aimtsou commented on PR #37817:
URL: https://github.com/apache/spark/pull/37817#issuecomment-1444515612

   @srowen: Although this is causing an issue:
   
   If you try to build your own docker image of Spark including pyspark while 
trying to be compliant with Databricks you will observe that Databricks Runtime 
12.1 and 12.2(which is currently in beta), both support officially until Spark 
3.3.1 (while current version is 3.3.2). 
   
   Actually all of the LTS versions in the [support 
matrix](https://docs.databricks.com/release-notes/runtime/releases.html) are 
not EOLed and since numpy 1.20.0 was released in 01/2021, which means that most 
spark compliant versions carry this bug. If you try to use Pandas by using 
toPandas() you end up with the numpy error, consequently being blocked from 
upgrading your spark versions. 
   
   Is there any chance of back-porting this commit into previous pyspark 
versions?


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