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              "__type": "ParamRef",
              "__tag": 4071,
              "name": "y"
            },
            {
              "__type": "Text",
              "__tag": 4046,
              "value": " decreases. The p-value is the probability of an uncorrelated system producing datasets with a Spearman correlation at least as extreme as the one computed from the observed dataset."
            }
          ]
        }
      ],
      "title": [],
      "level": 0,
      "target": null
    },
    "Other Parameters": {
      "__type": "Section",
      "__tag": 4015,
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    }
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  "_ordered_sections": [
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    "Extended Summary",
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    "Methods",
    "Returns",
    "Yields",
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    "Other Parameters",
    "Raises",
    "Warns",
    "Warnings",
    "Notes"
  ],
  "item_file": "/scipy/stats/_correlation.py",
  "item_line": 246,
  "item_type": "function",
  "aliases": [
    "scipy.stats.spearmanrho"
  ],
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    "children": [
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        "value": "Univariate samples, approximate p-value.\n\n"
      },
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        "__type": "Code",
        "__tag": 4050,
        "value": "import numpy as np\nfrom scipy import stats\nx = [1, 2, 3, 4, 5]\ny = [5, 6, 7, 8, 7]\nres = stats.spearmanrho(x, y)\nres.statistic\n",
        "execution_status": "success"
      },
      {
        "__type": "Code",
        "__tag": 4050,
        "value": "res.pvalue\n",
        "execution_status": "failure"
      },
      {
        "__type": "Text",
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        "value": "\nUnivariate samples, exact p-value.\n\n"
      },
      {
        "__type": "Code",
        "__tag": 4050,
        "value": "res = stats.spearmanrho(x, y, method=stats.PermutationMethod())\nres.statistic\nres.pvalue\n",
        "execution_status": "success"
      },
      {
        "__type": "Text",
        "__tag": 4046,
        "value": "\nBatch of univariate samples, one vectorized call.\n\n"
      },
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        "__type": "Code",
        "__tag": 4050,
        "value": "rng = np.random.default_rng(98145152315484)\nx2 = rng.standard_normal((2, 100))\ny2 = rng.standard_normal((2, 100))\nres = stats.spearmanrho(x2, y2, axis=-1)\n",
        "execution_status": "success"
      },
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        "__type": "Code",
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        "value": "res.statistic\nres.pvalue\n",
        "execution_status": "failure"
      },
      {
        "__type": "Text",
        "__tag": 4046,
        "value": "\nBivariate samples using standard broadcasting rules.\n\n"
      },
      {
        "__type": "Code",
        "__tag": 4050,
        "value": "res = stats.spearmanrho(x2[np.newaxis, :], x2[:, np.newaxis], axis=-1)\n",
        "execution_status": "success"
      },
      {
        "__type": "Code",
        "__tag": 4050,
        "value": "res.statistic\nres.pvalue\n",
        "execution_status": "failure"
      }
    ],
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  },
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    ],
    "return_annotation": {
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    },
    "target_name": "spearmanrho"
  },
  "references": [
    ".. [1] Zwillinger, D. and Kokoska, S. (2000). CRC Standard",
    "   Probability and Statistics Tables and Formulae. Chapman & Hall: New",
    "   York. 2000.",
    "   Section  14.7",
    ".. [2] Kendall, M. G. and Stuart, A. (1973).",
    "   The Advanced Theory of Statistics, Volume 2: Inference and Relationship.",
    "   Griffin. 1973.",
    "   Section 31.18"
  ],
  "qa": "scipy.stats._correlation:spearmanrho",
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