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.
Diese Übung ist Teil des Kurses
Introduction to Polars
Anleitung zur Übung
- 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".
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
filled_streams_df = spotify_df.with_columns(
# Replace nulls in streams column
____,
# Replace nulls in title column
____,
)
print(filled_streams_df)