numpy.polynomial.laguerre.laggrid3d()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

numpy.polynomial.laguerre.laggrid3d(x, y, z, c)

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

numpy.polynomial.legendre.legadd(c1, c2)

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

classmethod Hermite.basis(deg, domain=None, window=None)

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

numpy.polynomial.chebyshev.chebvander(x, deg)

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

numpy.ma.mr_ = Translate slice objects to concatenation along the first axis. This is the masked array version of lib

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

numpy.nper(rate, pmt, pv, fv=0, when='end')

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

classmethod Hermite.fit(x, y, deg, domain=None, rcond=None, full=False, w=None, window=None)

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

RandomState.random_sample(size=None) Return random floats in the half-open interval [0.0, 1.0). Results

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

RandomState.hypergeometric(ngood, nbad, nsample, size=None) Draw samples from a Hypergeometric distribution

2025-01-10 15:47:30
numpy.trim_zeros()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.trim_zeros(filt, trim='fb')

2025-01-10 15:47:30