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              "value": "Normally, the Newton-Cotes rules are used on smaller integration regions and a composite rule is used to return the total integral."
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                      "value": ". N is the order of the Newton-Cotes integration."
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              "value": "-point Newton-Cotes formula for the integral between "
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              "value": "\\int_{x_0}^{x_N} f(x)dx = \\Delta x \\sum_{i=0}^{N} a_i f(x_i) + B_N (\\Delta x)^{N+2} f^{N+1} (\\xi)"
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              "value": "If the samples are equally-spaced and N is even, then the error term is "
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  "item_file": "/scipy/integrate/_quadrature.py",
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        "value": "from scipy.integrate import newton_cotes\nimport numpy as np\ndef f(x):\n    return np.sin(x)\na = 0\nb = np.pi\nexact = 2\n",
        "execution_status": "success",
        "out": ""
      },
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        "value": "for N in [2, 4, 6, 8, 10]:\n    x = np.linspace(a, b, N + 1)\n    an, B = newton_cotes(N, 1)\n    dx = (b - a) / N\n    quad = dx * np.sum(an * f(x))\n    error = abs(quad - exact)\n    print('{:2d}  {:10.9f}  {:.5e}'.format(N, quad, error))\n",
        "execution_status": "failure",
        "out": " 2  2.094395102  9.43951e-02\n 4  1.998570732  1.42927e-03\n 6  2.000017814  1.78136e-05\n 8  1.999999835  1.64725e-07\n10  2.000000001  1.14677e-09\n"
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