ACFPeriodicityDetector.detect#

static ACFPeriodicityDetector.detect(data, window_func='boxcar', detrend_func='linear', max_period_count=None)#

Find periods in the given series.

Parameters:

dataarray_like: Data to be investigated. Must be squeezable to 1-d.
window_funcfloat, str, tuple, optional, default = ‘boxcar’: Window function to apply. See scipy.signal.get_window for accepted formats of the window parameter.
detrend_func{‘constant’, ‘linear’}, optional, default = ‘linear’: The kind of detrending to apply. If None, no detrending is applied.
max_period_countint, optional, default = None: Maximum number of periods to return. If None, all detected periods are returned.

Returns:

NDArray: Array of detected periodicity lengths, sorted by strength in descending order