code: def _turn_counts_into_matrix(cat_word_counts, not_cat_word_counts):
      return np.array([cat_word_counts, not_cat_word_counts]).T
  
file_path: scattertext/scattertext/termscoring/LogOddsUniformativePriorScore.py
imports: import numpy
  import pandas
  from scattertext.termscoring.CorpusBasedTermScorer import CorpusBasedTermScorer
  from scattertext.termsignificance import LogOddsRatioUninformativeDirichletPrior
label_desc: Use image node_id 5 for calling the LogOddsUninformativePriorScore obj's underlying member method code with example usage: obj._turn_counts_into_matrix(cat_word_counts, not_cat_word_counts) and returns: np