在Pyspark中转置数据框

如何在Pyspark中转置以下数据框？

想法是实现下面显示的结果。

import pandas as pd

d = {'id' : pd.Series([1, 1, 1, 2, 2, 2, 3, 3, 3], index=['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i']),

 'place' : pd.Series(['A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A'], index=['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i']),
 'value' : pd.Series([10, 30, 20, 10, 30, 20, 10, 30, 20], index=['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i']),
 'attribute' : pd.Series(['size', 'height', 'weigth', 'size', 'height', 'weigth','size', 'height', 'weigth'], index=['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i'])}

id place value attribute
a 1 A 10 size
b 1 A 30 height
c 1 A 20 weigth
d 2 A 10 size
e 2 A 30 height
f 2 A 20 weigth
g 3 A 10 size
h 3 A 30 height
i 3 A 20 weigth

d = {'id' : pd.Series([1, 2, 3], index=['a', 'b', 'c']),

 'place' : pd.Series(['A', 'A', 'A'], index=['a', 'b', 'c']),
 'size' : pd.Series([10, 30, 20], index=['a', 'b', 'c']),
 'height' : pd.Series([10, 30, 20], index=['a', 'b', 'c']),
 'weigth' : pd.Series([10, 30, 20], index=['a', 'b', 'c'])}

df = pd.DataFrame(d)
print(df)

id place size height weigth
a 1 A 10 10 10
b 2 A 30 30 30
c 3 A 20 20 20