如何在 PySpark 数据帧的第 0 轴上找到数组数组列的平均值?

如何解决如何在 PySpark 数据帧的第 0 轴上找到数组数组列的平均值?

我有一个 PySpark 数据框-

df = spark.createDataFrame([
    ("u1",[[1.,2.,3.],[1.,0.],0.,0.]]),("u2",10.,("u3",[10.,],['user_id','features'])

print(df.printSchema())
df.show(truncate=False)

输出-

root
 |-- user_id: string (nullable = true)
 |-- features: array (nullable = true)
 |    |-- element: array (containsNull = true)
 |    |    |-- element: double (containsNull = true)

None
+-------+---------------------------------------------------+
|user_id|features                                           |
+-------+---------------------------------------------------+
|u1     |[[1.0,2.0,3.0],[1.0,0.0],0.0,0.0]]|
|u2     |[[1.0,10.0,0.0]]                                 |
|u3     |[[1.0,[10.0,0.0]]                    |
+-------+---------------------------------------------------+

我想计算第 0 轴上每个用户的这些数组的平均值。所需的输出看起来像-

+-------+---------------------------------------------------+----------------+
|user_id|features                                           |avg_features    |
+-------+---------------------------------------------------+----------------+
|u1     |[[1.0,0.0]]|[1.0,1.33,1.0]|
|u2     |[[1.0,0.0]]                                 |[1.0,0.0]|
|u3     |[[1.0,0.0]]                |[5.5,1.5]|
+-------+---------------------------------------------------+----------------+

我如何实现这一目标?

解决方法

编辑:更具可扩展性的解决方案:

src

使用 import pyspark.sql.functions as F df2 = df.withColumn( 'exploded_features',F.explode('features') ).select( 'user_id','features',F.posexplode('exploded_features') ).groupBy( 'user_id','pos' ).agg( F.mean('col') ).groupBy( 'user_id','features' ).agg( F.array_sort( F.collect_list( F.array('pos','avg(col)') ) ).alias('avg_features') ).withColumn( 'avg_features',F.expr('transform(avg_features,x -> x[1])') ) df2.show(truncate=False) +-------+---------------------------------------------------+------------------------------+ |user_id|features |avg_features | +-------+---------------------------------------------------+------------------------------+ |u1 |[[1.0,2.0,3.0],[1.0,0.0],0.0,0.0]]|[1.0,1.3333333333333333,1.0]| |u2 |[[1.0,10.0,0.0]] |[1.0,0.0] | |u3 |[[1.0,[10.0,0.0]] |[5.5,1.5] | +-------+---------------------------------------------------+------------------------------+ aggregate 对数组进行操作:

transform

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