The Pyspark lit() function is used to add the new column to the data frame already created; we are creating a new column by assigning a constant or literal value. The lit function returns the return type as a c
PySpark Update Column Examples Below, the PySpark code updates the salary column value of DataFrame by multiplying salary by three times. Note thatwithColumn()is used to update or add a new column to the DataFrame, when you pass the existing column name to the first argument to withColumn() ...
PySpark SQL functionslit()andtypedLit()are used to add a new column to DataFrame by assigning a literal or constant value. Both these functions returnColumn typeas return type.typedLit()provides a way to be explicit about the data type of the constant value being added to a DataFrame, help...
from pyspark.sql import functions as f def generate_udf(constant_var): def test(col1, col2): if col1 == col2: return col1 else: return constant_var return f.udf(test, StringType()) df.withColumn('new_column',generate_udf('default_value')(f.col('userID'), f.col('movieID')))...
value – 一个文字值或一个Column表达式 >>> df.select(when(df['age'] == 2, 3).otherwise(4).alias("age")).collect() [Row(age=3), Row(age=4)] >>> df.select(when(df.age == 2, df.age + 1).alias("age")).collect() [Row(age=3), Row(age=None)] df3 = df.withColumn(...
sql.DataFrame.withColumn.html配合使用 可以使用此选项将新列添加到现有 Dataframe 。示例：
ALTER TABLE [db].name [ON CLUSTER cluster] ADD|DROP|MODIFY COLUMN ... 1. 参数解析 ADD COLUMN 向表中添加新列 DROP COLUMN 在表中删除列 MODIFY COLUMN 更改列的类型 1. 2. 3. · 演示 (1)创建一个MergerTree引擎的表 create table mt_table_demo1 (date Date, id UInt8, name String) ENGINE...
Add a column with multiple conditions Add a constant column Concatenate columns Drop a column Change a column name Change multiple column names Change all column names at once Convert a DataFrame column to a Python list Convert a scalar query to a Python value Consume a DataFrame row-wise as ...
Add a column with multiple conditions Add a constant column Concatenate columns Drop a column Change a column name Change multiple column names Change all column names at once Convert a DataFrame column to a Python list Convert a scalar query to a Python value Consume a DataFrame row-wise as ...
Learn how Databricks and PySpark can simplify the transition for SAS developers with open standards and familiar tools, enhancing modern data and AI solutions.