src.testing.shared

Module Contents

Functions

get_date_from_year_and_week(row)	Create date from year and week.
convert_weekly_to_daily(df, divide_by_7_cols)	Convert from a weekly to a daily index.
get_piecewise_linear_interpolation_for_one_day(date, params_slice)	Get a linearly interpolated share known cases for one day.
get_piecewise_linear_interpolation(params_slice)	Get a linearly interpolated share known cases series.

get_date_from_year_and_week(row)

Create date from year and week.

We take the Sunday of each week.

convert_weekly_to_daily(df, divide_by_7_cols)

Convert from a weekly to a daily index.

Each week is filled with the observation of the end of the week. Together with get_date_from_year_and_week taking the Sunday of each week, this yields the week’s values for Mon through Sun to be the values of reported for that week.

Parameters

• df (pandas.DataFrame) – DataFrame with

• divide_by_7_cols (list) – list of columns that have to be divided by 7. So for example the number of participating laboratories does not change from a weekly to daily representation of the data but the available number of tests on each day is (ignoring weekends) a seventh of the weekly capacity.

get_piecewise_linear_interpolation_for_one_day(date, params_slice)

Get a linearly interpolated share known cases for one day.

Parameters

• date (pandas.Timestamp) – Date at which the function is evaluated.

• params_slice (pandas.Series) – Series with DateIndex. The values are function values corresponding to that date.

Returns

The value of the function at that date.

Return type

float

get_piecewise_linear_interpolation(params_slice)

Get a linearly interpolated share known cases series.