numpy.testing.assert_array_max_ulp()
  • References/Python/NumPy/Routines/Test Support

numpy.testing.assert_array_max_ulp(a, b, maxulp=1, dtype=None)

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numpy.polynomial.legendre.legfromroots()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Legendre Module

numpy.polynomial.legendre.legfromroots(roots)

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numpy.polynomial.chebyshev.chebmulx()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Chebyshev Module

numpy.polynomial.chebyshev.chebmulx(c)

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numpy.hstack()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.hstack(tup)

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

classmethod Legendre.identity(domain=None, window=None)

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

Legendre.roots()

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numpy.random.RandomState
  • References/Python/NumPy/Routines/Random sampling

class numpy.random.RandomState Container for the Mersenne Twister pseudo-random number generator.

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numpy.logaddexp2()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.logaddexp2(x1, x2[, out]) = Logarithm of the sum of exponentiations of the inputs in base-2. Calculates log2(2**x1

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Statistics
  • References/Python/NumPy/Routines

Order statistics

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

numpy.random.pareto(a, size=None) Draw samples from a Pareto II or Lomax distribution with specified shape. The

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