保留列名，并通过使用与输入列相同的名称来避免添加额外的列：changedTypedf = joindf.withColumn("show"...
fromdatetimeimportdatetime,dateimportpandasaspdfrompyspark.sqlimportRowdf=spark.createDataFrame([Row(a=1,b=2.,c='string1',d=date(2000,1,1),e=datetime(2000,1,1,12,0)),Row(a=2,b=3.,c='string2',d=date(2000,2,1),e=datetime(2000,1,2,12,0)),Row(a=4,b=5.,c='string3',d=...
Spark需要提前指定好特征名称和特征类型,构建空的DataFrame,可以借助emptyRDD(),代码如下: from pyspark.sql.types import StructType, StructField, LongType, StringType data_schema = StructType([ StructField('id', LongType()), StructField('type', StringType()), ]) df = spark.createDataFrame(spark....
DataFrame.createGlobalTempView 是 PySpark 中 DataFrame 对象的方法之一。它用于创建一个全局临时视图。具体来说,createGlobalTempView 方法将当前 DataFrame 对象注册为一个全局临时视图。全局临时视图是一个在整个 Spark 应用程序中可见的、命名的逻辑表,可以基于该视图执行 SQL 查询。这个方法的作用是将 DataFrame 转换...
创建不输入schema格式的DataFramefrom datetime import datetime, date import pandas as pd from pyspark.sql import Row df = spark.createDataFrame([ Row(a=1, b=2., c='string1', d=date(2000, 1, 1), e=datetime(2000, 1, 1, 12, 0)), Row(a=2, b=3., c='string2', d=date(2000,...
基于rdd和StructType创建DataFrame frompyspark.sql.typesimport* a = [('Alice',1)] rdd = sc.parallelize(a) schema = StructType( [ StructField("name", StringType(),True), StructField("age", IntegerType(),True) ] ) output = spark.createDataFrame(rdd, schema).collect()print(output)# [Row...
初始的DataFrame: frompyspark.sql.types import StructType, StructField schema= StructType([StructField("uuid",IntegerType(),True),StructField("test_123",ArrayType(StringType(),True),True)]) rdd= sc.parallelize([[1, ["test","test2","test3"]], [2, ["test4","test","test6"]],[3,[...
from pyspark.sql import SparkSession from pyspark.sql.types import StringType, ArrayType from pyspark.sql.functions import col 创建一个SparkSession对象: 代码语言:txt 复制 spark = SparkSession.builder.getOrCreate() 定义一个列表,其中包含要添加到DataFrame的数据: 代码语言:txt 复制 data = [(...
frompyspark.sqlimportSparkSession spark=SparkSession \.builder \.appName('my_first_app_name')\.getOrCreate() 2. 创建dataframe 2.1. 从变量创建 # 生成以逗号分隔的数据stringCSVRDD=spark.sparkContext.parallelize([(123,"Katie",19,"brown"),(234,"Michael",22,"green"),(345,"Simone",23,"blue...
|-- Category: string (nullable = true) |-- ID: long (nullable = true) |-- Value: double (nullable = true) 2、使用lit 函数添加常量列 函数lit 可用于向DataFrame添加具有常数值的列。 from datetime import date from pyspark.sql.functions import lit ...