# 右侧Y轴:任务成功率 ax2 = ax1.twinx() ax2.plot(user_nums, success_rate, 'r--s', linewidth=2, markersize=8, label='任务成功率') ax2.set_ylabel('任务成功率 (%)', color='r', fontsize=12) ax2.tick_params(axis='y', labelcolor='r'
#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_...
plot2 = ax2.plot(X_values,Y_values_2,'g',label='Avg WS/48') ax2.set_ylabel('Win Shares Per 48 minutes',fontsize=18) ax2.set_ylim(0,0.08) ax2.tick_params(axis='y',labelsize=14) for tl in ax2.get_yticklabels(): tl.set_color('g') ax2.set_xlim(1966,2014.15) lines =...
color='red') ax1.plot(a, y1, color=color) ax1.tick_params(axis='y',
(万元)',color='tab:orange')ax2.plot(months,sales,color='tab:orange',label='销售额')ax2.tick_params(axis='y',labelcolor='tab:orange')# 设置右侧Y轴的刻度ax2.set_yticks(np.arange(0,401,50))ax2.set_ylim(0,400)# 添加图例和标题fig.tight_layout()# 调整布局plt.title('平均温度与...
p3 = par3.plot( data2.index, data2["垂直全平均変位[mm]"], linewidth=1, color=colors[4], label="Normal displacement", ) # 轴名称颜色 host.axis["left"].label.set_color(p0[0].get_color()) par1.axis["right"].label.set_color(p1[0].get_color()) par2.axis["right"].label.se...
importmatplotlib.pyplotaspltimportnumpyasnp# 创建数据x=np.linspace(0,10,100)y1=np.sin(x)y2=np.exp(x)# 创建图表和第一个Y轴fig,ax1=plt.subplots()# 绘制第一条线line1=ax1.plot(x,y1,color='blue',label='Sin(x)')ax1.set_xlabel('X axis - how2matplotlib.com')ax1.set_ylabel('Y1...
2. 设置y轴标签 除了更改y轴刻度值,我们还可以设置y轴的标签,以便更好地描述y轴所代表的含义。下面是设置y轴标签的示例代码: importmatplotlib.pyplotasplt x=[1,2,3,4,5]y=[10,20,30,40,50]plt.plot(x,y)plt.ylabel('Price ($)')plt.show() ...
双Y轴折线图 (plot both of those plots in one plot with 2 y-axis labels) 一个Y轴用来展示每年选秀总人数,另一个Y轴用来展示赢球贡献值的平均值。 导入需要的模块、读入数据 (如需要下文用到的数据,可至公众号后台回复管检测 选秀) 代码语言:javascript ...
# 右侧Y轴:任务成功率 ax2 = ax1.twinx() ax2.plot(user_nums, success_rate, 'r--s', linewidth=2, markersize=8, label='任务成功率') ax2.set_ylabel('任务成功率 (%)', color='r', fontsize=12) ax2.tick_params(axis='y', labelcolor='r') ...