Trim string column in PySpark dataframe

Question

I'm beginner on Python and Spark. After creating a DataFrame from CSV file, I would like to know how I can trim a column. I've try:

df = df.withColumn("Product", df.Product.strip())

df is my data frame, Product is a column in my table

But I see always the error:

Column object is not callable

Do you have any suggestions?

Answer 1

from pyspark.sql.functions import trim

df = df.withColumn("Product", trim(col("Product")))