def main(argv):
"""
Main function, for Q1 and Q2
:param argv: input path
:return: none
"""
data_dict = data.Data(argv[1])
statistic_functions = [statistics.mean, statistics.median]
print("Question 1:")
feature_list = [
"hospitalized_with_symptoms", "intensive_care", "total_hospitalized",
"home_insulation"
]
letters_list = ['L', 'S']
districts_for_q1 = districts.Districts(data_dict)
districts_for_q1.filter_districts(letters_list)
districts_for_q1.print_details(feature_list, statistic_functions)
print() # before question 2
print("Question 2:")
data_dict_new = data.Data(argv[1])
districts_for_q2 = districts.Districts(data_dict_new)
data.Data.get_all_districts(districts_for_q2.dataset)
print("Number of districts:",
len(districts_for_q2.dataset.all_districts_set))
color_dict = districts_for_q2.get_districts_class()
not_green_counter = 0
for key in color_dict:
if color_dict[key] == "not green":
not_green_counter += 1
print("Number of not green districts:", not_green_counter)
if not_green_counter > 10:
print("Will a lockdown be forced on whole of Italy?: Yes")
else:
print("Will a lockdown be forced on whole of Italy?: No")
def main(argv):
dataset = data.Data(argv[1])
district = districts.Districts(dataset)
district.filter_districts({'L', 'S'})
print("Question 1:")
statistic_methods = [statistics.mean, statistics.median]
for key in [
"hospitalized_with_symptoms", "intensive_care",
"total_hospitalized", "home_insulation"
]:
district.print_details([key], statistic_methods)
dataset = data.Data(argv[1])
distinct_districts = dataset.get_all_districts()
print("\nQuestion 2:")
print(f"Number of districts: {len(distinct_districts)}")
district = districts.Districts(dataset)
dict = district.get_districts_class()
print(f"Number of not green districts: {len(dict['not_green'])}")
if len(dict['not_green']) > 10:
answer = "Yes"
else:
answer = "No"
print(f"Will a lockdown be forced on whole of Italy?: {answer}")
def main(argv):
# q1
print('Question 1:')
the_data_q1 = data.Data(argv[1])
dist1 = districts.Districts(the_data_q1)
features = ['hospitalized_with_symptoms', 'intensive_care', 'total_hospitalized', 'home_insulation']
statistic_functions = [statistics.mean, statistics.median]
letters = ['S', 'L']
dist1.filter_districts(letters)
dist1.print_details(features, statistic_functions)
# q2
print('\nQuestion 2:')
the_data_q2 = data.Data(argv[1]) # dpc-covid19-ita-regioni_sample.csv"
dist2 = districts.Districts(the_data_q2)
dist2.determine_day_type()
not_green_count = 0
dist2.determine_day_type()
districts_class = dist2.get_districts_class()
for district in districts_class.keys():
if districts_class[district] == 'not green':
not_green_count += 1
total_lockdown = not_green_count > 10
print(f'Number of districts: {len(districts_class.keys())}')
print(f"Number of not green districts: {not_green_count}")
print(f"Will a lockdown be forced on whole of Italy?: {'yes' if total_lockdown else 'no'}")
def main(argv):
covid_data = data.Data(argv[1])
district_data = districts.Districts(covid_data)
district_data.filter_districts(["L", "S"])
print("Question 1:")
actions = [statistics.mean, statistics.median]
features = [
"hospitalized_with_symptoms", "intensive_care", "total_hospitalized",
"home_insulation"
]
district_data.print_details(features, actions)
def main(argv):
main_data_q1 = data.Data('dpc-covid19-ita-regioni.csv')
main_data_q2 = data.Data('dpc-covid19-ita-regioni.csv')
# Q1:
print("Question 1:")
data_q1 = districts.Districts(main_data_q1)
districts_d = ['L', 'S']
data_q1.filter_districts(districts_d)
statistics_features = [statistics.mean, statistics.median]
feature_list = [
"hospitalized_with_symptoms", "intensive_care", "total_hospitalized",
"home_insulation"
]
data_q1.print_details(feature_list, statistics_features)
# Q2:
print("")
print("Question 2:")
data_q2 = districts.Districts(main_data_q2)
data_q2.determine_day_type()
districts_class = data_q2.get_districts_class()
num_of_green_districts = 0
for key in districts_class.keys():
if districts_class[key] == "yes":
num_of_green_districts += 1
number_of_districts = len(districts_class.keys())
print("Number of districts:", end=" ")
print(number_of_districts)
print("Number of not green districts:", end=" ")
num_of_red_district = number_of_districts - num_of_green_districts
print(num_of_red_district)
print("Will a lockdown be forced on whole of Italy?:", end=" ")
if num_of_red_district > 10:
print("Yes")
else:
print("No")