43 lines
1.3 KiB
ReStructuredText
43 lines
1.3 KiB
ReStructuredText
.. _routines.polynomial:
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Polynomials
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***********
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Polynomials in NumPy can be *created*, *manipulated*, and even *fitted* using
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the :doc:`convenience classes <routines.polynomials.classes>`
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of the `numpy.polynomial` package, introduced in NumPy 1.4.
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Prior to NumPy 1.4, `numpy.poly1d` was the class of choice and it is still
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available in order to maintain backward compatibility.
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However, the newer Polynomial package is more complete than `numpy.poly1d`
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and its convenience classes are better behaved in the numpy environment.
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Therefore :mod:`numpy.polynomial` is recommended for new coding.
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Transition notice
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-----------------
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The various routines in the Polynomial package all deal with
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series whose coefficients go from degree zero upward,
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which is the *reverse order* of the Poly1d convention.
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The easy way to remember this is that indexes
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correspond to degree, i.e., coef[i] is the coefficient of the term of
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degree i.
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.. toctree::
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:maxdepth: 1
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routines.polynomials.classes
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routines.polynomials.polynomial
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routines.polynomials.chebyshev
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routines.polynomials.hermite
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routines.polynomials.hermite_e
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routines.polynomials.laguerre
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routines.polynomials.legendre
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routines.polynomials.polyutils
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.. toctree::
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:maxdepth: 2
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routines.polynomials.poly1d
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