HARKinterpolation.py 文件源码

def _evaluate(self,x):
        '''
        Returns the level of the function at each value in x as the minimum among
        all of the functions.  Only called internally by HARKinterpolator1D.__call__.
        '''
        if _isscalar(x):
            y = np.nanmin([f(x) for f in self.functions])
        else:
            m = len(x)
            fx = np.zeros((m,self.funcCount))
            for j in range(self.funcCount):
                fx[:,j] = self.functions[j](x)
            y = np.nanmin(fx,axis=1)       
        return y