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

RandomState.geometric(p, size=None) Draw samples from the geometric distribution. Bernoulli trials

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numpy.core.defchararray.asarray()
  • References/Python/NumPy/Routines/Array creation routines

numpy.core.defchararray.asarray(obj, itemsize=None, unicode=None, order=None)

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numpy.ma.empty()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.empty(shape, dtype=float, order='C') = Return a new array of given shape and type, without initializing entries.

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

Legendre.cutdeg(deg)

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numpy.ma.arange()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.arange([start, ]stop, [step, ]dtype=None) = Return evenly spaced values within a given interval. Values are generated

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

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

2025-01-10 15:47:30
numpy.polynomial.hermite.hermval3d()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Hermite Module, “Physicists’”

numpy.polynomial.hermite.hermval3d(x, y, z, c)

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

numpy.core.defchararray.translate(a, table, deletechars=None)

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

numpy.arccosh(x[, out]) = Inverse hyperbolic cosine, element-wise.

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numpy.ma.mean()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.mean(self, axis=None, dtype=None, out=None) = Returns the average of the array elements. Masked entries are ignored

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