如何使用matplotlib从pandas dataframe列绘制具有不同标签的子图

import pandas as pd
import matplotlib.pyplot as plt

data = {'Label': ['A', 'B', 'A', 'B', 'A', 'B'],
        'Column1': [1, 2, 3, 4, 5, 6],
        'Column2': [7, 8, 9, 10, 11, 12]}
df = pd.DataFrame(data)

groups = df.groupby('Label')

fig, ax = plt.subplots()

for label, group in groups:
    ax.plot(group['Column1'], group['Column2'], label=label)

ax.legend()
ax.set_xlabel('Column1')
ax.set_ylabel('Column2')

plt.show()