def __init__(self, V, I, mask=None, **kw):
Fitter.__init__(self, V, I, **kw)
self.engine = self.magfit
self.do_var = np.array(
[1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'i')
self.yfit = np.zeros_like(self.y)
def __init__(self, V, I, mask=None, cut_at_min=False, r=1, **kw):
self.cut_at_min, self.r = cut_at_min, r
self.mask_ind = np.arange(V.size)
if mask is not None:
self.mask_ind = self.mask_ind[mask]
self.sort_ind = V[self.mask_ind].argsort()
self.ind = self.mask_ind[self.sort_ind]
self.V, self.I = V[self.ind], I[self.ind]
self.M = self.V.size
self.im = self.I.argmin()
self.Vm = Vm = self.V[0]
self.VM = VM = self.V[-1]
self.Im = Im = self.I[self.im]
self.IM = IM = median(self.I[:self.M / 2])
self.dV = dV = VM - Vm
self.dI = dI = IM - Im
self.abcd = (2. / dI, -(2. * Im / dI + 1.), 1. / dV, -Vm / dV)
Fitter.__init__(self, self.V, self.I, **kw)
def __init__(self, V, I, a, p0, **kw):
Fitter.__init__(self, V, I, args=(a, ), **kw)
self.dV = V.ptp()
self.dI = I.ptp()
self.p0 = p0
