wine数据集相关性分析

def solve():
    from sklearn.datasets import load_wine
    import numpy as np
    wine = load_wine()
    corr_matrix = np.corrcoef(____)
    max_corr = ____
    max_pair = None
    for i in range(len(____)):
        for j in range(i+____, len(____)):
            if abs(____) > abs(____):
                max_corr = corr_matrix[i, j]
                max_pair = (____)
    print(____)
    print(____)