code: def _series_with_name(data, name):
      if type(data) == pd.Series:
          data.name = name
          # ensures a numeric index
          return data.reset_index()[name]
      else:
          return pd.Series(data, name=name)
  
imports: import json
  import logging
  import numpy
  import pandas
  from collections import namedtuple
  from joblib import Parallel, delayed, cpu_count
  from scipy.stats import entropy
  from scipy.spatial.distance import pdist, squareform
  from sklearn.manifold import MDS, TSNE
  from pyLDAvis.utils import NumPyEncoder
label_desc: Use image node_id 10 for calling a global function with example usage: _series_with_name(data, name) and returns: data, pd