function op• Data kinds: signal → signal
• Call: import fullseye as fs; fs.ledger.integrate_funct_1d(y) (to call the implementation directly, import funct1d; funct1d.integrate_funct_1d(y); from the registry, ops1d.get("integrate_funct_1d"))
Cumulative integral by the trapezoidal rule (HALCON `integrate_funct_1d`).
`out[i]` is the integral of *y* from x=0 to x=i in **y-units times
samples** (multiply by the physical sample spacing `dt` yourself);
`out[0]` is always 0. For smooth signals
`integrate_funct_1d(derivate_funct_1d(y)) ~= y - y[0]` to second order.
:param y: 1-D function, at least 1 sample (a single sample integrates to `[0.]`).
:returns: float64 array of the same length.
:raises ValueError: non-1-D / NaN / Inf input, or empty input.
• 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.
• poc_cold_chain_excursion — py -3.11 examples/poc_cold_chain_excursion.py
• poc_search_sweep_width — py -3.11 examples/poc_search_sweep_width.py
• signal_funct1d — py -3.11 examples/signal_funct1d.py
signal as input)create_funct_1d_array · create_funct_1d_pairs · smooth_funct_1d_gauss · smooth_funct_1d_mean · derivate_funct_1d · zero_crossings_funct_1d · local_min_max_funct_1d · abs_funct_1d
function)create_funct_1d_array · create_funct_1d_pairs · smooth_funct_1d_gauss · smooth_funct_1d_mean · derivate_funct_1d · zero_crossings_funct_1d · local_min_max_funct_1d · abs_funct_1d
*Provenance: funct1d.py — ONED 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.