etna.datasets.generate_from_patterns_df

generate_from_patterns_df(periods: int, start_time: int | str | ~pandas._libs.tslibs.timestamps.Timestamp | None, patterns: ~typing.List[~typing.List[float]], freq: ~pandas._libs.tslibs.offsets.DateOffset | str | None = <Day>, add_noise=False, sigma: float = 1, random_seed: int = 1) → DataFrame

Create DataFrame from patterns.

Parameters:

• periods (int) – number of timestamps

• start_time (int | str | Timestamp | None) – start timestamp

• patterns (List[List[float]]) – list of lists with patterns to be repeated

• freq (DateOffset | str | None) –

  frequency of timestamps, possible values:

  • pandas.DateOffset object for datetime timestamp

  • pandas offset aliases for datetime timestamp

  • None for integer timestamp

• add_noise – if True we add noise to final samples

• sigma (float) – scale of added noise

• random_seed (int) – random seed

Raises:

ValueError: – Incorrect type of start_time is used according to freq

Return type:

DataFrame