code: def fill_out_missing_counts_in_other_series(
      my_counts: dict, other_counts: dict
  ):
      # IGNORING NAN FOR NOW AS IT CAUSES ISSUES [FIX]
      # to_fill_list = ["value_counts_with_nan", "value_counts_without_nan"]
      to_fill_list = ["value_counts_without_nan"]
      for to_fill in to_fill_list:
          fill_using_strings = (
              True
              if my_counts[to_fill].index.dtype.name
              in ("category", "object")
              else False
          )
          for key, value in other_counts[to_fill].items():
              if key not in my_counts[to_fill]:
                  # If categorical, must do this hack to add new value
                  if my_counts[to_fill].index.dtype.name == "category":
                      my_counts[to_fill] = my_counts[to_fill].reindex(
                          my_counts[to_fill].index.add_categories(key)
                      )
  
                  # Add empty value at new index, but make sure we are using the right index type
                  if fill_using_strings:
                      my_counts[to_fill].at[str(key)] = 0
                  else:
                      my_counts[to_fill].at[key] = 0
  
file_path: sweetviz/sweetviz/series_analyzer.py
imports: import pandas
  from sweetviz.sv_types import NumWithPercent, FeatureType, FeatureToProcess
  from sweetviz.type_detection import determine_feature_type
  import sweetviz.series_analyzer_numeric
  import sweetviz.series_analyzer_cat
  import sweetviz.series_analyzer_text
  from distutils.version import LooseVersion
label_desc: Use image node_id 2 for calling a global function with example usage: fill_out_missing_counts_in_other_series(my_counts, other_counts) without return types