mathGL

mathGL就是用来绘制一些统计图形的一个CPP的库， 实际上就是和gnuplot类似的一个C＋＋的库，很适合科学计算的结果分析和统计，另外还有QT，python等支持的接口，只是在编译库的时候要加上相应的option，这个库用起来很好，减少了很多工作量，其核心调用方式就是使用一个函数指针.

int mathgl_callback(mglGraph *gr)
{
	const PolarFile* instance=PolarFile::instance();
	if(instance->_data == NULL)	return 0;
	if(instance->displayValidate()==false)	return 0;

	gr->SubPlot(3,2,0);
	gr->Title("Jxx Intensity");
	gr->Box();
	gr->Dens(*(instance->_xx_norm));
	gr->Colorbar(">");
	gr->Axis(); gr->Label('y',"y",0); gr->Label('x',"x",0);

	gr->SubPlot(3,2,3);
	gr->Title("Jxx Phase/Pi");
	gr->Box();
	gr->Dens(*(instance->_xx_phas));
	gr->Colorbar(">");
//	gr->Puts(mglPoint(1.3,1.2),"unit Pi");
	gr->Axis(); gr->Label('y',"y",0); gr->Label('x',"x",0);

	gr->SubPlot(3,2,1);
	gr->Title("Jxy Intensity");
	gr->Box();
	gr->Dens(*(instance->_xy_norm));
	gr->Colorbar(">");
	gr->Axis(); gr->Label('y',"y",0); gr->Label('x',"x",0);

	gr->SubPlot(3,2,4);
	gr->Title("Jxy Phase/Pi");
	gr->Box();
	gr->Dens(*(instance->_xy_phas));
	gr->Colorbar(">");
	gr->Axis(); gr->Label('y',"y",0); gr->Label('x',"x",0);

	gr->SubPlot(3,2,2);
	gr->Title("Jyy Intensity");
	gr->Box();
	gr->Dens(*(instance->_yy_norm));
	gr->Colorbar(">");
	gr->Axis(); gr->Label('y',"y",0); gr->Label('x',"x",0);

	gr->SubPlot(3,2,5);
	gr->Title("Jyy Phase/Pi");
	gr->Box();
	gr->Dens(*(instance->_yy_phas));
	gr->Colorbar(">");
	gr->Axis(); gr->Label('y',"y",0); gr->Label('x',"x",0);
	return 0;
}

	_p_mathgl = new QMathGL(this);
	_p_mathgl->setDraw(mathgl_callback);
        _p_mathgl->update()

参考资料：

http://mathgl.sourceforge.net/