poly1d.deriv()
  • References/Python/NumPy/Routines/Polynomials/Poly1d/numpy.poly1d

poly1d.deriv(m=1)

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

numpy.ma.vstack(tup) = Stack arrays in sequence vertically (row wise). Take a sequence of arrays and stack them vertically

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

RandomState.zipf(a, size=None) Draw samples from a Zipf distribution. Samples are drawn from a Zipf distribution

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

numpy.polynomial.chebyshev.chebtrim(c, tol=0)

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

numpy.ma.asanyarray(a, dtype=None)

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

numpy.ma.asarray(a, dtype=None, order=None)

2025-01-10 15:47:30
numpy.polynomial.laguerre.lagval3d()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

numpy.polynomial.laguerre.lagval3d(x, y, z, c)

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

numpy.ma.median(a, axis=None, out=None, overwrite_input=False)

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

numpy.polynomial.legendre.legpow(c, pow, maxpower=16)

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

Laguerre.has_samecoef(other)

2025-01-10 15:47:30