axis('off') 3. 添加双y轴:使用Axes.twinx()方法绘制:重点 代码语言:javascript 代码运行次数:0 运行 AI代码解释 #添加双y轴:使用Axes.twinx()方法绘制 second_plot = ax.twinx() second_plot.set_ylim(bottom=-3,top=43) second_plot.set_yticks(np.arange(0, 50, step=10)) second_plot.set_...
(bottom=-3,top=43) second_plot.set_yticks(np.arange(0, 50, step=10)) second_plot.set_xticks(np.arange(-.5, 8, step=.5)) second_plot.tick_params(left=False,bottom=False,labelbottom=False,labelsize=10,colors='k') second_plot.grid(color="none",zorder=0) second_plot.set_axis...
second_plot.set_xticks(np.arange(-.5, 8, step=.5)) second_plot.tick_params(left=False,bottom=False,labelbottom=False,labelsize=10,colors='k') second_plot.grid(color="none",zorder=0) second_plot.set_axisbelow(True) for spine in ['top','bottom','left','right']: second_plot.spine...
#add y-axis label ax.set_ylabel('Sales', color=col1, fontsize=16) #define second y-axis that shares x-axis with current plot ax2 = ax.twinx() #add second line to plot ax2.plot(df2.year, df2.leads, color=col2, marker='o', linewidth=3) #add second y-axis label ax2.set_...
# Plot Line2 (Right Y Axis)ax2 = ax1.twinx() # instantiate a second axes that shares the same x-axisax2.plot(x, y2, color='tab:blue')# Decorations# ax1 (left Y axis)ax1.set_xlabel('Year', fontsize=18)ax1.tick_params(axis='x', rotation=70, labelsize=12)ax1.set_ylabel...
matlab% 三维轨迹动画figure;axis equal;grid on;view(3);for t = 1:100:length(time)plot3(x(1:t), y(1:t), z(1:t), 'b-', 'LineWidth',2);hold on;scatter3(x(t), y(t), z(t), 100, 'r', 'filled');hold off;axis([-1e6 1e6 -1e6 1e6 0 2e6]);drawnow;end 4.2 ...
ax.plot(xx, np.sin(xx))# 于 offset 处新建一条纵坐标offset = (40,0) new_axisline = ax.get_grid_helper().new_fixed_axis ax.axis["新建2"] = new_axisline(loc="right", offset=offset, axes=ax) ax.axis["新建2"].label.set_text("新建纵坐标") ...
pl.plot(x, y)# use pylab to plot x and y 1 1 2 pl.title(’Plot of y vs. x’)# give plot a title 1 2 pl.xlabel(’x axis’)# make axis labels 1 2 pl.ylabel(’y axis’) 1 1 2 pl.xlim(0.0,7.0)# set axis limits ...
函数的三个输人参数:待划分的数据集(dataSet)、划分数据集的特征(axis)、特征的返回值(value)。输出是划分后的数据集(retDataSet) 小知识:python语言在函数中传递的是列表的引用 ,在函数内部对列表对象的修改, 将会影响该列表对象的整个生存周期。为了消除这个不良影响 ,我们需要在函数的开始声明一个新列表对象。
p1.plot(x2,y2,'g--',label='y=x') p1.legend(loc='upperleft',fontsize=13) ##plotthebox tx0=0;tx1=0.1;ty0=0;ty1=0.2 sx=[tx0,tx1,tx1,tx0,tx0] sy=[ty0,ty0,ty1,ty1,ty0] p1.plot(sx,sy,"purple") p2.axis([0,0.1,0,0.2]) p2.set_ylabel("患者密度(人/10万人)...