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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numpy.polynomial.laguerre.poly2lag()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

numpy.polynomial.laguerre.poly2lag(pol)

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

numpy.polynomial.hermite_e.hermex = array([0, 1])

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Optionally Scipy-accelerated routines (numpy.dual)
  • References/Python/NumPy/Routines

Aliases for functions which may be accelerated by Scipy. Scipy can be

2025-01-10 15:47:30
numpy.polynomial.hermite.hermweight()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Hermite Module, “Physicists’”

numpy.polynomial.hermite.hermweight(x)

2025-01-10 15:47:30
HermiteE.identity()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/HermiteE Module, “Probabilists’”

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

2025-01-10 15:47:30
numpy.polynomial.legendre.legweight()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Legendre Module

numpy.polynomial.legendre.legweight(x)

2025-01-10 15:47:30
chararray.dump()
  • References/Python/NumPy/Routines/String operations/numpy.core.defchararray.chararray

chararray.dump(file) Dump a pickle of the array to the specified file. The array can be read back with

2025-01-10 15:47:30
numpy.polynomial.legendre.legval()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Legendre Module

numpy.polynomial.legendre.legval(x, c, tensor=True)

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

numpy.core.defchararray.capitalize(a)

2025-01-10 15:47:30