将Jaccard相似性保存在CSV文件中

import csv
from tencentcloud.common import credential
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.common.profile.http_profile import HttpProfile
from tencentcloud.cos import CosClient, models

# 读取数据集
data = [
    {"集合1": [1, 2, 3], "集合2": [2, 3, 4]},
    {"集合1": [4, 5, 6], "集合2": [5, 6, 7]}
]

# 计算Jaccard相似性并保存到CSV文件
with open('jaccard_similarity.csv', 'w', newline='') as csvfile:
    fieldnames = ['集合1', '集合2', 'Jaccard相似性']
    writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
    writer.writeheader()
    
    for d in data:
        set1 = set(d['集合1'])
        set2 = set(d['集合2'])
        jaccard_similarity = len(set1.intersection(set2)) / len(set1.union(set2))
        
        writer.writerow({'集合1': set1, '集合2': set2, 'Jaccard相似性': jaccard_similarity})

# 上传CSV文件到腾讯云COS
secret_id = 'your_secret_id'
secret_key = 'your_secret_key'
region = 'your_region'
bucket = 'your_bucket_name'
key = 'jaccard_similarity.csv'

cred = credential.Credential(secret_id, secret_key)
http_profile = HttpProfile()
http_profile.endpoint = 'cos.' + region + '.myqcloud.com'
client_profile = ClientProfile()
client_profile.httpProfile = http_profile
cos_client = CosClient(cred, region, client_profile)

with open('jaccard_similarity.csv', 'rb') as f:
    cos_client.upload_file(
        Bucket=bucket,
        Key=key,
        Body=f
    )

print('CSV文件上传成功！')