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i'm the newbie of pyspark, just known the most easiest operation of it. and my english is very bad, sorry, i can't descripe it very detail, the following is the sample! thanks for your answers

  • dataframe like this:
| name | id | flag | cnt | | li | 19196 | true | 10 | | li | 19196 | false | 15 |
  • i want to convert it to:
| name | id | flag_true | flag_false | | li | 19196 | 10 | 15 |
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You can use a pivot table for that:

df.groupBy(['name', 'id'])\ .pivot('flag')\ .agg(f.sum('cnt'))\ .withColumnRenamed('true', 'flag_true')\ .withColumnRenamed('false', 'flag_false')\ .show()

That prints:

+----+-----+----------+---------+ |name| id|flag_false|flag_true| +----+-----+----------+---------+ | li|19196| 15| 10| +----+-----+----------+---------+
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