Question

你能告诉我Python是否可以写入同一个Excel文件，但有两个不同的电子表格（标签）吗？

例如，我想挑选和编写以下4个网站的标题，并将它们分别写入相同的文件title.xls，但分别写在Sheet1和Sheet 2中。

www.dailynews.com
www.dailynews.co.zw
www.gulf-daily-news.com
www.dailynews.gov.bw

我用2个脚本完成它们，每个脚本用于2个网站：

from bs4 import BeautifulSoup
import urllib2
import xlwt

line_in_list = ['www.dailynews.com','www.dailynews.co.zw'] 
# line_in_list = [www.gulf-daily-news.com','www.dailynews.gov.bw']

book = xlwt.Workbook(encoding='utf-8', style_compression = 0)
sheet = book.add_sheet('Sheet1', cell_overwrite_ok = True) 
# sheet = book.add_sheet('Sheet2', cell_overwrite_ok = True)

for cor,websites in enumerate(line_in_list):
    url = "http://" + websites
    page = urllib2.urlopen(url)
    soup = BeautifulSoup(page.read())
    site_title = soup.find_all("title")
    print site_title
    sheet.write (cor, 0, site_title[0].text)

book.save("title.xls")

然而，脚本正在覆盖工作表。我只能使用Sheet1或Sheet2，但不能同时使用两者。

有什么帮助吗？感谢。

Answer 1

如果我正确理解你的需要。对不起，无法发表评论以使其更加清晰。

sheet1 = book.add_sheet('Sheet1', cell_overwrite_ok = True) 
sheet2 = book.add_sheet('Sheet2', cell_overwrite_ok = True)
sheet1.write (cor, 0, site_title[0].text)
sheet2.write (cor, 0, site_title[0].text)

Answer 2

你也可以用熊猫来做。

import pandas as pd

# Add your data in list, which may contain a dictionary with the name of the      
# columns as the key
df1 = pd.DataFrame({'website': ['www.dailynews.com', 'www.dailynews.co.zw']})
df2 = pd.DataFrame({'website': ['www.gulf-daily-news.com', 'www.dailynews.gov.bw']})

# Create a new excel workbook
writer = pd.ExcelWriter('title.xlsx', engine='xlsxwriter')

# Write each dataframe to a different worksheet.
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')

Answer 3

import numpy as np 
import pandas as pd

# Create a Dataframe
df1 = pd.DataFrame(np.random.rand(100).reshape(50,2),columns=['a','b'])
df2 = pd.DataFrame(np.random.rand(100).reshape(50,2),columns=['a','b'])

# Excel path
excelpath = 'path_to_your_excel.xlsx'

# Write your dataframes to difference sheets

with pd.ExcelWriter(excelpath) as writer:
    df1.to_excel(writer,sheet_name='Sheet1')
    df2.to_excel(writer,sheet_name = 'Sheet2')


""" I noticed that the above script overwrite all existing columns of in 
the excel. In case you want to keep some columns and sheet untouched, 
you might consider doing it the following way"""

import pandas as pd
import numpy as np
from openpyxl import load_workbook

book = load_workbook(excelpath)
writer = pandas.ExcelWriter(excelpath, engine='openpyxl') 
writer.book = book
writer.sheets = dict((ws.title, ws) for ws in book.worksheets)

df1.to_excel(writer, "Sheet1", columns=['a', 'b']) # only columns 'a' and 'b' will be populated 
df2.to_excel(writer,"Sheet2",columns=['a','b']) # only columns 'a' and 'b' will be populated 

writer.save()

将结果写入同一Excel文件中的2个不同工作表

3 个答案: