利用卡方检验完成鸢尾花数据集的相关分析代码

非常感谢您的提问。以下是利用卡方检验完成鸢尾花数据集的相关分析代码：

from sklearn.datasets import load_iris
from scipy.stats import chi2_contingency

data = load_iris()
X, y = data['data'], data['target']
feature_names = data['feature_names']
target_names = data['target_names']

for i, feature_name in enumerate(feature_names):
    print('Feature:', feature_name)
    for j, target_name in enumerate(target_names):
        obs = X[y == j, i]
        bins = np.percentile(obs, [25, 50, 75])
        exp = np.array([np.sum(obs <= b) for b in bins] + 
                       [np.sum(obs > b) for b in bins])
        _, pvalue, _, _ = chi2_contingency([exp[:3], exp[3:]])
        print('  Target:', target_name)
        print('  P-value:', pvalue)

希望这可以帮助您完成相关分析。如果您还有其他问题，请随时提出。