gluonts.dataset.util module#

gluonts.dataset.util.forecast_start(entry, time_axis: int = -1)[source]#
gluonts.dataset.util.period_index(entry: Dict[str, Any], freq=None) → PeriodIndex[source]#
gluonts.dataset.util.to_pandas(entry: Dict[str, Any], freq: Optional[str] = None) → Series[source]#

Transform a dictionary into a pandas.Series object, using its “start” and “target” fields.

Parameters:

  • entry – Dictionary containing the time series data.

  • freq – Frequency to use in the pandas.Series index.

Returns:

Pandas time series object.

Return type:

pandas.Series