code: def _aligned_series(*many_series):
      """
      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 : list[pd.Series]
  
      Returns
      -------
      aligned_series : list[pd.Series]
  
          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.
  
      """
      return [
          series
          for col, series in iteritems(pd.concat(many_series, axis=1))
      ]
  
imports: from __future__ import division
  from functools import wraps
  import pandas
  import numpy
  from scipy import stats
  from six import iteritems
  from empyrical.utils import nanmean, nanstd, nanmin
label_desc: Use image node_id 17 for calling a global function with example usage: _aligned_series() and returns: unknown