'How to merge all row values into a single column value based on column partition in PySpark Dataframe
Say I have a dataframe as below : DF :
**Name | Fruits| **
Jon | Apple|
Joseph | Orange|
Mark | Apple|
Jon | Orange|
Jim | Apple|
Expected Output :
**Name | Fruits **
Jon,Mark,Jim| Apple |
Jon, Joseph | Orange|
How can I merge all of them based on partitioning Fruits.
Can anyone help on how this can be achieved?
Sources
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Source: Stack Overflow
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