codesorcery commented on PR #47175: URL: https://github.com/apache/spark/pull/47175#issuecomment-2482309328
@anthonycroft There is no RC of Pyspark 4 yet, there are only preview releases for feedback on the current development state. The first RC is currently planned for February 15th 2025 (see Spark 4.0 release window on https://spark.apache.org/versioning-policy.html). Until then, it's best to limit `numpy < 2` when using PySpark. For JupyterLab, running `%pip install numpy<2` in a notebook cell should do the trick. Since you're using JupyterLab Desktop, you might also want to read https://github.com/jupyterlab/jupyterlab-desktop/blob/master/python-env-management.md -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
