generate_from_patterns_df¶
- generate_from_patterns_df(periods: int, start_time: str, patterns: List[List[float]], freq: str = '1D', add_noise=False, sigma: float = 1, random_seed: int = 1) pandas.core.frame.DataFrame [source]¶
Create DataFrame from patterns.
- Parameters
periods (int) – number of timestamps
start_time (str) – start timestamp
patterns (List[List[float]]) – list of lists with patterns to be repeated
freq (str) – pandas frequency string for
pandas.date_range()
that is used to generate timestampadd_noise – if True we add noise to final samples
sigma (float) – scale of added noise
random_seed (int) – random seed
- Return type
pandas.core.frame.DataFrame