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.
This exercise is part of the course
Introduction to Polars
Exercise 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"
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
filled_streams_df = spotify_df.with_columns(
# Replace nulls in streams column
____,
# Replace nulls in title column
____,
)
print(filled_streams_df)