scitex-bridge 0.1.2

Cross-module adapters: scitex.stats ↔ matplotlib annotations, scitex.stats ↔ vis FigureModel, scitex.plt ↔ vis — standalone module from the SciTeX ecosystem

scitex-bridge

Cross-module adapters between scitex.stats / matplotlib / vis-FigureModel, extracted from the SciTeX ecosystem as a standalone package.

Install

pip install scitex-bridge

API

import scitex_bridge as br

# Add stats results to either backend (auto-detects)
br.add_stats_from_results(target, stat_results, format_style="asterisk")

# Stats → matplotlib annotation
br.add_stat_to_axes(ax, stat_result)
br.format_stat_for_plot(stat_result, style="asterisk")
br.extract_stats_from_axes(ax)

# Stats → vis (FigureModel)
br.stat_result_to_annotation(stat_result)
br.add_stats_to_figure_model(fig_model, stat_results)
br.position_stat_annotation(fig_model, stat_result, prefer_corner="top-right")

# plt ↔ vis
br.matplotlib_to_figure_model(fig)
br.figure_model_to_matplotlib(fig_model)

# Protocols (Position duck-typing target)
from scitex_bridge import Position

Status

Standalone fork of scitex.bridge. Deps: matplotlib + scipy.

Decoupling notes:

• scitex.io.bundle.kinds._stats.Position → vendored as a tiny dataclass in _compat.py. When scitex (umbrella) is installed, the real Position is preferred so produced objects round-trip cleanly through bundle code paths.
• The optional scitex.io.bundle.kinds._plot._models imports remain inside try/except ImportError so the package works fully standalone.

The umbrella package's scitex.bridge import path is preserved via a sys.modules-alias bridge.

License

AGPL-3.0-only (see LICENSE).