def pipe_correct_time_series(self, df: pd.DataFrame) -> pd.DataFrame:
"""
Since 2021-04-14 Luxembourg is using J&J, therefore dose2 == people_fully_vaccinated no longer
works. As a temporary fix while they report the necessary data, we're inserting one PDF report
to avoid showing an old value for people_fully_vaccinated in dashboard that re-use our latest
totals without showing how old they are.
The publisher was contacted on 2021-O9-21 https://twitter.com/redouad/status/1439992459166158857
"""
df.loc[df.date >= "2021-04-14", "people_fully_vaccinated"] = pd.NA
df = add_latest_who_values(df, "Luxembourg",
["people_fully_vaccinated"])
return df
def pipeline(self, ds: pd.Series) -> pd.Series:
ds = ds.pipe(self.enrich_location).pipe(self.enrich_vaccine).pipe(
self.enrich_source)
df = add_latest_who_values(
ds, "Qatar", ["people_vaccinated", "people_fully_vaccinated"])
return df
def pipeline(self, ds: pd.Series) -> pd.Series:
"""Pipeline for data"""
df = ds.pipe(self.pipe_location).pipe(self.pipe_vaccine).pipe(
self.pipe_source)
df = add_latest_who_values(df, "Philippines", ["people_vaccinated"])
return df
def export(self):
data = self.read().pipe(self.pipeline)
df = pd.DataFrame(data).T
df = add_latest_who_values(df, 'Zambia', ['people_vaccinated'])
self.export_datafile(df=df, attach=True)
def pipeline(self, ds: pd.Series) -> pd.Series:
ds = ds.pipe(self.format_date).pipe(self.enrich_location).pipe(
self.enrich_vaccine).pipe(self.enrich_source)
df = add_latest_who_values(ds, "Republic of Moldova",
["people_vaccinated"])
return df