尝试在PCA的PCA上执行ANOVA，但收到错误消息

import numpy as np
import pandas as pd
from sklearn.decomposition import PCA
from scipy.stats import f_oneway

# 生成示例数据
data = {
    'group': ['A']*10 + ['B']*10 + ['C']*10,
    'feature': np.concatenate([np.random.normal(0, 1, 10), np.random.normal(2, 1, 10), np.random.normal(4, 1, 10)])
}
df = pd.DataFrame(data)

# 执行PCA
pca = PCA(n_components=1)
pca_result = pca.fit_transform(df[['feature']])

# 将PCA结果转换为DataFrame
pca_df = pd.DataFrame(pca_result, columns=['PC1'])

# 执行ANOVA
f_statistic, p_value = f_oneway(pca_df[pca_df['group'] == 'A']['PC1'], 
                                pca_df[pca_df['group'] == 'B']['PC1'], 
                                pca_df[pca_df['group'] == 'C']['PC1'])
print(f'F-statistic: {f_statistic}, p-value: {p_value}')