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- numpy.polynomial.legendre.Legendre.fit
...numpy.polynomial.legendre) numpy.polynomial.legendre.Legendre numpy.polynomial.legendre.Legendre.fit...
- numpy.polynomial.legendre.Legendre.fit (Python method, in numpy.polynomial.legendre.Legendre.fit)
numpy.polynomial...HermiteE HermiteE series These convenience classes provide a consistent interface for creating, manipulating, and fitting data with polynomials of different bases. The convenience classes are the preferred interface for the polynomial...
- numpy.polynomial.chebyshev.chebfit
...Polynomials Chebyshev Series (numpy.polynomial.chebyshev) numpy.polynomial.chebyshev.chebfit...
- numpy.polynomial.hermite.hermfit
...Polynomials Hermite Series, “Physicists” (numpy.polynomial.hermite) numpy.polynomial.hermite.hermfit...
- numpy.polynomial.hermite_e.hermefit
...als HermiteE Series, “Probabilists” (numpy.polynomial.hermite_e) numpy.polynomial.hermite_e.hermefit...
- numpy.polynomial.laguerre.lagfit
...Polynomials Laguerre Series (numpy.polynomial.laguerre) numpy.polynomial.laguerre.lagfit...
- numpy.polynomial.legendre.Legendre.fit
...numpy.polynomial.legendre) numpy.polynomial.legendre.Legendre numpy.polynomial.legendre.Legendre.fit...
- numpy.polynomial.legendre.legfit
...Polynomials Legendre Series (numpy.polynomial.legendre) numpy.polynomial.legendre.legfit...
- numpy.polynomial.legendre.legvander
..., n), then np.dot(V, c) and legval(x, c) are the same up to roundoff. This equivalence is useful both for least squares fitting and for the evaluation of a large number of Legendre series of the same degree and sample points. Parameters:...
- numpy.polynomial.legendre.legvander2d
...dot(V, c.flat) and legval2d(x, y, c) will be the same up to roundoff. This equivalence is useful both for least squares fitting and for the evaluation of a large number of 2-D Legendre series of the same degrees and sample points. Paramete...
- numpy.polynomial.legendre.legvander3d
...(V, c.flat) and legval3d(x, y, z, c) will be the same up to roundoff. This equivalence is useful both for least squares fitting and for the evaluation of a large number of 3-D Legendre series of the same degrees and sample points. Paramete...
- numpy.polynomial.polynomial.polyfit
...Polynomials Power Series (numpy.polynomial.polynomial) numpy.polynomial.polynomial.polyfit...
- Polynomials
...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...
- Using the convenience classes
...ing formatting: >>> print(f"{p:unicode}") 1.0 + 2.0·x + 3.0·x² We will deal with the domain and window when we get to fitting, for the moment we ignore them and run through the basic algebraic and arithmetic operations. Addition and Subtr...
- numpy.polynomial.legendre.legfit (Python function, in numpy.polynomial.legendre.legfit)