HARKinterpolation.py 文件源码

def _evaluate(self,x,y):
        '''
        Returns the level of the function at each value in (x,y) as the minimum
        among all of the functions.  Only called internally by
        HARKinterpolator2D.__call__.
        '''
        if _isscalar(x):
            f = np.nanmin([f(x,y) for f in self.functions])
        else:
            m = len(x)
            temp = np.zeros((m,self.funcCount))
            for j in range(self.funcCount):
                temp[:,j] = self.functions[j](x,y)
            f = np.nanmin(temp,axis=1)       
        return f