code: def filter_best_corr(correlation_dataframe):
      top_values = dict()
      for features in itertools.product(
          correlation_dataframe.index.values,
          correlation_dataframe.columns,
      ):
          val = correlation_dataframe[features[0]][features[1]]
          for f in features:
              if f not in top_values.keys():
                  top_values[f] = val
              elif val > top_values[f]:
                  top_values[f] = val
      ordered = {
          k: v
          for k, v in sorted(
              top_values.items(), key=lambda item: item[1]
          )
      }
  
file_path: sweetviz/sweetviz/graph_associations.py
imports: import math
  import numpy
  import pandas
  import matplotlib.pyplot
  from sweetviz.sv_types import FeatureType
  import sweetviz.graph
  from sweetviz.config import config
  import itertools
  import matplotlib.patches
  from textwrap import wrap
label_desc: Use image node_id 4 for calling a global function with example usage: filter_best_corr(correlation_dataframe) without return types