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    "Other Parameters",
    "Raises",
    "Warns",
    "Warnings",
    "Notes"
  ],
  "item_file": "build-install/usr/lib/python3.14/site-packages/scipy/stats/_morestats.py",
  "item_line": 1088,
  "item_type": "function",
  "aliases": [
    "scipy.stats.boxcox"
  ],
  "example_section_data": {
    "__type": "Section",
    "__tag": 4015,
    "children": [
      {
        "__type": "Code",
        "__tag": 4050,
        "value": "from scipy import stats\nimport matplotlib.pyplot as plt\n",
        "execution_status": "success",
        "out": ""
      },
      {
        "__type": "Text",
        "__tag": 4046,
        "value": "\nWe generate some random variates from a non-normal distribution and make a\nprobability plot for it, to show it is non-normal in the tails:\n\n"
      },
      {
        "__type": "Code",
        "__tag": 4050,
        "value": "fig = plt.figure()\nax1 = fig.add_subplot(211)\nx = stats.loggamma.rvs(5, size=500) + 5\nprob = stats.probplot(x, dist=stats.norm, plot=ax1)\n",
        "execution_status": "success",
        "out": ""
      },
      {
        "__type": "Code",
        "__tag": 4050,
        "value": "ax1.set_xlabel('')\nax1.set_title('Probplot against normal distribution')\n",
        "execution_status": "failure",
        "out": "Text(0.5, 1.0, 'Probplot against normal distribution')\n"
      },
      {
        "__type": "Text",
        "__tag": 4046,
        "value": "\nWe now use `boxcox` to transform the data so it's closest to normal:\n\n"
      },
      {
        "__type": "Code",
        "__tag": 4050,
        "value": "ax2 = fig.add_subplot(212)\nxt, _ = stats.boxcox(x)\nprob = stats.probplot(xt, dist=stats.norm, plot=ax2)\n",
        "execution_status": "success",
        "out": ""
      },
      {
        "__type": "Code",
        "__tag": 4050,
        "value": "ax2.set_title('Probplot after Box-Cox transformation')\n",
        "execution_status": "failure",
        "out": "Text(0.5, 1.0, 'Probplot after Box-Cox transformation')\n"
      },
      {
        "__type": "Text",
        "__tag": 4046,
        "value": "\n"
      },
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        "__type": "Code",
        "__tag": 4050,
        "value": "plt.show()\n",
        "execution_status": "success",
        "out": ""
      },
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        "value": {
          "__type": "RefInfo",
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          "module": "scipy",
          "version": "2.0.0.dev0+git20260907.41eeb59",
          "kind": "assets",
          "path": "fig-6ffd38496d557e6d.png"
        }
      }
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    "title": [],
    "level": 0,
    "target": null
  },
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    {
      "__type": "SeeAlsoItem",
      "__tag": 4028,
      "name": {
        "__type": "CrossRef",
        "__tag": 4002,
        "value": "boxcox_llf",
        "reference": {
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        "__tag": 4002,
        "value": "boxcox_normmax",
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          "__tag": 4022,
          "kind": "module",
          "path": "scipy.stats._morestats:boxcox_normmax"
        },
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      },
      "descriptions": [],
      "type": "func"
    },
    {
      "__type": "SeeAlsoItem",
      "__tag": 4028,
      "name": {
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        "__tag": 4002,
        "value": "boxcox_normplot",
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          "kind": "module",
          "path": "scipy.stats._morestats:boxcox_normplot"
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      },
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      "type": "func"
    },
    {
      "__type": "SeeAlsoItem",
      "__tag": 4028,
      "name": {
        "__type": "CrossRef",
        "__tag": 4002,
        "value": "probplot",
        "reference": {
          "__type": "LocalRef",
          "__tag": 4022,
          "kind": "module",
          "path": "scipy.stats._morestats:probplot"
        },
        "kind": "module"
      },
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      "type": "func"
    }
  ],
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    "__type": "SignatureNode",
    "__tag": 4029,
    "kind": "function",
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        "__type": "SigParam",
        "__tag": 4030,
        "name": "x",
        "annotation": {
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          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": {
          "__type": "Empty",
          "__tag": 4031
        }
      },
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "lmbda",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": "None"
      },
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "alpha",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": "None"
      },
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "optimizer",
        "annotation": {
          "__type": "Empty",
          "__tag": 4031
        },
        "kind": "POSITIONAL_OR_KEYWORD",
        "default": "None"
      },
      {
        "__type": "SigParam",
        "__tag": 4030,
        "name": "nan_policy",
        "annotation": {
          "__type": "Empty",
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        },
        "kind": "KEYWORD_ONLY",
        "default": "propagate"
      }
    ],
    "return_annotation": {
      "__type": "Empty",
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    "target_name": "boxcox"
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  "references": [
    "G.E.P. Box and D.R. Cox, \"An Analysis of Transformations\", Journal of the",
    "Royal Statistical Society B, 26, 211-252 (1964)."
  ],
  "qa": "scipy.stats._morestats:boxcox",
  "arbitrary": [],
  "local_refs": [
    "(min_ci",
    "alpha",
    "boxcox",
    "lmbda",
    "max_ci)",
    "maxlog",
    "nan_policy",
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    "x"
  ]
}