pyspark dataframe Column alias 重命名列(name) df = spark.createDataFrame( [(2, "Alice"), (5, "Bob")], ["age", "name"])df.select(df.age.alias("age2")).show()+----+|age2|+----+| 2|| 5|+----+ astype alias cast 修改列类型
from pyspark.sql import SparkSession # 创建SparkSession对象 spark = SparkSession.builder.getOrCreate() # 创建示例DataFrame data = [("Alice", 25), ("Bob", 30), ("Charlie", 35)] df = spark.createDataFrame(data, ["Name", "Age"]) # 添加新列 df_with_new_column = df.withColumn("Gen...
在PySpark 中绘制一个简单的数据框(DataFrame)通常涉及以下几个步骤: ### 基础概念 PySpark 是 Apache Spark 的 Python API,它允许你在分布式集群...
1、 agg(expers:column*) 返回dataframe类型 ,同数学计算求值 df.agg(max("age"), avg("salary")) df.groupBy().agg(max("age"), avg("salary")) 2、 agg(exprs: Map[String, String]) 返回dataframe类型 ,同数学计算求值 map类型的 df.agg(Map("age" -> "max", "salary" -> "avg")) df....
select(add_months(df.d,1).alias('d')).collect() [Row(d=datetime.date(2015, 5, 8))] 4.pyspark.sql.functions.array_contains(col, value) 集合函数:如果数组包含给定值,则返回True。收集元素和值必须是相同的类型。 >>> df = sqlContext.createDataFrame([(["a", "b", "c"],), ([]...
2.2 构造DataFrame 使用createDataFrame构建DataFrame createDataFrame()可以将像List型的数据转变为DataFrame,也可以将RDD转化成DataFrame。 from pyspark.sql import SparkSession from pyspark.sql.types import * import pandas as pd from pyspark.sql import Row ...
# subset:指定用于去重的列,列字符串或列list# keep: first代表去重后保存第一次出现的行# inplace: 是否在原有的dataframe基础上修改df.drop_duplicates(subset=None,keep='first',inplace=False) 聚合 pyspark df.groupBy('group_name_c2').agg(F.UserDefinedFunction(lambdaobj:'|'.join(obj))(F.collect...
PySpark Replace Column Values in DataFrame Pyspark 字段|列数据[正则]替换 转载:[Reprint]:https://sparkbyexamples.com/pyspark/pyspark-replace-column-values/#:~:text=By using PySpark SQL function regexp_replace () you,value with Road string on address column. 2. ...
In PySpark, we can drop one or more columns from a DataFrame using the .drop("column_name") method for a single column or .drop(["column1", "column2", ...]) for multiple columns.
Find/replace all from pyspark.sql with from sqlglot.dataframe. - Prior to any spark.read.table or spark.table run sqlglot.schema.add_table('', <column_structure>, dialect="spark"). - - The column structure can be defined the following ways: - - Dictionary where the keys are column na...