bloc.plotting.stability_map

Shared palette and isoline machinery for carbon stability maps.

Single source of truth for the CH4 reactor-map figures (sandbox/ch4_reactor_map/plot_common.py) and the live Trajectory Dashboard (bloc.plotting.trajectory_dashboard), so the static PNG maps and the interactive dashboard draw identical isolines from the same data and share the GUI’s species palette.

Attributes

CATEGORY_COLORS
LINE_COLOR
SOLID_CARBON_ISOLINE_LEVELS_PCT

Functions

active_isoline_levels(z[, levels_pct])	Return the isoline levels actually reached by the scalar field z.
isoline_grid(x, log_tau, z, *[, grid_n, sigma, support])	Interpolate + smooth the trajectory point cloud into a contourable grid.

Module Contents

bloc.plotting.stability_map.CATEGORY_COLORS: Dict[str, str]

bloc.plotting.stability_map.LINE_COLOR = '#1a1a1a'

bloc.plotting.stability_map.SOLID_CARBON_ISOLINE_LEVELS_PCT = [10, 20, 30, 40, 50, 60, 70, 80, 90]

bloc.plotting.stability_map.active_isoline_levels(z, levels_pct=None)

Return the isoline levels actually reached by the scalar field z.

bloc.plotting.stability_map.isoline_grid(x, log_tau, z, *, grid_n=240, sigma=5.0, support=0.5)

Interpolate + smooth the trajectory point cloud into a contourable grid.

(x, log_tau, z) are per-sample trajectory states (temperature axis, log10 residence time, scalar field). A regular grid_n``² grid is linearly interpolated from the cloud, then smoothed with a NaN-aware Gaussian filter: the data and the valid-mask are smoothed separately and divided, keeping only cells with mask weight above ``support so contours do not bleed past the reachable region.

Returns (xi, yi, grid_z) with xi/yi the 1-D grid axes (yi in log10 tau), or None when no meaningful grid can be built (degenerate/collinear cloud, or interpolation produced no finite values).