用法: pyspark.sql.functions.explode_outer(col) 为给定数组或映射中的每个元素返回一个新行。与explode 不同,如果数组/映射为null 或为空,则生成null。除非另有说明,否则对数组中的元素使用默认列名col,对映射中的元素使用默认列名key和value。 2.3.0 版中的新函数。 例子: >>>df = spark.createDataFrame(....
from pyspark.sql.functions import explode, first, col, monotonically_increasing_id from pyspark.sql import Row df = spark.createDataFrame([ Row(dataCells=[Row(posx=0, posy=1, posz=.5, value=1.5, shape=[Row(_type='square', _len=1)]), Row(posx=1, posy=3, posz=.5, value=4.5,...
explode()与split() #对某列的数据以固定的分隔符进行分隔,并新增一列 AI检测代码解析 from pyspark.sql import functions as F df11 = df.select("Contract") df11.withColumn("Contract_d",F.explode(F.split(df11.Contract,"-"))).show(5) 1. 2. 3. 对于分隔符不唯一的会造成这种情况。 3.2.4统计...
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复杂联接(Pyspark)-范围和分类when ((d1.{rf} is not null) and (tab2_cat_values==array()) ...
explode()与split() #对某列的数据以固定的分隔符进行分隔,并新增一列 from pyspark.sql import functions as F df11 = df.select("Contract") df11.withColumn("Contract_d",F.explode(F.split(df11.Contract,"-"))).show(5) 对于分隔符不唯一的会造成这种情况。
Returns this column aliased with a new name or names (in the case of expressions that return more than one column, such as explode). Parameters:alias –strings of desired column names (collects all positional arguments passed) metadata –a dict of information to be stored in metadata attribute...