在PySpark中,explode函数用于将DataFrame中的数组或映射(Map)列拆分为多行。每个数组元素或映射键值对都会变成单独的一行,同时保留其他列的值。 explode函数的基本用法 语法: python df.withColumn("new_column", explode(col("array_column"))) 或者 python df.select(explode(col("array_column")).as("new_co...
createDataFrame(data, ["ID", "Info"]) df.show() Python Copy接下来,我们可以使用 “explode” 函数来展开 “Info” 列中的字典:from pyspark.sql.functions import explode df_exploded = df.select("ID", explode("Info").alias("Exploded")) df_exploded.show() Python Copy...
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=...
要使用的示例数据框: 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, po...
我想将包含值列表的考拉列分解为多个列。当我试图使用df.explode()作为文档化的时,我得到了AttributeError: 'DataFrame' object has no attribute 'explode'。我知道Koalas是一个相对较新的API,现在还不支持explode()吗? 浏览49提问于2020-03-09得票数 0 回答已采纳 2回答 星星之火和无尾熊之间有什么区别? 、...
Python pyspark DataFrame.explode用法及代码示例本文简要介绍 pyspark.pandas.DataFrame.explode 的用法。用法:DataFrame.explode(column: Union[Any, Tuple[Any, …]]) → pyspark.pandas.frame.DataFrame将类似列表的每个元素转换为一行,复制索引值。参数: column:字符串或元组 要爆炸的列。 返回: DataFrame 分解列表...
我有一个pyspark方法,它对Dataframe上的每个数组列应用explode函数。 def explode_column(df, column): select_cols = list(df.columns) col_position = select_cols.index(column) select_cols[col_position] = explode_outer(column).alias(column) return df.select(select_cols) def explode_all_arrays(df)...
from pyspark.sql.functions import explode df2 = data_frame.select(data_frame.name,explode(data_frame.subjectandID)) df2.printSchema() Df_inner:The Final data frame formed Screenshot: Working of Explode in PySpark with Example Let us see some Example of how EXPLODE operation works:- ...
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Problem: How to explode & flatten nested array (Array of Array) DataFrame columns into rows using PySpark. Solution: PySpark explode function can be