from pyspark.sql import SparkSession from pyspark.sql.functions import when # 创建SparkSession spark = SparkSession.builder.appName("Multiple WHEN Conditions").getOrCreate() # 创建示例数据 data = [("John", 25), ("Alice", 30), ("Mike", 35)] df = spark.createDataFrame(data, ["Name",...
# create a new col based on another col's value data = data.withColumn('newCol', F.when(condition, value)) # multiple conditions data = data.withColumn("newCol", F.when(condition1, value1) .when(condition2, value2) .otherwise(value3)) 自定义函数(UDF) # 1. define a python function...
https://spark.apache.org/docs/latest/api/python/pyspark.mllib.html#pyspark.mllib.evaluation.BinaryClassificationMetrics https://stackoverflow.com/questions/37707305/pyspark-multiple-conditions-in-when-clause
Multiple when conditions can be chained together. from pyspark.sql.functions import col, when df = auto_df.withColumn( "mpg_class", when(col("mpg") <= 20, "low") .when(col("mpg") <= 30, "mid") .when(col("mpg") <= 40, "high") .otherwise("very high"), ) # Code snippet...
To filter on multiple conditions, use logical operators. For example, & and | enable you to AND and OR conditions, respectively. The following example filters rows where the c_nationkey is equal to 20 and c_acctbal is greater than 1000.Python Копирај ...
Including additional data, such as weather conditions or special events, could potentially enhance model accuracy and relevance. Moreover, while we incorporated time and holiday features, our models might benefit from more sophisticated features such as interaction terms between time slots and location ...
What I have found out is that under some conditions (e.g. when you rename fields in a Sqoop or Pig job), the resulting Parquet Files will differ in the fact that the Sqoop job will ALWAYS create Uppercase Field Names, where the corresponding Pig Job does not do tha...
The files are uploaded to a staging folder /user/${username}/.${application} of the submitting user inHDFS. Because of the distributed architecture ofHDFSit is ensured that multiple nodes have local copies of the files. In fact to ensure that a large fraction of the cluster has a local ...
从中筛选出信息,slf4j-log4j12-1.7.2.jar、log4j-slf4j-impl-2.4.1.jar,以及Class path contains multiple SLF4J bindings,说明是slf4j-log4j12-1.7.2.jar和 log4j-slf4j-impl-2.4.1.jar重复了,应该去掉其中一个jar包。把log4j-slf4j-impl-2.4.1.jar包去掉后项目启动正常。 8)Could not create ServerSoc...
Recursively drop multiple fields at any nested level. from nestedfunctions.functions.drop import drop dropped_df = drop( df, fields_to_drop=[ "root_column.child1.grand_child2", "root_column.child2", "other_root_column", ] ) Duplicate Duplicate the nested field column_to_duplicate as dupli...