frompyspark.sqlimportSparkSessionfrompyspark.sql.functionsimportexplode,col# 创建 SparkSessionspark=SparkSession.builder.appName("Explode Example").getOrCreate()# 示例数据data=[(1,"Alice",["Reading","Traveling"]),(2,"Bob",["Music","Cooking"]),(3,"Charlie",["Sports"])]# 创建 DataFramedf=...
df = df.select(flat_cols + [col(sc + '.' + c).alias(sc + '_' + c) for sc in struct_columns for c in df.select(sc + '.*').columns]) return df 架构如下所示: df.printSchema() root |-- dataCells: array (nullable = true) | |-- element: struct (containsNull = true) ...
import pandas as pd 但是熊猫无法读懂它,并抛出了下面的错误。pyspark.pandas as ps 实际上,上面的查询在将pyspark.pandas数据转 浏览0提问于2022-08-16得票数 0 回答已采纳 1回答 TypeError:“模块”对象不能在考拉数据上被调用 、、、 我正面临一个小问题,我正在从熊猫转换成考拉的代码行。input_data['t_...
如何在Pyspark中使用“explode”从数组中提取选定的元素使用explode并从结构体中提取您感兴趣的值似乎可以...
|-- col: array (nullable = true) | |-- element: string (containsNull = true) The schema shows the col being exploded into rows and the analysis of output shows the column name to be changed into the row in PySpark. This makes the data access and processing easier and we can do dat...
Problem: How to explode & flatten nested array (Array of Array) DataFrame columns into rows using PySpark. Solution: PySpark explode function can be
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...
for f in exploded_df.schema.fields: if isinstance(f.dataType, ArrayType): print(f"Exploding: {f}") still_has_arrays = True exploded_df = explode_column(exploded_df, f.name) return exploded_df 当我有少量的列要分解时,它可以很好地工作,但是在大的Dataframe上(大约200列,大约40次分解),在完...
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. ...