discontinuum.utils

Data preprocessing utilities.

Functions

aggregate_to_daily(ds)	Aggregate data to daily values.
time_substitution(ds, interval)	Create a counterfactual by substituting data from an interval.

discontinuum.utils.aggregate_to_daily(ds: Dataset) → Dataset

Aggregate data to daily values.

Parameters:

ds (Dataset) – Data to aggregate.

Returns:

Daily aggregated data.

Return type:

Dataset

discontinuum.utils.time_substitution(ds: Dataset, interval: slice) → Dataset

Create a counterfactual by substituting data from an interval.

Takes the data interval and repreats it to fill the whole dataset. For the dataset [1, 2, 3, 4, 5], substitution(ds, slice(0, 0)) returns [1, 1, 1, 1, 1].

Parameters:

• ds (Dataset) – Data to substitute.

• interval (slice) – Interval to substitute.

Returns:

Data with substituted data.

Return type:

Dataset