#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_ylabel('Leads', color=col2, fontsize=16) 1. 2. 3. 4. 5. 6. 7...
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 代码运行次数:0 运行 AI代码解释 importnumpyasnpi...
(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 import numpy as np import pandas as pd import matplotlib.pyplot as plt draft_df = pd.read_csv("draft_data_1996_to_2014.csv",inde...
ax2.plot(demo0719['successRate']*100,'r-',label='successRate',linewidth=2) 1. 2. 3. 4. 5. 横坐标设置时间间隔 import matplotlib.dates as mdate ax1.xaxis.set_major_formatter(mdate.DateFormatter('%Y-%m-%d %H:%M:%S'))#设置时间标签显示格式 plt.xticks(pd.date_range(demo0719.index[...
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) ...
='blue')ax1.tick_params(axis='y',labelcolor='blue')# 创建第二个Y轴ax2=ax1.twinx()# 绘制第二条线line2=ax2.plot(x,y2,color='red',label='Exp(x)')ax2.set_ylabel('Y2 axis - Exp(x)',color='red')ax2.tick_params(axis='y',labelcolor='red')# 添加图例lines=line1+line2...
ylabel('y2')ax2.plot(x,y2,color='r',label='y2数据')ax2.tick_params(axis='y')ax2....
# Adding a Y-Axis Label to the Secondary Y-Axis in Matplotlib # importing the libraries importnumpy as np importmatplotlib.pyplot as plt # creating data for plot # data arrangement between 0 and 50 # with the difference of 2 # x-axis ...
Create a new Axes instance with an invisible x-axis and an independent y-axis positioned opposite to the original one (i.e. at right). The x-axis autoscale setting will be inherited from the original Axes. 大意就是使用这个函数,在原来的坐标系中新建一个共享x轴的双胞胎坐标系,类似的还有twi...
how2matplotlib.com')axs[1,0].plot(x,y3)axs[1,0].set_title('Tangent - how2matplotlib.com')axs[1,1].plot(x,y4)axs[1,1].set_title('Sine * Cosine - how2matplotlib.com')# 为整个图形设置X轴和Y轴标签fig.text(0.5,0.04,'X axis',ha='center')fig.text(0.04,0.5,'Y axis',va='...