def ConvertYMDtoYears(value):
value = value.replace('y', '')
value = value.replace('m', '')
value = value.replace('d', '')
value = value.split(' ')
fraction_age = int(value[0])+ float(value[1])/12.0 + float(value[2])/365.0
return fraction_age
data = ScrapeTableByRowCount("https://www.statsf1.com/en/statistiques/pilote/champion/age.aspx", 4)
npX = np.array(data)
byYear = npX[np.argsort(npX[:,1])]
years = Helpers.convert_array_strings_to_ints(byYear[:,1])
ages = np.array([ConvertYMDtoYears(y) for y in byYear[:,3]])
rolling_ages = []
for i in range(0, len(ages)-5):
rpa = (ages[i] + ages[i+1] + ages[i+2] + ages[i+3] + ages[i+4]) / 5.0
rolling_ages.append(rpa)
rolling_years = years[5:]
years_smooth = np.linspace(rolling_years.min(), rolling_years.max(), 400)
age_smooth = spline(rolling_years, rolling_ages, years_smooth)
plt.plot(rolling_years, rolling_ages, marker=">")
plt.plot(years_smooth, age_smooth, 'red')
plt.xlabel('Year')
