generate_periodic_df

generate_periodic_df(periods: int, start_time: str, scale: float = 10, period: int = 1, n_segments: int = 1, freq: str = '1D', add_noise: bool = False, sigma: float = 1, random_seed: int = 1) → pandas.core.frame.DataFrame

Create DataFrame with periodic data.

Parameters

• periods (int) – number of timestamps

• start_time (str) – start timestamp

• scale (float) – we sample data from Uniform[0, scale)

• period (int) – data frequency – x[i+period] = x[i]

• n_segments (int) – number of segments

• freq (str) – pandas frequency string for pandas.date_range() that is used to generate timestamp

• add_noise (bool) – 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