Creating new columns with a suffix
You are asked by a client how each vehicle ranks relative to the others in terms of their performance characteristics such as their acceleration or range.
This exercise is part of the course
Introduction to Polars
Exercise instructions
- Use selectors to select all of the string and float columns in a new DataFrame
rank_df. - Add new columns with the rank of the float columns with the suffix
"_rank"added to the column name.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
rank_df = (
ev_df
# Select all string and float columns
.select(____)
# Add new columns with the rank of the float columns
.with_columns(____)
)
print(rank_df)