plot_series — ANNOTATE `plot` op

• Data kinds: image2d × axes × signal × signal → image2d

• Call: import annotate; annotate.plot_series(img, axes, x, y, kind='line', color='reference', width=2, marker_size=3, baseline=None, bar_width=0.7, clip=True, scheme='okabe_ito', style=None) (or opsannotate.get("plot_series"))

Usage

Draw lines, scatter or bars. Takes data coordinates (the axes decide the pixels).

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

Parameters

----------

axes : dict

:func:axes_transform の返り。

x, y : 1-D

同じ長さの系列。空は ValueError(空のグラフは「データが無い」のか

「描き忘れ」なのか区別がつかない)。

kind : {'line','scatter','bar'}

baseline : float or None

`kind='bar' の基準値。None なら ylim` の下端。

bar_width : float

棒の幅(隣り合う x 間隔に対する比 ∈ (0,1])。

clip : bool

True なら描画域の外に出る点を例外にする(黙って端に張り付く

:mod:imagedraw のクランプは、嘘の折れ線を描いてしまう)。

Raises

------

ValueError

長さ不一致 / 空 / 非有限 / 未知の kind / clip=True で範囲外。

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 `image2d` as input)

text_box · arrow · leader_line · label_points · crosshair · legend_box · color_bar · scale_bar

Same category (`plot`)

axes_transform · data_to_pixel · nice_ticks · axes_frame · grid_lines · ticks

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

plot_series — ANNOTATE plot op