California房价KNN回归可视化

def solve():
    import pandas as pd
    import matplotlib.pyplot as plt
    from sklearn.neighbors import KNeighborsRegressor
    from sklearn.model_selection import train_test_split
    df = pd.read_csv(____).head(____)
    X = df[["____"]]; y = df["____"]
    X_train, X_test, y_train, y_test = train_test_split(____)
    knn = KNeighborsRegressor(____).fit(____)
    y_pred = knn.predict(____)
    plt.scatter(____)
    plt.scatter(____)
    plt.xlabel(____); plt.ylabel(____); plt.legend()
    plt.title(____); plt.show()
    print(____)