具体使用groupby和aggregate将pyspark DataFrame中的行与多列连接起来的步骤如下: 首先,导入必要的库和模块: 代码语言:txt 复制 from pyspark.sql import SparkSession from pyspark.sql.functions import col 创建SparkSession对象: 代码语言:txt 复制 spark = SparkSession.builder.appName("Dat...
DataFrame:当使用多个函数调用DataFrame.agg时 返回系列或数据帧。注意:agg 是aggregate 的别名。使用别名。例子:>>> df = ps.DataFrame({'A': [1, 1, 2, 2], ... 'B': [1, 2, 3, 4], ... 'C': [0.362, 0.227, 1.267, -0.562]}, ... columns=['A', 'B', 'C'])>...
An aggregate is a function where the values of multiple rows are grouped to form a single summary value. Below are some of the aggregate functions supported by Pandas usingDataFrame.aggregate(),Series.aggregate(), andDataFrameGroupBy.aggregate(). Pandas Aggregate Functions 1. Aggregate Functions Syn...