{
  "id": "palette-brewer-paired",
  "version": "1.0.0",
  "name": "ColorBrewer · Paired",
  "name_zh": "ColorBrewer · Paired",
  "author": "ColorBrewer / Cynthia Brewer",
  "license": "Apache-2.0",
  "category": "style",
  "status": "community",
  "created_at": "2026-10-03",
  "updated_at": "2026-10-03",
  "series": [
    "#A6CEE3",
    "#1F78B4",
    "#B2DF8A",
    "#33A02C",
    "#FB9A99",
    "#E31A1C",
    "#FDBF6F",
    "#FF7F00",
    "#CAB2D6",
    "#6A3D9A",
    "#FFFF99",
    "#B15928"
  ],
  "palette_kind": "categorical",
  "background": "#FFFFFF",
  "description": "Separate samples or conditions; keep colour identities consistent.",
  "description_zh": "区分样品或条件；颜色身份保持一致。",
  "use_zh": "区分样品或条件；颜色身份保持一致。",
  "use_en": "Separate samples or conditions; keep colour identities consistent.",
  "usage_mode": "curves",
  "cvd_level": "not_verified",
  "cvd_evidence_url": null,
  "source_credit": {
    "source": "ColorBrewer / Cynthia Brewer",
    "url": "https://github.com/bokeh/bokeh/blob/3.5.2/src/bokeh/palettes.py",
    "licence": "Apache-2.0",
    "upstream_table": "Paired12",
    "direction": "native",
    "scope": "Licensed colour data only; VoltPeer appearance fixture and renderer are original MIT work."
  },
  "tags": [
    "categorical",
    "brewer",
    "scientific-palette"
  ],
  "classic": true,
  "scientific_review": "not_claimed",
  "template_collection": "palette-library-200",
  "recommended_series_count": 6,
  "warning": null,
  "warning_zh": null,
  "discrete": false,
  "permissions": {
    "public_display": true,
    "registry": true,
    "automated_testing": true,
    "model_training": false
  },
  "saturation": "balanced",
  "saturation_hsv_mean": 0.582,
  "colorblind_status": "not_certified",
  "intended_background": "#FFFFFF",
  "dark_background_support": false,
  "palette_categories": [
    "categorical",
    "classic"
  ],
  "plot_code": "import matplotlib.pyplot as plt\n\n# Your x/y arrays must have checked units and conditions.\ncolours = ['#A6CEE3', '#1F78B4', '#B2DF8A', '#33A02C', '#FB9A99', '#E31A1C', '#FDBF6F', '#FF7F00', '#CAB2D6', '#6A3D9A', '#FFFF99', '#B15928']\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
  ]
}