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

numpy.subtract(x1, x2[, out]) = Subtract arguments, element-wise.

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

numpy.polynomial.chebyshev.chebadd(c1, c2)

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numpy.npv()
  • References/Python/NumPy/Routines/Financial functions

numpy.npv(rate, values)

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

Legendre.convert(domain=None, kind=None, window=None)

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

numpy.sinc(x)

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

numpy.polynomial.hermite.hermzero = array([0])

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chararray.swapaxes()
  • References/Python/NumPy/Routines/String operations/numpy.core.defchararray.chararray

chararray.swapaxes(axis1, axis2) Return a view of the array with axis1 and axis2

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

numpy.ma.make_mask(m, copy=False, shrink=True, dtype=)

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

numpy.reciprocal(x[, out]) = Return the reciprocal of the argument, element-wise. Calculates 1/x.

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numpy.promote_types()
  • References/Python/NumPy/Routines/Data type routines

numpy.promote_types(type1, type2) Returns the data type with the smallest size and smallest scalar kind to which both type1

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