#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_...
# 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') # 标题和图例 plt.title('物联网计算卸...
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 =...
# 左侧Y轴:网络延迟 ax1.plot(user_nums, latency, 'b-o', linewidth=2, markersize=8, label='网络延迟') ax1.set_xlabel('用户数量', fontsize=12) ax1.set_ylabel('网络延迟 (ms)', color='b', fontsize=12) ax1.tick_params(axis='y', labelcolor='b') ax1.grid(linestyle='--', a...
ax1.set_title("Double Y axis") ax2 = ax1.twinx() # this is the important function ax2.plot(x, y2, 'r') ax2.set_xlim([0, np.e]) ax2.set_ylabel('Y values for ln(x)') ax2.set_xlabel('Same X for both exp(-x) and ln(x)') ...
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...
第二:至少有两个不同y-axis的图: fig, ax = plt.subplots() ax2 = ax.twinx() ax.plot(df.index,df.a,'-b') ax2.plot(df.index,df.c,'-g') 但我所有的尝试都失败了。有人有解决办法吗? 为每个子批次设置两个轴。 ax0 = plt.subplot(1,2,1) ...
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 ...
import matplotlib.pyplot as plt # 创建一个新的图表 fig, ax1 = plt.subplots() # 绘制第一个Y轴数据 ax1.plot([1, 2, 3, 4], [10, 15, 20, 25], color='r') ax1.set_ylabel('Y1 Axis', color='r') # 创建第二个Y轴 ax2 = ax1.twinx() ax2.plot([1, 2, 3, 4], [50, ...
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...