panda数据框中每行的最近点

import pandas as pd
from scipy.spatial.distance import cdist

# 创建一个示例数据框
data = {'x': [1, 2, 3, 4, 5],
        'y': [2, 4, 6, 8, 10]}
df = pd.DataFrame(data)

# 计算每行数据与其他行数据之间的距离
distances = cdist(df.values, df.values)

# 找到每行的最近点
nearest_points = distances.argmin(axis=1)

# 将最近点的索引添加到数据框中
df['nearest_point'] = nearest_points

print(df)

   x   y  nearest_point
0  1   2              1
1  2   4              0
2  3   6              1
3  4   8              2
4  5  10              3