[英]How to convert a date to text format in excel file using python
[英]how to format excel file using python?
I have a script that scrapes data from list of websites using beautifulSoup package and save in an excel file using pandas and xlsxwriter packages.
我想要的是能夠像列的寬度一樣格式化 excel 文件
但是當我運行腳本時它崩潰並顯示以下錯誤。
AttributeError: 'NoneType' object has no attribute 'write'
import pandas as pd
import requests
from bs4 import BeautifulSoup
import xlsxwriter
def scrap_website():
url_list = ["https://www.bayt.com/en/international/jobs/executive-chef-jobs/",
"https://www.bayt.com/en/international/jobs/head-chef-jobs/",
"https://www.bayt.com/en/international/jobs/executive-sous-chef-jobs/"]
joineddd = []
for url in url_list:
soup = BeautifulSoup(requests.get(url).content,"lxml")
links = []
for a in soup.select("h2.m0.t-regular a"):
if a['href'] not in links:
links.append("https://www.bayt.com"+ a['href'])
for link in links:
s = BeautifulSoup(requests.get(link).content, "lxml")
### update Start ###
alldd = dict()
alldd['link'] = link
dd_div = [i for i in s.select("div[class='card-content is-spaced'] div")
if ('<dd>' in str(i) ) and ( "<dt>" in str(i))]
for div in dd_div:
k = div.select_one('dt').get_text(';', True)
v = div.select_one('dd').get_text(';', True)
alldd[k] = v
### update End ###
joineddd.append(alldd)
# result
df = pd.DataFrame(joineddd)
df_to_excel = df.to_excel(r"F:\\AIenv\web_scrapping\\jobDesc.xlsx", index = False, header=True)
workbook = xlsxwriter.Workbook(df_to_excel)
worksheet = workbook.add_worksheet()
worksheet.set_column(0, 0,50)
workbook.close()
錯誤在哪里以及如何解決?
to_excel
function 什么也不返回。 這就是您收到錯誤消息的原因。# save excel file
excel_file_name = r"jobDesc.xlsx"
df.to_excel(excel_file_name, index = False, header=True)
# open excel file for change col width or something
workbook = xlsxwriter.Workbook(excel_file_name)
xlsxwriter
更改現有文件。 有一種方法可以這樣做,但不建議這樣做。 我推薦openpyxl
package 而不是這個。 僅供參考, xlsxwriter:有沒有辦法在我的工作簿中打開現有工作表? 要訪問和格式化由to_excel()
創建的 Excel 工作簿或工作表,您需要首先創建一個 ExcelWriter object。 像這樣的東西:
import pandas as pd
# Create a Pandas dataframe from some data.
df = pd.DataFrame({'Data': [10, 20, 30, 20, 15, 30, 45]})
# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('pandas_simple.xlsx', engine='xlsxwriter')
# Convert the dataframe to an XlsxWriter Excel object.
df.to_excel(writer, sheet_name='Sheet1', index=False, header=True)
# Get the xlsxwriter objects from the dataframe writer object.
workbook = writer.book
worksheet = writer.sheets['Sheet1']
# Set the column width.
worksheet.set_column(0, 0, 50)
# Close the Pandas Excel writer and output the Excel file.
writer.save()
Output:
有關更多詳細信息,請參閱使用 Python Pandas 和 XlsxWriter 。
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