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.
Este ejercicio forma parte del curso
Introduction to Polars
Instrucciones del ejercicio
- Update the column names with the column name mappings in the
renamed_columnsdict. - Drop the
"top_speed"and"charge_rate"columns from the DataFrame.
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# 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)