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

numpy.sin(x[, out]) = Trigonometric sine, element-wise.

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

class numpy.polynomial.hermite_e.HermiteE(coef, domain=None, window=None)

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

HermiteE.linspace(n=100, domain=None)

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

Hermite.degree()

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numpy.piecewise()
  • References/Python/NumPy/Routines/Functional programming

numpy.piecewise(x, condlist, funclist, *args, **kw)

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numpy.fft.rfftn()
  • References/Python/NumPy/Routines/Discrete Fourier Transform

numpy.fft.rfftn(a, s=None, axes=None, norm=None)

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

numpy.polynomial.legendre.legmulx(c)

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

numpy.ma.masked_greater(x, value, copy=True)

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

numpy.ma.cumsum(self, axis=None, dtype=None, out=None) = Return the cumulative sum of the elements along the given axis. The cumulative

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

Polynomial.has_sametype(other)

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