seas0nal1ty

#typ
#normalize changes
#power spectral distribution

#generate periodogram on all periods in global of all sizes between min and max
#output into array and extract all points which are:
  more than 1.7 stdev away from mean
scipy.signal.welch(x, fs=1.0, window='hanning', nperseg=256, noverlap=None, nfft=None, detrend='constant', return_onesided=True, scaling='density', axis=-1)
scipy.signal.periodogram(x, fs=1.0, window=None, nfft=None, detrend='constant', return_onesided=True, scaling='density', axis=-1