plot.py is implemented with 7 functions and 27 tests passing. This issue tracks the real-data figure generation for the methods paper. Tasks: - [ ] Install umap-learn and verify plot_state_space() uses UMAP on real data - [ ] Generate 6-panel summary figure (plot_neurosim_summary) on HCP subject - [ ] Generate cohort energy violin plot (plot_cohort_energy) for AUD results - [ ] Generate stimulation target ranking (plot_stimulation_targets) for epilepsy SOZ - [ ] Verify all figures save correctly as PNG + PDF at 300 DPI - [ ] Draft Figure 1 and Figure 2 for methods paper Tracks GSoC Weeks 11–12 deliverable.
plot.py is implemented with 7 functions and 27 tests passing. This issue
tracks the real-data figure generation for the methods paper.
Tasks:
Tracks GSoC Weeks 11–12 deliverable.