问题
I am trying to add a column to DataFrame depending on whether column value is in another column as follow:
df=df.withColumn('new_column',when(df['color']=='blue'|df['color']=='green','A').otherwise('WD'))
after running the code I obtain the following error:
Py4JError: An error occurred while calling o59.or. Trace:
py4j.Py4JException: Method or([class java.lang.String]) does not exist
at py4j.reflection.ReflectionEngine.getMethod(ReflectionEngine.java:318)
at py4j.reflection.ReflectionEngine.getMethod(ReflectionEngine.java:326)
at py4j.Gateway.invoke(Gateway.java:274)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:748)
what shall I do to overcome this issue? I am using PySpark 2.3.0
回答1:
While using multiple conditions, each condition needs to be separated because of operator precedence.
df=df.withColumn('new_column',when((df['color']=='blue')|(df['color']=='green'),'A').otherwise('WD'))
来源:https://stackoverflow.com/questions/49191500/spark-getnewargs-error-method-orclass-java-lang-string-does-not-exis