主要是想查詢第一個url檔案中的url在第二個檔案中url中有多少個和它匹配。
第一個檔案截圖（共23個特徵資料）：

第二個檔案截圖，共6萬多URL資料：

結果截圖：

import pandas as pd
import numpy as np
df = pd.read_csv('cluster_all.csv')
#一次性刪除指定列
x=[0,2]
df.drop(df.columns[x], axis=1, inplace=True)
df.columns = ['url','y_pre_20']
#去重
temp_df = df.drop_duplicates(subset=['url'], keep='first', inplace=False)#以url刪除重複行
#轉換成df格式的資料
data = pd.DataFrame(temp_df)

df_notRepetion = data.sort_values(["y_pre_20"],ascending=True)#以y_pre_20列排序
s_noRepetion_url = df_notRepetion.url
s_notRepetion = pd.Series(s_noRepetion_url)
s_allUrl = df.url
s_all = pd.Series(s_allUrl)
feature_df =  pd.read_csv('url.csv')
fea = feature_df.URL
s_fea = pd.Series(fea)
url_fea_list = s_fea.tolist()
url_all_list = s_all.tolist()
url_notRepetion_list = s_notRepetion.tolist()
count_dict = {}
import re
for var in url_fea_list:
    k=0
    for i in url_all_list:     
        #str_list = var.split('/')
        str_i_list = i.split(' ')
        #var_str = " ".join(str_list)
        i_str = "/".join(str_i_list)
        s = r'.*?'+var+'.*'
        ifmatch = re.search(pattern=s, string=i_str)
        if ifmatch:
            k=k+1
    count_dict.update(var=k)
    print(var,k)