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.polynomial.hermite.hermdomain
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Hermite Module, “Physicists’”

numpy.polynomial.hermite.hermdomain = array([-1, 1])

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

numpy.polynomial.hermite_e.hermeadd(c1, c2)

2025-01-10 15:47:30
numpy.isposinf()
  • References/Python/NumPy/Routines/Logic functions

numpy.isposinf(x, y=None)

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Input and output
  • References/Python/NumPy/Routines

Numpy binary files (NPY, NPZ)

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

numpy.ma.make_mask_none(newshape, dtype=None)

2025-01-10 15:47:30
numpy.atleast_1d()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.atleast_1d(*arys)

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numpy.nanstd()
  • References/Python/NumPy/Routines/Statistics

numpy.nanstd(a, axis=None, dtype=None, out=None, ddof=0, keepdims=False)

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

numpy.ma.inner(a, b)

2025-01-10 15:47:30