Polynomials

Polynomials in NumPy can be created, manipulated, and even fitted using the convenience classes of the numpy.polynomial package, introduced in NumPy 1.4.

Prior to NumPy 1.4, numpy.poly1d was the class of choice and it is still available in order to maintain backward compatibility. However, the newer Polynomial package is more complete than numpy.poly1d and its convenience classes are better behaved in the numpy environment. Therefore numpy.polynomial is recommended for new coding.

Transition notice

The various routines in the Polynomial package all deal with series whose coefficients go from degree zero upward, which is the reverse order of the Poly1d convention. The easy way to remember this is that indexes correspond to degree, i.e., coef[i] is the coefficient of the term of degree i.

• Using the Convenience Classes
• Power Series (numpy.polynomial.polynomial)
• Chebyshev Series (numpy.polynomial.chebyshev)
• Hermite Series, “Physicists” (numpy.polynomial.hermite)
• HermiteE Series, “Probabilists” (numpy.polynomial.hermite_e)
• Laguerre Series (numpy.polynomial.laguerre)
• Legendre Series (numpy.polynomial.legendre)
• Polyutils

• Poly1d
  • Basics
  • Fitting
  • Calculus
  • Arithmetic
  • Warnings

numpy.pad Using the Convenience Classes