如何在一个图形中绘制多个seasonal_decompose图？

import pandas as pd
from statsmodels.tsa.seasonal import seasonal_decompose
import matplotlib.pyplot as plt

# 准备时间序列数据
data = pd.read_csv('data.csv', parse_dates=['date'], index_col='date')

# 定义绘制函数
def plot_seasonal_decompose(data, title):
    # 进行季节分解
    decomposition = seasonal_decompose(data, model='additive')
    
    # 绘制图形
    plt.figure(figsize=(12, 8))
    plt.subplot(411)
    plt.plot(data, label='Original')
    plt.legend(loc='best')
    plt.subplot(412)
    plt.plot(decomposition.trend, label='Trend')
    plt.legend(loc='best')
    plt.subplot(413)
    plt.plot(decomposition.seasonal,label='Seasonality')
    plt.legend(loc='best')
    plt.subplot(414)
    plt.plot(decomposition.resid, label='Residuals')
    plt.legend(loc='best')
    plt.suptitle(title, fontsize=16)
    plt.show()

# 绘制多个seasonal_decompose图
plot_seasonal_decompose(data['column1'], 'Seasonal Decompose - Column 1')
plot_seasonal_decompose(data['column2'], 'Seasonal Decompose - Column 2')