{
  "id": "palette-seaborn-muted",
  "version": "1.0.0",
  "name": "Seaborn · muted",
  "name_zh": "Seaborn · muted",
  "author": "Seaborn / Michael Waskom",
  "license": "BSD-3-Clause",
  "category": "style",
  "status": "community",
  "created_at": "2026-10-03",
  "updated_at": "2026-10-03",
  "series": [
    "#4878D0",
    "#EE854A",
    "#6ACC64",
    "#D65F5F",
    "#956CB4",
    "#8C613C",
    "#DC7EC0",
    "#797979",
    "#D5BB67",
    "#82C6E2"
  ],
  "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": "Seaborn / Michael Waskom",
    "url": "https://github.com/mwaskom/seaborn/blob/v0.13.2/seaborn/palettes.py",
    "licence": "BSD-3-Clause",
    "upstream_table": "SEABORN_PALETTES.muted",
    "direction": "native",
    "scope": "Licensed colour data only; VoltPeer appearance fixture and renderer are original MIT work."
  },
  "tags": [
    "categorical",
    "seaborn",
    "scientific-palette"
  ],
  "classic": false,
  "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": 0.475,
  "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 = ['#4878D0', '#EE854A', '#6ACC64', '#D65F5F', '#956CB4', '#8C613C', '#DC7EC0', '#797979', '#D5BB67', '#82C6E2']\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
  ]
}