def deaths(self) -> pd.DataFrame:
brazil_deaths = self.raw_deaths()
ref_data = self._reference_data.query('ISO == "BRA"')
brazil_deaths = transformations.rescale(brazil_deaths, ref_data,
'deaths_new')
brazil_deaths['ISO'] = ISO
return brazil_deaths
def cases(self) -> pd.DataFrame:
raw_cases = self.raw_cases()
cases = transformations.add_both_sexes(raw_cases)
cases = transformations.rescale(
cases, self._reference_data.query(f'ISO == "{ISO}"'), 'cases_new')
cases['ISO'] = ISO
return cases
def deaths(self) -> pd.DataFrame:
raw_deaths = self.raw_deaths()
deaths = transformations.add_both_sexes(raw_deaths)
deaths = transformations.rescale(
deaths, self._reference_data.query(f'ISO == "{ISO}"'),
'deaths_new')
deaths['ISO'] = ISO
return deaths
def deaths(self) -> pd.DataFrame:
deaths = self.raw_deaths()
deaths = transformations.ensure_contiguous(deaths)
deaths = transformations.add_both_sexes(deaths)
deaths = transformations.smooth_sample(deaths, rolling_window=5)
deaths = transformations.rescale(
deaths, self._reference_data.query('ISO == "CAN"'), 'deaths_new')
deaths['ISO'] = ISO
return deaths
def cases(self) -> pd.DataFrame:
cases = self.raw_cases()
cases = transformations.ensure_contiguous(cases)
cases = transformations.add_both_sexes(cases)
cases = transformations.smooth_sample(cases, rolling_window=5)
cases = transformations.rescale(
cases, self._reference_data.query('ISO == "CAN"'), 'cases_new')
cases['ISO'] = ISO
return cases