daily_lag(location=None)

outbreak_data.daily_lag(location=None, server='api.outbreak.info')

Return the daily lag between collection and submission dates by location

Arguments:

location_id:

(Optional). If not specified, return lag globally.

return:

A pandas dataframe.

Example usage:

df = outbreak_data.daily_lag('LUX')
print(df)

Output

              Key      Values             Key      Values             Key  \
 0  date_collected  2020-02-29  date_collected  2020-02-29  date_collected
 1  date_submitted  2020-03-07  date_submitted  2020-04-02  date_submitted
 2     total_count           1     total_count           1     total_count

        Values             Key      Values             Key      Values  ...  \
 0  2020-03-05  date_collected  2020-03-06  date_collected  2020-03-07  ...
 1  2020-04-02  date_submitted  2020-04-02  date_submitted  2020-04-02  ...
 2           1     total_count           1     total_count           1  ...

               Key      Values             Key      Values             Key  \
 0  date_collected  2023-04-28  date_collected  2023-04-29  date_collected
 1  date_submitted  2023-05-10  date_submitted  2023-05-10  date_submitted
 2     total_count          20     total_count          11     total_count

        Values             Key      Values             Key      Values
 0  2023-04-30  date_collected  2023-05-01  date_collected  2023-05-02
 1  2023-05-10  date_submitted  2023-05-10  date_submitted  2023-05-10
 2           1     total_count           5     total_count           2