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

numpy.polynomial.legendre.legweight(x)

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

RandomState.f(dfnum, dfden, size=None) Draw samples from an F distribution. Samples are drawn from an F distribution

2025-01-10 15:47:30
numpy.divide()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.divide(x1, x2[, out]) = Divide arguments element-wise.

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

RandomState.pareto(a, size=None) Draw samples from a Pareto II or Lomax distribution with specified shape.

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

Truth value testing

2025-01-10 15:47:30
numpy.polynomial.chebyshev.chebroots()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Chebyshev Module

numpy.polynomial.chebyshev.chebroots(c)

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

numpy.ma.fromfunction(function, shape, **kwargs) = Construct an array by executing a function over each coordinate.

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

chararray.isalnum()

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

RandomState.multinomial(n, pvals, size=None) Draw samples from a multinomial distribution. The multinomial

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

numpy.polynomial.hermite.hermder(c, m=1, scl=1, axis=0)

2025-01-10 15:47:30