code: def zero_centered_scale(ar):
      ar[ar > 0] = scale(ar[ar > 0])
      ar[ar < 0] = -scale(-ar[ar < 0])
      return (ar + 1) / 2.0
  
imports: import numpy
  import spacy
  from sklearn.linear_model import LogisticRegression
  from scattertext import SampleCorpora, produce_scattertext_explorer
  from scattertext.CorpusFromPandas import CorpusFromPandas
  from scattertext.Scalers import scale
label_desc: Use image node_id 1 for calling a global function with example usage: zero_centered_scale(ar) and returns: unknown