Question

我在将数据存储到CSV文件时遇到问题，但是存储不正确。

import urllib2
import csv
from bs4 import BeautifulSoup

url='http://contentlinks.dionglobal.in/ib/closeprices.asp?Exchange=NSE&Startname=A'
page = urllib2.urlopen(url)
soup = BeautifulSoup(page, 'html.parser')

for name_box in soup.find_all('tr', class_='alternate'):
    name = name_box.text.strip()
    print(name)

    with open('Book1.csv', 'a') as csv_file:
        writer = csv.writer(csv_file)
        writer.writerow([name])

for namebox2 in soup.find_all('tr', class_='alternate1'):
    name3 = namebox2.text.strip()

    with open('Book1.csv', 'a') as csv_file:
        writer = csv.writer(csv_file)
        writer.writerow([name3])

    print(type(name3))

Answer 1

尝试使用pandas执行此任务：

import urllib2
from bs4 import BeautifulSoup
import pandas as pd

url='http://contentlinks.dionglobal.in/ib/closeprices.asp?Exchange=NSE&Startname=A'
page = urllib2.urlopen(url)
soup = BeautifulSoup(page, 'html.parser')

df = pd.read_html(str(soup.find_all('table', cellspacing=2)),skiprows=1,header=0)[0].dropna()
df.to_csv('Book1.csv',index=False)

输出是：

Security Name     Open Pr         High Pr         Low Pri         Close P         Traded          Number          Traded Value (R

20 Microns        39.4            39.9            38.2            38.35           41131           203             1585478.1      
3i Infotech       4.25            4.4             4.15            4.15            3465068         1332            14679467.7     
3M India          13849.4         13899.9         13701.1         13732.8         3559            358             48934409.85    
A2Z Mainten       45              45.15           42.75           43.15           896729          4280            39108262.2     
Aarti Drug        521             533             506.6           530.3           23832           1516            12430577.4     
Aarti Inds        940             943.95          916             923.45          184109          3043            172642406      
Aarve Denim       64.5            65.95           61.05           61.4            19461           258             1216503.8      
Aban Offshor      187.8           191.9           183.3           187.15          1705780         20844           322208420.1    
ABB               1502            1506            1424.05         1443.35         108282          3793            156994217.4    
Abbott India      4389            4389            4275            4298.35         873             331             3773028.6      
ABG Shipyard      12.6            12.6            12.5            12.6            40626           126             511837.6       
ABM Intl          113.05          113.05          102.35          106.35          3451            52              374868.15      
Abshek Inds       80.8            81.3            77.8            79.1            418308          5783            33137029.05    
ACC               1653.9          1655.95         1626.4          1636.7          171707          11603           281527492.6    
Accel Front       51.1            51.1            48.3            50              6608            17              334956

如何将检索数据存储为CSV格式

1 个答案: