return data
def get_metrics(data):
output_data = {}
for subid in data:
for metric in data[subid]:
if metric!="distance":
if metric not in output_data:
output_data[metric] = {}
for road_type in data[subid][metric]:
if road_type not in output_data[metric]:
output_data[metric][road_type] = []
output_data[metric][road_type].append(data[subid][metric][road_type])
return output_data
rospa_data = read_sav_files("../../sav_files/rospa-driver-reports-2014-01-07.sav")
#axaie_data = read_sav_files("../sav_files/axaie-driver-reports-2014-01-10.sav")
axaie_data,ares_scores = ut.read_sav_files_with_scores("../../sav_files/ares-reprocessed-xml-profiles-2014-01-14_subids_distance_with_scores.sav")
axaie_data = get_metrics(axaie_data)
stats = {}
road_types = rospa_data['pace'].keys()
for metric in rospa_data:
if metric not in stats:
stats[metric] = {}
for i,road_type in enumerate(road_types):
stats[metric][road_type] = get_stats(rospa_data[metric][road_type])#,label=road_type,color='c',normed=True
def get_rid_of_zeros(data):
output = {}
for metric in data:
if metric not in output:
output[metric] = {}
for road_type in data[metric]:
#stats,MAD,road_types = stats.get_stats_without_scores("../../sav_files/rospa-driver-reports-2014-01-07.sav")
if type_of_filter == "nt2012q1_ukie_201206":
filename_advanced = "../../sav_files/nt2012q1_ukie_201206_rospa_2013-09-05__for_stats.sav"
filename_group = "../../sav_files/nt2012q1_ukie_201206_axaie_2013-12-14_for_stats.sav"
else:
filename_advanced = "../../sav_files/rospa-driver-reports-2014-01-07.sav"
filename_group = "../../sav_files/nt2012q1_ukie_20130618_ares_2014-01-10_for_stats.sav"
stats,MAD,road_types = stats.get_stats_without_scores_with_group(filename_advanced,filename_group)
#ares_data,ares_scores = ut.read_sav_files_with_scores("../../sav_files/ares-reprocessed-xml-profiles-2014-01-14_subids_distance_with_scores.sav")
#ares_data,ares_scores = ut.read_sav_files_with_scores("../../sav_files/axaie_apps_2014-01-27_subids_distance_with_scores.sav")
#ares_data,ares_scores = ut.read_sav_files_with_scores("../../sav_files/axaie-driver-reports-2014-01-10_subids_distance_with_scores.sav")
#ares_data,ares_scores = ut.read_sav_files_with_scores("../../sav_files/axaie_2013-12-14_subids_distance_with_scores.sav")
ares_data,ares_scores = ut.read_sav_files_with_scores("../../sav_files/axaie-driver-reports-2014-01-10_subids_distance_with_scores.sav")
ares_comp_scores = ut.get_scores_from_dict(ares_data,stats,road_types)
arr =[]
for subid in ares_comp_scores:
arr.append(int(ares_comp_scores[subid]) )
#for subid in ares_scores:
# arr.append(int(ares_scores[subid]) )
stars = generate_histo_of_stars(arr)
print stars.keys()
y = []
star_x = []
upper = []
lower = []
