python如何把文本样式的时间格调整为日期格式的？

double07

请问下列代码输出的“开拍时间”（67行）及“数据截止日期”（74行）格式是均为文本格式，无法按日期进行筛选，如何调整让输出的时间为时间格式的？

[Python] 纯文本查看 复制代码

import re
import time

import chardet
import cpca
import pandas as pd
import requests
from lxml import etree

p = 0
n = 0
startPrice = ''
curPage = 23
data_list = []
id_init = []
id_stock = []
id_stock = id_stock + id_init
st = time.strftime("%Y-%m-%d %H-%M", time.localtime())
st2 = time.strftime("%Y-%m-%d", time.localtime())

cookies = {
headers = {
    "user-agent": "Mozilla/5.0 (Windows NT 10.0; WOW64; rv:60.0)Gecko/20100101 Firefox/67.0'",
}

# 获取网页内容
def gethtml(url):
    response = requests.get(url, cookies=cookies, headers=headers)
    encodingInfo = chardet.detect(response.content)
    r_response = response.content.decode(encodingInfo['encoding'], 'ignore')
    return r_response

def parse_url_detail(r):
    html = etree.HTML(r)
    lst = {}
    lst['索引'] = ''
    lst['阶段'] = html.xpath('//*[@id="page"]/div[4]/div/div/h1/span/text()')[0].strip()
    lst['标的物地址'] = html.xpath('//*[@class="pm-main clearfix"]/h1/text()')[1].strip()
    lst['起拍价/万元'] = round(
        eval(html.xpath('//*[@id="sf-price"]/div/p[1]/span/em/text()')[0].strip().replace(",", "")) / 10000, 2)
    try:
        J_Price = re.findall(
            r'<span.*?>评 估 价</span>\s*<span.*?>:\s*<em\s*class="m-i">￥</em><span\s*class="J_Price">(.*?)</span>',
            r)[0]  # 评估价
        lst['评估价/万元'] = round(eval(J_Price.replace(",", "")) / 10000, 2)
    except Exception:
        try:
            J_Price = re.findall(
                r'<span.*?>市场价</span>\s*<span.*?>:\s*<em\s*class="m-i">￥</em><span\s*class="J_Price">(.*?)</span>',
                r)[0]
            lst['评估价/万元'] = round(eval(J_Price.replace(",", "")) / 10000, 2)
        except Exception:
            lst['评估价/万元'] = ' '
    pay_price = \
        re.findall(
            r'<span.*?>保证金</span>\s*<span.*?>:\s*<em\s*class="m-i">￥</em><span\s*class="J_Price">(.*?)</span>',
            r)[0]  # 保证金
    lst['保证金/万元'] = round(eval(pay_price.replace(",", "")) / 10000, 2)
    increase = \
        re.findall(
            r'<span.*?>加价幅度</span>\s*<span.*?>:\s*<em\s*class="m-i">￥</em><span\s*class="J_Price">(.*?)</span>',
            r)[0]  # 加价幅度
    lst['加价幅度'] = eval(increase.replace(",", ""))
    slt = html.xpath('//*[@id="sf-countdown"]/@data-start')[0].strip()  # 开拍日期
    initial_date = eval(slt) / 1000  # 网页原始开拍日期
    tupTime = time.localtime(initial_date)  # 秒时间戳
    lst['开拍时间'] = time.strftime("%m月%d日", tupTime)
    elt = html.xpath('//*[@id="sf-countdown"]/@data-end')[0].strip()  # 结束日期
    initial_enddate = eval(elt) / 1000  # 网页原始结束日期
    tupTime = time.localtime(initial_enddate)  # 秒时间戳TF
    lst['结束时间'] = time.strftime("%m月%d日", tupTime)
    lst['详情页链接'] = "https:" + html.xpath('//*[@id="page"]/link[2]/@href')[0].strip()
    lst['项目ID'] = eval(re.findall(r'item_id=(\d{1,})', r)[0])  # 项目ID
    lst['数据截止日期'] = st2
    data_list.append(lst)
    return data_list

def updata(i):
    global p
    html = gethtml(i)
    id_lst = re.findall(r'"id":(\d{1,})', html)
    for d in range(len(id_lst)):
        if eval(id_lst[d]) not in id_list:
            u = "https:" + re.findall(r'"itemUrl":\s*"(//[^\s]*)\?.*?"', html)[d].strip()
            html_detail = gethtml(u)
                parse = parse_url_detail(html_detail)
                time.sleep(7)
                df = pd.DataFrame(parse)
                for i in df.index:
                    df['索引'].at[i] = i + 1
                df2 = cpca.transform(df['标的物地址'])
                df['区'] = df2.loc[:, ['区']]
                df['地址'] = df2.loc[:, ['地址']]
                df.to_excel("C:/Users/Administrator/Desktop/Python/AL-SF/每日房源数据-调试/1-阿里_住宅最新房源" + st + ".xlsx",
                            index=False)
                print('新增第%s条数据已保存' % str(i + 1))
                time.sleep(4)



# 翻页
def next_page():
    url_np = 'https://'
    url_list = [url_np.format(i + 1, startPrice) for i in range(0, curPage)]
    return url_list


# 主程序
def main():
    global n
    n = 0
    page = next_page()
    # with ThreadPoolExecutor(16) as t:
    for i in page:
        time_start = time.time()
        updata(i)
        time_end = time.time()
        n += 1
        print('第%s页已扫描====用时%.1f秒' % (n, time_end - time_start))

if __name__ == '__main__':
    # while True:
    df = pd.read_excel("C:/Users/每日房源数据-调试/数据更新+ ".xlsx",
                       sheet_name='源数据')
    id_list = df['项目ID'].tolist()
    main()

byyulei

pd.to_datetime

rsnodame

pd.Timestamp
https://pandas.pydata.org/pandas ... das.Timestamp.html#

yyjj95

import datetime
Initial_time = '2021-08-24'

# 补录开始时间


Initial_time = datetime.datetime.strptime(Initial_time, '%Y-%m-%d').date()

print(Initial_time, type(Initial_time))

double07

rsnodame 发表于 2021-8-26 12:48
pd.Timestamp
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Timestamp.html#

有个"00:00:00"的尾巴

rsnodame

double07 发表于 2021-8-26 15:05
有个"00:00:00"的尾巴

日期格式的转换，time库和datetime库都可以，因为看到你用了pandas，所以可以直接用pandas的Timestamp类，能直接喂给pandas做筛选。
你的代码没仔细看，如果目的是单纯的日期格式的转换，考虑到你用的pandas，建议你用datetime库，因为pandas的时间类数据是基于datetime的。具体用法网上很多介绍