Replacing missing values
You are preparing data for a machine learning model. In this case, you don't want to drop rows with missing values, instead you want to replace them with different approaches for different kinds of columns.
The spotify_df DataFrame is available for you.
Este ejercicio forma parte del curso
Introduction to Polars
Instrucciones del ejercicio
- Replace null values in the
"streams"column with the.mean()of the"streams"column. - Replace null values in the
"title"column with the string"Unknown".
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
filled_streams_df = spotify_df.with_columns(
# Replace nulls in streams column
____,
# Replace nulls in title column
____,
)
print(filled_streams_df)