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 exercicio faz parte do curso
Introduction to Polars
Instruções do exercicio
- 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".
exercicio interativo prático
Tente este exercicio completando este código de exemplo.
filled_streams_df = spotify_df.with_columns(
# Replace nulls in streams column
____,
# Replace nulls in title column
____,
)
print(filled_streams_df)