How do I use multiple conditions with pyspark.sql.functions.when()?

Question

I have a dataframe with a few columns. Now I want to derive a new column from 2 other columns:

from pyspark.sql import functions as F
new_df = df.withColumn         


        

Answer 1

Use parentheses to enforce the desired operator precedence:

F.when( (df["col-1"]>0.0) & (df["col-2"]>0.0), 1).otherwise(0)