diff options
Diffstat (limited to 'numpy/polynomial/legendre.py')
| -rw-r--r-- | numpy/polynomial/legendre.py | 59 |
1 files changed, 52 insertions, 7 deletions
diff --git a/numpy/polynomial/legendre.py b/numpy/polynomial/legendre.py index 8d89c8412..a54262823 100644 --- a/numpy/polynomial/legendre.py +++ b/numpy/polynomial/legendre.py @@ -83,11 +83,12 @@ numpy.polynomial.hermite_e """ from __future__ import division, absolute_import, print_function +import warnings import numpy as np import numpy.linalg as la + from . import polyutils as pu -import warnings -from .polytemplate import polytemplate +from ._polybase import ABCPolyBase __all__ = ['legzero', 'legone', 'legx', 'legdomain', 'legline', 'legadd', 'legsub', 'legmulx', 'legmul', 'legdiv', 'legpow', 'legval', @@ -1447,10 +1448,15 @@ def legfit(x, y, deg, rcond=None, full=False, w=None): the coefficients for the data in column k of `y` are in column `k`. - [residuals, rank, singular_values, rcond] : present when `full` = True - Residuals of the least-squares fit, the effective rank of the - scaled Vandermonde matrix and its singular values, and the - specified value of `rcond`. For more details, see `linalg.lstsq`. + [residuals, rank, singular_values, rcond] : list + These values are only returned if `full` = True + + resid -- sum of squared residuals of the least squares fit + rank -- the numerical rank of the scaled Vandermonde matrix + sv -- singular values of the scaled Vandermonde matrix + rcond -- value of `rcond`. + + For more details, see `linalg.lstsq`. Warns ----- @@ -1765,4 +1771,43 @@ def legweight(x): # Legendre series class # -exec(polytemplate.substitute(name='Legendre', nick='leg', domain='[-1,1]')) +class Legendre(ABCPolyBase): + """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 + ---------- + coef : array_like + Legendre coefficients in order of increasing degree, i.e., + ``(1, 2, 3)`` gives ``1*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]. + + .. versionadded:: 1.6.0 + + """ + # Virtual Functions + _add = staticmethod(legadd) + _sub = staticmethod(legsub) + _mul = staticmethod(legmul) + _div = staticmethod(legdiv) + _pow = staticmethod(legpow) + _val = staticmethod(legval) + _int = staticmethod(legint) + _der = staticmethod(legder) + _fit = staticmethod(legfit) + _line = staticmethod(legline) + _roots = staticmethod(legroots) + _fromroots = staticmethod(legfromroots) + + # Virtual properties + nickname = 'leg' + domain = np.array(legdomain) + window = np.array(legdomain) |