使用数据帧中每行的最近点追加pandas行

import pandas as pd
import numpy as np
from scipy.spatial import distance

# 创建示例数据帧
df = pd.DataFrame({
    'x': [1, 2, 3, 4, 5],
    'y': [2, 4, 6, 8, 10]
})

# 定义用于计算最近点的函数
def find_nearest_point(row, df):
    distances = []
    for _, r in df.iterrows():
        distances.append(distance.euclidean((row['x'], row['y']), (r['x'], r['y'])))
    nearest_index = np.argmin(distances)
    return df.iloc[nearest_index]

# 使用apply函数找到每行的最近点
nearest_points = df.apply(lambda row: find_nearest_point(row, df), axis=1)

# 将新的行追加到数据帧中
new_df = df.append(nearest_points, ignore_index=True)

print(new_df)