Appendix P — chapter4.analysis.visualization

chapter4.analysis.visualization

Provides functions to visualize the obtained results.

Functions

Name	Description
bland_altman_plot	Generates a Bland-Altman plot to visualize the agreement of the measures generated by the system and the reference method.
error_distribution	Generates a figure containing a box plot for each TUG measure and system configuration to show their distributions.

bland_altman_plot

chapter4.analysis.visualization.bland_altman_plot(system_results, man_results, system_desc, attrs, with_titles=True, limit_y_axis_to=None)

Generates a Bland-Altman plot to visualize the agreement of the measures generated by the system and the reference method.

Parameters

Name	Type	Description	Default
system_results	pandas.DataFrame	DataFrame containing the system’s generated measures.	required
man_results	pandas.DataFrame	DataFrame containing the reference measures.	required
system_desc	str	Label identifier for the system measures (e.g., C1, C2, etc.).	required
attrs	list[str]	List containing the TUG measures to include in the plot as subplots.	required
with_titles	bool	If True, include a title (i.e., measure’s name) for each subplot.	True
limit_y_axis_to	list[float] | None	If not None, the y axis of the plots will be limited to the specified interval.	None

Returns

Type	Description
plotly.Figure	Interactive Plotly figure.

error_distribution

chapter4.analysis.visualization.error_distribution(errors_df)

Generates a figure containing a box plot for each TUG measure and system configuration to show their distributions. For each distribution, indicates if it is statistically different from 0 (i.e., no error) or not showing a p-value of a statistical test below the box plot.

Parameters

Name	Type	Description	Default
errors_df	pandas.DataFrame	DataFrame containing the errors between the systema and the reference measures.	required

Returns

Type	Description
plotly.Figure	Interactive Plotly figure.