polyfit2d¶
- sofia_redux.toolkit.fitting.polynomial.polyfit2d(x, y, z, kx=3, ky=3, full=False)[source]¶
Least squares polynomial fit to a surface
- Parameters:
- xarray_like of float
(shape1) x-coordinate independent interpolants
- yarray_like of float
(shape1) y-coordinate independent interpolants
- zarray_like of float
(shape1) dependent interpolant values
- kxint, optional
order of polynomial to fit in the x-direction
- kyint, optional
order of polynomial to fit in the y-direction
- fullbool, optional
If True, will solve using the full polynomial matrix. Otherwise, will use the upper-left triangle of the matrix. See
polyinterp2dfor further details. Note that if kx != ky, then the full matrix will be solved for.
- Returns:
- numpy.ndarray
(ky+1, kx+1) array of polynomial coefficients solveable by
poly2d.