Pandas:计算X，Y分组之间的距离和角度

import pandas as pd
import numpy as np
from scipy.spatial.distance import pdist, squareform

data = {'X': [1, 2, 3, 4, 5],
        'Y': [6, 7, 8, 9, 10]}
df = pd.DataFrame(data)

dist_matrix = pdist(df[['X', 'Y']], metric='euclidean')
dist_df = pd.DataFrame(squareform(dist_matrix), columns=df.index, index=df.index)

angle_matrix = pdist(df[['X', 'Y']], metric='cosine')
angle_df = pd.DataFrame(squareform(angle_matrix), columns=df.index, index=df.index)