graph_edges_as_lines — CONNGRAPH view op

• Data kinds: conn_graph × points → table

• Call: import fullseye as fs; fs.ledger.graph_edges_as_lines(W: 'Any', P: 'Any', thresh: 'float' = 0.0) -> 'dict[str, np.ndarray]' (to call the implementation directly, import conngraph; conngraph.graph_edges_as_lines(W: 'Any', P: 'Any', thresh: 'float' = 0.0) -> 'dict[str, np.ndarray]'; from the registry, opsconngraph.get("graph_edges_as_lines"))

Usage

Turns the edges into a table of line segments (the exit for overlaying them on a point cloud in Studio): columns pre / post / x0 y0 z0 / x1 y1 z1 / weight.

P is the (n, 3) of graph_layout_spectral (or (n, 2), with z = 0 added). |W| > thresh edges only; the diagonal (self-loops) has length 0 and is not emitted.

Detailed usage guide

• conngraph family guide

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• (none yet)

Ops the type connects to (they accept table as input)

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Same category (view)

graph_layout_spectral · graph_adjacency_image

*Provenance: conngraph.py — CONNGRAPH operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.