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.
Questo esercizio fa parte del corso
Introduction to Polars
Istruzioni dell'esercizio
- 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".
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
filled_streams_df = spotify_df.with_columns(
# Replace nulls in streams column
____,
# Replace nulls in title column
____,
)
print(filled_streams_df)