new_contents: import sys
  import os
  import pandas as pd
  
  from utils import get_driving_log_dataframe
  from utils import img_folder
  
  from shutil import copyfile
  
  directory = sys.argv[1]
  output_directory = sys.argv[2]
  
  driving_log_df = get_driving_log_dataframe(directory)
  
  
  steering = driving_log_df['steering']
  
  angle_offset = 0.25
  
  # if image_column == 'left':
  #     delta_steering = -angle_offset
  # elif image_column == 'right':
  #     delta_steering = angle_offset
  # else:
  #     delta_steering = 0
  
  def save_images(offset_sign, image_series, angles_file):
  	for i in range(len(driving_log_df)):
  		if pd.isnull(image_series[i]):
  			continue
  		delta_steering = offset_sign * angle_offset
  		image_name = image_series[i].lstrip().rstrip()
  		steering_angle = steering[i] + delta_steering
  		print('{0} -> {1}'.format(image_name, steering_angle))
  		src_path_to_image = '{0}/{1}'.format(directory, image_name)
  		dest_path_to_image = '{0}/{1}'.format(output_directory, image_name)
  		copyfile(src_path_to_image, dest_path_to_image)
  		angles_file.write('{0},{1}\n'.format(image_name, steering_angle))
  
  def copy_if_has_column(column_name, steering_sign, angles_file):
  	print(driving_log_df.columns)
  	if column_name in driving_log_df.columns:
  		image_series = driving_log_df[column_name]
  		save_images(steering_sign, image_series, angles_file)
  
  if not os.path.exists(output_directory):
  	os.makedirs(output_directory)
  
  if not os.path.exists(img_folder(output_directory)):
  	os.makedirs(img_folder(output_directory))
  
  with open('{0}/{1}'.format(output_directory, 'angles.csv'), 'a+') as angles_file:
  	copy_if_has_column('left', -1, angles_file)
  	copy_if_has_column('right', 1, angles_file)
  	copy_if_has_column('center', 0, angles_file)
subject: Add useful script for standartizing data in beta simulator and the normal one