主成分分析(PCA)

def solve():
    from sklearn.datasets import load_iris
    from sklearn.decomposition import PCA
    import matplotlib.pyplot as plt
    import numpy as np
    iris = load_iris()
    pca = PCA(____)
    X_pca = pca.fit_transform(____)
    print(____)
    print(____)
    plt.figure(figsize=(____, ____))
    colors = ['____', '____', '____']
    for i, target_name in enumerate(____):
        mask = iris.target == i
        plt.scatter(____)
    plt.xlabel(____)
    plt.ylabel(____)
    plt.title(____)
    plt.legend()
    plt.grid(____)
    plt.show()