code: def __init__(
      self, csv_path, load=True, plot=None, use_dir_name=False
  ):
      super().__init__(plot)
      self.use_dir_name = use_dir_name
      self.full_csv_path = csv_path
      self.dir, self.filename, _ = break_file_path(csv_path)
  
      if use_dir_name:
          parent_directory_path = os.path.abspath(
              os.path.join(os.path.dirname(csv_path), "..")
          )
          if len(os.listdir(parent_directory_path)) == 1:
              # get the parent directory name (since the current directory is the timestamp directory)
              self.dir = parent_directory_path
              self.filename = basename(self.dir)
          else:
              # get the common directory for all the experiments
              self.dir = os.path.dirname(csv_path)
              self.filename = "{}/{}".format(
                  basename(parent_directory_path), basename(self.dir)
              )
  
      if load:
          self.load()
          # this helps set the correct x axis
          self.change_averaging_window(1, force=True)
  
file_path: coach/rl_coach/dashboard_components/signals_file.py
imports: import os
  from os.path import basename
  import pandas
  from pandas.errors import EmptyDataError
  from rl_coach.dashboard_components.signals_file_base import SignalsFileBase
  from rl_coach.dashboard_components.globals import x_axis_options
  from rl_coach.utils import break_file_path
label_desc: Use image node_id 1 to create a new SignalsFile object from inherited base classes: SignalsFileBase with example: obj = SignalsFile(csv_path, load, plot, use_dir_name)