Chebyshev.has_samecoef()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Chebyshev Module

Chebyshev.has_samecoef(other)

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HermiteE.basis()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/HermiteE Module, “Probabilists’”

classmethod HermiteE.basis(deg, domain=None, window=None)

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RandomState.multivariate_normal()
  • References/Python/NumPy/Routines/Random sampling

RandomState.multivariate_normal(mean, cov[, size]) Draw random samples from a multivariate normal

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RandomState.standard_exponential()
  • References/Python/NumPy/Routines/Random sampling

RandomState.standard_exponential(size=None) Draw samples from the standard exponential distribution

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numpy.polynomial.hermite_e.hermegauss()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/HermiteE Module, “Probabilists’”

numpy.polynomial.hermite_e.hermegauss(deg)

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numpy.identity()
  • References/Python/NumPy/Routines/Array creation routines

numpy.identity(n, dtype=None)

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numpy.random.weibull()
  • References/Python/NumPy/Routines/Random sampling

numpy.random.weibull(a, size=None) Draw samples from a Weibull distribution. Draw samples from a 1-parameter Weibull

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numpy.ma.row_stack()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.row_stack(tup) = Stack arrays in sequence vertically (row wise). Take a sequence of arrays and stack them vertically

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numpy.polynomial.polynomial.polyadd()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Polynomial Module

numpy.polynomial.polynomial.polyadd(c1, c2)

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Polynomial.mapparms()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Polynomial Module

Polynomial.mapparms()

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