How can we dynamically trim all string columns in a DataFrame using list comprehension without hardcoding column names?
Iterating through df.dtypes enables programmatic generation of transformation expressions for specific data types.
Sanitizing enterprise datasets with dozens of string columns during automated ingestion pipelines.
string_cols = [c for c, t in df.dtypes if t == "string"]
df_clean = df.select([trim(col(c)).alias(c) if c in string_cols else col(c) for c in df.columns])Practice typing production-grade PySpark code for Dynamic Column Transformations.