code: def column_of_time(path, start, end=-1):
      
      df = pd.read_csv(path, delimiter='\t')
      start_time = pd.to_numeric(df.iloc[start, 0])*u.day
      day_times = pd.to_numeric(df.iloc[start:end, 0])
      time_data = np.subtract((np.array(day_times)*u.day), start_time)
      return time_data
docs: This function extracts the column of times from a ProCoDA data file.
  
      :param path: The file path of the ProCoDA data file. If the file is in the working directory, then the file name is sufficient.
      :type path: string
      :param start: Index of first row of data to extract from the data file
      :type start: int
      :param end: Index of last row of data to extract from the data. Defaults to last row
      :type end: int
  
      :return: Experimental times starting at 0 day with units of days.
      :rtype: numpy.array
  
      :Examples:
  
      .. code-block:: python
  
          time = column_of_time("Reactor_data.txt", 0)