deepof.visuals module

deepof.visuals	General plotting functions for the deepof package.
deepof.visuals.plot_arena(coordinates, ...)	Plot the arena in the given canvas.
deepof.visuals.heatmap(dframe, bodyparts[, ...])	Return a heatmap of the movement of a specific bodypart in the arena.
deepof.visuals.plot_heatmaps(coordinates, ...)	Plot heatmaps of the specified body parts (bodyparts) of the specified animal (i).
deepof.visuals.plot_gantt(coordinates, ...)	Return a scatter plot of the passed projection.
deepof.visuals.plot_enrichment(coordinates)	Violin plots per cluster per condition.
deepof.visuals.plot_transitions(coordinates, ...)	Compute and plots transition matrices for all data or per condition.
deepof.visuals.plot_stationary_entropy(...)	Compute and plots transition stationary distribution entropy per condition.
deepof.visuals.plot_normative_log_likelihood(...)	Plot a bar chart with normative log likelihoods per experimental condition, and compute statistics.
deepof.visuals.plot_embeddings(coordinates)	Return a scatter plot of the passed projection.
deepof.visuals.animate_skeleton(coordinates, ...)	Render a FuncAnimation object with embeddings and/or motion trajectories over time.
deepof.visuals.plot_cluster_detection_performance(...)	Plot either a confusion matrix or a bar chart with balanced accuracy for cluster detection cross validated models.
deepof.visuals.plot_shap_swarm_per_cluster(...)	Plot a swarm plot of the SHAP values for a given cluster.
deepof.visuals.output_cluster_video(cap, ...)	Output a video with the frames corresponding to the cluster.
deepof.visuals.output_videos_per_cluster(...)	Given a list of videos, and a list of soft counts per video, outputs a video for each cluster.
deepof.visuals.output_unsupervised_annotated_video(...)	Given a video, and soft_counts per frame, outputs a video with the frames annotated with the cluster they belong to.
deepof.visuals.export_annotated_video(...[, ...])	Export annotated videos from both supervised and unsupervised pipelines.
deepof.visuals.plot_distance_between_conditions(...)	Plot the distance between conditions across a growing time window.
deepof.visuals.tag_annotated_frames(frame, ...)	Annotate a given frame with on-screen information about the recognised patterns.
deepof.visuals.annotate_video(coordinates, ...)	Render a version of the input video with all supervised taggings in place.