code: def display_1d_data(input_data, viz_rows=2, viz_columns=2):
      class_viz_rows = int(np.ceil(np.sqrt(input_data.shape[-1])))
  
      output_data = np.zeros(
          (class_viz_rows * viz_rows, class_viz_rows * viz_columns)
      )
  
      raise NotImplementedError
  
      return output_data
  
file_path: DeepNeuro/deepneuro/utilities/visualize.py
imports: import numpy
  import matplotlib.pyplot
  import os
  from collections import OrderedDict
  from deepneuro.utilities.conversion import save_data, read_image_files
  from deepneuro.utilities.util import replace_suffix, nifti_splitext
label_desc: Use image node_id 4 for calling a global function with example usage: display_1d_data(input_data, viz_rows, viz_columns) and returns: output_data