class_docstr: Class to manage the configuration of the dataframe
docstr: Loads a dataframe from the config file
  
  Args:
      name (str): Name of the dataframe
  
  Returns:
      dict: Dictionary with dataframe information
docstr_tok: ["Loads","a","dataframe","from","the","config","file","Args",":","name","(","str",")",":","Name","of","the","dataframe","Returns",":","dict",":","Dictionary","with","dataframe","information"]
code: def load(self, name) -> dict:
      """
      Loads a dataframe from the config file
  
      Args:
          name (str): Name of the dataframe
  
      Returns:
          dict: Dictionary with dataframe information
      """
      file_path = find_closest("pandasai.json")
  
      with open(file_path, "r") as json_file:
          pandas_json = json.load(json_file)
          self.saved_dfs = pandas_json["saved_dfs"]
          for df_info in self.saved_dfs:
              if df_info["name"] == name:
                  return df_info
      return {}
  
file_path: pandas-ai/pandasai/helpers/df_config_manager.py
imports: import json
  import os
  import hashlib
  from pandasai.helpers.path import create_directory, find_closest, find_project_root
  from .df_info import df_type
label_desc: Use image node_id 6 for calling the DfConfigManager obj's underlying member method code with example usage: obj.load(name) and returns: dict, df_info