RandomState.negative_binomial()
  • References/Python/NumPy/Routines/Random sampling

RandomState.negative_binomial(n, p, size=None) Draw samples from a negative binomial distribution

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Hermite.has_samecoef()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Hermite Module, “Physicists’”

Hermite.has_samecoef(other)

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numpy.random.geometric()
  • References/Python/NumPy/Routines/Random sampling

numpy.random.geometric(p, size=None) Draw samples from the geometric distribution. Bernoulli trials are experiments

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

numpy.squeeze(a, axis=None)

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numpy.finfo
  • References/Python/NumPy/Routines/Data type routines

class numpy.finfo

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numpy.ma.around
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.around = Round an array to the given number of decimals. Refer to

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

chararray.take(indices, axis=None, out=None, mode='raise') Return an array formed from the elements of

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

numpy.ma.dot(a, b, strict=False, out=None)

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HermiteE Module, “Probabilists’” (numpy.polynomial.hermite_e)
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package

New in version 1.6.0. This module provides a number of objects (mostly functions) useful for dealing with HermiteE series

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numpy.polynomial.polynomial.polyone
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Polynomial Module

numpy.polynomial.polynomial.polyone = array([1])

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