Visualisation¶

esnfed.viz (optional, pip install "esnfed[viz]") provides four plots, each available in three backends: plotly (the default, interactive), matplotlib, and seaborn. Every function returns the native figure object.

from esnfed import EchoStateNetwork, topologies, viz

W = topologies.small_world_reservoir(120, k=6, p=0.1, rng=0)
esn = EchoStateNetwork(1, 1, W, spectral_radius=0.9).fit(u_tr, y_tr)

viz.plot_reservoir(esn).show()                  # connectivity graph (degree-coloured)
viz.plot_spectrum(esn).show()                   # eigenvalues + unit circle + ρ
viz.plot_states(esn, u_te).show()               # reservoir activations over time
viz.plot_forecast(y_te, esn.predict(u_te), washout=100).show()

viz.save(viz.plot_spectrum(esn), "spectrum.html")   # or .png (needs kaleido)

Function	Shows
`plot_reservoir`	reservoir connectivity as a network graph
`plot_spectrum`	eigenvalues in the complex plane (echo state property)
`plot_states`	a sample of reservoir activations over time
`plot_forecast`	predicted vs. actual with NRMSE

Reservoir Spectrum States Forecast

The default Plotly backend produces fully interactive figures — see them live on the Examples page. See the API reference.