def result():
"""
Return list with dicts.
"""
res_0 = file_with_pollution("Pollution_Kharkiv.csv")
res_1 = file_with_pollution("Pollution_Dnipro.csv")
res_1 = res_1[13:]
res_2 = file_with_pollution("Pollution_Zakarpattya.csv")
res_2 = res_2[13:]
res_3 = file_with_pollution("Pollution_Lviv.csv")
res_3 = res_3[13:]
res_4 = file_with_pollution("Pollution_Khmelnytski.csv")
res_4 = res_4[1:]
res_5 = file_with_pollution("Pollution_Cherkasy.csv")
res_5 = res_5[13:]
res_6 = file_with_pollution("Pollution_Mykolaiv.csv")
res_6 = res_6[6:]
lst_with_res = [res_0, res_1, res_2, res_3, res_4, res_5, res_6]
lst_with_names = [
"Kharkiv", "Dnipro", "Zakarpattya", "Lviv", "Khmelnytski", "Cherkasy",
"Mykolaiv"
]
lst_with_obl = []
for i in range(7):
el = lst_with_res[i]
dict_with_numbers = {}
for j in el:
dict_with_numbers[int(j[0])] = convert(j[1])
dict_with_names = {}
dict_with_names[lst_with_names[i]] = dict_with_numbers
lst_with_obl.append(dict_with_names)
return lst_with_obl
def file_with_pollution(path):
"""
Open file with pollution and create a dict with number of pollution each year
"""
f = open(path, encoding='utf-8', errors='ignore')
data = f.readlines()
lst_with_data = []
for i in data:
i = i.replace('"',
' ').replace("\t",
' ').replace("\n",
" ").replace("'",
' ').split(' ')
lst_with_data.append(i)
lst_with_data = lst_with_data[241:][::2]
a = [['2017', ''], ['189,4', ''], ['107,4', ''], ['73,0', ''], ['6,8', ''],
['6,8', ''], ['...', '']]
lst_with_data = lst_with_data + a
res_lst = []
for i in range(13):
res_lst.append(lst_with_data[i * 7:i * 7 + 2])
dict_with_years = {}
for i in res_lst:
dict_with_years[int(i[0][0])] = convert(i[1][0])
return dict_with_years
def file_with_pollution(path):
"""
Open file with pollution and create a dict with number of pollution each year
"""
f = open(path, encoding='utf-8', errors='ignore')
data = f.readlines()
lst_with_data = []
for i in data:
i = i.replace('"', ' ').replace("\t", ' ').replace("\n", " ").replace("'", ' ').split(' ')
lst_with_data.append(i)
lst_with_data = lst_with_data[120:][:-7]
res_lst = []
for i in range(13):
res_lst.append(lst_with_data[i * 7: i * 7 + 2])
dict_with_years = {}
for i in res_lst:
dict_with_years[int(i[0][0])] = convert(i[1][0])
res_dict = {}
res_dict["Volyn"] = dict_with_years
return res_dict
def file_with_pollution(path):
"""
Open file with pollution and create a dict with number of pollution each year.
"""
f = open(path, encoding='utf-8', errors='ignore')
data = f.readlines()
lst_with_data = []
for i in data:
i = i.replace('"',
' ').replace("\t",
' ').replace("\n",
" ").replace("'",
' ').split(' ')
lst_with_data.append(i)
lst_with_data = lst_with_data[23:][:-1]
res_lst = []
for i in lst_with_data:
res_lst.append(i[:2])
dict_with_years = {}
for i in res_lst:
dict_with_years[int(i[0])] = convert(i[1])
res_dict = {}
res_dict["Zaporizhzha"] = dict_with_years
return res_dict
lst_with_years.append(j)
dict_2005 = dict_by_year[lst_with_years[0]]
lst_with_num = []
for l in dict_2005.keys():
lst_with_num.append(l)
for i in range(len(lst_with_res)):
my_dict = lst_with_res[i][lst_with_keys[i]]
all_percent_of_dead = []
all_cancer = []
all_heart = []
for j in lst_with_years:
dead = my_dict[j][lst_with_num[0]]
cancer = my_dict[j][lst_with_num[1]]
heart = my_dict[j][lst_with_num[2]]
total = convert(my_dict[j][lst_with_num[3]]) * 1000
percent_dead = (dead * 100) / total
percent_cancer = (cancer * 100) / total
percent_heart = (heart * 100) / total
lst_with_res[i][lst_with_keys[i]][j][lst_with_num[0]] = round(
percent_dead, 2)
lst_with_res[i][lst_with_keys[i]][j][lst_with_num[1]] = round(
percent_cancer, 2)
lst_with_res[i][lst_with_keys[i]][j][lst_with_num[2]] = round(
percent_heart, 2)
lst_with_res[i][lst_with_keys[i]][j][lst_with_num[3]] = total
all_percent_of_dead.append(round(percent_dead, 2))
all_cancer.append(round(percent_cancer, 2))
all_heart.append(round(percent_heart, 2))
mid_dead = round(sum(all_percent_of_dead) / len(all_percent_of_dead), 2)
mid_cancer = round(sum(all_cancer) / len(all_cancer), 2)