Source code for gluonts.dataset.util

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from typing import Optional

import pandas as pd

from .field_names import FieldName


[docs]def forecast_start(entry, time_axis: int = -1): return entry[FieldName.START] + entry[FieldName.TARGET].shape[time_axis]
[docs]def to_pandas(instance: dict, freq: Optional[str] = None) -> pd.Series: """ Transform a dictionary into a pandas.Series object, using its "start" and "target" fields. Parameters ---------- instance Dictionary containing the time series data. freq Frequency to use in the pandas.Series index. Returns ------- pandas.Series Pandas time series object. """ target = instance[FieldName.TARGET] start = instance[FieldName.START] if not freq: freq = start.freqstr return pd.Series( target, index=pd.period_range(start=start, periods=len(target), freq=freq), )