如何将 'io.BufferedWriter' 转换为 'Dataframe' - Python

Question

我正在使用以下代码从 One Drive 下载文件：


if response.status_code == 200:
    print('\n> Response Success')

    with open('Book2.xlsx', 'wb') as File:
        File.write(response.content)
        
        print('\n> File Downloaded')
else:
    print('\n> Failed:', response.status_code)
    print(response.content)

代码来自：

“文件”来自 One Drive，使用以下代码：


import sys, os, time, requests
import pandas as pd
import urllib.parse

OneDrive_FilePath = 'Book2.xlsx'

OneDrive_FileURL = 'https://graph.microsoft.com/v1.0/me/drive/root:/' + OneDrive_FilePath + ':/content'
OneDrive_FileURL = urllib.parse.quote(OneDrive_FileURL, safe=':/')
print(OneDrive_FileURL)

Client_Id = 'XXXX'
Tenant_Id = 'YYYYY'
Refresh_Token_First = 'ZZZZZ'

PostStr = {'grant_type': 'refresh_token', 'client_id': Client_Id, 'refresh_token': Refresh_Token_First}

Token_Response = requests.post('https://login.microsoftonline.com/' + Tenant_Id + '/oauth2/v2.0/token', data=PostStr)

Access_Token = Token_Response.json()['access_token']
New_Refresh_Token = Token_Response.json()['refresh_token']

if Access_Token is None or New_Refresh_Token is None:
    print('\n> Failed: Access_Token NOT Retrieved')
    sys.exit()

Response = requests.get(OneDrive_FileURL, headers={'Authorization': 'Bearer ' + Access_Token})

正在下载的“文件”格式为“io.BufferedWriter”。我想实际加载“文件”作为数据框，以便我可以对其执行某些操作并将其上传到 AWS。

我该怎么做，请帮忙。

谢谢

Answer 1

正如评论中所解释的，File 的类型大多是无关紧要的。您需要做的就是直接从响应中读取 excel，如 :

url = "https://go.microsoft.com/fwlink/?LinkID=521962"
res = requests.get(url)
pd.read_excel(res.content)

最后一条语句生成一个常规的 pandas 数据帧。你可以随心所欲地使用它。

如何将 'io.BufferedWriter' 转换为 'Dataframe' - Python

How to convert 'io.BufferedWriter' to 'Dataframe' - Python

python

python-3.x

dataframe

bufferedwriter