def analyze_data(time_interval=TimeInterval, refined_type=FullyPreprocessedPath): print 'time_interval: ' + str(time_interval) + ' min' print 'refined_type: ' + refined_type print '--------------------------------------------' # Refine the data and save refined_data_path = Preprocess.preprocess_data(time_interval, refined_type) # Build similarity model and save Similarity.Build.similarity_model(time_interval, refined_type) # Set data for visualization Visualization.set_data4visualization(time_interval, refined_type)
def analyze_data(time_interval=TimeInterval, refined_type=FullyPreprocessedPath): print 'time_interval: ' + str(time_interval) + ' min' print 'refined_type: ' + refined_type print '--------------------------------------------' # Draw graphs and save the figures graph_directory = Graph.Save.raw_data2graph() # Refine the data and save refined_data_path = Preprocess.refining_data(time_interval, refined_type) # Build similarity model and save Similarity.Build.similarity_model(time_interval, refined_type) # Set data for visualization Visualization.set_data4visualization(time_interval, refined_type)