PyPlanAnalysis.plots¶
Matplotlib plotting helpers for DVH/LVH curves and 2-D/3-D DLVH maps.
PyPlanAnalysis.plots¶
Matplotlib plotting helpers for DVH/LVH curves and 2-D/3-D DLVH maps.
- plot_cumulative_histogram(curves, title, xlabel='Dose [Gy(RBE)]', ylabel='Volume fraction', dpi=150)[source]¶
Plot cumulative DVH or LVH curves for multiple structures.
- Parameters:
curves (dict {structure_name: (edges, cum_volume_fraction)})
title (plot title string)
xlabel (x-axis label)
ylabel (y-axis label)
dpi (figure DPI)
- Return type:
Figure- Returns:
matplotlib Figure
- plot_dvh_comparison(curves_per_model, structure_name, dpi=150)[source]¶
Overlay DVH curves for multiple dose types on one structure.
- Parameters:
curves_per_model (dict {model_label: (edges, cum)}) –
- e.g. {“Physical”: (…), “RBE1.1”: (…),
”McNamara”: (…)}
structure_name (used in the plot title)
dpi (int)
- Return type:
Figure- Returns:
matplotlib Figure
- plot_dlvh_2d(H, dose_edges, let_edges, structure_name, dpi=150)[source]¶
2-D dose-LET volume histogram (DLVH) as a colourmap.
- Parameters:
H (2-D array (dose_bins × let_bins), volume fractions)
dose_edges (dose bin edges [Gy(RBE)])
let_edges (LET bin edges [keV/µm])
structure_name (used in title)
dpi (figure DPI)
- Return type:
Figure- Returns:
matplotlib Figure
- plot_dlvh_3d(H_pct, d_edges, l_edges, structure_name, dpi=150)[source]¶
3D surface plot of the cumulative DLVH. Z axis = volume [%], X = dose, Y = LET.