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You can use the following steps to include an HDFS spark jar file in a Python Jupyter notebook using the "spark addJar" command:

1. Start by importing the necessary modules and initializing the Spark context:

from pyspark.sql import SparkSession

spark = SparkSession.builder.appName("JarTest").getOrCreate()

1. Use the "spark addJar" command to add the HDFS spark jar file to the Spark context:

spark.sparkContext.addJar("/path/to/jar/file")

Make sure to replace "/path/to/jar/file" with the actual path to the jar file on your system.

1. You can now use the classes and functions provided by the jar file in your Python code. For example:

from com.example.myjarfile import MyJarClass

my_object = MyJarClass()
my_object.do_something()

Here, "com.example.myjarfile" is the package name for the jar file, "MyJarClass" is the name of the class you want to use, and "do_something()" is a method provided by the class.

That's it! You have now added an HDFS spark jar file to your Python Jupyter notebook and can use its classes and functions in your code.