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[SPARK-11690][PYSPARK] Add pivot to python api #9653

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[SPARK-11690][PYSPARK] Add pivot to python api #9653

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24 changes: 23 additions & 1 deletion python/pyspark/sql/group.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,7 @@

from pyspark import since
from pyspark.rdd import ignore_unicode_prefix
from pyspark.sql.column import Column, _to_seq
from pyspark.sql.column import Column, _to_seq, _to_java_column, _create_column_from_literal
from pyspark.sql.dataframe import DataFrame
from pyspark.sql.types import *

Expand Down Expand Up @@ -167,6 +167,23 @@ def sum(self, *cols):
[Row(sum(age)=7, sum(height)=165)]
"""

@since(1.6)
def pivot(self, pivot_col, *values):
"""Pivots a column of the current DataFrame and preform the specified aggregation.

:param pivot_col: Column to pivot
:param values: Optional list of values of pivotColumn that will be translated to columns in
the output data frame. If values are not provided the method with do an immediate call
to .distinct() on the pivot column.
>>> df4.groupBy("year").pivot("course", "dotNET", "Java").sum("earnings").collect()
[Row(year=2012, dotNET=15000, Java=20000), Row(year=2013, dotNET=48000, Java=30000)]
>>> df4.groupBy("year").pivot("course").sum("earnings").collect()
[Row(year=2012, Java=20000, dotNET=15000), Row(year=2013, Java=30000, dotNET=48000)]
"""
jgd = self._jdf.pivot(_to_java_column(pivot_col),
_to_seq(self.sql_ctx._sc, values, _create_column_from_literal))
return GroupedData(jgd, self.sql_ctx)


def _test():
import doctest
Expand All @@ -182,6 +199,11 @@ def _test():
StructField('name', StringType())]))
globs['df3'] = sc.parallelize([Row(name='Alice', age=2, height=80),
Row(name='Bob', age=5, height=85)]).toDF()
globs['df4'] = sc.parallelize([Row(course="dotNET", year=2012, earnings=10000),
Row(course="Java", year=2012, earnings=20000),
Row(course="dotNET", year=2012, earnings=5000),
Row(course="dotNET", year=2013, earnings=48000),
Row(course="Java", year=2013, earnings=30000)]).toDF()

(failure_count, test_count) = doctest.testmod(
pyspark.sql.group, globs=globs,
Expand Down