pypomp.Pomp.plot_simulations

Pomp.plot_simulations(key: Array, nsim: int = 20, mode: str = 'lines', theta: PompParameters | None = None, show: bool = True) → Any

Plot simulated trajectories alongside the observed data.

Generates an interactive Plotly figure overlaying nsim simulated observation trajectories on the actual ys data, helping to assess qualitative goodness-of-fit.

Parameters:

  • key (jax.Array) – JAX random key for simulation.

  • nsim (int, optional) – Number of simulation replicates. Defaults to 20.

  • mode (str, optional) – Plot mode: "lines" shows individual trajectories; "quantiles" shows a shaded quantile band. Defaults to "lines".

  • theta (PompParameters or None, optional) – Parameter set to simulate from. Defaults to the first replicate of theta.

  • show (bool, optional) – Whether to call fig.show() before returning. Defaults to True.

Returns:

The Plotly figure object.

Return type:

plotly.graph_objects.Figure or None