Python

Question

在 Python 中，我正在利用 Office 365 REST Python Client library 访问和阅读包含许多 sheet 的 excel 工作簿。

虽然身份验证成功，我无法将 sheet 名称的正确路径附加到文件名 以访问第一个或第二个作品sheet，这就是为什么 sheet 的 输出不是 JSON，而是我的代码无法处理的 IO 字节。

我的最终目标是简单地通过名称 'employee_list' 访问特定工作 sheet 并将其转换为 JSON 或 Pandas 数据框以供进一步使用。

下面的代码片段 -

import io
import json
import pandas as pd
from office365.runtime.auth.authentication_context import AuthenticationContext
from office365.runtime.auth.user_credential import UserCredential
from office365.runtime.http.request_options import RequestOptions
from office365.sharepoint.client_context import ClientContext
from office365.sharepoint.files.file import File
from io import BytesIO


username = 'abc@a.com'
password = 'abcd'
site_url = 'https://sample.sharepoint.com/sites/SAMPLE/_layouts/15/Doc.aspx?OR=teams&action=edit&sourcedoc={739271873}'      
# HOW TO ACCESS WORKSHEET BY ITS NAME IN ABOVE LINE

ctx = ClientContext(site_url).with_credentials(UserCredential(username, password))
request = RequestOptions("{0}/_api/web/".format(site_url))
response = ctx.execute_request_direct(request)
json_data = json.loads(response.content) # ERROR ENCOUNTERED JSON DECODE ERROR SINCE DATA IS IN BYTES

Answer 1

可以通过sheet索引访问，查看以下代码....

import xlrd
  
loc = ("File location") 

wb = xlrd.open_workbook(loc) 
sheet = wb.sheet_by_index(0) 

# For row 0 and column 0 
print(sheet.cell_value(1, 0))

Answer 2

您可以尝试将组件 'sheetname' 添加到 url 中。

https://site/lib/workbook.xlsx#'Sheet1'!A1

Answer 3

似乎 URL 构造来访问数据是不正确的。您应该在浏览器中测试完整的 URL 是否正常工作，然后修改代码以开始运行。你可以尝试做一些改变，我已经验证了用这个逻辑形成的 URL 会 return JSON data.

import io
import json
import pandas as pd
from office365.runtime.auth.authentication_context import AuthenticationContext
from office365.runtime.auth.user_credential import UserCredential
from office365.runtime.http.request_options import RequestOptions
from office365.sharepoint.client_context import ClientContext
from office365.sharepoint.files.file import File
from io import BytesIO


username = 'abc@a.com'
password = 'abcd'
site_url = 'https://sample.sharepoint.com/_vti_bin/ExcelRest.aspx/RootFolder/ExcelFileName.xlsx/Model/Ranges('employee_list!A1%7CA10')?$format=json'      
# Replace RootFolder/ExcelFileName.xlsx with actual path of excel file from the root.
# Replace A1 and A10 with actual start and end of cell range.

ctx = ClientContext(site_url).with_credentials(UserCredential(username, password))
request = RequestOptions(site_url)
response = ctx.execute_request_direct(request)
json_data = json.loads(response.content)

来源：https://docs.microsoft.com/en-us/sharepoint/dev/general-development/sample-uri-for-excel-services-rest-api

Answer 4

我使用的更新 (Office365-REST-Python-Client==2.3.11) 允许更简单地访问 SharePoint 存储库中的 Excel 文件。

# from original_question import pd,\
#                               username,\
#                               password,\
#                               UserCredential,\
#                               File,\
#                               BytesIO

user_credentials = UserCredential(user_name=username, 
                                  password=password)

file_url = ('https://sample.sharepoint.com'
            '/sites/SAMPLE/{*recursive_folders}'
            '/sample_worksheet.xlsx') 
    ## absolute path of excel file on SharePoint

excel_file = BytesIO() 
    ## initiating binary object

excel_file_online = File.from_url(abs_url=file_url)
    ## requesting file from SharePoint

excel_file_online = excel_file_online.with_credentials(
    credentials=user_credentials)
        ## validating file with accessible credentials

excel_file_online.download(file_object=excel_file).execute_query()
    ## writing binary response of the 
    ## file request into bytes object

我们现在有一个名为 excel_file 的 Excel 文件的二进制副本 BytesIO。进步，阅读它作为 pd.DataFrame 是 straight-forward 就像通常存储在本地驱动器中的 Excel 文件一样。例如：

pd.read_excel(excel_file) # -> pd.DataFrame

因此，如果您对 'employee_list' 等特定 sheet 感兴趣，您最好将其阅读为

employee_list = pd.read_excel(excel_file,
                              sheet_name='employee_list')
    # -> pd.DataFrame

或

data = pd.read_excel(excel_file,
                     sheet_name=None) # -> dict
employee_list = data.get('employee_list') 
    # -> [pd.DataFrame, None]

Answer 5

我知道你说过你不能使用 BytesIO 对象，但是对于那些像我正在寻找的那样将文件作为 BytesIO 对象读入这里的人，你可以使用 sheet_name arg pd.read_excel:

    url = "https://sharepoint.site.com/sites/MySite/MySheet.xlsx"
    sheet_name = 'Sheet X'
    response = File.open_binary(ctx, relative_url)
    bytes_file_obj = io.BytesIO()
    bytes_file_obj.write(response.content)
    bytes_file_obj.seek(0)
    df = pd.read_excel(bytes_file_obj, sheet_name = sheet_name)  //call sheet name

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