pyspark
Pyspark: how to filter rows for multiple criteria?
Say i have a dataset such as this
| game_name | developer_name |
| -------- | -------------- |
| X | John |
| Y | Mark |[![enter image description here][2]][2]
| X | Mark |
| Z | John |
| Y | John|
How do i find the list of all game_name s that two developers both worked on (eg:all game names that both John and Mark worked on)?
Solution
groupby the game_name col and then list the developer_name column
df.groupby(['game_name'])['developer_name'].apply(list).reset_index()
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