HARKinterpolation.py 文件源码

def _derX(self,x,y):
        '''
        Returns the first derivative of the function with respect to X at each
        value in (x,y).  Only called internally by HARKinterpolator2D._derX.
        '''
        m = len(x)
        temp = np.zeros((m,self.funcCount))
        for j in range(self.funcCount):
            temp[:,j] = self.functions[j](x,y)
        temp[np.isnan(temp)] = np.inf
        i = np.argmin(temp,axis=1)
        dfdx = np.zeros_like(x)
        for j in range(self.funcCount):
            c = i == j
            dfdx[c] = self.functions[j].derivativeX(x[c],y[c])
        return dfdx