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

numpy.core.defchararray.rindex(a, sub, start=0, end=None)

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

numpy.polynomial.polynomial.polycompanion(c)

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

numpy.isnan(x[, out]) = Test element-wise for NaN and return result as a boolean array.

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

numpy.random.gamma(shape, scale=1.0, size=None) Draw samples from a Gamma distribution. Samples are drawn from a

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

numpy.core.defchararray.isnumeric(a)

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

MaskedArray.swapaxes(axis1, axis2)

2025-01-10 15:47:30
numpy.deg2rad()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.deg2rad(x[, out]) = Convert angles from degrees to radians.

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

numpy.polynomial.legendre.legweight(x)

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