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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.

Cet exercice fait partie du cours

Introduction to Polars

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Instructions

  • Update the column names with the column name mappings in the renamed_columns dict.
  • Drop the "top_speed" and "charge_rate" columns from the DataFrame.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

# 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)
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