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

numpy.radians(x[, out]) = Convert angles from degrees to radians.

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

numpy.ma.masked_all_like(arr)

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

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

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

numpy.arctan(x[, out]) = Trigonometric inverse tangent, element-wise. The inverse of tan, so that if y = tan(x)

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

class numpy.polynomial.hermite_e.HermiteE(coef, domain=None, window=None)

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numpy.polynomial.hermite.hermgrid3d()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Hermite Module, “Physicists’”

numpy.polynomial.hermite.hermgrid3d(x, y, z, c)

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

Legendre.trim(tol=0)

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

numpy.polynomial.legendre.legmulx(c)

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dtype.shape
  • References/Python/NumPy/Routines/Data type routines/numpy.dtype

dtype.shape Shape tuple of the sub-array if this data type describes a sub-array, and () otherwise.

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

HermiteE.cutdeg(deg)

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