[{"createTime":1735734952000,"id":1,"img":"hwy_ms_500_252.jpeg","link":"https://activity.huaweicloud.com/cps.html?fromacct=261f35b6-af54-4511-a2ca-910fa15905d1&utm_source=V1g3MDY4NTY=&utm_medium=cps&utm_campaign=201905","name":"华为云秒杀","status":9,"txt":"华为云38元秒杀","type":1,"updateTime":1735747411000,"userId":3},{"createTime":1736173885000,"id":2,"img":"txy_480_300.png","link":"https://cloud.tencent.com/act/cps/redirect?redirect=1077&cps_key=edb15096bfff75effaaa8c8bb66138bd&from=console","name":"腾讯云秒杀","status":9,"txt":"腾讯云限量秒杀","type":1,"updateTime":1736173885000,"userId":3},{"createTime":1736177492000,"id":3,"img":"aly_251_140.png","link":"https://www.aliyun.com/minisite/goods?userCode=pwp8kmv3","memo":"","name":"阿里云","status":9,"txt":"阿里云2折起","type":1,"updateTime":1736177492000,"userId":3},{"createTime":1735660800000,"id":4,"img":"vultr_560_300.png","link":"https://www.vultr.com/?ref=9603742-8H","name":"Vultr","status":9,"txt":"Vultr送$100","type":1,"updateTime":1735660800000,"userId":3},{"createTime":1735660800000,"id":5,"img":"jdy_663_320.jpg","link":"https://3.cn/2ay1-e5t","name":"京东云","status":9,"txt":"京东云特惠专区","type":1,"updateTime":1735660800000,"userId":3},{"createTime":1735660800000,"id":6,"img":"new_ads.png","link":"https://www.iodraw.com/ads","name":"发布广告","status":9,"txt":"发布广告","type":1,"updateTime":1735660800000,"userId":3},{"createTime":1735660800000,"id":7,"img":"yun_910_50.png","link":"https://activity.huaweicloud.com/discount_area_v5/index.html?fromacct=261f35b6-af54-4511-a2ca-910fa15905d1&utm_source=aXhpYW95YW5nOA===&utm_medium=cps&utm_campaign=201905","name":"底部","status":9,"txt":"高性能云服务器2折起","type":2,"updateTime":1735660800000,"userId":3}]
代码如下
import os import pandas as pd df =
pd.DataFrame(columns=['流水号','事件名称','本方户名','对方户名','流水时间','操作员','交易额','流水标志','扇区号'])
l = [] num = [] def search(path): parents = os.listdir(path) sum = 0 for parent
in parents: # 返回指定路径下所有文件和文件夹的名字，并存放于一个列表中 child = os.path.join(path,parent) if
os.path.isdir(child): # 将多个路径组合后返回 search(child) elif os.path.isfile(child): #
如果是目录，则继续遍历子目录的文件 if os.path.splitext(child)[1] == '.xls': #
分割文件名和文件扩展名，并且扩展名为'xls' d = pd.read_excel(child) for i in range(len(d)):
num.append(os.path.split(child)[1][0:9]) l.append(d)
#search(r'C:\\Users\aming\\Desktop\\大学生行为分析\\后勤数据\\学生数据_LHJ_YJ')
search(r'C:\\Users\aming\\Desktop\\大学生行为分析\\后勤数据\\学生数据_LHJ_YJ\1250111\2012-8-1_2014-7-15')
df = pd.concat(l) da = pd.Series(num) df['学号'] = da df =
df.drop(columns=['流水号','扇区号','流水号','操作员','流水标志'],axis=1) #删除整列全为NAN的列
df.to_excel('rone.xlsx',index=False) # 保存为result文件
