如何使用工作或學校帳戶將 SharePoint Online (Office365) Excel 文件讀取到 Python 特別是 pandas？

Question

這個問題與下面的鏈接非常相似。 如何使用工作或學校帳戶閱讀 SharePoint Online (Office365) Excel 中的 Python 文件？

本質上，我想將 excel 文件從 SharePoint 導入 pandas 以進行進一步分析。

問題是當我運行下面的代碼時出現以下錯誤。

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

我的代碼：

from office365.runtime.auth.authentication_context import AuthenticationContext
from office365.sharepoint.client_context import ClientContext
from office365.sharepoint.file import File 

url = 'https://companyname.sharepoint.com/SitePages/Home.aspx'
username = 'fakeaccount@company.com'
password = 'password!'
relative_url = '/Shared%20Documents/Folder%20Number1/Folder%20Number2/Folder3/Folder%20Number%Four/Target_Excel_File_v4.xlsx?d=w8f97c2341898_random_numbers_and_letters_a065c12cbcsf=1&e=KXoU4s'


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()
  #this gives me a KeyError: 'Title'
  #print("Web title: {0}".format(web.properties['Title']))
  print('Authentication Successful')
else:
  print(ctx_auth.get_last_error())


import io
import pandas as pd

response = File.open_binary(ctx, relative_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 file into pandas dataframe
df = pd.read_excel(bytes_file_obj)

print(df)

Answer 1

對於那些在這個問題上像我一樣結束的人，我發現必須將完整的 URL 指向File ，而不僅僅是路徑：

#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)

Answer 2

也許值得注意的是，官方存儲庫中包含許多關於共享點、驅動器和團隊的常見操作的示例。

安裝注意事項一：

pip 安裝 Office365-REST-Python-Client

還有一個office365包，但上面的似乎是正確的，請在此處輸入鏈接描述

Answer 3

我知道這是 2-3 年之后，但也許有人會知道。 我正在使用這段代碼：

from office365.runtime.auth.authentication_context import AuthenticationContext
from office365.sharepoint.client_context import ClientContext
from office365.sharepoint.files.file import File
import pandas as pd
import io
url = 'some link to sharepoint'
username = 'mail'
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, sheet_name = None, engine='openpyxl')
print(df)

我有錯誤

zipfile.BadZipFile: File is not a zip file

我找不到任何方法來解決這個問題。 也許你們中有人知道如何弄清楚？

Answer 4

以下適用於客戶端 ID 和密碼（庫：Office365）

# Credential to connect to your SP Site
SITE_URL ='https://XXXXXX.sharepoint.com/sites/yoursitename'
CLIENT_ID = 'xxxxxxxx-xxx-xxxx-xxxxxxxxxxxxxxxxx'
CLIENT_SECRET= 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'

# Establish the connection
context = ClientContext(SITE_URL).with_credentials(ClientCredential(CLIENT_ID, CLIENT_SECRET))

response = File.open_binary(context, '/'.join(['/sites/yoursitename/Shared Documents/Work/OnlyFolderName', 
                                           'yourfilename.xlsx']))


df = pd.read_excel(io.BytesIO(response.content))