code: def sign_contributions(dataframe, positive=True):
      """
      Returns Boolean values depending on
      the signs of local contributions
      stored in df and on the positive parameter.
  
      Parameters
      ----------
      df : pandas.DataFrame
          Local contributions of the model.
      positive : boolean (default=True)
          True to evaluate positive value.
          False to evaluate negative value.
  
      Returns
      -------
      pandas.DataFrame
          Dataframe with boolean value.
      """
      if positive:
          return dataframe >= 0
      else:
          return dataframe < 0
  
file_path: shapash/shapash/manipulation/filters.py
imports: import numpy
  import pandas
label_desc: Use image node_id 3 for calling a global function with example usage: sign_contributions(dataframe, positive) and returns: unknown, unknown