def plot_clusters(self, cluster_dictionary: dict, signal_dictionary: dict, use_j1979_tags: bool, vehicle_number: str): plot_signals_by_cluster(a_timer=a_timer, cluster_dict=cluster_dictionary, signal_dict=signal_dictionary, use_j1979_tags=use_j1979_tags, vehicle_number=vehicle_number, force=force_cluster_plotting)
def plot_clusters(self, cluster_dictionary: dict, signal_dictionary: dict, use_j1979_tags: bool, vehicle_number: str): self.make_and_move_to_vehicle_directory() plot_signals_by_cluster(a_timer=a_timer, cluster_dict=cluster_dictionary, signal_dict=signal_dictionary, use_j1979_tags=use_j1979_tags, vehicle_number=vehicle_number, force=force_cluster_plotting) self.move_back_to_parent_directory()
pickle_clusters_filename=pickle_clusters_filename, pickle_all_signals_df_filename=pickle_all_signal_filename, csv_signals_correlation_filename=csv_all_signals_filename, signal_dict=signal_dictionary, cluster_dict=cluster_dict, correlation_threshold=min_correlation_threshold, force=force_semantic_analysis) signal_dictionary, j1979_correlations = j1979_signal_labeling( a_timer=a_timer, j1979_corr_filename=pickle_j1979_correlation, df_signals=df_full, j1979_dict=j1979_dictionary, signal_dict=signal_dictionary, correlation_threshold=min_correlation_threshold, force=force_signal_labeling) plot_signals_by_cluster(a_timer, cluster_dict, signal_dictionary, use_j1979_tags_in_plots, force_cluster_plotting) # DATA STORAGE # if dump_to_pickle: if force_pre_processing: if path.isfile(pickle_arb_id_filename): remove(pickle_arb_id_filename) if path.isfile(pickle_j1979_filename): remove(pickle_j1979_filename) if force_lexical_analysis or force_signal_labeling: if path.isfile(pickle_signal_filename): remove(pickle_signal_filename) if force_semantic_analysis: if path.isfile(pickle_subset_filename): remove(pickle_subset_filename) if path.isfile(csv_correlation_filename):