numpy.vdot()
  • References/Python/NumPy/Routines/Linear algebra

numpy.vdot(a, b) Return the dot product of two vectors. The vdot(a, b) function handles complex

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ndarray.itemset()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.itemset(*args) Insert scalar into an array (scalar is cast to array?s dtype, if possible) There must be

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Indexing routines
  • References/Python/NumPy/Routines

See also

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

numpy.polynomial.chebyshev.chebline(off, scl)

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

numpy.polynomial.laguerre.laggauss(deg)

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

class numpy.polynomial.laguerre.Laguerre(coef, domain=None, window=None)

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matrix.H
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.H Returns the (complex) conjugate transpose of self. Equivalent to np.transpose(self)

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

record.any() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses

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matrix.imag
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.imag The imaginary part of the array. Examples >>>

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record.copy()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.record

record.copy() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses

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