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

Question

I am downloading files from One Drive with the following piece of code:

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)

The code is from: This post here

The "File" is coming from One Drive with the use of the following code:

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})

The "File" which is getting downloaded is in the form of "io.BufferedWriter". I want to actually load the "File" as a data frame so that I can do certain operations on that and upload it to AWS.

How can I do that, please help.

Thanks

Answer 1

As explained in the comments, the type of File is mostly irrelevant. All you need to do is read the excel directly from the response, as in:

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

The last statement produces a regular pandas dataframe. You can use that however you want.