MATLAB
当我们调用plot（）函数时MATLAB会自动生成一个命名为Figure1的窗体，我们想修改它的名字。如下图
在命令行中输入如下代码figure('NumberTitle', 'off', 'Name', '晓博基于BP神经网络的xor测试程序');
对于窗体中的坐标线和说明文字显示我们加入如下代码hold on %刷新窗口 plot(a(:,1),a(:,2),'r--');%绘图函数 title('四组数据仿真的预测输出分部'); xlabel('仿真次序'); %x轴ylabel('仿真的预测输出');%y轴
对于窗体中加入自已定位的文字的方法进行介绍，效果如下图
a=get(gca);x=a.XLim;%获取横坐标上下限y=a.YLim;%获取纵坐标上下限k=[0.8 0.9];%给定text相对位置x0=x(1)+k(1)*(x(2)-x(1));%获取text横坐标y0=y(1)+k(2)*(y(2)-y(1));%获取text纵坐标t=sprintf('仿真修正：+ \n期望：O');text(x0,y0,t,'fontsize',8);其中各属性的设置如下画等值线[cc hh]=contour(peaks(30),'LINESPEC','b-')clabel(cc,hh,'manual')%写文本text(5,10,'\bf math \sl math \it math \rm math \alpha','color',[0.1 0.1 0.9],'fontsize',24)%设置线宽set(gca,'linewidth',2)%写标题并设置字体的大小ti=title('Title of My Figure','color','blue')set(ti,'fontsize',24)drawnow%输出文件print -dpsc plotE.psprint -append -dpsc plotE.psprint -djpeg100 plotE.jpg%给定图窗口标题figure('Name','My Figure1')%设置使用调色板map=hsv(32);colormap(map)%设定等值线的范围caxis([-6 6])%设定colorbar的方向和位置hc=colorbar('hori');po=get(hc,'position');%set(hc,'position',[po(1) po(2)+0.14 po(3) po(4)-0.01]);%set(hc,'XLim',[0 300]);%设置绘图的缺省值set(0,'DefaultLineLineWidth',2)set(0,'DefaultAxesFontSize',18)set(0,'DefaultAxesLineWidth',2)set(0,'DefaultAxesTickLength',[0.01 0.025])set(0,'DefaultPatchLineWidth',2)set(0,'DefaultSurfaceLineWidth',2)set(0,'DefaultRectangleLineWidth',2)set(0,'DefaultLineLineWidth','remove')set(0,'DefaultAxesFontSize','remove')set(0,'DefaultAxesLineWidth','remove')set(0,'DefaultAxesTickLength','remove')set(0,'DefaultPatchLineWidth','remove')set(0,'DefaultSurfaceLineWidth','remove')set(0,'DefaultRectangleLineWidth','remove')%%set(0,'DefaultLineLineWidth','factory')%%get(0,'factory')%设置坐标轴的间隔和显示set(gca,'XTick',[0:1:25],'YTick',[0:300:6000])set(gca,'XTickLabelMode','manual')set(gca,'XTickLabel','0|||||5|||||10|||||15|||||20|||||25|')%分别设置等值线和等值线标注的间隔[cc hh]=contour(peaks(30),[-6:2:8])c(cc,hh,[-6:4:8],'fontsize',15,'color','r','rotation',0,'labelspacing',200)%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%几个实例%%%%%%给定月份名字name='JanFebMarAprMayJunJulAugSepOctNovDec'%给定每层深度depth=[5 15 25 35 45 55 65 75 85 95 110 130 155 185 220 260 305 365 450 575 755 1115 1735 2615 3645 4830]%给定经纬度x=31:1:288;y=-61:1:61;[lo la]=meshgrid(x,y);%等值线间距vt=2:2:30;vs=30:0.5:36;vc=10:5:200;%打开文件读取数据h1=fopen(['plotE' '.dat']);u=fscanf(h1,'%f',[258 123]);v=fscanf(h1,'%f',[258 123]);t=fscanf(h1,'%f',[258 123]);s=fscanf(h1,'%f',[258 123]);ccc=fscanf(h1,'%f',[258 123]);%设置流速标尺u(20,220)=0.5;%%%%%%%%figure1%%%%%%%%等值线figure;m_proj('Lambert','lon',[31 288],'lat',[-61 61]);hold on;[cc hh]=m_contour(lo,la,ccc);c(cc,hh,'fontsize',6);title('carbon concentration');m_coast('patch',[0.1 0.1 0.8])m_grid('linestyle','none','box','fancy','linewidth',2,'XaxisLocation','bottom')print -dpsc mmap.ps%%%%%%%%figure2%%%%%%%%矢量图figure;m_proj('Equidistant','lon',[31 288],'lat',[-61 61]);hold on;m_coast('patch',[0.3 0.5 0.3]);m_grid('linestyle','none','tickdir','out','linewidth',2,'XaxisLocation','top')hq=m_quiver(lo,la,u',v',2)set(hq,'color','b')m_text(240,54,'0.5 cm s^{-1}','color','r','fontsize',10)print -dpsc -append mmap.ps%%%%%%%%figure3%%%%%%%%使用高分辨率岸线figure;m_proj('Equidistant','lon',[31 288],'lat',[-61 61]);hold on;m_contour(lo,la,t)hq=m_quiver(lo,la,u,v,2)set(hq,'color','b')m_text(240,54,'50 cm s^{-1}','color','r','fontsize',10)m_coast('patch',[0.1 0.1 0.8]);m_grid('linestyle','none','tickdir','out','linewidth',2,'XaxisLocation','top')%m_gshhs_i('patch',[0.1 0.1 0.8]);%m_gshhs_h('patch',[0.1 0.1 0.6]);%m_gshhs_h('save','gumby');%m_usercoast('gumby','patch',[0.1 0.1 0.6]);print -dpsc -append mmap.ps%%%%%%%%figure4%%%%%%%%直线图figure;m_proj('Equidistant','lon',[31 288],'lat',[-61 61]);hold on;m_coast('patch',[0.1 0.1 0.8]);lo1=[180:5:270]la1=[-30:5:60]m_line(lo1,la1,'marker','.','markersize',20,'linestyle','none')m_grid('linestyle','none','tickdir','out','linewidth',2,'XaxisLocation','top','xtick',12)print -dpsc -append mmap.ps