非参数检验-Kruskal-Wallis

def solve():
    from scipy import stats
    import numpy as np
    from sklearn.datasets import load_iris
    import warnings
    warnings.filterwarnings(____)
    iris = load_iris()
    X = iris.data
    y = iris.target
    groups = [X[y == i, ____] for i in range(____)]
    # Tukey HSD
    from statsmodels.stats.multicomp import pairwise_tukeyhsd
    import pandas as pd
    data_flat = X[:, ____]
    labels = [iris.target_names[i] for i in y]
    result = pairwise_tukeyhsd(____)
    print(len(result.summary().data) - ____)