Created
October 2, 2020 10:20
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import json, math | |
# Напишите ваш код ниже | |
with open("data/covid.json") as a: | |
dane = json.load(a) | |
from datetime import datetime | |
def calc_mean_sigma(data): | |
sx, sx2, n = 0.0, 0.0, 0 | |
for x in data: | |
sx += x | |
sx2 += x*x | |
n += 1 | |
return (sx / n, math.sqrt(max(sx2 / n - sx / n * sx / n, 0))) | |
def sigma_norm (country_code, value_name): | |
out= [] | |
temp= dane[country_code]['data'] | |
N = len(temp) | |
for i in range(N): | |
datestring=dane[country_code]['data'][i]['date'] | |
dt = datetime.strptime(datestring, '%Y-%m-%d') | |
x = dane[country_code]['data'][i][value_name] | |
x = float(x) | |
if dt.month==8: | |
out.append(x) | |
n = len(out) | |
mean = sum(out)/n | |
return float(calc_mean_sigma(out)[1])/mean |
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