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

numpy.mod(x1, x2[, out]) = Return element-wise remainder of division. Computes the remainder complementary to the

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

Chebyshev.has_sametype(other)

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

numpy.ma.compressed(x)

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numpy.msort()
  • References/Python/NumPy/Routines/Sorting, searching, and counting

numpy.msort(a)

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

numpy.ma.expand_dims(x, axis)

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numpy.polynomial.laguerre.lagvander3d()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

numpy.polynomial.laguerre.lagvander3d(x, y, z, deg)

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Hermite.identity()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Hermite Module, “Physicists’”

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

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numpy.polynomial.hermite.hermx
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Hermite Module, “Physicists’”

numpy.polynomial.hermite.hermx = array([ 0. , 0.5])

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numpy.nanmax()
  • References/Python/NumPy/Routines/Statistics

numpy.nanmax(a, axis=None, out=None, keepdims=False)

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

numpy.random.dirichlet(alpha, size=None) Draw samples from the Dirichlet distribution. Draw size

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