类型错误：凭据需要来自 oauth2client 或 google-auth

Question

我是 python 新手，目前正在开发一个项目，该项目要求我将 pandas 数据帧从 google collab 导出到具有多个选项卡的 google 电子表格。以前，当我运行此特定代码时，没有错误，但现在它显示如下错误：

    TypeError                                 Traceback (most recent call last)
<ipython-input-74-c8b829c43616> in <module>()
      5 gauth.credentials = GoogleCredentials.get_application_default()
      6 drive = GoogleDrive(gauth)
----> 7 gc = gspread.authorize(GoogleCredentials.get_application_default())

2 frames
/usr/local/lib/python3.7/dist-packages/gspread/utils.py in convert_credentials(credentials)
     59 
     60     raise TypeError(
---> 61         'Credentials need to be from either oauth2client or from google-auth.'
     62     )
     63 

TypeError: Credentials need to be from either oauth2client or from google-auth.

这是我用来创建身份验证的代码。

#Import PyDrive and associated libraries.
#This only needs to be done once per notebook.

from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
from google.colab import auth
from oauth2client.client import GoogleCredentials
import gspread

#Authenticate and create the PyDrive client.
#This only needs to be done once per notebook.
auth.authenticate_user()
gauth = GoogleAuth()
gauth.credentials = GoogleCredentials.get_application_default()
drive = GoogleDrive(gauth)
gc = gspread.authorize(GoogleCredentials.get_application_default())

任何帮助将非常感激。

Answer 1

我今天遇到了同样的问题，找到了这个答案：https ://github.com/burnash/gspread/issues/1014#issuecomment-1082536016

我最终通过用以下代码替换旧代码解决了这个问题：

from google.colab import auth
auth.authenticate_user()

import gspread
from google.auth import default
creds, _ = default()

gc = gspread.authorize(creds)