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

numpy.convolve(a, v, mode='full')

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Mathematical functions with automatic domain (numpy.emath)
  • References/Python/NumPy/Routines

Note numpy.emath is a preferred alias for

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

numpy.ma.clump_masked(a)

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numpy.polynomial.laguerre.laggrid3d()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

numpy.polynomial.laguerre.laggrid3d(x, y, z, c)

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

numpy.polynomial.legendre.legadd(c1, c2)

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

classmethod Hermite.basis(deg, domain=None, window=None)

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numpy.polynomial.chebyshev.chebvander()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Chebyshev Module

numpy.polynomial.chebyshev.chebvander(x, deg)

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matrix.any()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.any(axis=None, out=None)

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

classmethod Hermite.fit(x, y, deg, domain=None, rcond=None, full=False, w=None, window=None)

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recarray.strides
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.strides Tuple of bytes to step in each dimension when traversing an array. The byte offset of element

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