关于python:朋友股票亏惨了我一怒用Python爬取了证券最新数据

import requests
import execjs
import js2py
import math
import time
import pandas as pd
code_list = []
def MCODE():

jscode = '''
function missjson(input) {  
    var keyStr = "ABCDEFGHIJKLMNOP" + "QRSTUVWXYZabcdef" + "ghijklmnopqrstuv"   + "wxyz0123456789+/" + "=";  
    var output = "";  
    var chr1, chr2, chr3 = "";  
    var enc1, enc2, enc3, enc4 = "";  
    var i = 0;  
    do {chr1 = input.charCodeAt(i++);  
        chr2 = input.charCodeAt(i++);  
        chr3 = input.charCodeAt(i++);  
        enc1 = chr1 >> 2;  
        enc2 = ((chr1 & 3) << 4) | (chr2 >> 4);  
        enc3 = ((chr2 & 15) << 2) | (chr3 >> 6);  
        enc4 = chr3 & 63;  
        if (isNaN(chr2)) {enc3 = enc4 = 64;} else if (isNaN(chr3)) {enc4 = 64;}  
        output = output + keyStr.charAt(enc1) + keyStr.charAt(enc2)  
                + keyStr.charAt(enc3) + keyStr.charAt(enc4);  
        chr1 = chr2 = chr3 = "";  
        enc1 = enc2 = enc3 = enc4 = "";  
    } while (i < input.length);      
    return output;  
} 
'''time1 = js2py.eval_js('Math.floor(new Date().getTime()/1000)')
# py 形式
a = math.floor(time.time() / 1000)
mcode = execjs.compile(jscode).call('missjson', '{a}'.format(a=time1))
return mcode

def PageRquest(datetime, mcode):

# 接口能够换
url = 'http://webapi.cninfo.com.cn/api/sysapi/p_sysapi1015'
data = {
    'tdate': datetime, # 获取数据工夫
    'scode': '399001'  # 股票代码 以及交易所简称
}
headers = {'mcode': str(mcode),
    'Referer': 'http://webapi.cninfo.com.cn/',
    'Cookie': '[PayPal 下载](https://www.gendan5.com/wallet/PayPal.html)Hm_lvt_489bd07e99fbfc5f12cbb4145adb0a9b=1634795282; Hm_lpvt_489bd07e99fbfc5f12cbb4145adb0a9b=1634799860',
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/95.0.4638.54 Safari/537.36'
}
response = requests.post(url, headers=headers, data=data).json()
code = response['records']
for i in code:
    code_list.append(i)

def main(date):

mcode = MCODE()
PageRquest(date, mcode)

if name == ‘__main__’:

# main()
# 数据分析 pandas 自动化办公的
datetime = pd.period_range('2021/5/1', '2021/10/20', freq='B')
for date in datetime:
    main(date)
df = pd.DataFrame(code_list)
df.to_excel('code.xlsx')