In order to remove Rows with NULL values on selected columns of PySpark DataFrame, use drop(columns:Seq[String]) or drop(columns:Array[String]). To these functions pass the names of the columns you wanted to check for NULL values to delete rows. ...
常用的ArrayType类型列操作: array(将两个表合并成array)、array_contains、array_distinct、array_except(两个array的差集)、array_intersect(两个array的交集不去重)、array_join、array_max、array_min、array_position(返回指定元素在array中的索引,索引值从1开始,若不存在则返回0)、array_remove、array_repeat、a...
from pyspark.sql.functions import asc, desc_nulls_last expressions = dict(horsepower="avg", weight="max", displacement="max") orderings = [ desc_nulls_last("max(displacement)"), desc_nulls_last("avg(horsepower)"), asc("max(weight)"), ] df = auto_df.groupBy("modelyear").agg(express...
from pyspark.sql.functions import asc, desc_nulls_last expressions = dict(horsepower="avg", weight="max", displacement="max") orderings = [ desc_nulls_last("max(displacement)"), desc_nulls_last("avg(horsepower)"), asc("max(weight)"), ] df = auto_df.groupBy("modelyear").agg(express...
.array_distinct('my_array'))# Map over & transform array elements – F.transform(col, func: col -> col)df=df.withColumn('elem_ids',F.transform(F.col('my_array'),lambdax:x.getField('id')))# Return a row per array element – F.explode(col)df=df.select(F.explode('my_array')...