如何将符号添加到多个股票数据

如何解决如何将符号添加到多个股票数据

#i我的代码下面是报废的数据，现在我想在相应的公司数据中添加一列符号，请指导我如何将符号添加到相应的公司数据中

下面的#code

from time import sleep

import pandas as pd

import os

import numpy as np

from bs4 import BeautifulSoup

from selenium import webdriver

from webdriver_manager.chrome import ChromeDriverManager

browser = webdriver.Chrome(ChromeDriverManager().install())

symbols =['FATIMA','SSGC','FCCL','ISL','KEL','NCL','DGKC','SNGP','NML','ENGRO','HUMNL','CHCC','ATRL','HUBC','ASTL','PIBTL','OGDC','EFERT','FFC','NCPL','KTML','PSO','LUCK','SEARL','KOHC','ABOT','AICL','HASCOL','PTC','KAPCO','PIOC','POL','SHEL','GHGL','HCAR','DCR','BWCL','MTL','GLAXO','PKGS','SHFA','MARI','ICI','ACPL','PSMC','SPWL','THALL','BNWM','EFUG','GADT','AABS']

company = 1

for ThisSymbol in symbols :
    

    # Get first symbol from the above python list
    
    company = 2

    # In the URL,make symbol as variable
    url = 'http://www.scstrade.com/stockscreening/SS_CompanySnapShotYF.aspx?symbol=' + ThisSymbol
    browser.get(url)
    sleep(2)

    # The below command will get all the contents from the url
    html = browser.execute_script("return document.documentElement.outerHTML")
    # So we will supply the contents to beautiful soup and we tell to consider this text as a html,with the following command
    soup = BeautifulSoup (html,"html.parser")

    for rn in range(0,9) :
        plist = []
        r = soup.find_all('tr')[rn]

        # Condition: if first row,then th,otherwise td
        if (rn==0) :
            celltag = 'th'
        else :
            celltag = 'td'

        # Now use the celltag instead of using fixed td or th
        col = r.find_all(celltag)
        print()
        if col[i] == 0:
            print ("")
        else:
            
            for i in range(0,4) :
                cell = col[i].text
                clean = cell.replace('\xa0 ','')
                clean = clean.replace (' ','')
                plist.append(clean)


        # If first row,create df,otherwise add to it
        if (rn == 0) :
            df = pd.DataFrame(plist)

        else :
            df2 = pd.DataFrame(plist)
            colname = 'y' + str(2019-rn)
            df[colname] = df2

    if (company == 1):
        dft = df.T
        
        # Get header Column
        head = dft.iloc[0]


        # Exclude first row from the data
        dft = dft[1:]
        dft.columns = head
        dft = dft.reset_index()

        # Assign Headers
        dft = dft.drop(['index'],axis = 'columns')
        
    else:
        dft2 = df.T
    


        # Get header Column
        head = dft2.iloc[0]

        # Exclude first row from the data
        dft2 = dft2[1:]
        dft2.columns = head
        dft2 = dft2.reset_index()

        # Assign Headers
        dft2 = dft2.drop(['index'],axis = 'columns')
        dft['Symbol'] = ThisSymbol
        
    dft = dft.append(dft2,sort=['Year','Symbol'])

    
    company = company +1
    
dft

解决方法

我的输出看起来像这样，我希望每个公司数据都有一个符号列 符号，我已添加

dft ['Symbol'] = ThisSymbol

但是它仅将列表中的第一家公司添加到所有公司数据中

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