src.canns.analyzer.slow_points.visualization¶

Visualization functions for fixed point analysis.

Functions¶

`plot_fixed_points_2d`(fixed_points, state_traj[, ...])	Plot fixed points and trajectories in 2D using PCA.
`plot_fixed_points_3d`(fixed_points, state_traj[, ...])	Plot fixed points and trajectories in 3D using PCA.

Module Contents¶

src.canns.analyzer.slow_points.visualization.plot_fixed_points_2d(fixed_points, state_traj, config=None, plot_batch_idx=None, plot_start_time=0)[source]¶

Plot fixed points and trajectories in 2D using PCA.

Parameters:

fixed_points (src.canns.analyzer.slow_points.fixed_points.FixedPoints) – FixedPoints object containing analysis results.
state_traj (numpy.ndarray) – State trajectories [n_batch x n_time x n_states].
config (src.canns.analyzer.plotting.config.PlotConfig | None) – Plot configuration. If None, uses default config.
plot_batch_idx (list[int] | None) – Batch indices to plot trajectories. If None, plots first 30.
plot_start_time (int) – Starting time index for trajectory plotting.

Returns:

matplotlib Figure object.

Return type:

matplotlib.figure.Figure

Example

>>> from canns.analyzer.slow_points import plot_fixed_points_2d, FixedPoints
>>> from canns.analyzer.plotting import PlotConfig
>>> config = PlotConfig(
...     title="Fixed Points Analysis",
...     figsize=(10, 8),
...     save_path="fps_2d.png"
... )
>>> fig = plot_fixed_points_2d(unique_fps, hiddens, config=config)

src.canns.analyzer.slow_points.visualization.plot_fixed_points_3d(fixed_points, state_traj, config=None, plot_batch_idx=None, plot_start_time=0)[source]¶

Plot fixed points and trajectories in 3D using PCA.