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403 PUT /api/contents/[file.ipynb] (::1): '_xsrf' argument missing from POST, '_xsrf' argument missing from POST, 403 PUT /api/contents/[file.ipynb] (::1):, [file.ipynb] (::1): '_xsrf' argument missing from POST, 403 PUT /api/contents/[file.ipynb] (::1): '_xsrf' argument missing

[Solved] 403 PUT /api/contents/[file.ipynb] (::1): ‘_xsrf’ argument missing from POST

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Hello Guys, How are you all? Hope You all Are Fine. Today I am facing following error while running a script on jupyter notebooks 403 PUT /api/contents/file.ipynb: ‘_xsrf’ argument missing from POST in Python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

Contents
  1. How 403 PUT /api/contents/file.ipynb: ‘_xsrf’ argument missing from POST Error Occurs ?
  2. How To Solve 403 PUT /api/contents/file.ipynb: ‘_xsrf’ argument missing from POST Error ?
  3. Solution 1: refresh the browser
  4. Solution 2: Open notebook on the same kernel
  5. Summary

How 403 PUT /api/contents/file.ipynb: ‘_xsrf’ argument missing from POST Error Occurs ?

I am facing following error while running a script on jupyter notebooks.

403 PUT /api/contents/[file.ipynb] (::1): '_xsrf' argument missing from POST

How To Solve 403 PUT /api/contents/file.ipynb: ‘_xsrf’ argument missing from POST Error ?

  1. How To Solve 403 PUT /api/contents/file.ipynb: ‘_xsrf’ argument missing from POST Error ?

    To Solve 403 PUT /api/contents/file.ipynb: ‘_xsrf’ argument missing from POST Error Just Go to the /tree aka Jupyter home page and refresh the browser and Worked. Second Solution is Just open another notebook on the same kernel, and the issue is gone in my case.

  2. 403 PUT /api/contents/file.ipynb: ‘_xsrf’ argument missing from POST

    To Solve 403 PUT /api/contents/file.ipynb: ‘_xsrf’ argument missing from POST Error Just Go to the /tree aka Jupyter home page and refresh the browser and Worked. Second Solution is Just open another notebook on the same kernel, and the issue is gone in my case.

Solution 1: refresh the browser

Just Go to the /tree aka Jupyter home page and refresh the browser and Worked.

Solution 2: Open notebook on the same kernel

Just open another notebook on the same kernel, and the issue is gone in my case.

Summary

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you?

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