stressmodels.py 文件源码

def simulate(self, p=None, tindex=None, dt=1):
        h = pd.Series(data=0, index=self.stress[0].index, name=self.name)
        for i in self.stress:
            self.npoints = self.stress.index.size
            b = self.rfunc.block(p, self.r[i])  # nparam-1 depending on rfunc
            h += fftconvolve(self.stress[i], b, 'full')[:self.npoints]
        if tindex is not None:
            h = h[tindex]
        return h