create_timeseries_dataset

openstef_core.testing.create_timeseries_dataset(index: DatetimeIndex, available_ats: Series | list[datetime] | DatetimeIndex | None = None, horizons: Series | list[timedelta] | None = None, sample_interval: timedelta = timedelta(hours=1), *, check_frequency: bool = False, **kwargs: Series | list[Any] | DatetimeIndex) → TimeSeriesDataset

Create a TimeSeriesDataset for testing purposes.

Parameters:

• index (DatetimeIndex) – Datetime index for the dataset.

• available_ats (Series | list[datetime] | DatetimeIndex | None) – Optional available_at timestamps for each data point.

• horizons (Series | list[timedelta] | None) – Optional forecast horizons for each data point.

• sample_interval (timedelta) – Time interval between consecutive samples.

• **kwargs (Series | list[Any] | DatetimeIndex) – Additional columns to include in the dataset.

• check_frequency (bool) – Whether to check the frequency of the datetime index.

• index

• available_ats

• horizons

• sample_interval

• check_frequency

• kwargs (Series | list[Any] | DatetimeIndex)

Returns:

TimeSeriesDataset with the specified structure.

Return type:

TimeSeriesDataset