Replacing multiple patterns
The analytics team needs to calculate average product sizes, but the size column contains text values like "30ml" instead of numbers. You can replace multiple patterns at once to clean these values.
Cet exercice fait partie du cours
<cours>Data Transformation with Polars</cours>Instructions de l’exercice
- Replace
"30ml","50ml", and"100ml"in the"size"column with their numeric equivalents"30","50", and"100". - Cast the
"size"column to a 64-bit integer.
Exercice interactif pratique
Essayez cet exercice en complétant ce code d’exemple.
# Replace size values with numeric strings
reviews.with_columns(
pl.col("size").str.____(["30ml","50ml","100ml"],["____","____","____"])
# Cast size column to integer
).____({"____":pl.Int64})