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):