plot_scatter()

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plot_scatter()#

liesel.goose.plot_scatter(results, params, param_indices, chain_indices=None, max_chains=5, alpha=0.2, title=None, title_spacing=0.9, style='whitegrid', color_list=None, figure_size=(9, 6), legend_position='best', save_path=None, include_warmup=False, show=True)[source]#

Produces a scatterplot of two parameters.

Parameters:

  • results (SamplingResults | dict[str, Any]) – Result object of the sampling process. Must have a method get_posterior_samples() which extracts all samples from the posterior distribution. Alternatively, you can directly supply a dictionary of samples, for example the output of SamplingResults.get_posterior_samples().

  • params (list[str]) – Names of the model parameters that are contained in the plot. Must coincide with the dictionary keys of the Position with the posterior samples.

  • param_indices (tuple[int, int]) – Indices of each model parameter that are contained in the plot. Selects e.g. beta[0] out of a beta parameter vector. If only one string is supplied as the value of params, param_indices must contain two indices. If a sequence of two strings is supplied to params, you can supply either a single integer or a tuple of two integers. A single integer will be used as the index for both parameters. If you use a tuple of two integers, the first element will be used as the index for the first parameter, and the second element will be used as the index for the second parameter.

  • chain_indices (int | Sequence[int] | None, default: None) – Indices of chains for each model subparameter that are contained in the plot. Selects e.g. chain 0 and chain 2 out of multiple chains. A single index can be specified as an integer or a sequence containing one integer. If None, all chains are included.

  • max_chains (int | None, default: 5) – Upper bound how many chains are included within each subplot/facet. Avoids overplotting. If None, all chains contained in the results input are plotted. Always starts chain selection from the lowest chain index upwards. For selecting specific chains use the argument chain_indices.

  • alpha (float, default: 0.2) – Amount of transparency; a float between 0 and 1.

  • title (str | None, default: None) – Plot title.

  • title_spacing (float, default: 0.9) – Determines the margin/whitespace between the plot title (set with fig.suptitle()) and the first row of subplots/facets. Passed to the top argument of fig.subplots_adjust().

  • style (str, default: 'whitegrid') – Passed to the style argument of sns.set_theme(). Valid options are darkgrid, whitegrid, dark, white, and ticks.

  • color_list (list[str] | None, default: None) – Determines the chain colors for all three subplots. Custom colors can be passed with a list of color strings. The length of the list must match the number of chains. If None, the default tab10 matplotlib colormap is chosen.

  • figure_size (tuple[int | float, int | float], default: (9, 6)) – Size of the entire plot grid. Passed to the figsize argument of plt.figure(). When changing the figure size consider changing the legend_position as well. Generally, a ratio of 3

  • legend_position (tuple[float, float] | str, default: 'best') – Determines the color legend position. Coordinates are relative to the upper panel within the plot grid. The first coordinate specifies the horizontal, the second coordinate the vertical position. Might require an adjustment when changing the figure_size values or the number of chains.

  • save_path (str | None, default: None) – File path where the plot is saved.

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