如何使用PRcomp将标签从主成分分析更改为样本名称

import numpy as np
import pandas as pd

# 加载数据集
data = pd.read_csv('data.csv')

from sklearn.decomposition import PCA

# 执行主成分分析
pca = PCA()
pca.fit(data)

# 获取主成分分析的结果
components = pca.components_

# 将标签更改为样本名称
sample_names = data.index.tolist()

import matplotlib.pyplot as plt

# 可视化结果
plt.scatter(components[:, 0], components[:, 1])
for i, name in enumerate(sample_names):
    plt.annotate(name, (components[i, 0], components[i, 1]))
plt.xlabel('Component 1')
plt.ylabel('Component 2')
plt.title('PCA with Sample Names')
plt.show()