content: import os
  import pandas as pd
  
  
  def read_synchronisation_file(experiment_root):
      filepath = os.path.join(experiment_root, "labels", "synchronisation.csv")
      return pd.read_csv(filepath)
  
  
  def convert_timestamps(experiment_root, timestamps, from_reference, to_reference):
      """
      Convert numeric timestamps (seconds for start of the video or posix timestamp) of a reference time (e.g. P3_eyetracker) to a different reference time (e.g. video time)
      
      Parameters
      ----------
      experiment_root: str
          Root of the current experiment (to find the right synchronisation matrix)
      timestamps: float or array like
          timestamps to be converted
      from_reference: str
          name of the reference of the original timestamps
      to_reference: str
          name of the reference time the timestamp has to be converted to
  
      Returns
      -------
          converted_timestamps: float or array like
              Timestamps given in to_reference time values 
      """
      synchronisation_file = read_synchronisation_file(experiment_root)
  
      offset = synchronisation_file.loc[synchronisation_file["from"] == from_reference, to_reference].values[0]
  
      converted_timestamps = timestamps + offset
  
      return converted_timestamps
  
  
  if __name__ == '__main__':
      exp_root = "/Volumes/DataDrive/igroups_recordings/igroups_experiment_8"
  
      print(convert_timestamps(exp_root, [1482326641, 1482326642], "P3_eyetracker", "video"))