ax1.set_xticks([0,2,4,6]) ax1.set_yticks([-3, 0, 3]) ax2.plot(x, y) plt.show() A选项:set_xticks()用于定义y轴的刻度值 B选项:set_yticks()用于定义x轴的刻度值 C选项:set_xticks()用于定义x轴和y轴的刻度值 D选项:set_yticks()用于定义y轴的刻度值 正确答案是:D 图1 问题解析...
x_ticks = np.arange(-360, 361, tick_size) y_ticks = np.arange(-90, 91, tick_size) # 添加网格线 ax.grid(which='major', alpha=alpha_grid) # 指定轴的最小-最大边界 if (x_min is not None and x_max is not None and y_min is not None and y_max is not None): ax.set_xli...
importmatplotlib.pyplotaspltfrommatplotlib.tickerimportFormatStrFormatter# 创建坐标轴fig,ax=plt.subplots()# 设置y轴的刻度标签ax.set_yticks([0.1,0.2,0.3,0.4,0.5])# 设置小数点后的精度ax.yaxis.set_major_formatter(FormatStrFormatter('%.2f'))# 绘制图形x=[1,2,3,4,5]y=[0.12,0.25,0.38,0.42,...
方法一:使用set_yticks函数 我们可以使用set_yticks函数来设置y轴的刻度值。set_yticks函数接受一个数组作为参数,数组中的元素将被设置为y轴的刻度值。 下面是一个示例代码: fig,ax=plt.subplots()ax.boxplot(data)ax.set_yticks([0,1,2,3])# 设置y轴刻度值为0、1、2、3plt.show() 1. 2. 3. 4...
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 复制Cloud Studio 代码运行 #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_xticks(np...
ax1= fig.add_subplot(211) ax1.bar(np.arange(0,10,2),np.random.rand(5)) ax1.set_yticks(np.arange(0,1,0.25)) ax2= ax1.twinx()#克隆一个共享x轴的axes对象ax2.plot(np.random.randn(10),c="b") plt.show() 效果图如下:
ax.set_yticks(np.linspace(50,100,6))#可调控字体大小,样式, ax.set_xticklabels(["星期一","星期二","星期三","星期四","星期五","星期六","星期日"],fontproperties="SimHei",\ fontsize=12,rotation=10) #参数rotation=10,可以使得类标旋转值为10的角度 ...
set_yticks(np.arange(-20,76,15), crs=ccrs.PlateCarree()) ax.tick_params(color = 'gray',direction='in',length=1,labelsize=3) c = ax.contourf(data['XLONG'][0],data['XLAT'][0],(TSK_mean_space[0]+TSK_mean_space[1]+TSK_mean_space[2])/3.0,levels=np.arange(240,320,2),...
1) Your arange should produce 5 ticks, the same as labels you set. arange is not good for that. It is better to use linspace. 2) You can set ticks and labels with the same function plot(x,y) xlabel('Time (years)') ylabel('Brightness') yticks(np.linspace(12/16., 1, 5), (...
ax2.set_yticks([1,3,5,7]) ax2.set_yticklabels(('one','two','three','four','five'))# 不显示‘five'ax2.set_xlim(5,0)# X轴刻度ax2.axis["left"].set_axis_direction("right") ax2.axis["left"].label.set_text("子图2 left标签")# 显示在右边ax2.axis["bottom"].set_axis_...