Renaming and dropping columns
When you present results to your colleagues you see that they are confused about what some data represents and overwhelmed by the amount of data presented. You want to rename some columns to ensure your colleagues understand what each column refers to, while dropping some columns that are not relevant.
Questo esercizio fa parte del corso
Introduction to Polars
Istruzioni dell'esercizio
- Update the column names with the column name mappings in the
renamed_columnsdict. - Drop the
"top_speed"and"charge_rate"columns from the DataFrame.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Dict with column renamings
renamed_columns = {"accel":"acceleration_secs","range":"range_km"}
# Rename and drop the columns
modified_ev_df = (
ev_df.____.____
)
print(modified_ev_df)