class numpy.polynomial.laguerre.Laguerre(coef, domain=[-1, 1], window=[-1, 1])[source]

A Laguerre series class.

Laguerre instances provide the standard Python numerical methods ‘+’, ‘-‘, ‘*’, ‘//’, ‘%’, ‘divmod’, ‘**’, and ‘()’ as well as the listed methods.

Parameters :

coef : array_like

Laguerre coefficients, in increasing order. For example, (1, 2, 3) implies P_0 + 2P_1 + 3P_2 where the P_i are a graded polynomial basis.

domain : (2,) array_like, optional

Domain to use. The interval [domain[0], domain[1]] is mapped to the interval [window[0], window[1]] by shifting and scaling. The default value is [-1,1].

window : (2,) array_like, optional

Window, see domain for its use. The default value is [-1,1]. .. versionadded:: 1.6.0


It is important to specify the domain in many cases, for instance in fitting data, because many of the important properties of the polynomial basis only hold in a specified interval and consequently the data must be mapped into that interval in order to benefit.


coef (N,) ndarray Laguerre coefficients, from low to high.


basis(deg[, domain, window]) Laguerre polynomial of degree deg.
cast(series[, domain, window]) Convert instance to equivalent Laguerre series.
convert([domain, kind, window]) Convert to different class and/or domain.
copy() Return a copy.
cutdeg(deg) Truncate series to the given degree.
degree() The degree of the series.
deriv([m]) Differentiate.
fit(x, y, deg[, domain, rcond, full, w, window]) Least squares fit to data.
fromroots(roots[, domain, window]) Return Laguerre instance with specified roots.
has_samecoef(other) Check if coefficients match.
has_samedomain(other) Check if domains match.
has_sametype(other) Check if types match.
has_samewindow(other) Check if windows match.
identity([domain, window]) Identity function.
integ([m, k, lbnd]) Integrate.
linspace([n, domain]) Return x,y values at equally spaced points in domain.
mapparms() Return the mapping parameters.
roots() Return list of roots.
trim([tol]) Remove small leading coefficients
truncate(size) Truncate series to length size.

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