把当前的图形x轴设置为对数坐标。
(12)set(gca,'xgrid','on')绘制X轴垂直网格线 set(gca,'gridlinestyle',':','linewidth',3)设置网格线线条类型和宽度 set(gca,'box','on')将图轴方框绘制出来 (13)set(gca,'xscale','linear');将X轴刻度设为线性 set(gca,'yscale','log');将Y轴刻度设为对数 (14)disp()显示一个数组,但不显...
(12)set(gca,'xgrid','on')绘制X轴垂直网格线 set(gca,'gridlinestyle',':','linewidth',3)设置网格线线条类型和宽度 set(gca,'box','on')将图轴方框绘制出来 (13)set(gca,'xscale','linear');将X轴刻度设为线性 set(gca,'yscale','log');将Y轴刻度设为对数 (14)disp()显示一个数组,但不显...
(12)set(gca,'xgrid','on')绘制X轴垂直网格线 set(gca,'gridlinestyle',':','linewidth',3)设置网格线线条类型和宽度 set(gca,'box','on')将图轴方框绘制出来 (13)set(gca,'xscale','linear');将X轴刻度设为线性 set(gca,'yscale','log');将Y轴刻度设为对数 (14)disp()显示一个数组,但不显...
but if i use set (gca,'xscale','log') command to the x scale it showing initial bin from 300-600,600-900...etc.you can see in figure 'B' my question is what about values in between 0-300 from figure 'B' , why these are not appearing how to solve it,if i want to get xsc...
(11)visible决定坐标轴是否可见(12)set(gca,xgrid,on)绘制X轴垂直网格线set(gca,gridlinestyle,:,linewidth,3)设置网格线线条类型和宽度set(gca,box,on)将图轴方框绘制出来(13)set(gca,xscale,linear);将X轴刻度设为线性set(gca,yscale,log);将Y轴刻度设为对数(14)dis 20、p()显示一个数组,但不显示其...
(gca,'xtick',X,'ytick',Y) %设置网格的显示格式,gca获取当前figure的句柄set(xlabel('Time'),'FontSize',12,'Color','r')y=ylabel('Amplitude');set(y,'FontSize',12,'Color','g')legend(h,'First','Second','Third') %添加图例title('Bessel Functions') %添加标题[y,ix]=min(y1); %...
set(gca,'gridlinestyle',':','linewidth',3)设置网格线线条类型和宽度 set(gca,'box','on')将图轴方框绘制出来 (13)set(gca,'xscale','linear');将X轴刻度设为线性 set(gca,'yscale','log');将Y轴刻度设为对数 (14)disp()显示一个数组,但不显示其数组名称 disp(' Corn Oats Hay') disp(rand...
(1) * 1.5)) ax = fig.gca(projection='3d') # This sets front view ax.azim = -90 ax.elev = 0 ax.dist = 7 # Disallowed for 3D in matplotlib 3.1.0 # ax.set_aspect('equal') # Check if correct axis were provided else: if not isinstance(ax, mp...
lw=lw)) gca().annotate(r'One component limit', xy=np.array([third_range[-1], second_upper[-1]]), xytext=np.array([0.00, 0.6]), fontproperties=font_, rotation=0, alpha=alpha, arrowprops=dict(arrowstyle="->", connectionstyle=connectionstyle, lw=lw)) ...