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# numpy.polynomial.chebyshev.chebgauss

`numpy.polynomial.chebyshev.``chebgauss`(deg)

  Gauss-Chebyshev quadrature.

  Computes the sample points and weights for Gauss-Chebyshev quadrature. These sample points and weights will correctly integrate polynomials of degree or less over the interval with the weight function .

  Parameters : | deg : int Number of sample points and weights. It must be >= 1.
  Returns : | x : ndarray 1-D ndarray containing the sample points. y : ndarray 1-D ndarray containing the weights.

  Notes

  New in version 1.7.0.

  The results have only been tested up to degree 100, higher degrees may be problematic. For Gauss-Chebyshev there are closed form solutions for the sample points and weights. If n = deg, then

### Navigation

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- NumPy v1.7 Manual (DRAFT) »
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