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.
Cet exercice fait partie du cours
Introduction to Polars
Instructions
- 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".
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
filled_streams_df = spotify_df.with_columns(
# Replace nulls in streams column
____,
# Replace nulls in title column
____,
)
print(filled_streams_df)