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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/03/28 04:54:19 UTC

[GitHub] [spark] HyukjinKwon commented on issue #24234: [WIP][SPARK_26022][PYTHON][DOCS] PySpark Comparison with Pandas

HyukjinKwon commented on issue #24234: [WIP][SPARK_26022][PYTHON][DOCS] PySpark Comparison with Pandas
URL: https://github.com/apache/spark/pull/24234#issuecomment-477447661
 
 
   Hi, @gatorsmile, @BryanCutler, @ueshin, @rxin, @viirya, @thunterdb 
   
   I realised the difference is too vast so I kind of tried to narrow down it to:
   
   1. Describing fundamental differences
   2. Common DataFrame related API usages
   3. Notable differences.
   
   Few concerns from me are:
   
   - This has to describe both in details to compare, which can be change soon in both Pandas and PySpark. I tried to avoid those details that can be changed soon.
   - Since it is comparison, it's very easy for me to be biased onto one side. I tired to avoid this too at my best.
   - It's too vast to compare. High level, both are similar; however, in details, so many stuff are different, completely.

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