, np.ndarray) and
              all(len(s) == n and isinstance(s, np.ndarray) for s in tail)):
          # optimization: ndarrays of the same length are already aligned
          return many_series
  
      # dataframe has no ``itervalues``
      return (
          v
          for _, v in iteritems(pd.concat(map(_to_pandas, many_series), axis=1))
      )
docs: Return a new list of series containing the data in the input series, but
      with their indices aligned. NaNs will be filled in for missing values.
  
      Parameters
      ----------
      *many_series
          The series to align.
  
      Returns
      -------
      aligned_series : iterable[array-like]
          A new list of series containing the data in the input series, but
          with their indices aligned. NaNs will be filled in for missing values.