Filling missing values
Finally, you can replace specific values directly. The finance team needs complete pricing data, but some products have missing prices marked as "N/A". Based on historical data, the average product costs around "10,99".
Este ejercicio forma parte del curso
Data Transformation with Polars
Instrucciones del ejercicio
- Replace
"N/A"values in the"price"column with"10,99".
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Replace missing prices with the estimated value
reviews.with_columns(
pl.col("____").____("____","10,99")
)