Study
Pandas · Cleaning data
Fixing messy columns: stripping and normalising strings, converting types with to_numeric, renaming, dropping duplicates and mapping categories.
- The .str accessor applies string methods to a whole column at once.
- pd.to_numeric(errors="coerce") turns unparseable values into NaN instead of crashing.