这里不需要UDF。列已提供cast方法和datatype实例: frompyspark.sql.typesimportDoubleType changedTypedf = joindf.withColumn("label", joindf["show"].cast(DoubleType())) 或短字符串: changedTypedf = joindf.withColumn("label", joind
%%pysparkfrompyspark.sql.functions import col,when data_path=spark.read.load('abfss://filesystemdatalake@mystorage.dfs.core.windows.net/test/filetest.snappy.parquet',format='parquet')#here we handle the NaN valuesdata_path=data_path.replace(float('nan'),None)data_...
Dear All, I have developed a notebook [pyspark] code in azure synapse and try to use this in pipeline and running from there. Notebook is running fine from develop section but from pipeline i am getting below error "code":"BadRequest","message":"ErrorCode=Invalid...