scale_y_funct_1d — ONED function op

• Data kinds: signal → signal

• Call: import fullseye as fs; fs.ledger.scale_y_funct_1d(y, mult=1.0, add=0.0) (to call the implementation directly, import funct1d; funct1d.scale_y_funct_1d(y, mult=1.0, add=0.0); from the registry, ops1d.get("scale_y_funct_1d"))

Usage

Linear map of the y-values, `mult * y + add (HALCON scale_y_funct_1d`).

The x-grid is untouched (use :func:transform_funct_1d to move x too).

:param y: 1-D function (may be empty).

:param mult: finite multiplier.

:param add: finite offset.

:raises ValueError: non-1-D / NaN / Inf input, or non-finite parameter.

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)

• signal_funct1d — py -3.11 examples/signal_funct1d.py

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

create_funct_1d_array · create_funct_1d_pairs · smooth_funct_1d_gauss · smooth_funct_1d_mean · derivate_funct_1d · integrate_funct_1d · zero_crossings_funct_1d · local_min_max_funct_1d

Same category (function)

create_funct_1d_array · create_funct_1d_pairs · smooth_funct_1d_gauss · smooth_funct_1d_mean · derivate_funct_1d · integrate_funct_1d · zero_crossings_funct_1d · local_min_max_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.