{
  "id": "palette-vp-wisteria-sand",
  "version": "1.0.0",
  "name": "Wisteria and sand",
  "name_zh": "藤紫沙色",
  "author": "VoltPeer maintainers",
  "license": "MIT",
  "category": "style",
  "status": "community",
  "created_at": "2026-10-03",
  "updated_at": "2026-10-03",
  "series": [
    "#ADA5D1",
    "#D7C098",
    "#9EC2BF",
    "#D6A8B4",
    "#B1C4DB",
    "#C4D09E"
  ],
  "palette_kind": "categorical",
  "background": "#FFFFFF",
  "description": "Category annotations beside matrices",
  "description_zh": "相关矩阵旁的分类注释",
  "use_zh": "相关矩阵旁的分类注释",
  "use_en": "Category annotations beside matrices",
  "usage_mode": "fills",
  "cvd_level": "not_verified",
  "classic": false,
  "recommended_series_count": 6,
  "source_credit": {
    "source": "VoltPeer original / Wisteria and sand",
    "url": "https://dazi.gsarrizabalaga.xyz/palettes.html#palette-vp-wisteria-sand",
    "licence": "MIT",
    "scope": "Independently authored colour values and appearance fixture. No third-party array, figure or experimental data copied."
  },
  "tags": [
    "categorical",
    "voltpeer-original",
    "fills"
  ],
  "scientific_review": "not_claimed",
  "template_collection": "palette-library-200",
  "saturation": "soft",
  "saturation_hsv_mean": 0.223,
  "colorblind_status": "not_certified",
  "intended_background": "#FFFFFF",
  "dark_background_support": false,
  "palette_categories": [
    "categorical",
    "soft"
  ],
  "plot_code": "import matplotlib.pyplot as plt\n\n# Your x/y arrays must have checked units and conditions.\ncolours = ['#ADA5D1', '#D7C098', '#9EC2BF', '#D6A8B4', '#B1C4DB', '#C4D09E']\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
  ]
}