A PyQT GUI application for converting InfoLease report outputs into Excel files. Handles parsing and summarizing. Learns where files are meant to be store and compiles monthly and yearly summaries.
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InfoLeaseExtract/venv/Lib/site-packages/numpy/polynomial/legendre.pyi

46 lines
1.2 KiB

from typing import Any
from numpy import ndarray, dtype, int_
from numpy.polynomial._polybase import ABCPolyBase
from numpy.polynomial.polyutils import trimcoef
__all__: list[str]
legtrim = trimcoef
def poly2leg(pol): ...
def leg2poly(c): ...
legdomain: ndarray[Any, dtype[int_]]
legzero: ndarray[Any, dtype[int_]]
legone: ndarray[Any, dtype[int_]]
legx: ndarray[Any, dtype[int_]]
def legline(off, scl): ...
def legfromroots(roots): ...
def legadd(c1, c2): ...
def legsub(c1, c2): ...
def legmulx(c): ...
def legmul(c1, c2): ...
def legdiv(c1, c2): ...
def legpow(c, pow, maxpower=...): ...
def legder(c, m=..., scl=..., axis=...): ...
def legint(c, m=..., k = ..., lbnd=..., scl=..., axis=...): ...
def legval(x, c, tensor=...): ...
def legval2d(x, y, c): ...
def leggrid2d(x, y, c): ...
def legval3d(x, y, z, c): ...
def leggrid3d(x, y, z, c): ...
def legvander(x, deg): ...
def legvander2d(x, y, deg): ...
def legvander3d(x, y, z, deg): ...
def legfit(x, y, deg, rcond=..., full=..., w=...): ...
def legcompanion(c): ...
def legroots(c): ...
def leggauss(deg): ...
def legweight(x): ...
class Legendre(ABCPolyBase):
domain: Any
window: Any
basis_name: Any