{
  "id": "palette-painting-van-gogh-la-berceuse",
  "version": "1.0.0",
  "name": "Vincent van Gogh · La Berceuse",
  "name_zh": "梵高 · 摇篮曲",
  "author": "VoltPeer maintainers",
  "license": "MIT",
  "category": "style",
  "status": "community",
  "created_at": "2026-10-08",
  "updated_at": "2026-10-08",
  "series": [
    "#397B6F",
    "#B36A34",
    "#897A42",
    "#A6555D",
    "#3F688D",
    "#775D82"
  ],
  "palette_kind": "categorical",
  "background": "#FFFFFF",
  "description": "Inspired by La Berceuse. Start with 2–4 groups; add markers or line styles for more groups.",
  "description_zh": "以《摇篮曲》的色彩关系为启发；先试 2–4 组，多组时配合点形或线型。",
  "use_zh": "以《摇篮曲》的色彩关系为启发；先试 2–4 组，多组时配合点形或线型。",
  "use_en": "Inspired by La Berceuse. Start with 2–4 groups; add markers or line styles for more groups.",
  "usage_mode": "curves",
  "cvd_level": "not_verified",
  "recommended_series_count": 6,
  "art_family": "van-gogh",
  "artwork": {
    "title": "La Berceuse",
    "title_zh": "摇篮曲",
    "artist": "Vincent van Gogh",
    "artist_zh": "梵高",
    "date": "1889",
    "museum": "The Met",
    "url": "https://www.metmuseum.org/art/collection/search/437984",
    "checked_at": "2026-10-08"
  },
  "source_credit": {
    "source": "VoltPeer original / Vincent van Gogh / La Berceuse",
    "url": "https://www.metmuseum.org/art/collection/search/437984",
    "licence": "MIT for original HEX values and generated plot examples; museum artwork rights are separate.",
    "scope": "Independently authored plotting colours inspired by the named work. Not exact pixel samples, pigments or an official artist palette. No museum images or texts are redistributed."
  },
  "tags": [
    "categorical",
    "voltpeer-original",
    "art",
    "paintings",
    "van-gogh",
    "梵高",
    "Vincent van Gogh",
    "摇篮曲",
    "La Berceuse",
    "The Met"
  ],
  "scientific_review": "not_claimed",
  "template_collection": "painting-palettes-32",
  "warning": "画作启发的科研配色，色号经过调整；不是原画精确取色或官方色卡，未经色觉认证。 / Painting-inspired plotting colours, adjusted for use; not exact samples or an official colour card, with no CVD certification.",
  "saturation": "balanced",
  "saturation_hsv_mean": 0.515,
  "colorblind_status": "not_certified",
  "intended_background": "#FFFFFF",
  "dark_background_support": false,
  "palette_categories": [
    "categorical"
  ],
  "plot_code": "import matplotlib.pyplot as plt\n\n# Your x/y arrays must have checked units and conditions.\ncolours = ['#397B6F', '#B36A34', '#897A42', '#A6555D', '#3F688D', '#775D82']\nfig, ax = plt.subplots()\nseries = list(series)\nif len(series) > len(colours):\n    raise ValueError('More data series than colours; select a larger categorical palette.')\nfor (name, x, y), colour in zip(series, colours):\n    ax.plot(x, y, color=colour, linestyle='-', marker=None, label=name)\nfor spine in ax.spines.values():\n    spine.set_visible(True)\nax.legend(frameon=False)\nfig.savefig('new-figure.svg')\n",
  "preview_series_indices": [
    0,
    1,
    2,
    3,
    4,
    5
  ]
}