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Pyspark – How to merge multiple dataframes based on conditions on column and on the value of a column?
I have three data frames like this, (the # of rows is not even the same in all):
+———-+—————+—+—+
|Name |Country |M |B |
+———-+—————+—+—+
|John Smith|US |1 |2 |
|John Smith|US |3 |4 |
|John Smith|UK |5 |6 |
|John Smith|UK |7 |8 |
|Mary |CA |9 |10 |
|Mary |US |11 |12 |
|Mary |US |13 |14 |
|Mary |CA |15 |16 |
+———-+—————+—+—+
I want to merge the data frame that are
John Smith (both US and UK in Country column)
into two data frames, one with the US values and the other with the UK values, so that it ends up like this:
+—————
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