nice_ticks — ANNOTATE `plot` op

• Data kinds: none → signal (an op determined by its arguments alone — it takes no image or data input)

• Call: import annotate; annotate.nice_ticks(lo, hi, n=5, scale='linear') (or opsannotate.get("nice_ticks"))

Usage

"Round" tick values covering [lo, hi] (1/2/5 × 10^k, closed form).

> The detailed description below is the original text — the summary and the headings are translated.

端は含める(`lo や hi` がちょうど目盛りに乗るなら必ず出る)。

浮動小数の丸めで端が 1 個落ちる off-by-one を避けるため、判定には

`step*1e-9` の許容を使う。

`scale='log'` では 1/2/5 × 10^k の十進の刻みを返す(等間隔の刻みを

log 軸に置くと、目盛りが右へ行くほど潰れて読めなくなる)。

Raises

------

ValueError

lo == hi、非有限、n < 1、log で lo か hi が 0 以下。

Detailed usage guide

• figure_annotation family guide

Background guides (the physics and conventions behind this op)

• dataset_conventions — 学習データセット規約の知識 — COCO / YOLO / VOC と外観検査での落とし穴

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)

• annotate_gallery — py -3.11 examples/annotate_gallery.py

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

data_to_pixel · plot_series

Same category (`plot`)

axes_transform · data_to_pixel · axes_frame · grid_lines · ticks · plot_series

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

nice_ticks — ANNOTATE plot op