def pipe_vaccine(self, ds: pd.Series) -> pd.Series:
return enrich_data(ds, "vaccine",
"Moderna, Oxford/AstraZeneca, Pfizer/BioNTech")
def pipe_source(self, ds: pd.Series) -> pd.Series:
return enrich_data(ds, "source_url", self.source_url)
def pipe_location(self, ds: pd.Series) -> pd.Series:
return enrich_data(ds, "location", self.location)
def enrich_vaccine(ds: pd.Series) -> pd.Series:
return enrich_data(ds, "vaccine", "Johnson&Johnson, Moderna, Pfizer/BioNTech, Oxford/AstraZeneca")
def pipe_people_vaccinated(self, ds: pd.Series) -> pd.Series:
total_vaccinations = (ds.loc["people_vaccinated"] +
ds.loc["people_fully_vaccinated"])
return enrich_data(ds, "total_vaccinations", total_vaccinations)
def pipe_vaccine(self, ds: pd.Series) -> pd.Series:
return enrich_data(
ds,
"vaccine",
"Johnson&Johnson, Pfizer/BioNTech, Oxford/AstraZeneca, Sinovac",
)
def enrich_source(ds: pd.Series) -> pd.Series:
return enrich_data(ds, "source_url", "https://www.koronavirus.hr")
def enrich_location(ds: pd.Series) -> pd.Series:
return enrich_data(ds, "location", "Lebanon")
def enrich_source(ds: pd.Series) -> pd.Series:
return enrich_data(ds, "source_url",
"https://impact.cib.gov.lb/home/dashboard/vaccine")
def enrich_date(ds: pd.Series) -> pd.Series:
date = localdate("America/Aruba")
return enrich_data(ds, "date", date)
def format_date(ds: pd.Series) -> pd.Series:
date = localdate("Asia/Beirut")
return enrich_data(ds, "date", date)
def add_totals(ds: pd.Series) -> pd.Series:
total_vaccinations = ds["people_vaccinated"] + ds["people_fully_vaccinated"]
return enrich_data(ds, "total_vaccinations", total_vaccinations)
def enrich_vaccine(ds: pd.Series) -> pd.Series:
return enrich_data(ds, "vaccine", "Oxford/AstraZeneca, Sinovac, Sputnik V")
def enrich_location(ds: pd.Series) -> pd.Series:
return enrich_data(ds, "location", "Azerbaijan")
def enrich_vaccine(ds: pd.Series) -> pd.Series:
return enrich_data(ds, "vaccine",
"Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac")
def pipe_vaccine(self, ds: pd.Series) -> pd.Series:
return enrich_data(ds, "vaccine",
"Oxford/AstraZeneca, Sinopharm/Beijing")
def pipe_date(self, ds: pd.Series) -> pd.Series:
date = localdate("Brazil/East")
return enrich_data(ds, "date", date)
def enrich_location(ds: pd.Series) -> pd.Series:
return enrich_data(ds, "location", "San Marino")
def enrich_location(ds: pd.Series) -> pd.Series:
return enrich_data(ds, "location", "Croatia")
def enrich_vaccine(ds: pd.Series) -> pd.Series:
return enrich_data(ds, "vaccine", "Pfizer/BioNTech, Sputnik V")
def enrich_location(ds: pd.Series) -> pd.Series:
return enrich_data(ds, "location", "Jamaica")
def enrich_source(ds: pd.Series) -> pd.Series:
return enrich_data(ds, "source_url", "https://vaccinocovid.iss.sm/")
def enrich_source(ds: pd.Series, source: str) -> pd.Series:
return enrich_data(ds, "source_url", source)
def enrich_location(ds: pd.Series) -> pd.Series:
return enrich_data(ds, "location", "Bahrain")
def pipe_vaccine(self, ds: pd.Series) -> pd.Series:
return enrich_data(ds, "vaccine", "Sinopharm/Beijing")
def enrich_vaccine(ds: pd.Series) -> pd.Series:
return enrich_data(
ds,
"vaccine",
"Oxford/AstraZeneca, Pfizer/BioNTech, Sinopharm/Beijing, Sputnik V",
)
def pipe_total_vaccinations(self, ds: pd.Series) -> pd.Series:
return enrich_data(
ds, "total_vaccinations", ds.people_vaccinated +
ds.people_fully_vaccinated + ds.total_boosters)
def enrich_location(ds: pd.Series) -> pd.Series:
return enrich_data(ds, "location", "El Salvador")
def pipe_vaccine(self, ds: pd.Series) -> pd.Series:
return enrich_data(
ds, "vaccine",
"Oxford/AstraZeneca, Pfizer/BioNTech, Sinovac, Sputnik V")
def pipe_date(self, ds: pd.Series) -> pd.Series:
return enrich_data(ds, "date", localdate("Asia/Bishkek"))
