如何使用工作或学校帐户将SharePoint Online（Office365）Excel文件读入Python？

这个问题与下面的链接非常相似。

基本上，我想将一个excel文件从SharePoint导入pandas，以便进一步分析

问题是，当我运行下面的代码时，会出现以下错误

XLRDError: Unsupported format, or corrupt file: Expected BOF record; found b'\r\n<!DOCT'

---

对于在本期中最终与我一样的读者，我发现必须将完整URL路径设置为

文件

，而不仅仅是路径：

#import all the libraries
from office365.runtime.auth.authentication_context import AuthenticationContext
from office365.sharepoint.client_context import ClientContext
from office365.sharepoint.files.file import File 
import io
import pandas as pd

#target url taken from sharepoint and credentials
url = 'https://company.sharepoint.com/Shared%20Documents/Folder%20Number1/Folder%20Number2/Folder3/Folder%20Number4/Target_Excel_File_v4.xlsx?cid=_Random_letters_and_numbers-21dbf74c'
username = 'Dumby_account@company.com'
password = 'Password!'

ctx_auth = AuthenticationContext(url)
if ctx_auth.acquire_token_for_user(username, password):
  ctx = ClientContext(url, ctx_auth)
  web = ctx.web
  ctx.load(web)
  ctx.execute_query()
  print("Authentication successful")

response = File.open_binary(ctx, url)

#save data to BytesIO stream
bytes_file_obj = io.BytesIO()
bytes_file_obj.write(response.content)
bytes_file_obj.seek(0) #set file object to start

#read excel file and each sheet into pandas dataframe 
df = pd.read_excel(bytes_file_obj, sheetname = None)

---

也许值得注意的是，官方存储库中有许多关于sharepoint、drive和团队常见操作的示例

安装注意事项：

pip安装Office365 REST Python客户端

---

还有一个office365软件包，但上面的似乎是正确的

您使用的是Anaconda吗？我试图在Anaconda（）中安装office365库，但失败。遇到上述问题comment@papelr这不是评论的目的，也不是它们的工作原理。将你的问题作为新问题发布。我没有报告你的评论。我添加了一条注释以帮助您获得答案。为什么我会出现此错误？这是一个excel文件。。

#import all the libraries
from office365.runtime.auth.authentication_context import AuthenticationContext
from office365.sharepoint.client_context import ClientContext
from office365.sharepoint.files.file import File 
import io
import pandas as pd

#target url taken from sharepoint and credentials
url = 'https://company.sharepoint.com/Shared%20Documents/Folder%20Number1/Folder%20Number2/Folder3/Folder%20Number4/Target_Excel_File_v4.xlsx?cid=_Random_letters_and_numbers-21dbf74c'
username = 'Dumby_account@company.com'
password = 'Password!'

ctx_auth = AuthenticationContext(url)
if ctx_auth.acquire_token_for_user(username, password):
  ctx = ClientContext(url, ctx_auth)
  web = ctx.web
  ctx.load(web)
  ctx.execute_query()
  print("Authentication successful")

response = File.open_binary(ctx, url)

#save data to BytesIO stream
bytes_file_obj = io.BytesIO()
bytes_file_obj.write(response.content)
bytes_file_obj.seek(0) #set file object to start

#read excel file and each sheet into pandas dataframe 
df = pd.read_excel(bytes_file_obj, sheetname = None)