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@katukourei(ゲゲ かか)

jupyter notebookクラシングの解決策

Last updated at Posted at 2021-09-10

jupyter　notebookを大容量なデータをprintしパナしすると、メモリオーバになって、Webページがクラッシュする問題について

IOPub data rate exceeded.
The notebook server will temporarily stop sending output
to the client in order to avoid crashing it.
To change this limit, set the config variable
--NotebookApp.iopub_data_rate_limit.

解決策１　
jupyter notebook --NotebookApp.iopub_data_rate_limit=1e10

jupyter-lab --NotebookApp.iopub_data_rate_limit=1e10

解決策２
vi /root/.jupyter/jupyter_notebook_config.py　を開いて、以下の設定を変更
c.NotebookApp.iopub_data_rate_limit = 100000000

＊＊一番重要なポイント
大きいサイズの行列をprintしパナっしないこと

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