perda.plotting.fft_plotter#

perda.plotting.fft_plotter.plot_fft_spectrum(frequencies, magnitudes, series_names, title=None, x_label='Frequency (Hz)', y_label='Magnitude', stacked=True, layout_config=LayoutConfig(width=1200, height=700, margin={'l': 70, 'r': 50, 't': 90, 'b': 70}, plot_bgcolor='white', title_x=0.5, title_xanchor='center', title_yanchor='top', grid_width_per_col=400, grid_height_per_row=350, grid_horizontal_spacing=0.08, grid_vertical_spacing=0.12, max_display_resolution=50), font_config=FontConfig(large=20, medium=14, small=10), fft_config=FFTPlotConfig(log_x=True, log_y=False, line_color='steelblue', height_single=500))[source]#

Plot one or more pre-computed FFT magnitude spectra.

Parameters:

  • frequencies (list[NDArray[float64]]) – Frequency axis arrays, one per series.

  • magnitudes (list[NDArray[float64]]) – Magnitude arrays (same length as corresponding frequencies entry), one per series.

  • series_names (list[str]) – Display labels for each series, used as subplot titles when stacked=True and legend entries when stacked=False.

  • title (str | None, optional) – Overall figure title.

  • stacked (bool, optional) – If True, render one subplot per series sharing the x-axis. If False, overlay all series on a single plot. Default is True.

  • layout_config (LayoutConfig, optional) – Figure dimensions and spacing.

  • font_config (FontConfig, optional) – Font sizes for plot elements.

  • fft_config (FFTPlotConfig, optional) – Axis scaling, trace color

  • x_label (str)

  • y_label (str)

Return type:

go.Figure

Examples

>>> freqs, mags = compute_fft(di)
>>> fig = plot_fft_spectrum([freqs], [mags], [di.label])
>>> fig.show()
On this page

This Page