code: def norm_dist_obj_arr(obj_arr):
      """Normalizes a multi-factor or -modality collection of Categorical probability distributions, assuming sufficient statistics of each conditional distribution
      are stored in the leading dimension"""
      normed_obj_array = obj_array(len(obj_arr))
      for i, arr in enumerate(obj_arr):
          normed_obj_array[i] = norm_dist(arr)
  
      return normed_obj_array
  
imports: import numpy
  import pandas
  import seaborn
  import matplotlib.pyplot
  import warnings
  import itertools
label_desc: Use image node_id 18 for calling a global function with example usage: norm_dist_obj_arr(obj_arr) and returns: normed_obj_array