numpy.zeros_like()
  • References/Python/NumPy/Routines/Array creation routines

numpy.zeros_like(a, dtype=None, order='K', subok=True)

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Polynomial.cutdeg()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Polynomial Module

Polynomial.cutdeg(deg)

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

numpy.polynomial.legendre.leggauss(deg)

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

numpy.floor(x[, out]) = Return the floor of the input, element-wise. The floor of the scalar x is the largest

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

chararray.squeeze(axis=None) Remove single-dimensional entries from the shape of a.

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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.

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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

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numpy.polynomial.hermite.hermdiv()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Hermite Module, “Physicists’”

numpy.polynomial.hermite.hermdiv(c1, c2)

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numpy.atleast_1d()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.atleast_1d(*arys)

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numpy.isclose()
  • References/Python/NumPy/Routines/Logic functions

numpy.isclose(a, b, rtol=1e-05, atol=1e-08, equal_nan=False)

2025-01-10 15:47:30