pyspark.sql.functions provides a function split() to split DataFrame string Column into multiple columns. In this tutorial, you will learn how to split
.withColumn('4',split_cols.getItem(3)) .withColumn('5',split_cols.getItem(4)) # show df df.show() 输出: 在上面的例子中,我们只取了 First Name 和 Last Name 两列,并将 Last Name 列的值拆分为位于多列中的单个字符。 注:本文由VeryToolz翻译自Split single column into multiple columns in ...
# column names for dataframe columns=['Name','Age','Courses_enrolled'] # creating dataframe with createDataFrame() df=spark.createDataFrame(data,columns) # printing dataframe schema df.printSchema() # show dataframe df.show() 输出: 1。 explode_outer():explode_outer 函数将数组列拆分为一行,用...
Fonctions filter where en PySpark | Conditions Multiples PySpark Check Column Exists in DataFrame PySpark Convert Dictionary/Map to Multiple Columns PySpark Join Two or Multiple DataFrames PySpark split() Column into Multiple Columns PySpark Where Filter Function | Multiple Conditions PySpark JSON Function...
'''Sort "Parch" column in ascending order and "Age" in descending order''' df.sort(asc('Parch'),desc('Age')).limit(5) 1. 2. Output 输出量 (Dropping columns) '''Drop multiple columns''' df.drop('Age', 'Parch','Ticket').limit(5) ...
Returns a new DataFrame by adding multiple columns or replacing the existing columns that has the same names. 添加或替换多列 withMetadata(columnName, metadata) Returns a new DataFrame by updating an existing column with metadata. 通过使用元数据更新现有列来返回新的 DataFrame。 withWatermark(eventTime...
# 为给定数组或映射中的每个元素返回一个新行 from pyspark.sql.functions import split, explode df = sc.parallelize([(1, 2, 3, 'a b c'), (4, 5, 6, 'd e f'), (7, 8, 9, 'g h i')]) .toDF(['col1', 'col2', 'col3', 'col4']) df.withColumn('col4', explode(split(...
Column manipulation 创建新的列 # Import the required functionfrom pyspark.sql.functions importround# Convert 'mile' to 'km' and drop 'mile' columnflights_km=flights.withColumn('km',round(flights.mile*1.60934,0))\.drop('mile')# Create 'label' column indicating whether flight delayed (1) or...
>>>df.columns ['age','name'] New in version 1.3. corr(col1, col2, method=None) 计算一个DataFrame中两列的相关性作为一个double值 ,目前只支持皮尔逊相关系数。DataFrame.corr() 和 DataFrameStatFunctions.corr()是彼此的别名。 Parameters: col1 - The name of the first column ...
printSchema() ; columns ; describe() # SQL 查询 ## 由于sql无法直接对DataFrame进行查询,需要先建立一张临时表df.createOrReplaceTempView("table") query='select x1,x2 from table where x3>20' df_2=spark.sql(query) #查询所得的df_2是一个DataFrame对象 ...