def plot_only():
extension = '.pkl'
folder_path = MyDanger.get_folder_path('data_compiled')
low_prob = ['1010NCDKHT-s-100', '1010DCDKHT-s-100']
high_prob = ['1009NCDKHT-b-100', '1009NCDKHT-b-05', '1010DCDKHT-b-100', '1010DCDKHT-b-05']
f_names = low_prob
success_rate = []
casualty_mission_rate = []
avg_mission_time = []
casualty_mvp = []
for f_name in f_names:
f_path = folder_path + '/' + f_name + extension
stats = bf.load_pickle_file(f_path)
# ---
stats.print_name(stats.parent_name, '--\nStats for')
stats.print_final_stats()
success_rate.append(copy.deepcopy(stats.cum_success_rate))
casualty_mission_rate.append(copy.deepcopy(stats.cum_casualty_mission_rate))
avg_mission_time.append(copy.deepcopy(stats.cum_mission_time))
casualty_mvp.append(copy.deepcopy(stats.cum_casualty_mvp_rate))
print(stats.prob_kill)
del stats
rp = RiskPlot()
for success in success_rate:
rp.add_stats(success)
rp.plot_stat()
rp.clear_list()
#
for avg_time in avg_mission_time:
rp.add_stats(avg_time)
#
rp.plot_stat()
rp.clear_list()
for casual in casualty_mission_rate:
rp.add_stats(casual)
rp.plot_stat()
rp.clear_list()
for mvp in casualty_mvp:
rp.add_stats(mvp)
rp.plot_stat()
rp.clear_list()
def analysis_exp_1010():
"""1009NCDKHT-b"""
# code for simulation folders
datename = ['1009', '1010']
probname = ['b', 's']
pername = [5, 100]
config = ['NCDKHT', 'DCDKHT']
n_runs = 1000
rp = RiskPlot()
parent_folders = list()
parent_folders.append(rp.assemble_parent_name(datename[0], config[0], probname[0]))
parent_folders.append(rp.assemble_parent_name(datename[1], config[1], probname[0]))
parent_folders.append(rp.assemble_parent_name(datename[1], config[0], probname[1]))
parent_folders.append(rp.assemble_parent_name(datename[1], config[1], probname[1]))
# NC-b
stats_nc_b = MyStats(parent_folders[0], n_runs, pername[1])
# MyStats(parent_folders[0], n_runs, pername[0])
# DC-b
stats_dc_b = MyStats(parent_folders[1], n_runs, pername[1])
# MyStats(parent_folders[1], n_runs, pername[0])
# rp.add_stats(stats_nc_b)
# rp.add_stats(stats_dc_b)
rp.plot_stat([stats_nc_b.cum_success_rate, stats_dc_b.cum_success_rate], 'Success Rate', ['NC', 'DC'])
# # NC-s
# stats_nc_s = MyStats(parent_folders[2], n_runs, pername[1])
# MyStats(parent_folders[2], n_runs, pername[0])
#
# # DC-s
# stats_dc_s = MyStats(parent_folders[3], n_runs, pername[1])
#
# rp.add_stats(stats_nc_s)
# rp.add_stats(stats_dc_s)
# rp.plot_stat()
return