具有多个y轴的pandas/matplotlib图

import pandas as pd
import matplotlib.pyplot as plt

data = {'x': [1, 2, 3, 4, 5],
        'y1': [10, 20, 30, 40, 50],
        'y2': [100, 200, 300, 400, 500],
        'y3': [1000, 2000, 3000, 4000, 5000]}
df = pd.DataFrame(data)

fig, ax1 = plt.subplots()

ax1.plot(df['x'], df['y1'], color='red', marker='o')
ax1.set_xlabel('X')
ax1.set_ylabel('Y1', color='red')
ax1.tick_params('y', colors='red')

ax2 = ax1.twinx()

ax2.plot(df['x'], df['y2'], color='blue', marker='o')
ax2.set_ylabel('Y2', color='blue')
ax2.tick_params('y', colors='blue')

ax3 = ax1.twinx()
ax3.spines['right'].set_position(('outward', 60))  # 调整第三个y轴的位置

ax3.plot(df['x'], df['y3'], color='green', marker='o')
ax3.set_ylabel('Y3', color='green')
ax3.tick_params('y', colors='green')

lines = [ax1.get_lines()[0], ax2.get_lines()[0], ax3.get_lines()[0]]
ax1.legend(lines, ['Y1', 'Y2', 'Y3'])

plt.show()