numpy.polynomial.legendre.Legendre
-
class numpy.polynomial.legendre.Legendre(coef, domain=None, window=None)
[source] -
A Legendre series class.
The Legendre class provides the standard Python numerical methods ‘+’, ‘-‘, ‘*’, ‘//’, ‘%’, ‘divmod’, ‘**’, and ‘()’ as well as the attributes and methods listed in the
ABCPolyBase
documentation.- Parameters
-
-
coefarray_like
-
Legendre coefficients in order of increasing degree, i.e.,
(1, 2, 3)
gives1*P_0(x) + 2*P_1(x) + 3*P_2(x)
. -
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].New in version 1.6.0.
-
Methods
__call__
(self, arg)Call self as a function.
basis
(deg[, domain, window])Series basis polynomial of degree
deg
.cast
(series[, domain, window])Convert series to series of this class.
convert
(self[, domain, kind, window])Convert series to a different kind and/or domain and/or window.
copy
(self)Return a copy.
cutdeg
(self, deg)Truncate series to the given degree.
degree
(self)The degree of the series.
deriv
(self[, m])Differentiate.
fit
(x, y, deg[, domain, rcond, full, w, window])Least squares fit to data.
fromroots
(roots[, domain, window])Return series instance that has the specified roots.
has_samecoef
(self, other)Check if coefficients match.
has_samedomain
(self, other)Check if domains match.
has_sametype
(self, other)Check if types match.
has_samewindow
(self, other)Check if windows match.
identity
([domain, window])Identity function.
integ
(self[, m, k, lbnd])Integrate.
linspace
(self[, n, domain])Return x, y values at equally spaced points in domain.
mapparms
(self)Return the mapping parameters.
roots
(self)Return the roots of the series polynomial.
trim
(self[, tol])Remove trailing coefficients
truncate
(self, size)Truncate series to length
size
.
© 2005–2020 NumPy Developers
Licensed under the 3-clause BSD License.
https://numpy.org/doc/1.19/reference/generated/numpy.polynomial.legendre.Legendre.html