Using the Convenience Classes
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package

The convenience classes provided by the polynomial package are: Name Provides

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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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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.real()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.real(val)

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numpy.polynomial.polynomial.polyval2d()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Polynomial Module

numpy.polynomial.polynomial.polyval2d(x, y, c)

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

chararray.isalnum()

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numpy.issubclass_()
  • References/Python/NumPy/Routines/Data type routines

numpy.issubclass_(arg1, arg2)

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ndarray.tolist()
  • References/Python/NumPy/Routines/Input and output

ndarray.tolist() Return the array as a (possibly nested) list. Return a copy of the array data as a (nested) Python

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

numpy.linalg.eigvals(a)

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

dtype.descr Array-interface compliant full description of the data-type. The format is that required by the ?descr

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