In this example, we will extract the size of the HDD and its type into separate columns, and will then calculate the minimum volume needed to put each computer in boxes:

import pyspark.sql as sql
import pyspark.sql.functions as f

sample_data_transformed = (
    sample_data_df
    .rdd
    .map(lambda row: sql.Row(
        **row.asDict()
        , HDD_size=row.HDD.split(' ')[0]
        )
    )
    .map(lambda row: sql.Row(
        **row.asDict()
        , HDD_type=row.HDD.split(' ')[1]
        )
    )
    .map(lambda row: sql.Row(
        **row.asDict()
        , Volume=row.H * row.D * row.W
        )
    )
    .toDF()
    .select(
        sample_data_df.columns + 
        [
              'HDD_size'
            , 'HDD_type'
            , f.round(
                f.col('Volume')
            ).alias('Volume_cuIn')
        ]
    )
)