coreforecast.rolling
rolling_mean
x
(np.ndarray): Input array.window_size
(int): The size of the rolling window.min_samples
(int, optional): The minimum number of samples required to compute the statistic. If None, it is set to window_size
.np.ndarray
: Array with the rolling statisticrolling_std
x
(np.ndarray): Input array.window_size
(int): The size of the rolling window.min_samples
(int, optional): The minimum number of samples required to compute the statistic. If None, it is set to window_size
.np.ndarray
: Array with the rolling statisticrolling_min
x
(np.ndarray): Input array.window_size
(int): The size of the rolling window.min_samples
(int, optional): The minimum number of samples required to compute the statistic. If None, it is set to window_size
.np.ndarray
: Array with the rolling statisticrolling_max
x
(np.ndarray): Input array.window_size
(int): The size of the rolling window.min_samples
(int, optional): The minimum number of samples required to compute the statistic. If None, it is set to window_size
.np.ndarray
: Array with the rolling statisticrolling_quantile
x
(np.ndarray): Input array.q
(float): Quantile to compute.window_size
(int): The size of the rolling window.min_samples
(int, optional): The minimum number of samples required to compute the statistic. If None, it is set to window_size
.np.ndarray
: Array with rolling statisticseasonal_rolling_mean
x
(np.ndarray): Input array.season_length
(int): The length of the seasonal period.window_size
(int): The size of the rolling window.min_samples
(int, optional): The minimum number of samples required to compute the statistic. If None, it is set to window_size
.np.ndarray
: Array with the seasonal rolling statisticseasonal_rolling_std
x
(np.ndarray): Input array.season_length
(int): The length of the seasonal period.window_size
(int): The size of the rolling window.min_samples
(int, optional): The minimum number of samples required to compute the statistic. If None, it is set to window_size
.np.ndarray
: Array with the seasonal rolling statisticseasonal_rolling_min
x
(np.ndarray): Input array.season_length
(int): The length of the seasonal period.window_size
(int): The size of the rolling window.min_samples
(int, optional): The minimum number of samples required to compute the statistic. If None, it is set to window_size
.np.ndarray
: Array with the seasonal rolling statisticseasonal_rolling_max
x
(np.ndarray): Input array.season_length
(int): The length of the seasonal period.window_size
(int): The size of the rolling window.min_samples
(int, optional): The minimum number of samples required to compute the statistic. If None, it is set to window_size
.np.ndarray
: Array with the seasonal rolling statisticseasonal_rolling_quantile
x
(np.ndarray): Input array.q
(float): Quantile to compute.season_length
(int): The length of the seasonal period.window_size
(int): The size of the rolling window.min_samples
(int, optional): The minimum number of samples required to compute the statistic. If None, it is set to window_size
.np.ndarray
: Array with rolling statistic