Solution: PySpark explode function can be used to explode an Array of Array (nested Array)ArrayType(ArrayType(StringType))columns to rows on PySpark DataFrame using python example. Before we start, let’s create a DataFrame with a nested array column. From below example column “subjects” is...
PYSPARK EXPLODE is an Explode function that is used in the PySpark data model to explode an array or map-related columns to row in PySpark. It explodes the columns and separates them not a new row in PySpark. It returns a new row for each element in an array or map. It takes the co...
Pyspark中的Explode Array和许多子数组由于没有预期的输入和预期的输出，也不清楚到目前为止你尝试了什么...
Pyspark中的Explode Array和许多子数组由于没有预期的输入和预期的输出，也不清楚到目前为止你尝试了什么...
Source File: dataset_utils.py From mmtf-pyspark with Apache License 2.0 6 votes def flatten_dataset(dataset: DataFrame): tmp = dataset for field in tmp.schema.fields: if isinstance(field.dataType, ArrayType): print(field.name, field.dataType) tmp = tmp.withColumn(field.name, explode(tmp...
You can useDataFrame.explode()function to convert each element of the specified single column"A"into a row (each value in a list becomes a row). This turns every element of the listAinto a row. If the array-like is empty, the empty lists will be expanded into aNaNvalue. ...