def plot_FFT(self, signal, show_periods=True):
fig = ppl.figure(figsize=(5, 2.5))
ax = pl.mk_Fourier_ax(fig,
time_unit=self.time_unit_label,
show_periods=show_periods)
fft_freqs, fft_power = core.compute_fourier(signal, self.dt)
print(f"mean fourier power: {np.mean(fft_power):.2f}")
pl.Fourier_spec(ax, fft_freqs, fft_power, show_periods)
fig.tight_layout()
def __init__(self,
signal,
dt,
signal_id,
position,
time_unit,
show_T,
parent=None):
super().__init__()
self.time_unit = time_unit
self.show_T = show_T
# --- calculate Fourier spectrum ------------------
self.fft_freqs, self.fpower = core.compute_fourier(signal, dt)
# -------------------------------------------------
self.initUI(position, signal_id)