when(condition, value) Parameters: condition – 布尔Column表达式 value – 文字值或Column表达式 # 计算条件列表,并返回多个可能的结果表达式之一.如果otherwise()未调用,则为不匹配的条件返回None from pyspark.sql import functions as F >>> df.select(df.name, F.when(df.age > 4, 1).when(df.age <...
必须是已存在的列的名字 col —— 为这个新列的 Column 表达式。必须是含有列的表达式。如果不是它会报错 AssertionError: col should be Column (1)新增一列 # 列名可以是原有列,也可以是新列df.withColumn('page_count', df.page_count+100) df.withColumn('new_page_count', df.page_count+100) ...
when(condition, value1).otherwise(value2)联合使用: 那么:当满足条件condition的指赋值为values1,不满足条件的则赋值为values2. otherwise表示,不满足条件的情况下,应该赋值为啥。 demo1 >>> from pyspark.sql import functions as F >>> df.select(df.name, F.when(df.age > 4, 1).when(df.age < 3...
test("Should use immutable DF API") {importspark.sqlContext.implicits._ //given val userData = spark.sparkContext.makeRDD(List( UserData("a","1"), UserData("b","2"), UserData("d","200") )).toDF() 当我们希望引起您对代码块的特定部分的注意时,相关行或项目将以粗体显示: classImmutable...
root|--user_pin:string(nullable=true)|--a:string(nullable=true)|--b:string(nullable=true)|--c:string(nullable=true)|--d:string(nullable=true)|--e:string(nullable=true)... 如上图所示,只是打印出来。 去重set操作 代码语言:javascript ...
Extract data from a string using a regular expression Fill NULL values in specific columns Fill NULL values with column average Fill NULL values with group average Unpack a DataFrame's JSON column to a new DataFrame Query a JSON column Sorting and Searching Filter a column using a condition ...
This example prints the below output to the console. You should use&/|operators mare carefully and be careful aboutoperator precedence(==has lower precedence than bitwiseANDandOR) 3. Using Where to provide Join Condition Instead of using a join condition withjoin()operator, we can usewhere()to...
Yes, we can join on multiple columns. Joining on multiple columns involves more join conditions with multiple keys for matching the rows between the datasets.It can be achieved by passing a list of column names as the join condition when using the.join()method. ...
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9.24 pyspark.sql.functions.column(col):New in version 1.3. 根据给定的列名返回列。 In [518]: df3.select(column('asin')).show() +---+ |asin| +---+ | 0.5| | 0.7| | 0.7| +---+ 9.25 pyspark.sql.functions.concat(*cols):New in version 1.5. 将多个...