NNSOM.plots.SOMPlots.plt_boxplot

SOMPlots.plt_boxplot(x, mouse_click=False, connect_pick_event=True, **kwargs)[source]

Generates a boxplot visualization for the SOM, displaying the statistical summary of the data distribution within each neuron’s cluster.

Parameters:

  • x (array-like) – A 2D array or sequence of vectors, where each row represents the data points assigned to a single neuron.

  • mouse_click (bool, optional) – If True, enables the plot to respond to mouse clicks, allowing for interactive functionality such as querying or modifying neuron data, by default False.

  • connect_pick_event (bool, optional) – If True, connects a pick event that triggers when a neuron is clicked, by default True.

  • **kwargs (dict) – Arbitrary keyword arguments that can be passed to the event handler onpick when an interactive element is clicked. Common parameters could include data specific to the plot or visualization settings.

Returns:

  • fig (matplotlib.figure.Figure) – The Figure object containing the plot.

  • ax (matplotlib.axes.Axes) – The Axes object containing the plot elements.

  • h_axes (list) – A list of matplotlib.axes.Axes objects, each containing a boxplot for a single neuron’s data distribution.