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

numpy.polynomial.legendre.legroots(c)

2025-01-10 15:47:30
numpy.ma.MaskType
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.MaskType

2025-01-10 15:47:30
numpy.linalg.det()
  • References/Python/NumPy/Routines/Linear algebra

numpy.linalg.det(a)

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numpy.polynomial.polynomial.polydomain
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Polynomial Module

numpy.polynomial.polynomial.polydomain = array([-1, 1])

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

numpy.polynomial.laguerre.lagroots(c)

2025-01-10 15:47:30
Random sampling (numpy.random)
  • References/Python/NumPy/Routines

Simple random data

2025-01-10 15:47:30
Mathematical functions
  • References/Python/NumPy/Routines

Trigonometric functions

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

numpy.cosh(x[, out]) = Hyperbolic cosine, element-wise. Equivalent to 1/2 * (np.exp(x) + np.exp(-x)) and np

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

numpy.polynomial.hermite_e.hermeline(off, scl)

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

HermiteE.has_samewindow(other)

2025-01-10 15:47:30